67 Artificial Intelligence jobs in Toronto

Job Description

Job Description

About Us!  
As part of the largest baking company in the world, Bimbo Canada is a leading producer and distributor of packaged fresh bread, bakery products and snacks. We produce and distribute more than 1,000 products across; 18 brands Canadians know and trust, like Dempster's®, Villaggio®, POM®, Bon Matin®, Stonemill®, Natural Bakery®, Takis®, Thomas'®, Little Bites™, Vachon®, Hostess® and more.

In business for more than 110 years, the company operates 15 bakeries and employs approximately 4,000 associates across Canada. Bimbo Canada creates value by being at the forefront of manufacturing and service delivery innovation in the baking industry through the continued improvement and refinement of its supply chain network while serving major grocery chains, retail outlets and foodservice operations across Canada.

At Bimbo Canada, we’re more than just a bakery - we’re a family dedicated to baking delicious moments for millions. Our beliefs are the foundation of our success, and we’re looking for people who share our commitment to excellence.

Position Summary:
We are looking for an Artificial Intelligence Specialist to champion AI adoption across our company while ensuring strategic alignment with business objectives and our technology ecosystem. The ideal candidate will be knowledgeable about AI technologies and skilled in educating, guiding, and translating needs of non-technical users to leverage AI solutions that improve efficiency, decision-making, and innovation. This role serves as a bridge between AI innovation and practical business applications, fostering adoption and best practices within our global ambassador community.

Key Responsibilities:
Alignment & Business Integration

• Partner with business leaders to identify AI opportunities that align with organizational strategy and deliver measurable value
• Translate business requirements into AI use cases and collaborate with technical teams on implementation roadmaps
• Monitor AI trends and assess their relevance to our industry and competitive landscape
• Develop business cases for AI investments and track ROI on implemented solutions

P latform & Technology Evangelism

• Serve as the primary advocate for our AI platforms and tools across all business units
• Design and deliver training programs, workshops, and demonstrations to drive platform adoption
• Collaborate with IT and platform teams to ensure seamless integration with existing technology stack
• Maintain expertise in our AI toolchain and stay current with platform updates and capabilities

Leadership & Knowledge Sharing

• Actively participate in our global AI ambassador network, sharing insights and best practices
• Organize and facilitate cross-functional AI working groups and communities of practice
• Create and curate content including case studies, tutorials, and success stories
• Represent the organization at internal and external AI conferences and events

Management & Adoption

• Develop change management strategies to overcome resistance and drive AI adoption
• Identify and train local AI champions within different departments
• Establish metrics to measure AI literacy and adoption across the organization
• Provide ongoing support and guidance to teams implementing AI solutions
• Advise on ethical considerations in AI development including fairness, transparency and accountability aligned to applicable regulations.
• Being able to travel 30% of the time nationally as well as internationally.

Required Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• Proven experience with AI and machine learning concepts, tools, and applications.
• Strong communication and interpersonal skills to effectively educate and influence diverse audiences.
• Ability to translate complex AI topics into accessible language and practical business solutions.
• Familiarity with our specific AI platforms and technology stack (Microsoft, Oracle, ServiceNow) and programming skills (Python, R, or similar).
• Experience working in cross-functional teams and managing AI-related projects is preferred.
• Fluency in French and/or Spanish an asset but not mandatory

Preferred Qualifications:

• Experience in training or change management related to technology adoption.
• Knowledge of AI ethics, responsible AI practices, and data privacy regulations.
• Familiarity with cloud platforms and AI deployment environments.
• Experience tailoring AI solutions to specific industry challenges or business goals.

Growth Opportunities: Bimbo Canada is committed to personal and professional growth. We offer training, development, and advancement opportunities both domestically and internationally.

Innovation : Be part of a company that constantly innovates in the food industry. Your work will contribute to creating delicious products loved by millions.

The Bimbo Way:   We believe in the special dignity and value of the human person.  We believe that as people we form one community and we believe that this community is focused on getting results.  We do this by competing and winning in the market with superior quality in everything we do.  We believe in being sharp operators; that is, being very, very good at what we do, and always acting with integrity so that as a company we can transcend and endure for a very long time. That’s the Bimbo Way. 

