50 AI Fellow jobs in Canada
Director, AI Research / Directeur/Directrice de la recherche en IA
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Job Description: Salary: DIRECTOR, AI RESEARCH La version franaise suit. This is a hybrid position based out of the CIFAR office located in the MaRs Discovery building. Staff are required to be in the office three days a week, ensuring a balance of in-person collaboration and flexibility. About CIFAR: The Canadian Institute for Advanced Research (CIFAR) is a globally influential research organization proudly based in Canada. We mobilize the worlds most brilliant people across disciplines and at all career stages to advance transformative knowledge and solve humanitys biggest problems, together. For more information, please visitour website. Purpose of the Position: The Director, AI Research, supports the Executive Director, Pan-Canadian AI Strategy (PCAIS), by providing intellectual leadership, vision, and strategic management of PCAIS. The Director leads the Canada CIFAR AI (CCAI) Chairs Program, Next Generation AI Training Programs, and AI & Society Program, while also serving as a member of CIFARs senior management team for cross-institute initiatives and priorities. In partnership with the Executive Director, the Director contributes to the development and management of the Pan-Canadian AI Strategy, including research and training programs, financial oversight of PCAIS funding, departmental operations, evaluation activities, and new cross-institute initiatives. Responsibilities:Advance the Canada CIFAR AI Chairs Program by supporting the International Scientific Advisory Committee in nominations, reviews, and scientific oversight, and assist the National Programs Committee in advising on national and collaborative AI programs, training, and funding.Participate as a member of CIFARs senior management team, contributing to the institutes strategic direction and cross-institute initiatives.Serve as a senior representative of CIFAR, cultivating partnerships, leading initiatives, and engaging in outward-facing and public meetings.Contribute to strategic and corporate planning, including evaluation frameworks, board materials, and other institutional initiatives that support CIFARs mission and priorities.Develop and maintain governance and advisory mechanisms for AI-related programs while providing guidance to ensure the success and accountability of research and training initiatives.Build and maintain strong relationships with AI Institute leadership, PCAIS governance committees, and CCAI Chairs through formal and informal interactions.Support the development of new program components and cross-program activities, including adjudication and evaluation mechanisms, in collaboration with program directors, advisory committees, and the ED.Oversee program operations and evaluation, including 5-year assessments, distribution of collaborative funds, and the development of policies and practices guiding PCAIS program administration and adjudication.Collaborate across CIFAR teams, working with Research on cross-program initiatives (e.g., Strategy 2024), with Advancement and Government Relations to cultivate donor and sponsor relationships, and with Finance to manage budgets in consultation with the ED.Engage with government and funders, providing program updates, reporting on performance metrics, and ensuring accountability for PCAIS programs and outcomes. Occasional travel for meetings, including approximately 5 events per year lasting 24 days, which may include some weekends. Qualifications: Education/Experience required:PhD in natural or physical sciences.510 years of relevant work experience post-MSc/PhD, in academia or related sectors. Core Professional/Technical Knowledge & Skills required for the position:Strategic vision and leadership, with the ability to evaluate and implement programs that advance research excellence.Deep knowledge of research principles, best practices, and CIFARs mandate, with awareness of the broader research landscape.Strong project management, financial, HR, and administrative skills, complemented by an established record of academic research. Apply: Qualified applicants are invited to apply by September 7, 2025, at 11:59pm EST. We appreciate your interest in this opportunity, however, only those selected for an interview will be contacted via email. CIFAR is committed to equity, diversity and inclusion. We recognize that bringing together individuals from multiple backgrounds, perspectives and experiences is integral to advancing excellence and increasing the impact of our organization. Our leadership, staff and volunteers strive to create an equitable, diverse and inclusive workplace and, in turn, an environment that will give our diverse global community of researchers the support to successfully address the most important questions facing science and humanity. Ensuring that every person feels valued and welcome, regardless of age, education, sexual