248 AI Developer jobs in Canada
Senior AI Developer
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Job Description
L'anglais suivra ci-dessous / English to follow below
DESCRIPTION:
Valsoft est à la recherche d’un développeur IA Senior pour se joindre à notre équipe au Canada.
À PROPOS DE VALSOFT CORP.:
Fondée au Canada en 2015, Valsoft possède aujourd’hui un portefeuille mondial de plus de 118 entreprises. Elle acquiert et développe des sociétés de logiciels spécialisées dans des marchés verticaux, leur permettant d’offrir les meilleures solutions critiques à leurs clients dans leur secteur respectif. Un principe fondamental de la philosophie de Valsoft est d’investir dans des entreprises bien établies et de favoriser un environnement entrepreneurial, afin de les façonner en leaders dans leur domaine. Valsoft vise à acquérir, conserver et créer de la valeur grâce à des partenariats à long terme avec les équipes de direction en place.
APPROCHE D’INVESTISSEMENT:
Contrairement aux firmes de capital-investissement et de capital-risque, nous sommes des entrepreneurs qui achètent, développent et font croître des entreprises logicielles. C’est exact : nous ne revendons pas les entreprises. Nous formons une alliance stratégique avec les équipes de direction en place. Nous reconnaissons le dévouement et la persévérance nécessaires pour créer une entreprise, et nous accordons la priorité au bien-être des clients et des employés plutôt qu’aux objectifs à court terme.
CULTURE:
Valsoft est bien plus qu’un simple lieu de travail : nous sommes une équipe. Lorsque nous affirmons que les gens sont notre plus grand atout, nous le pensons sincèrement. Investir dans nos employés est notre priorité absolue. Nous créons un environnement où nos employés ressentent l’excitation du premier jour, jour après jour, favorisant une culture de performance et de collaboration. Nous célébrons nos réussites, et nous en sommes fiers. Nous rêvons grand, restons humbles et toujours motivés.
RESPONSABILITES PRINCIPALES:
- Rénover et moderniser les systèmes hérités au sein d'une entreprise du portefeuille, en supervisant le processus de bout en bout avec une approche pratique.
- Concevoir, construire et déployer des fonctionnalités alimentées par l'IA, y compris des workflows basés sur des agents, la recherche RAG, et des outils prédictifs, en garantissant qu'elles se déploient automatiquement sur plusieurs produits.
- Prendre la pleine responsabilité de la pile technologique : gérer tout, des bases de données aux API, en passant par le développement front-end, les pipelines CI/CD et l'infrastructure cloud.
- Promouvoir les meilleures pratiques en matière de qualité du code, de tests et d'observabilité tout en fournissant du mentorat et en travaillant en binôme avec les membres de l'équipe si nécessaire.
- Itérer rapidement : prototyper de nouvelles idées dès le lundi, recueillir les retours des utilisateurs d'ici vendredi, et déployer des fonctionnalités prêtes pour la production la semaine suivante.
QUALIFICATIONS REQUISES:
- Plus de 5 ans d'expérience dans le développement et le déploiement de solutions basées sur l'IA dans des produits SaaS ou des environnements similaires.
- Un diplôme de baccalauréat en génie logiciel, en informatique ou dans un domaine connexe est considéré comme un atout.
- Expert en technologies de l'IA avec une expérience pratique des frameworks de machine learning de pointe (par exemple, TensorFlow, PyTorch, Keras) et des plateformes d'IA (par exemple, GitHub Copilot, Cursor), avec un accent sur les outils d'IA.
- Maîtrise des outils d'IA tels que LangChain-Smith, LamaIndex et autres bibliothèques et frameworks de machine learning.
- À jour avec les dernières tendances en matière de technologie et de développement logiciel.
- Compétences en résolution de problèmes dans le contexte du développement de l'IA, y compris l'optimisation du développement des modèles, le prétraitement des données et le raffinement des algorithmes.
- Collaboration : Capacité avérée à travailler au sein d'équipes transversales et collaboratives pour mener à bien des projets à fort impact.
- Adaptabilité : Capacité à prospérer dans un environnement dynamique avec la flexibilité nécessaire pour relever de nouveaux défis et prioriser l'évolution des exigences des projets.
- Souci du détail : Engagement fort à écrire un code de haute qualité garantissant la fiabilité, la performance et l'efficacité des modèles.