We are incredibly proud of our distinction as one of Canada’s Most Admired Cultures by Waterstone Human Capital . This recognition is a reflection of how strong, people-first culture drives exceptional performance and sets us apart as industry leaders.  Bimbo Canada was also named one of the 2024 Best Places to Work by Canadian HR Reporter (CHRR) !    This tremendous honour recognizes our commitment to creating an outstanding workplace for our associates. 

If you are ready to join a company that values its associates and bakes delicious moments every day, apply today!

Your journey with Bimbo Canada starts here.

We thank all interested applicants, but only those selected will be contacted. Please note all offers of employment at Bimbo Canada (Formerly Canada Bread Company Limited) are conditional upon the successful completion of a pre-hire background check (including but not limited to criminal history, reference, credit and/or physical demands checks) as appropriate for the role and as permitted by law.

Bimbo Canada is an equal opportunity employer that is dedicated to building a diverse workplace that promotes diversity, equity and belonging in the workplace, and encourages applications from qualified people of all genders, visible minorities, aboriginal peoples and persons with disabilities. We welcome applications from all interested individuals; however, only those candidates selected for an interview will be contacted.

Job seekers with disabilities who require accommodation during the recruitment process, or would like more details about accessibility, should contact Bimbo Canada Accessibility at

Job Description

Job Description

Tucows Domains is the world's largest wholesale domain registrar, responsible for maintaining the health, neutrality, and openness of an important—but largely invisible part of the Internet: the domain name system (DNS).

As part of Tucows—one of the world's largest Internet companies—Tucows Domains has a rich history of helping make the Internet better, operating globally under the Ascio, Enom, Hover and OpenSRS brands.

What's Next at Tucows

We embrace a people-first philosophy that is rooted in respect, trust, and flexibility. We believe that whatever works for our employees is what works best for us. It's also why the majority of our roles are remote-first, meaning you can work from anywhere you can connect to the Internet! Today, over one thousand people from over 20 countries are part of our team.

If this sounds exciting to you, join the herd!

About the Opportunity

We're looking for a passionate Software Engineer specializing in Artificial Intelligence to join our growing team. In this role, you'll help shape and build innovative AI-powered systems that transform how users interact with domain-related tools and services. You'll work both with your team of forward-thinking engineers and with colleagues across business functions to prototype, develop, and deploy intelligent solutions using open-source models and modern infrastructure.

What You'll Do

• Design and build AI-driven features for our domain services platform using Python and Golang.
• Integrate and fine-tune open-source models such as LLaMA 3.2 and similar cutting-edge architectures via tools like Ollama.
• Research, evaluate, and implement emerging AI technologies that align with our vision for smarter, more intuitive products and services.
• Collaborate with internal stakeholders and fellow engineers to rapidly prototype and iterate on machine learning and LLM-based features.
• Contribute to a modern AI development stack, ensuring scalability, performance, and ethical usage of models.
• Actively participate in the open-source ecosystem and bring relevant tools and techniques back to the team.

Key Skills and Experience

• Bachelor degree in software development with strong proficiency in Python; experience with Golang is a plus.
• Solid understanding of modern AI/ML/LLM concepts, particularly around transformer-based architectures and open-source models.
• Hands-on experience with frameworks like Tensorflow, Hugging Face, or similar.
• Experience working with and adapting open-source models (e.g., LLaMA, Mistral, Mixtral, etc.) for production use.
• A working knowledge of neural networks, including their architectures, training methods, and applications.
• A basic understanding of Fuzzy Inference Systems.
• Familiarity with containerization, APIs, and cloud-native tooling.
• A collaborative mindset, strong communication skills, and enthusiasm for innovation. #LI-NA1 #LI-Remote

The base salary range for this position is $74,790 - $3,100. Range shown in CAD for Canadian residents. Other countries will differ. Range may vary on a number of factors including, but not limited to: location, experience and qualifications. Tucows believes in a total rewards offering that includes fair compensation and generous benefits

Want to know more about what we stand for? At Tucows we care about protecting the open Internet, narrowing digital divide, and supporting fairness and equality.