orientation, gender expression and identity, parental status/responsibility, immigration status, Indigenous status, religion, disability, language, race, place of origin, ethnicity, culture, socio-economic status, and other attributes is vital to achieving our mission. We strongly encourage applications from members of our society who face systemic barriers and biases, including, but not limited to, women, Indigenous persons, members of visible minority/racialized communities, 2SLGBTQ+ persons, members of marginalized gender identity communities, and persons with disabilities. Applicants may confidentially self-identify at the time of application. ACCESSIBILITY FOR APPLICANTS WITH DISABILITIES - CIFAR is committed to providing accommodations throughout the recruitment and selection process to applicants with disabilities, in accordance with the Accessibility for Ontarians with Disabilities Act, 2005, and the Ontario Human Rights Code. To request a reasonable accommodation, please email and include the term Accessibility in the Subject Line, or call . Please provide your name, preferred contact method, and a detailed description of the nature of any accommodation that you may require. Please include any materials or processes that may be used to ensure your equal participation. CIFAR frequently communicates in both official languages and our preference is to hire employees who are fluent in both English and French where possible. Other languages are also considered an asset. For a French version of the job posting, please visit CIFAR is supported by the governments of Canada, Alberta, British Columbia, Ontario, and Quebec as well as international partner organizations, individuals, foundations, and corporations. DIRECTRICE OU DIRECTEUR DE LA RECHERCHE EN IA English version above Il s'agit d'un poste hybride bas dans le bureau du CIFAR situ dans le btiment MaRs Discovery. Le personnel doit tre prsent au bureau trois jours par semaine, garantissant un quilibre entre collaboration en personne et flexibilit. propos du CIFAR: LInstitut canadien de recherches avances (CIFAR) est un organisme de recherche dinfluence mondiale firement tabli au Canada. Nous mobilisons les personnes les plus brillantes du monde, dans toutes les disciplines et tous les stades de leur carrire, pour faire progresser les connaissances transformatrices et rsoudre, ensemble, les plus grands problmes de lhumanit. Pour de plus amples renseignements, veuillez visiter notre site Web. Raison dtre de ce poste: La directrice ou le directeur de la recherche en IA seconde la directrice gnrale de la Stratgie pancanadienne en matire dIA en mettant contribution son leadership intellectuel, sa vision et sa capacit de gestion stratgique. La ou le titulaire du poste dirige le programme de chaires en IA Canada-CIFAR ainsi que les programmes de formation de la relve en IA et le programme IA et socit, en plus de contribuer, en tant que membre de la haute direction du CIFAR, aux initiatives et aux priorits transversales. De concert avec la directrice gnrale, la ou le titulaire du poste contribue au dveloppement et la gestion de la Stratgie pancanadienne en matire dIA, notamment en ce qui concerne les programmes de recherche et de formation, la gestion des fonds allous la Stratgie, les activits internes, les travaux dvaluation et les nouvelles initiatives de collaboration entre les instituts dIA. Responsabilits :Contribuer lavancement du programme de chaires en IA Canada-CIFAR en appuyant le comit consultatif scientifique international dans les processus de nomination, dexamen et de supervision scientifique, et en aidant le comit des programmes nationaux formuler des recommandations sur les programmes canadiens et collaboratifs en IA, la formation et le financement;Participer, en tant que membre de la direction du CIFAR, lorientation stratgique de lInstitut et aux initiatives transversales;Agir comme reprsentante ou reprsentant principal du CIFAR en tablissant des partenariats, en menant des initiatives et en prenant part des rencontres publiques et des mandats de reprsentation;Contribuer la planification stratgique et organisationnelle, notamment en ce qui a trait aux cadres dvaluation, aux documents destins au conseil dadministration et aux autres initiatives institutionnelles menes en appui la mission et aux priorits du CIFAR;Mettre en place et tenir jour des mcanismes de gouvernance et de consultation pour les programmes en IA tout en fournissant des orientations afin dassurer le succs et la transparence des initiatives de recherche et de formation;tablir et entretenir des relations solides avec la direction des instituts dIA, les comits de gouvernance de la Stratgie pancanadienne en matire dIA et les titulaires de chaires, tant dans des contextes officiels quinformels;Soutenir llaboration des nouveaux volets du programme et des activits interprogrammes, en contribuant notamment aux mcanismes dvaluation et de dcision, en collaboration avec les directions de