- Compétences en communication : Excellentes compétences en communication verbale et écrite pour transmettre efficacement des concepts techniques complexes aux parties prenantes non techniques.
AVANTAGES POUR LES EMPLOYÉS CHEZ VALSOFT :
- Horaire de travail flexible
- Vacances illimitées après 1 an
- Allocation annuelle pour le bien-être
- Programme de remboursement de formation
Prêt à rejoindre une équipe collaborative et innovante où vous pouvez avoir un impact immédiat ?
___
DESCRIPTION:
Valsoft is looking for a Senior AI Developer to join our team in Canada.
ABOUT VALSOFT CORP.:
Established in Canada in 2015, Valsoft has grown to a global portfolio of 118+ companies, acquiring and developing vertical market software companies, enabling each business to deliver the best mission-critical solutions for customers in their respective industries. A key tenet of Valsoft’s philosophy is to invest in well-established businesses and foster an entrepreneurial environment that molds companies into leaders in their respective industries. Valsoft looks to buy, hold and create value through long-term partnerships with existing management.
INVESTMENT APPROACH:
Unlike private equity and venture capital firms, we are Entrepreneurs who Buy , Enhance and Grow Software Businesses. That’s right; we don’t sell businesses. We form a strategic alliance with existing management teams. We recognize the dedication and perseverance required to create a firm and place a premium on customers’ and workers’ well-being over short-term goals.
CULTURE:
Valsoft is more than just a place to work; we’re a team. We mean it when we say people are our greatest assets, so investing in them is our number one priority. We create an environment where our employees feel first-day-on-the-job excitement, day after day, creating a culture of high performers and collaboration. We celebrate our milestones, and we’re proud of them. We Dream Big, Stay Humble and Stay Hungry.
KEY RESPONSIBILITIES:
- Revamp and modernize legacy systems within a portfolio company, overseeing the process end-to-end with a hands-on approach.
- Design, build, and deploy AI-powered features, including agent-based workflows, RAG search, and predictive tools, ensuring they seamlessly auto-deploy across multiple products.
- Take full ownership of the stack : manage everything from databases to APIs, front-end development, CI/CD pipelines, and cloud infrastructure.
- Promote best practices in code quality, testing, and observability while providing mentorship and pairing with team members as necessary.
- Iterate rapidly : prototype new ideas by Monday, gather user feedback by Friday, and push production-ready features the following week.
REQUIRED QUALIFICATIONS:
- 5+ years of experience in developing and deploying AI-driven solution within SaaS products or similar environments
- Bachelor’s degree in software engineering, Computer Science, or a related field is considered an asset
- Expert in AI technologies with hands-on experience in cutting-edge machine learning frameworks (e.g., TensorFlow, PyTorch, Keras) and AI platforms (e.g., GitHub Copilot, Cursor), with a focus on AI tools
- Proficiency with AI tools such as LangChain-Smith, LamaIndex, and other machine learning libraries and frameworks.
- Up to date with the latest trends in technology and software development
- Problem-Solving Skills in the context of AI development, including model development optimization, data preprocessing and algorithm refinement.
- Collaboration : Proven ability to work in cross-functional, collaborative teams to drive high-impact projects
- Adaptability : Ability to thrive in a fast-paced environment with the flexibility to tackle new challenges and prioritize changing project requirements
- Attention to Detail : Strong commitment to writing high-quality code that ensure model reliability, performance, and efficiency
- Communication Skills : Excellent verbal and written communication skills to effectively convey complex technical concepts to non-technical stakeholders
EMPLOYEE PERKS:
- Flexible working schedule
- Unlimited vacation after 1 year
- Annual wellness benefit
- Training reimbursement program
Ready to join a collaborative and innovative team where you can make an immediate impact?
Requirements
AI Systems Developer
Posted 1 day ago
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Job Description
Salary:
dcbel Inc. ( is a growing company developing technology and designing products that will make clean, efficient, and sustainable energy accessible to all because everyone in the world deserves energy without compromise.
dcbel at the leading edge of the residential energy revolution, enabling decentralized energy consumption and production through its vertically integrated suite of energy hardware and software products, and their supporting infrastructure. Our flagship product, the dcbel Home Energy Station, is a small wall mounted device that gives everyone ownership over their energy supply by using solar power to charge their EV and home, unlocking their EVs battery for backup power (V2H), and optimizing the energy flow between their solar panels, EVs, backup battery and the grid.