We also know that diversity drives innovation. We are committed to inclusion across race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability status. We celebrate multiple approaches and diverse points of view.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.

Tucows and its subsidiaries participate in the E-verify program for all US employees.

Learn more about Tucows, our businesses, culture and employee benefits on our site here.

Job Description

Job Description

Tucows Domains is the world's largest wholesale domain registrar, responsible for maintaining the health, neutrality, and openness of an important—but largely invisible part of the Internet: the domain name system (DNS).

As part of Tucows—one of the world's largest Internet companies—Tucows Domains has a rich history of helping make the Internet better, operating globally under the Ascio, Enom, Hover and OpenSRS brands.

What's Next at Tucows

We embrace a people-first philosophy that is rooted in respect, trust, and flexibility. We believe that whatever works for our employees is what works best for us. It's also why the majority of our roles are remote-first, meaning you can work from anywhere you can connect to the Internet! Today, over one thousand people from over 20 countries are part of our team.

If this sounds exciting to you, join the herd!

About the Opportunity

We're looking for a passionate Software Engineer specializing in Artificial Intelligence to join our growing team. In this role, you'll help shape and build innovative AI-powered systems that transform how users interact with domain-related tools and services. You'll work both with your team of forward-thinking engineers and with colleagues across business functions to prototype, develop, and deploy intelligent solutions using open-source models and modern infrastructure.

What You'll Do

• Design and build AI-driven features for our domain services platform using Python and Golang.
• Integrate and fine-tune open-source models such as LLaMA 3.2 and similar cutting-edge architectures via tools like Ollama.
• Research, evaluate, and implement emerging AI technologies that align with our vision for smarter, more intuitive products and services.
• Collaborate with internal stakeholders and fellow engineers to rapidly prototype and iterate on machine learning and LLM-based features.
• Contribute to a modern AI development stack, ensuring scalability, performance, and ethical usage of models.
• Actively participate in the open-source ecosystem and bring relevant tools and techniques back to the team.

Key Skills and Experience

• Bachelor degree in software development with strong proficiency in Python; experience with Golang is a plus.
• Solid understanding of modern AI/ML/LLM concepts, particularly around transformer-based architectures and open-source models.
• Hands-on experience with frameworks like Tensorflow, Hugging Face, or similar.
• Experience working with and adapting open-source models (e.g., LLaMA, Mistral, Mixtral, etc.) for production use.
• A working knowledge of neural networks, including their architectures, training methods, and applications.
• A basic understanding of Fuzzy Inference Systems.
• Familiarity with containerization, APIs, and cloud-native tooling.
• A collaborative mindset, strong communication skills, and enthusiasm for innovation. #LI-NA1 #LI-Remote

The base salary range for this position is $74,790 - $3,100. Range shown in CAD for Canadian residents. Other countries will differ. Range may vary on a number of factors including, but not limited to: location, experience and qualifications. Tucows believes in a total rewards offering that includes fair compensation and generous benefits

Want to know more about what we stand for? At Tucows we care about protecting the open Internet, narrowing digital divide, and supporting fairness and equality.

We also know that diversity drives innovation. We are committed to inclusion across race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability status. We celebrate multiple approaches and diverse points of view.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.

Tucows and its subsidiaries participate in the E-verify program for all US employees.

Learn more about Tucows, our businesses, culture and employee benefits on our site here.

Job Description

Job Description

Tucows Domains is the world's largest wholesale domain registrar, responsible for maintaining the health, neutrality, and openness of an important—but largely invisible part of the Internet: the domain name system (DNS).

As part of Tucows—one of the world's largest Internet companies—Tucows Domains has a rich history of helping make the Internet better, operating globally under the Ascio, Enom, Hover and OpenSRS brands.

What's Next at Tucows

We embrace a people-first philosophy that is rooted in respect, trust, and flexibility. We believe that whatever works for our employees is what works best for us. It's also why the majority of our roles are remote-first, meaning you can work from anywhere you can connect to the Internet! Today, over one thousand people from over 20 countries are part of our team.

