AI/ML Engineer

AI overview

Develop innovative AI/ML models using Python and state-of-the-art technologies while supporting life sciences clients with impactful data analytics solutions.

3+ years of work experience in Python programming for AI/ML, deep learning, and Generative AI model development
Proficiency in TensorFlow/PyTorch, Hugging Face Transformers and Langchain libraries
Hands-on experience with NLP, LLM prompt design and fine-tuning, embeddings, vector databases and agentic frameworks
Strong understanding of ML algorithms, probability and optimization techniques
6+ years of experience in deploying models with Docker, Kubernetes, and cloud services (AWS Bedrock, SageMaker, GCP Vertex AI) through APIs, and using MLOps and CI/CD pipelines
Familiarity with retrieval-augmented generation (RAG), cache-augmented generation (CAG), retrieval-integrated generation (RIG), low-rank adaptation (LoRA) fine-tuning
Ability to write scalable, production-ready ML code and optimized model inference
Experience with developing ML pipelines for text classification, summarization and chat agents
Prior experience with SQL and noSQL databases, and Snowflake/Databricks