Senior GenAI Engineer/Lead

Capgemini; Montreal (administrative region); Hybrid; CAD 79,000 - 105,000; Full time

Job summary

Capgemini is seeking a GenAI & AI/ML Framework Specialist in Canada to design, build, and scale next-generation AI solutions. You will develop advanced ML algorithms, optimize open-source frameworks, and implement Generative AI architectures into enterprise applications.

Role requires 8+ years in data science or AI engineering with 2+ years in Generative AI and a Master’s in a quantitative field. Hybrid work in Montreal and strong collaboration across teams is expected.

Qualifications

• 8+ years in data science or AI engineering with 2+ years in Generative AI.
• Master’s degree in a quantitative field or equivalent.
• Deep knowledge of ML/DL algorithms and AI frameworks.

Responsibilities

• Design and deploy Generative AI solutions using LLMs and diffusion models.
• Develop scalable data pipelines and optimize AI frameworks for speed and cost.
• Integrate AI models into production architectures and enterprise workflows.

Skills

GenAI

AI/ML

Python

PyTorch

TensorFlow

JAX

Reinforcement learning

LLMs

RAG

Prompt engineering

Model deployment

Data preprocessing

Vector databases

Education

Master's in CS/Data Science/Math

Tools

Hugging Face

LangChain

LlamaIndex

vLLM

SQL/NoSQL

Vector DBs: ChromaDB/Pinecone/Milvus

AWS SageMaker

Azure AI

GCP Vertex AI

Job description

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.Role OverviewWe are seeking a GenAI & AI/ML Framework Specialist to design, build, and scale next-generation artificial intelligence solutions.You will develop advanced machine learning algorithms, optimize open-source frameworks, and implement Generative AI architectures into enterprise applications.Key ResponsibilitiesGenAI & Model DevelopmentDesign and deploy Generative AI solutions using Large Language Models (LLMs) and diffusion models.Implement optimization techniques including prompt engineering, fine-tuning, and Retrieval-Augmented Generation (RAG).Develop predictive models by selecting, training, and tuning traditional machine learning and deep learning algorithms.Framework & Pipeline EngineeringBuild scalable pipelines for data preprocessing, feature engineering, and model training.Optimize AI frameworks to improve inference speed, reduce latency, and lower compute costs.Integrate AI models seamlessly into production software architectures and enterprise workflows.Technical Skills RequiredAI/ML Frameworks & LibrariesCore Frameworks: Deep expertise in PyTorch, TensorFlow, or JAX.GenAI Ecosystem: Hands-on experience with Hugging Face, LangChain, LlamaIndex, and vLLM.Core Languages: Mastery of Python for performance tuning.Algorithms & MathMachine Learning: Deep understanding of regression, clustering, decision trees, and ensemble methods.Deep Learning: Strong grasp of Transformers, CNNs, RNNs, and reinforcement learning (RLHF).Data Infrastructure: Experience with Vector Databases (ChromaDB, Pinecone, Milvus) and SQL/NoSQL.MLOps & InfrastructureDeployment: Experience with ML flow, Kubeflow, or Triton Inference Server.Cloud & Compute: Proficiency with AWS (SageMaker), Azure (Azure AI), or GCP (Vertex AI), alongside GPU acceleration (CUDA).Experience & QualificationsExperience: 8 years in data science or AI engineering, with 2+ years dedicated to Generative AI.Education: Master's in Computer Science, Data Science, Mathematics, or a related quantitative field.The base compensation range for this role in the posted location is: 79,000 to 105,000.Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.It is not typical for candidates to be hired at or near the top of the posted compensation range.In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick LeaveMedical, dental, and vision coverage (or provincial healthcare coordination in Canada)Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)Life and disability insuranceEmployee assistance programsOther benefits as provided by local policy and eligibilityImportant Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.DisclaimersCapgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.