programmes, les comits consultatifs et la direction gnrale;Superviser le fonctionnement et lvaluation des programmes, notamment les valuations quinquennales, lattribution des fonds collaboratifs ainsi que llaboration de politiques et de pratiques encadrant ladministration et lvaluation des programmes de la Stratgie pancanadienne en matire dIA;Collaborer avec les quipes du CIFAR, que ce soit avec lquipe de recherche sur les initiatives interprogrammes (p. ex., Stratgie2024), avec lquipe du dveloppement et des relations gouvernementales pour entretenir les liens avec les donateurs, les donatrices et commanditaires, ou avec lquipe des finances pour grer les budgets en concertation avec la direction gnrale;Maintenir le dialogue avec le gouvernement et les organismes de financement en faisant le point sur lavancement des programmes, en rendant compte des indicateurs de performance et en assurant la transparence des programmes et des rsultats de la Stratgie pancanadienne en matire dIA;Se dplacer loccasion pour participer des rencontres (environ cinqrencontres par an dune dure de deux quatrejours sont prvoir, dont certaines peuvent avoir lieu le week-end). Qualits: Formation et exprience requises :Doctorat en sciences de la nature ou en sciences physiques;De 5 10annes dexprience de travail pertinente (postrieures lobtention du diplme de matrise ou de doctorat) dans le milieu universitaire ou dans un domaine connexe. Connaissances et comptences professionnelles ou techniques de base:Vision stratgique et qualits de leadership, doubles dune capacit valuer et mettre en uvre des programmes destins promouvoir lexcellence en recherche;Connaissance approfondie des principes de recherche, des pratiques exemplaires et du mandat du CIFAR, assortie dune comprhension du contexte largi de la recherche;Solides comptences en gestion de projets, en finances, en ressources humaines et en administration, attestes par des ralisations reconnues en recherche universitaire. Postulez: Les personnes qualifies sont invites soumettre leur candidature dici le 7 septembre 2025 11:59pm EST. Nous vous remercions de votre intrt pour ce poste et communiquerons par courriel uniquement avec les personnes slectionnes pour une entrevue. Le CIFAR accorde une grande importance lquit, la diversit et linclusion. Nous reconnaissons quil est essentiel de runir des personnes dorigines, de perspectives et dexpriences diverses si nous voulons faire progresser lexcellence et accrotre les retombes de notre organisation. Les membres de la direction, le personnel et nos bnvoles sefforcent de crer un milieu de travail quitable, diversifi et inclusif; en retour, ce milieu donnera notre communaut mondiale de recherche le soutien qui lui permettra de se pencher avec succs sur les questions les plus importantes auxquelles la science et lhumanit sont confrontes. Pour mener bien notre mission, il est essentiel que chaque personne se sente valorise et accueillie, peu importe son ge, son niveau de scolarit, son orientation sexuelle, son expression et son identit de genre, son statut ou sa responsabilit parentale, son statut dimmigrant ou dAutochtone, sa religion, son handicap, sa langue, sa race, son lieu dorigine, son ethnicit, sa culture, son statut socio-conomique ou toute autre caractristique. Nous encourageons vivement les membres de la socit qui sont confronts des obstacles et des prjugs systmiques prsenter leur candidature, y compris, mais sans sy limiter, les femmes, les membres des Premires Nations, les membres de minorits visibles ou racises, les personnes LGBTQ2S+, les membres de communauts didentit de genre marginalise et les personnes handicapes. Les candidates et candidats peuvent sidentifier de manire confidentielle au moment de la prsentation de leur candidature. ACCESSIBILIT POUR LES CANDIDATES ET CANDIDATS PRSENTANT DES HANDICAPS Le CIFAR sengage offrir un accommodement raisonnable aux personnes prsentant des handicaps pendant les processus dembauche et de slection, conformment la Loi sur laccessibilit pour les personnes handicapes de lOntario, 2005, et au Code des droits de la personne de lOntario. Pour faire une demande de mesure raisonnable dadaptation, veuillez crire ladresse et mettre en objet Accessibilit ou appelez au . Veuillez fournir votre nom, le moyen de communication que vous prfrez, ainsi quune description dtaille de la nature des mesures dadaptation dont vous pourriez avoir besoin. Veuillez mentionner tout matriel ou processus susceptible dtre utilis pour garantir votre galit daccs lemploi. Le CIFAR communique frquemment dans les deux langues officielles et dsire embaucher des employs qui matrisent la langue franaise et la langue anglaise, autant que possible. La connaissance dautres langues est galement considre comme un atout. Le CIFAR reoit le gnreux soutien des gouvernements du Canada, du Qubec, de lAlberta, de la Colombie-Britannique et de lOntario, de partenaires canadiens et trangers, ainsi que de donateurs individuels, de fondations et dentreprises.