If this sounds exciting to you, join the herd!

About the Opportunity

We're looking for a passionate Software Engineer specializing in Artificial Intelligence to join our growing team. In this role, you'll help shape and build innovative AI-powered systems that transform how users interact with domain-related tools and services. You'll work both with your team of forward-thinking engineers and with colleagues across business functions to prototype, develop, and deploy intelligent solutions using open-source models and modern infrastructure.

What You'll Do

• Design and build AI-driven features for our domain services platform using Python and Golang.
• Integrate and fine-tune open-source models such as LLaMA 3.2 and similar cutting-edge architectures via tools like Ollama.
• Research, evaluate, and implement emerging AI technologies that align with our vision for smarter, more intuitive products and services.
• Collaborate with internal stakeholders and fellow engineers to rapidly prototype and iterate on machine learning and LLM-based features.
• Contribute to a modern AI development stack, ensuring scalability, performance, and ethical usage of models.
• Actively participate in the open-source ecosystem and bring relevant tools and techniques back to the team.

Key Skills and Experience

• Bachelor degree in software development with strong proficiency in Python; experience with Golang is a plus.
• Solid understanding of modern AI/ML/LLM concepts, particularly around transformer-based architectures and open-source models.
• Hands-on experience with frameworks like Tensorflow, Hugging Face, or similar.
• Experience working with and adapting open-source models (e.g., LLaMA, Mistral, Mixtral, etc.) for production use.
• A working knowledge of neural networks, including their architectures, training methods, and applications.
• A basic understanding of Fuzzy Inference Systems.
• Familiarity with containerization, APIs, and cloud-native tooling.
• A collaborative mindset, strong communication skills, and enthusiasm for innovation. #LI-NA1 #LI-Remote

The base salary range for this position is $74,790 - $3,100. Range shown in CAD for Canadian residents. Other countries will differ. Range may vary on a number of factors including, but not limited to: location, experience and qualifications. Tucows believes in a total rewards offering that includes fair compensation and generous benefits

Want to know more about what we stand for? At Tucows we care about protecting the open Internet, narrowing digital divide, and supporting fairness and equality.

We also know that diversity drives innovation. We are committed to inclusion across race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability status. We celebrate multiple approaches and diverse points of view.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.

Tucows and its subsidiaries participate in the E-verify program for all US employees.

Learn more about Tucows, our businesses, culture and employee benefits on our site here.

Senior Machine Learning Research Engineer - Artificial Intelligence
Location
Toronto
Business Area
Engineering and CTO
Ref #

**Description & Requirements**
Bloomberg's Engineering AI department comprises over 350 AI experts dedicated to building cutting edge, market-leading products. Leveraging advanced technologies including transformers, large language models, and dense vector databases, we are transforming search, discovery, and workflow solutions across the financial industry. As we expand our group, we are seeking highly skilled Machine Learning (ML) and Software Engineers who will contribute innovative solutions to AI-driven customer-facing products.
At Bloomberg, we foster transparency and efficiency in global financial markets. Our technology powers search and discoverability, bringing actionable insights from news, research, financial data, and analytics covering more than 35 million financial instruments. Since 2009, Bloomberg has been at the forefront of applying artificial intelligence to organize the vast volumes of structured and unstructured data that inform critical financial decisions, uncover market signals, and deliver clarity precisely when our clients need it most.
In Toronto, our Machine Learning Engineers are central to advancing Bloomberg's efforts in financial query understanding and code generation. They bridge the gap between pioneering research and practical solutions, developing models to address complex financial queries and automate code writing. They engineer state-of-the-art code generation systems and apply LLM techniques like CoT, SFT or RLHF to drive iterative model refinement.
**Join the AI Group as a Senior ML Research Engineer and you will have the opportunity to:**
+ Collaborate with colleagues on production systems and write, test, and maintain production quality code
+ Design, train, experiment, and evaluate ML models, algorithms and solutions
+ Demonstrate technical leadership by owning cross-team projects
+ Stay current with the latest research in ML and incorporate new findings into our models and methodologies
+ Represent Bloomberg at scientific and industry conference and in open-source communities
+ Publish product and research findings in documentation, whitepapers or publications to leading academic venues
**We are looking for Senior ML Research Engineers with the following experience:**
+ Practical experience with solving Machine Learning problems and techniquesPh.D. in ML, Statistics or a relevant field or MSc in CS, ML, Math, Statistics, Engineering, or related fields and 2+ years of relevant work experience
+ Experience with machine learning and deep learning frameworks
+ Proficiency in software engineering
+ An understanding of Computer Science fundamentals such as data structures and algorithms and a data oriented approach to problem-solving
+ Excellent communication skills and the ability to collaborate with engineering peers as well as non-engineering stakeholders.
+ A track record of authoring publications in top conferences and journals is a strong plus
**If this sounds like you:**
Apply if you think we're a good match! We'll get in touch with you to let you know what the next steps are. In the meantime, check us out at
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email

