Job Description:

Role Overview

• We 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 Responsibilities
GenAI & Model Development

• Design 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 Engineering

• Build 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 Required
AI/ML Frameworks & Libraries

• Core 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 & Math

• Machine 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 & Infrastructure

• Deployment: Experience with MLflow, Kubeflow, or Triton Inference Server.
• Cloud & Compute: Proficiency with AWS (SageMaker), Azure (Azure AI), or GCP (Vertex AI), alongside GPU acceleration (CUDA).

Experience & Qualifications

• Experience: 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: 90,909 to 100,000

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 Leave

• Medical, 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 insurance
• Employee assistance programs
• Other benefits as provided by local policy and eligibility