The opportunity
dcbel is looking for an AI Systems Developer to join our team. In this role, you will be responsible for designing, developing, and implementing AI systems and applications to enhance dcbel's technology offerings. You will work closely with cross-functional teams to create innovative AI solutions that align with business objectives and customer needs.
If this sounds like the role for you, we invite you to apply and help shape the future of our software solutions!
Main responsibilities
- Analyze the AI needs of the organization and propose innovative solutions.
- Design, develop, and maintain AI systems and applications.
- Collaborate with stakeholders to develop AI models.
- Integrate AI solutions to existing technologies
- Perform data mining and apply machine learning techniques.
- Perform testing and quality assurance of AI applications and systems.
- Keep up-to-date with the latest advancements and trends in AI.
- Train and educate staff about the potential and practical applications of AI.
- Ensure the ethical use of AI and compliance with data privacy regulations.
- Document and explain AI solutions to non-technical stakeholders.
- Optimize existing AI applications and systems for improved performance and functionality.
Key requirements
- University degree in Software Engineering or equivalent post-secondary education and/or experience required.
- 10+ years of experience working with AI software development languages such as C# and Python
- Proficiency in machine learning libraries and algorithms.
- Strong understanding of data structures, data modeling, and software architecture.
Bonus skills
- Bilingual English and French
Profile
- Proven track record in architecting and delivering large-scale AI solutions within enterprise environments.
- Commitment to ethical AI practices and data privacy compliance.
- Enthusiastic about continuous learning and proactively staying at the forefront of AI trends, advancements, and best practices.
- Excellent verbal and written communication skills, capable of tailoring complex concepts to both technical and business-focused audiences.
- Skilled at leveraging cross-functional collaboration to integrate AI capabilities across enterprise systems and processes.
- Strong sense of ownership, with the ability to work autonomously, prioritize tasks, and thrive in a fast-paced, rapidly evolving environment.
- Excellent problem-solving and decision-making skills.
- Innovator with a high energy level.
What's in it for you
- Be part of a company that is backed by numerous globally respected investors and has world-changing patents in an industry changing for the first time in history.
- Grow your professional experience amongst blue chip partners and a close-knit team of committed and experienced energy experts who deeply care about the work they do.
- Full benefits package including Health insurance, Health virtual care, employee stock options plan (ESOP) and flexible hours. Parking available or with our employer commute program a short walking distance from Metro Namur.
AI Systems Developer
Posted 13 days ago
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Location: Montreal, QC -Hybrid
Term: Permanent
High Tech Genesis is hiring an AI Systems Developer to design and build AI solutions. You will collaborate with cross-functional teams to develop innovative systems that meet business goals and customer needs.
Ready to make an impact? Apply now and help shape the future of our software!
In this role, you will:
Analyze the AI needs of the organization and propose innovative solutions.
Design, develop, and maintain AI systems and applications.
Collaborate with stakeholders to develop AI models.
Integrate AI solutions to existing technologies.
Perform data mining and apply machine learning techniques.
Perform testing and quality assurance of AI applications and systems.
Keep up-to-date with the latest advancements and trends in AI.
Train and educate staff about the potential and practical applications of AI.
Ensure the ethical use of AI and compliance with data privacy regulations.
Document and explain AI solutions to non-technical stakeholders.
Optimize existing AI applications and systems for improved performance and functionality.
Développeur Full Stack IA | Full Stack AI Developer
Posted 1 day ago
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Job Description
Valsoft is looking for a Full Stack AI Developer to join our team in Montreal, Quebec, Canada.
ABOUT VALSOFT CORP.:
Established in Canada in 2015, Valsoft has grown to a global portfolio of over 130 companies across 20+ countries, with a combined valuation exceeding $2 billion. We operate at the intersection of private investment and technology––blending entrepreneurial velocity with institutional-grade rigor. Backed by Coatue, Viking Global Investors and Sagard, we are building a cross-functional center of excellence in finance, data, and technology at our headquarters to support scalable operations, innovation, and automation across our portfolio.
INVESTMENT APPROACH:
Unlike private equity or venture capital firms, we are Entrepreneurs who Buy, Enhance and Hold Software Businesses. We form strategic alliances with incumbent management teams, prioritize customer and employee wellbeing, and aim for long-term success over short-term gains.