Machine Learning Engineer
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Job Description
Our client is looking for a highly skilled Machine Learning Engineer to join their growing team in Mississauga. This role is ideal for a technically strong and experienced ML professional who thrives in a fast-paced, collaborative environment and is passionate about delivering scalable machine learning solutions on distributed systems such as Hadoop.
Key Responsibilities:
- Design, develop, and implement machine learning models using Spark ML for predictive analytics
- Build and optimize end-to-end training and inference pipelines on distributed platforms
- Process and analyze large datasets to uncover insights and engineer effective features
- Work closely with data engineers to integrate ML models into existing data pipelines
- Fine-tune models and hyperparameters to maximize performance and accuracy
- Develop scalable solutions for both real-time and batch inference
- Continuously monitor deployed models and address any performance issues
- Keep up-to-date with the latest tools, frameworks, and best practices in machine learning and distributed computing
Required Qualifications:
- 10+ years of experience as a Machine Learning Engineer or similar role
- Expertise in Apache Spark and Spark MLlib
- Solid understanding of predictive modeling techniques (e.g., regression, classification, clustering)
- Hands-on experience with distributed systems such as Hadoop
- Proficiency in Python, Scala, or Java
- Strong grasp of data preprocessing and feature engineering methodologies
- Familiarity with model evaluation metrics and production deployment practices
- In-depth knowledge of distributed computing and parallel processing principles
Machine Learning Engineer
Posted 1 day ago
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Job Description
Qorsa Corp is a Canadian technology company pioneering quantum-proof AI solutions for governments, enterprises, and institutions. We build and integrate advanced machine learning with cryptographically agile systems built for the post-quantum era to help our clients better understand and protect their data.
As a Machine Learning engineer, you’ll work on data ingestion and processing using various Natural Language Processing (NLP) tools. You will also work on building AI agents, fine-tuning LLMs, and building chatbots.
Key responsibilities include:
Design, build, and maintain AI Agents using Langchain and other similar tools.
Fine-tune and test LLMs on various verticals explored by Qorsa.
Develop and deploy applications using Docker and Kubernetes.
Improve on our existing technologies including data processing, natural language pipelines, and building knowledge graphs
Qorsa Corp is a Canadian technology company pioneering quantum-proof AI solutions for governments, enterprises, and institutions. We build and integrate advanced machine learning with cryptographically agile systems built for the post-quantum era to help our clients better understand and protect their data.
Company DescriptionQorsa Corp is a Canadian technology company pioneering quantum-proof AI solutions for governments, enterprises, and institutions. We build and integrate advanced machine learning with cryptographically agile systems built for the post-quantum era to help our clients better understand and protect their data.
Machine Learning Engineer
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Job Description
Who We Are:
Muniworth is an innovative SaaS startup dedicated to municipal financial forecasting, empowering local governments to optimize budgeting and strategic financial planning. We are currently building an advanced Machine Learning and AI team to develop internal tooling, enhance our web applications, and create customized solutions for our municipal clients. If you're passionate about leveraging machine learning to drive impactful real-world solutions, Muniworth is the ideal place for you.
Who You Are:
You're an experienced Machine Learning Engineer excited by the prospect of working closely with a talented ML and AI team, under the guidance of our brilliant Lead ML Engineer. You thrive in environments with varied, challenging projects ranging from classic supervised and unsupervised ML tasks to advanced NLP, LLM, and RAG implementations. You're highly proficient with ML frameworks and libraries and ML Ops tools, and love finding innovative ways to apply ML and AI in solving complex problems.
What You'll Do:
- Design, build, and deploy robust machine learning pipelines and model serving infrastructure, ensuring reliable ML workflows from training to production.
- Write clean, maintainable code following software engineering best practices - while this isn't a senior engineering role, candidates should have demonstrated competency in creating readable, well-structured solutions that support collaborative development.
- Collaborate closely with our Lead ML Engineer and ML/AI team on projects spanning classical ML techniques, including feature engineering, dimensionality reduction, clustering, and classification, as well as NLP, Large Language Models, and RAG.
- Optimize model performance and scalability, leveraging your expertise in ML frameworks, model optimization, and distributed computing systems.