Machine Learning Team Lead - Artificial Intelligence Group
Location
Toronto
Business Area
Engineering and CTO
Ref #

**Description & Requirements**
Bloomberg is a global leader in business and financial information, delivering trusted data, news, and insights that bring transparency, efficiency, and fairness to markets. The Bloomberg Terminal connects influential communities across the global financial ecosystem via reliable technology that enables our customers to make informed decisions and foster collaboration.
For over a decade, Bloomberg has been a trailblazer in financial applications of AI, machine learning, and natural language processing (NLP). The Artificial Intelligence group is responsible for driving adoption of these technologies at Bloomberg, with over 300 research engineers working collaboratively to provide clients with the best-in-class news, research, market data, and analytics.
The AI group contributes to Bloomberg's flagship products such as news, research, pricing, communications platforms, search and discovery tools. We work on a variety of AI subfields, including NLP, information retrieval, time series analysis, and recommender systems.
We are looking for Machine Learning Team Leads in Toronto, who will guide and support teams of research engineers and software developers working on initiatives in query understanding and code generation. In this capacity, you will provide technical leadership, mentor team members, and manage projects from end-to-end. You will work hand-in-hand with key stakeholders across the business, and partner closely with Product, Data and our broader Code Generation organisation in NYC, to align technical objectives with business needs, drive innovative applications of cutting-edge GenAI techniques, and ensure the successful deployment of state-of-the-art models tailored for financial code generation tasks.
**What's In it for you:**
We are seeking a highly skilled and motivated Machine Learning Engineering Team Lead who will be responsible for leading a team of ML engineers that are driving applied research in ML/NLP and bringing innovative solutions to data-driven customer-facing products. You will lead the development and application of the state-of-the art machine learning models including leveraging cutting-edge NLP techniques such as Large Language Models (LLMs).
You will be collaborating with subject matter experts to gain valuable insights and use their domain expertise to guide building high quality machine learning models. You will closely be working with product owners, our domain experts, data engineers and front-end engineers to build and integrate ML solutions to our product.
**We'll trust you to:**
+ Participate in the development process of ML based financial products as a technical leader
+ Collaborate with colleagues on production machine-learning systems and applications
+ Design, experiment, and evaluate software systems
+ Write, test, and maintain production-quality code
+ Represent Bloomberg at conferences and open-source communities
+ Demonstrate technical leadership by owning cross-team projects
+ Build the libraries and frameworks that support fault tolerant and testable systems
**You'll need to have:**
+ Extensive experience building and deploying Machine Learning models to production
+ Extensive experience in software engineering
+ Previous experience in leadership, managing and coaching globally distributed teams and influencing third party technology strategy
+ A Degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience
+ Ability to effectively communicate, challenge and influence team members, peers, and stakeholders
+ History of successfully delivering on key initiatives and driving long-term strategic technology plans
**We'd love to see:**
+ Demonstrated experience of building a suite of applications with extensibility in mind
+ Previous experience in a team leader capacity
+ An understanding and appreciation for agile development practices
+ Financial domain knowledge and experience (not required)
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email