CULTURE:
Valsoft is more than a workplace—it’s a team. We genuinely believe our people are our greatest asset, and we invest in them first and foremost. We foster an environment where employees feel that first-day excitement again and again, creating a culture of high performance and collaboration. We celebrate milestones, remain proud yet humble, Dream Big and Stay Hungry.
POSITION DESCRIPTION:
As a Full Stack AI Developer on our Data Intelligence team within Corporate Finance, you will design, build, and deploy AI/ML solutions that revolutionize financial analysis, forecasting, and optimization. You will own the end-to-end lifecycle of key AI products—including document processing agents, finance chat assistants, and more—from ideation through production, collaborating closely with finance and data teams.
KEY RESPONSIBILITIES:
• Design and deploy AI/ML models for forecasting, anomaly detection, and document intelligence.
• Rapidly prototype novel solutions and assess business impact before scaling.
• Build internal tools that embed AI into finance workflows (e.g., reconciliation, reporting, invoicing).
• Package AI outputs into intuitive applications for users of all technical levels.
• Leverage structured and unstructured financial data (e.g., Snowflake) to engineer features and train models.
• Collaborate with the data team to align schemas and pipelines.
• Partner with finance leaders to understand needs and translate into effective AI solutions.
• Deliver clear, actionable insights based on AI outputs to finance stakeholders.
• Write clean, well-documented, version-controlled, and tested code.
• Stay current with AI/ML trends, tools, and frameworks, and propose their adoption.
REQUIRED/MINIMUM QUALIFICATIONS:
• Bachelor’s degree in Software Engineering, Computer Science or related field.
• 3+ years of experience deploying AI/ML solutions in production, ideally in finance or enterprise settings—but passionate candidates with demonstrated project impact are encouraged.
• Proficiency in Python and data science libraries (Pandas, scikit‑learn, Transformers).
• Strong analytical mindset with the ability to translate business processes into AI-enhanced solutions.
• Excellent cross-functional communication and collaboration skills (finance, BI, engineering).
• Experience developing lightweight web applications using JavaScript frameworks (Node.js, React).
OPTIONAL/PREFERRED QUALIFICATIONS:
• Strong SQL skills and experience with data warehouses like Snowflake.
• Familiarity with financial systems or ERPs such as NetSuite, Power BI.
• Prior experience building internal tools or productizing data science.
• A drive to build, lead, and own AI initiatives end-to-end.
Ready to join a collaborative and innovative team where you can make an immediate impact?
.
DESCRIPTION :
Valsoft est à la recherche d’un Full Stack AI Developer pour intégrer notre équipe à Montréal, Québec, Canada.
À PROPOS DE VALSOFT CORP. :
Fondée au Canada en 2015, Valsoft possède aujourd’hui un portefeuille mondial de plus de 130 entreprises réparties dans 20+ pays, avec une valorisation combinée de plus de 2 milliards USD. Nous opérons au croisement de l’investissement privé et de la technologie : une vélocité entrepreneuriale avec une rigueur institutionnelle. Soutenue par Coatue, Viking Global Investors et Sagard, Valsoft construit au siège social un centre d’excellence en finance, données et technologie pour scaler, innover et automatiser les opérations à l’échelle du groupe.
APPROCHE D’INVESTISSEMENT :
Contrairement aux firmes de capital-investissement ou capital-risque, nous sommes des entrepreneurs qui achètent, développent et conservent des sociétés logicielles. Nous formons des alliances stratégiques avec les équipes en place, valorisons le bien-être des clients et employés, et visons un succès durable, pas à court terme.
CULTURE :
Valsoft, c’est bien plus qu’un poste : c’est une équipe. Nos employés sont notre atout principal, et leur développement est notre priorité. Nous cultivons l’enthousiasme du premier jour, favorisons la performance collective, célébrons nos réussites et restons humbles tout en rêvant grand et en restant affamés.
DESCRIPTION DU POSTE :
En tant que Full Stack AI Developer au sein de l’équipe Data Intelligence du département Corporate Finance, vous concevrez, développerez et déploierez des solutions IA/ML pour transformer l’analyse, la prévision et l’optimisation financière. Vous serez responsable de projets clés tels qu’agents de traitement documentaire, assistants financiers automatisés, et autres outils intelligents, de la conception à la mise en production, en collaborant étroitement avec les équipes finance et data.
RESPONSABILITÉS PRINCIPALES :
• Concevoir et déployer des modèles IA/ML pour la prévision, la détection d’anomalies et l’intelligence documentaire.