- Develop internal ML tools and customized AI-driven solutions for municipal clients, significantly influencing our product direction and company strategy through advanced analytics and predictive modelling.
- Own and manage specific ML-focused projects, balancing responsibilities between model maintenance, performance monitoring, and research into new ML approaches and techniques.
Requirements
What You Bring:
- 3+ years of industry experience in machine learning engineering.
- Proficiency using PyTorch/TensorFlow for implementing custom neural networks and training processes.
- Demonstrated experience writing clean, maintainable code with attention to software engineering best practices.
- Experience using transformer libraries (e.g. Hugging Face) for text classification.
- Experience utilizing traditional ML algorithms creatively to solve complex classification tasks.
- Experience using MLflow or similar for experiment tracking and model registry
- Familiarity using Docker for containerization and orchestration
- Familiarity using Apache airflow for pipeline automation
- Familiarity using Fast API/Flask for model serving APIs
- Familiarity with GitHub Actions for CI/CD
- Exposure to using Redis and Elasticsearch for caching and search
- A master’s degree in computer science, mathematics, statistics, or a related field—or significant practical experience demonstrating equivalent expertise beyond an undergraduate level.
- Excellent problem-solving abilities and strong communication skills, with the capability to articulate complex technical concepts clearly.
- Enthusiasm for innovation, adaptability, and actively contributing to team objectives beyond traditional role boundaries
Benefits
Why Join Muniworth:
- Competitive salary and comprehensive health and dental benefits.
- Flexible working hours (40 hours/week), tailored to your preferred schedule.
- Collaborative, intellectually stimulating environment emphasizing mathematics, innovation, and technical excellence.
- Modern, welcoming office located centrally in downtown Victoria, BC—100% in-person role.
- Regular team-building events and optional social activities.
- Directly influence critical municipal financial infrastructure, making a tangible impact on communities and local governments.
- For an ideal candidate with exceptional experience, we are open to offering compensation beyond the listed salary range.
Hiring Process:
We're actively hiring and eager to onboard exceptional talent as soon as possible. If you're excited by the intersection of data engineering and machine learning, thrive in a dynamic startup environment, and are motivated by meaningful work that impacts municipal governance, we'd love to connect with you. Please include a link to your public GitHub repository!
Machine Learning Engineer
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Job Description
Salary: $100,000-$25,000+ yearly salary + benefits (See below for more details)
About us:
Spring Financial is revolutionizing financial access for Canadians, providing smart credit-building, mortgage, and lending solutions. Millions struggle with high-interest debt and limited financial optionswere here to change that.
As one of Canadas fastest-growing fintech companies, annually we help 1 million customers explore their financing options with easeonline, via text, or over the phone. Our dynamic, innovative team thrives on collaboration, growth, and making a real impact.
To learn more about our products please visit our website here:
NOTE: This is a full-time, permanent, hybrid position in downtown Vancouver, with 3 set days in the office and 2 WFH.
Job Overview:
As a Machine Learning Engineer II, you independently design, build, and maintain machine learning systems that deliver impact for our customers and business. You are responsible for deploying reliable, scalable solutions from credit scoring models to intelligent automation and LLM-powered features. You work across the stack to connect ML systems with real user value.
You own end-to-end workflows: from data ingestion and transformation to model training, validation, and online inference. You actively contribute to model quality, observability, and performance optimization. You also help standardize development practices, CI/CD, and deployment tooling for ML systems.
You are expected to integrate modern AI techniques including LLM APIs, embeddings, and generative workflows where appropriate, and help evaluate how they can enhance products and operations. You use AI development tools to accelerate delivery and improve testing and debugging. You also build and maintain automated data pipelines and model services, working across real-time and batch systems.
You work closely with product managers, data scientists, and business stakeholders to clarify problems, evaluate feasibility, and align technical solutions with strategic outcomes. You are a key contributor to the evolution of Springs ML platform and culture.
What youll do:
- Own development of production-grade ML and AI systems from data to deployment.
- Build automated pipelines for training, feature engineering, and model serving.
- Use AI tools to improve development speed and integrate AI capabilities (e.g. LLMs) into products.
- Optimize systems for performance, latency, and cost.
- Collaborate with cross-functional stakeholders to scope projects and communicate results.
- Monitor, retrain, and improve models based on feedback and system metrics.
What You Should Already Have:
- Experience deploying machine learning models into production systems.
