GEN AI Specialist

Capgemini; New York (NY); On-site; USD 41,000 - 63,000; Full time

Job summary

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

You will deploy GenAI using LLMs and diffusion models, apply prompt engineering and RAG, and build scalable data pipelines.

Qualifications

• Requires 8+ years in data science or AI engineering with 2+ years in Generative AI.
• Master’s degree in CS, data science, math, or related quantitative field.
• Experience deploying GenAI models into enterprise software and optimizing frameworks.

Responsibilities

• Design and deploy GenAI solutions using LLMs and diffusion models.
• Implement prompt engineering, fine-tuning, and RAG to improve results.
• Develop predictive models using traditional ML and deep learning methods.
• Build scalable data preprocessing and model training pipelines.
• Optimize AI frameworks to reduce latency and compute costs and enable production integration.

Skills

PyTorch

TensorFlow

JAX

Hugging Face

LangChain

LlamaIndex

vLLM

Python

Vector Databases

MLflow

Kubeflow

CUDA

SageMaker

Vertex AI

Education

Master’s in Computer Science, Data Science, Mathematics, or related field

Tools

MLflow

Kubeflow

Triton Inference Server

CUDA Toolkit

SageMaker

Job description

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

• 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.
• 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 pay range that the employer in good faith reasonably expects to pay for this position is $30.05/hour - $46.95/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.

Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.