• Prototyper rapidement de nouvelles approches et mesurer leur impact avant de les industrialiser.
• Développer des applications internes intégrant l’IA à des workflows financiers (réconciliations, rapports, facturation).
• Transformer les sorties IA en outils conviviaux pour utilisateurs techniques et non-techniques.
• Exploiter les données financières structurées et non structurées (e.g. Snowflake) pour ingérer, traiter et entraîner des modèles.
• Collaborer avec l’équipe data pour harmoniser les schémas et pipelines.
• Travailler avec les leaders finance pour comprendre leurs besoins et convertir en solutions IA pertinentes.
• Présenter des résultats AI clairs et exploitables aux parties prenantes financières.
• Produire un code propre, documenté, versionné et testé.
• Se tenir à jour des avancées IA/ML et proposer de nouvelles librairies ou frameworks.
QUALIFICATIONS REQUISES / MINIMALES :
• Baccalauréat en génie logiciel, informatique ou domaine connexe.
• Minimum 3 ans d’expérience dans la mise en production de solutions IA/ML, idéalement en finance ou en entreprises ; des profils passionnés et avec des projets concrets sont aussi encouragés.
• Maîtrise de Python et des bibliothèques Pandas, scikit‑learn, Transformers.
• Esprit analytique et capacité à traduire les processus métier en solutions IA.
• Excellentes compétences en communication et collaboration inter‑disciplinaire (finance, BI, ingénierie).
• Expérience en développement front‑end/back‑end léger avec JavaScript (Node.js, React).
QUALIFICATIONS SUPPLÉMENTAIRES OU SOUHAITÉES :
• Maîtrise du SQL et expérience des data warehouses (e.g. Snowflake).
• Connaissance d’outils financiers ou ERP comme NetSuite, Power BI.
• Expérience dans la création d’outils internes ou la mise en produit de projets data‑science.
• Motivation pour initier et diriger des initiatives IA de bout en bout.
Prêt(e) à rejoindre une équipe collaborative et innovante où vous pourrez avoir un impact immédiat ?
AI Engineer
Posted 1 day ago
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Job Description
Salary: $90,000-$130,000
As an AI Engineer, you will work as part of a small, autonomous, agile team to deliver both internal and external applications; built on a modern hybrid cloud platform. You will create high quality products which are scalable, testable, and extensible and provide high value to our customers. This is an exciting opportunity for an individual who is looking to bring their passion for tech into the construction space!
Biiibo Inc. is a fast-growing start-up and market leader in the on-demand delivery service for construction materials and supplies space. Since our launch in early 2020, our team has grown from 10 employees to 90 in less than a year! With proven success in the industry and nolimitingrunway, we are growing exponentially and were looking for driven challenge-seekers to join our team!
A day in the life:
- Design, develop, and deploy machine learning models that enhance mobile apps through predictive analytics, demand forecasting, and personalized experiences. Create innovative, data-driven solutions.
- Write production-ready code to train and integrate AI models into mobile apps. Optimize these models to ensure they are scalable, reliable, and efficient in a mobile-first environment.
- Build and optimize data pipelines for seamless real-time processing. Ensure efficient data flow into AI models to power mobile applications with real-time insights.
- Work closely with engineering and product teams to integrate AI solutions into mobile apps effectively. Foster collaboration to ensure successful deployment of new features.
- Set up tools and frameworks to monitor AI model performance in real time. Regularly assess and refine models to maintain accuracy and effectiveness, ensuring consistent improvement of app performance and user experience.
- Maintain clear documentation for all AI models, data pipelines, and integration processes. Foster knowledge-sharing and best practices to keep the team's AI work well-documented and reproducible.
Basic Qualifications:
- 3+ years of professional software development experience
- 3+ years of experience contributing to the architecture and design (architecture, design patterns, reliability, scaling) of mobile apps and AI/ML systems.
- Programming experience in Kotlin for Android and Swift for iOS is a plus
- Demonstrated understanding of computer science fundamentals (algorithms, data structures, networking, distributed systems) and their application in mobile development and AI/ML.
- Experience and expertise in system and software design, including integrating AI/ML models and algorithms into mobile applications.
- Proficient in mobile development with languages such as Kotlin, Swift, Java, Python, JavaScript, and frameworks such as Node.js, with an understanding of mobile development best practices.