- Proficiency in Python and tools such as scikit-learn, TensorFlow, PyTorch, or HuggingFace.
- Strong understanding of model lifecycle, MLOps, and data pipeline design.
- Skills in inference optimization.
- Ability to collaborate with data, product, and business teams on impactful ML features.
- Experience with testing, monitoring, and CI/CD for ML systems.
- Know-hows on cost/benefit analysis for different ML solutions, e.g. Lambda vs. Sagemaker Inference, OpenAI vs. xAI API.
- Comfortable working with AI technologies (LLMs, embeddings, etc.) in applied settings.
What We Will Give You:
- Competitive annual salary ranging from 100,000 to 125,000+ , reflective of experience and impact.
- Comprehensive benefits package, including extended health, dental, and vision coverage with 100% of monthly premiums covered by the Spring.
- GRSP matching program to support your long-term financial goals.
- Transit-Friendly Employer (Transit allowance).
- A modern, collaborative workspace in the heart of downtown Vancouver.
- Ongoing career growth opportunities and the chance to help shape Spring Financials technology strategy and team culture.
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Please note : Upon applying, our Talent Acquisition team will review your resume. If you qualify, we will reach out to learn more about your experience and answer any questions you may have about the role, benefits, compensation, and more. Due to high application volume, we may not be able to respond to everyone.
Thank you for your interest! We appreciate your time and look forward to reviewing your application!
Researcher - Machine Learning
Posted 3 days ago
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Huawei Canada has an immediate 12-month contract opening for a Researcher.
About the team:
The Software-Hardware System Optimization Lab continuously improves the power efficiency and performance of smartphone products through software-hardware systems optimization and architecture innovation. We keep tracking the trends of cutting-edge technologies, building the competitive strength of mobile AI, graphics, multimedia, and software architecture for mobile phone products.
About the job:
Work on machine learning research, in particular for continual learning and their application in large language models (LLMs).
Evaluate algorithms on general ML benchmarks or large foundation models such as LLMs.
Keeping up-to-date on recent advances in related fields.
Researcher - Machine Learning
Posted 27 days ago
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Huawei Canada has an immediate 12-month contract opening for a Researcher.
About the team:
Founded in 2012, the Noah’s Ark lab has evolved into a prominent research organization with notable achievements in academia and industry. The lab’s mission focuses on advancing artificial intelligence and related fields to benefit the company and society. Driven by impactful, long-term projects, the aim is to enhance state-of-the-art research while integrating innovations into the company's products and services, including LLMs, RL, NLP, computer vision, AI theory, and Autonomous driving.
About the job:
Participate in the innovative LLMs reasoning and LLMs empowered AI agent research project;
Implement algorithms for proposed models and applications, deploy into internal product;
Work closely with researchers in the team;
Keeping up-to-date on selected areas of ML and writing scientific reports;
Provide insight report on the latest literature work.
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Senior Machine Learning Research Engineer - Acceleration of AI models
Posted 10 days ago
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Huawei Canada has an immediate permanent opening for a Senior Research Engineer.
About the team:
The Computing Data Application Acceleration Lab aims to create a leading global data analytics platform organized into three specialized teams using innovative programming technologies. This team focuses on full-stack innovations, including software-hardware co-design and optimizing data efficiency at both the storage and runtime layers. This team also develops next-generation GPU architecture for gaming, cloud rendering, VR/AR, and Metaverse applications.
One of the goals of this lab are to enhance algorithm performance and training efficiency across industries, fostering long-term competitiveness.
About the job:
Track the trend of AI theory and technology development in the world and generate research report and proposals for promoting Ascend system accordingly.
Lead or participate in research of algorithms in accelerating the training of the market-driven AI models (CV/NLP/GNN/…), reaching/exceeding the state of the art accuracy, and develop a proof of concept of the algorithms. Those algorithms include but are not limited to the following: optimizers, loss functions, new model architecture, mix precision, model compression, learning technologies (e.g., meta-learning), etc.
Publish relevant high-quality AI research papers when necessary and approved, and attend conferences for increasing public awareness of Huawei’s Ascend products; file high-value patents on critical algorithms/processes that are of potential business gain.
Team up with other departments/teams from Huawei’s global research centers for collaboration.
Assist the team lead on the planning of projects and definition of technology/products development road map.