Job Description
We are seeking a skilled Data Science Consultant for a two-month engagement to build a classification and scoring model in Dataiku, aimed at categorizing free-text medical insight records into quality tiers. The ideal candidate will bring strong expertise in NLP, machine learning, and model deployment, with hands-on experience in Python or R within Dataiku. This role requires someone who can provide strategic guidance, work independently, and deliver impactful results quickly.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: and Requirements
- Proven experience building and deploying classification models, ideally in healthcare or similar domains.
- Hands-on expertise with Dataiku, including scripting in Python or R.
- Strong background in Natural Language Processing (NLP) and working with free-text data.
- Familiarity with traditional machine learning approaches; experience with GenAI is a plus but not required.
- Demonstrated ability to work independently, take initiative, and deliver results in a short time frame.
- Experience maintaining models for long-term use is a bonus.

**Our Purpose**
_Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential._
**Title and Summary**
Vice President, Data Science
Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential.
Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.
Services within Mastercard is responsible for acquiring, engaging, and retaining customers by managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience. We provide value-added services and leverage expertise, data-driven insights, and execution. Do you have a passion for developing products using leading-edge technology that solve for key industry pain points?
Role:
The Vice President will provide strategic leadership and direction, overseeing key business functions to drive growth and innovation. This role involves managing a team of data scientists and analysts in cross-functional teams, ensuring operational excellence, and fostering a culture of collaboration and continuous improvement. The Vice President will develop and implement strategic initiatives, align departmental goals with the organisation's vision, and maintain strong relationships with stakeholders. The ideal candidate will possess exceptional leadership skills, a deep understanding of the industry, and the ability to translate strategic objectives into actionable plans.
You will also lead a team of highly skilled data science analysts in data quality initiatives and tasks in a multi-product environment. You will drive excellence in execution, automation and identify new and novel ways to enhance the overall data quality of our products and business process.
You've been involved in defining AI strategies and aligning those strategies to data, product and business strategies to support and enhance the overall success of those strategies. You will contribute to the overall data strategy for the organization and assist with the strategy to align our data and processes with the AI strategy and lead the incorporation of AI for revenue generation, process optimization and data quality.
All About You:
- Proven ability to develop and execute data science strategies that align with business goals and objectives.
- Deep understanding of data science principles, algorithms, and techniques including supervised and unsupervised learning, deep learning, natural language processing and have extensive knowledge of the low-level details behind these algorithms.
- Recent experience leading GenAI initiatives focused on leveraging the latest capabilities of ChatGPT, Gemini or similar.
- Several years of prior experience as a senior level data scientist developing and deploying machine learning and deep learning solutions end-to-end (data exploration to deployment).
- Skilled in recruiting, mentoring, and managing high-performing teams.
- Passionate about leveraging advanced analytics and machine learning to drive innovation.
- Strong track record of partnering with senior leadership and cross-functional teams.
- Exceptional ability to convey complex technical information to diverse audiences.
- Focused on defining OKR's, KPIs and metrics to measure the impact and effectiveness of product workflows and data science projects.
- Ability to translate data insights into strategic business recommendations.
- Ensures adherence to data governance policies and standards.
- Ability to explain complex algorithms and results to variety of audiences
Experience working:
- Previously as a data scientist with experience in Python, R Programming, ML Frameworks (Scikit learn) and Deep Learning Frameworks (TensorFlow, PyTorch)
- Preferably in the AzureML suite of machine learning technologies or prior experience with either AWS or Google machine learning tools and technologies.
- With the following technologies SQL, SAP HANA, Hadoop, Snowflake, Linux, Azure, Azure Machine Learning, Databricks, Apache Spark (PySpark/Scala)
- With analysts to build reporting and dashboards for business use cases
- With data analysis, statistical analysis and the ability to convey complex analysis to broad audiences
- In a cloud based big data environment and deploying machine learning models at scale
- With source control, production and non-production environments and automated build and deployment
- Ideally you have experience in banking, e-commerce, credit cards or payment processing and exposure to both SaaS and premises-based architectures.
Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.
**Corporate Security Responsibility**
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
+ Abide by Mastercard's security policies and practices;
+ Ensure the confidentiality and integrity of the information being accessed;
+ Report any suspected information security violation or breach, and
+ Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.