- Ability to write clean, maintainable, and testable code, and work with a cross-platform mobile development environment.
- Familiarity with backend development, cloud services (GCP, AWS), and deploying AI models into mobile applications.
Preferred Qualifications:
- BE /B Tech in Computer Science or related degree (Master's or Ph. D. preferred) along with 3+ years of relevant experience
- Proficiency in object oriented programming in Java, C#,C++, Python, Rails.
- Knowledge of Computer Science Fundamentals (data structures, systems design, algorithms, and problem solving).
- Proficiency in coding and designing multi-attribute based analytics system.
- Experience with MariaDB, Postgres, Docker, Django.
- Familiarity with Linux/Unix.
- Comfortable in fast-paced, start-up like development environments.
Equal Opportunity Employer
Biiibo is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
AI Engineer
Posted 1 day ago
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Job Description
Salary:
At YuJa, we are on a mission to equip regulated sector clients with solutions to deliver compliant digital experiences. We integrate AI thoughtfully to support smarter decisions and create more inclusive, user-centric solutions. Were looking for a passionate AI Engineer to join our core engineering team and help design, build, and scale our AI infrastructure and models.
About Us
YuJa, Inc. is a leading provider of cloud-based digital compliance and accessibility solutions for regulated sectors worldwide. Serving clients in higher education, K-12, government, and healthcare, YuJa enables organizations to meet evolving regulatory demands while delivering engaging, secure, and accessible digital experiences. We have legal headquarters in Delaware with primary U.S. offices in Silicon Valley, California and Canadian offices in Toronto.
About the Role
- Design, develop, and deploy machine learning and deep learning models
- Collaborate with product, design, and engineering to integrate AI models into customer-facing applications
- Conduct experiments, analyze data, and iterate models for performance improvement
- Optimize model performance and scalability (e.g., quantization, distillation, edge deployment)
- Stay current with the latest research and apply relevant findings to real-world problems
- Build and maintain pipelines for data collection, preprocessing, training, and evaluation
- Contribute to overall system design and participate in code reviews
About You
- 2-3 years experience in AI/ML Engineering or Applied Data Science
- Proficiency in Python and frameworks like PyTorch, NumPy, SciPy, Scikit-learn, and OpenCV.
- Experience with building, training, and deploying models in production
- Strong understanding of machine learning fundamentals
- Knowledge of cloud infrastructure (AWS, GCP, Azure)
- Experience in LLM frameworks like LangChain and Vector databases like Pinecone is an asset
- Experience working in a fast-paced environment is preferred
- Familiarity with front-end or full-stack technologies is a plus
Why You'll Love Working Here
YuJa is a multiple-time honoree on Forbes list of Best Start-Up Employers in America. We offer a competitive compensation package that includes a base salary of $90,000 to $100,000 (We are looking for top performers based on work experience and academic performance. For the right candidate, we will beat any contending offer you have or offer a name your salary opportunity for star candidates) , and comprehensive benefits and engagement opportunities.
Comprehensive Benefits:
- Health, vision, and dental benefits, 100% employer-paid
- Additional benefits include RRSP, gym subsidies, and more
- Work-life balance including flexible work hours
- Paid sick days
Team Engagement:
- Fun activities and celebrations, including Canada Day Trip, Saint Patrick's Day Party, Halloween Costume Contests, Holiday Dinner Party, and more
- Office perks including company-provided snacks, drinks and events
- Employee recognition programs, such as gift cards and Employee of the Week rewards
- Professional growth including continuous learning opportunities and reimbursements to support personal and professional development
- Hands-on experience working with senior-level business leaders
Schedule
This is an office-based role with standard hours from Monday to Friday.
How to Apply
You may apply directly online via this site by submitting your resume. If any questions, please send an email
YuJa is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Generative AI Engineer
Posted 1 day ago
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Job Description
About Alexa Translations
Alexa Translations provides translation services in the legal, financial, and securities sectors by leveraging proprietary A.I. technology and a team of highly specialized linguistic experts. Unmatched in speed and quality, our machine translation engine is best-in-class and specifically trained for the French-Canadian market. If that wasn’t enough, our technology is backed by two decades of award-winning client service.
