Life Science Regulatory Affairs Domain Expert

Expertise in developing cutting-edge machine learning systems is sought after for a pivotal role within our life science regulatory affairs domain. The ideal candidate will possess a strong background in AI / ML development, with experience in designing and deploying scalable microservices.

Key responsibilities include collaborating closely with cross-functional teams to deliver high-quality software, driving code excellence through rigorous unit / integration testing and code reviews, monitoring and optimizing backend systems for enterprise-grade performance, and leading knowledge sharing and documentation for technical solutions.

• Required Skills
• 7+ years building production-grade AIML systems (Python)
• Deep proficiency in LLM frameworks : LangChain, LlamaIndex, custom RAG pipelines
• Strong background with vector databases and semantic search : Pinecone, Weaviate, FAISS, ChromaDB
• Advanced prompt engineering and LLM fine-tuning for regulatory domains
• NLP expertise : document processing, multi-format parsing : PDF, HTML, XML, Word, semantic embeddings
• Familiarity with Hugging Face Transformers : BERTRoBERTa, NER, text classification
• LLM providers : OpenAI GPT-4, Anthropic Claude, Azure OpenAI, Llama, Mistral
• Extensive cloud experience : AWS, Azure, Google Cloud Platform
• Python async frameworks : FastAPI, asyncio, aiohttp; RESTful API design, JSON, OpenAPI / Swagger
• CI / CD tools : GitHub Actions, Jenkins, CodePipeline; containerization : Docker, Kubernetes
• Database skills : PostgreSQL, MySQL, query optimization, indexing, schema design; NoSQL : MongoDB, DynamoDB
• Git version control mastery
• IaC tools : CloudFormation, Terraform

Qualifications

What We Offer