About the Role
We are looking for a Generative AI Engineer to develop our next-generation intelligent translation and translation-related service engine, using Generative AI (GenAI) and Large Language Model (LLM) technologies. You will report to the team lead on GenAI, develop and implement state-of-the-art algorithms by fast prototyping, and collaborate with the software team to deploy models. We expect our Generative AI Engineer to stay current with the technological cutting edge and build applications of LLM and GenAI to machine translation with best industry practices, as well as having solid background and hands-on experience with deep learning, machine learning, natural language processing, and big data.
Responsibilities
- Research and implement state-of-the-art LLM techniques including continued pre-training, instruction fine-tuning, preference alignment, and LLM deployment while also focusing on prompt engineering and GenAI more broadly.
- Work closely with machine learning engineers and data scientists to design, build, and test models.
- Contribute to technological innovations by staying current to the cutting-edge achievements of GenAI and LLM from industry and academia.
- Develop efficient and scalable algorithms for training and inference of generative models, leveraging deep learning frameworks such as TensorFlow or PyTorch and optimizing performance on diverse hardware platforms.
- Train and evaluate generative models using appropriate metrics and benchmarks, fine-tuning model parameters, architectures, and hyperparameters to optimize performance, stability, and generalization.
- Work closely with software and DevOps engineers to deploy GenAI models.
- Document code, algorithms, and experimental results, following best practices for reproducibility, version control, and software engineering, and contribute to internal knowledge sharing and continuous improvement initiatives.
- Requirements
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or related field.
- 1+ years of industry experience developing GenAI and LLM applications is preferred.
- 2+ years of professional experience as a software engineer is required.
- Proficiency in Python programming and software development practices, with experience in building and maintaining scalable, production-grade software systems.
- Working knowledge and project-based record of all of the following: prompt tuning, RAG, ICL.
- Working knowledge and project-based record of at least one of the following is a plus: continued pre-training, instruction fine-tuning, Agent.
- Strong problem-solving skills, attention to detail, and the ability to work independently and collaboratively in a fast-paced environment.
- Hands-on experience with Huggingface APIs or Amazon Bedrock.
- Expert skills of Python, including PyTorch, TensorFlow, Pandas, etc.
- Experience with cloud platforms like AWS, GCP, or Azure
- Self-driven, self-motivated with excellent time management skills
- Excellent communication skills, with the ability to convey complex technical concepts clearly and effectively to both technical and non-technical stakeholders.
- Familiarity with GPU programming and optimization techniques for accelerating deep learning computations.
- Ability to adapt to shifting priorities without compromising deadlines and momentum.
- Prior experience in generative AI research, projects, or internships, with contributions to open-source projects or publications in relevant conferences or journals.
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Generative AI Engineer
Posted 1 day ago
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Job Description
About Alexa Translations
Alexa Translations provides translation services in the legal, financial, and securities sectors by leveraging proprietary A.I. technology and a team of highly specialized linguistic experts. Unmatched in speed and quality, our machine translation engine is best-in-class and specifically trained for the French-Canadian market. If that wasn’t enough, our technology is backed by two decades of award-winning client service.
About the Role
We are looking for a Generative AI Engineer to develop our next-generation intelligent translation and translation-related service engine, using Generative AI (GenAI) and Large Language Model (LLM) technologies. You will report to the team lead on GenAI, develop and implement state-of-the-art algorithms by fast prototyping, and collaborate with the software team to deploy models. We expect our Generative AI Engineer to stay current with the technological cutting edge and build applications of LLM and GenAI to machine translation with best industry practices, as well as having solid background and hands-on experience with deep learning, machine learning, natural language processing, and big data.
Responsibilities
- Research and implement state-of-the-art LLM techniques including continued pre-training, instruction fine-tuning, preference alignment, and LLM deployment while also focusing on prompt engineering and GenAI more broadly.
- Work closely with machine learning engineers and data scientists to design, build, and test models.
- Contribute to technological innovations by staying current to the cutting-edge achievements of GenAI and LLM from industry and academia.
- Develop efficient and scalable algorithms for training and inference of generative models, leveraging deep learning frameworks such as TensorFlow or PyTorch and optimizing performance on diverse hardware platforms.
- Train and evaluate generative models using appropriate metrics and benchmarks, fine-tuning model parameters, architectures, and hyperparameters to optimize performance, stability, and generalization.
- Work closely with software and DevOps engineers to deploy GenAI models.
- Document code, algorithms, and experimental results, following best practices for reproducibility, version control, and software engineering, and contribute to internal knowledge sharing and continuous improvement initiatives.
- Requirements
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or related field.
- 1+ years of industry experience developing GenAI and LLM applications is preferred.
- 2+ years of professional experience as a software engineer is required.
- Proficiency in Python programming and software development practices, with experience in building and maintaining scalable, production-grade software systems.
- Working knowledge and project-based record of all of the following: prompt tuning, RAG, ICL.
- Working knowledge and project-based record of at least one of the following is a plus: continued pre-training, instruction fine-tuning, Agent.
- Strong problem-solving skills, attention to detail, and the ability to work independently and collaboratively in a fast-paced environment.
- Hands-on experience with Huggingface APIs or Amazon Bedrock.
- Expert skills of Python, including PyTorch, TensorFlow, Pandas, etc.
- Experience with cloud platforms like AWS, GCP, or Azure
- Self-driven, self-motivated with excellent time management skills
- Excellent communication skills, with the ability to convey complex technical concepts clearly and effectively to both technical and non-technical stakeholders.
- Familiarity with GPU programming and optimization techniques for accelerating deep learning computations.
- Ability to adapt to shifting priorities without compromising deadlines and momentum.
- Prior experience in generative AI research, projects, or internships, with contributions to open-source projects or publications in relevant conferences or journals.
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Generative AI Engineer
Posted 1 day ago
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Job Description
Job Description
About Alexa Translations
Alexa Translations provides translation services in the legal, financial, and securities sectors by leveraging proprietary A.I. technology and a team of highly specialized linguistic experts. Unmatched in speed and quality, our machine translation engine is best-in-class and specifically trained for the French-Canadian market. If that wasn’t enough, our technology is backed by two decades of award-winning client service.
About the Role
We are looking for a Generative AI Engineer to develop our next-generation intelligent translation and translation-related service engine, using Generative AI (GenAI) and Large Language Model (LLM) technologies. You will report to the team lead on GenAI, develop and implement state-of-the-art algorithms by fast prototyping, and collaborate with the software team to deploy models. We expect our Generative AI Engineer to stay current with the technological cutting edge and build applications of LLM and GenAI to machine translation with best industry practices, as well as having solid background and hands-on experience with deep learning, machine learning, natural language processing, and big data.
Responsibilities
- Research and implement state-of-the-art LLM techniques including continued pre-training, instruction fine-tuning, preference alignment, and LLM deployment while also focusing on prompt engineering and GenAI more broadly.
- Work closely with machine learning engineers and data scientists to design, build, and test models.
- Contribute to technological innovations by staying current to the cutting-edge achievements of GenAI and LLM from industry and academia.
- Develop efficient and scalable algorithms for training and inference of generative models, leveraging deep learning frameworks such as TensorFlow or PyTorch and optimizing performance on diverse hardware platforms.
- Train and evaluate generative models using appropriate metrics and benchmarks, fine-tuning model parameters, architectures, and hyperparameters to optimize performance, stability, and generalization.
- Work closely with software and DevOps engineers to deploy GenAI models.
- Document code, algorithms, and experimental results, following best practices for reproducibility, version control, and software engineering, and contribute to internal knowledge sharing and continuous improvement initiatives.
- Requirements
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or related field.
- 1+ years of industry experience developing GenAI and LLM applications is preferred.
- 2+ years of professional experience as a software engineer is required.
- Proficiency in Python programming and software development practices, with experience in building and maintaining scalable, production-grade software systems.
- Working knowledge and project-based record of all of the following: prompt tuning, RAG, ICL.
- Working knowledge and project-based record of at least one of the following is a plus: continued pre-training, instruction fine-tuning, Agent.
- Strong problem-solving skills, attention to detail, and the ability to work independently and collaboratively in a fast-paced environment.
- Hands-on experience with Huggingface APIs or Amazon Bedrock.
- Expert skills of Python, including PyTorch, TensorFlow, Pandas, etc.
- Experience with cloud platforms like AWS, GCP, or Azure
- Self-driven, self-motivated with excellent time management skills
- Excellent communication skills, with the ability to convey complex technical concepts clearly and effectively to both technical and non-technical stakeholders.
- Familiarity with GPU programming and optimization techniques for accelerating deep learning computations.
- Ability to adapt to shifting priorities without compromising deadlines and momentum.
- Prior experience in generative AI research, projects, or internships, with contributions to open-source projects or publications in relevant conferences or journals.
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