Senior Analyst_Python/AI Engineer

Overview

Work Your Magic with us!

Ready to explore, break barriers, and discover more? We know you’ve got big plans – so do we! Our colleagues across the globe love innovating with science and technology to enrich people’s lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That's why we are always looking for curious minds that see themselves imagining the unimaginable with us.

United As One for Patients, our purpose in Healthcare is to help create, improve and prolong lives. We develop medicines, intelligent devices and innovative technologies in therapeutic areas such as Oncology, Neurology and Fertility. Our teams work together across 6 continents with passion and relentless curiosity in order to help patients at every stage of life. Joining our Healthcare team is becoming part of a diverse, inclusive and flexible working culture, presenting great opportunities for personal development and career advancement across the globe.

Your Role

As a Senior Python & AI Engineer, you will design and develop advanced AI/ML solutions using modern frameworks, cloud infrastructure, and retrieval-augmented generation (RAG) systems. You will lead end-to-end implementation of scalable, production-grade AI applications, contribute to architecture decisions, and drive technical excellence across the team.

Who You Are

Minimum Requirements:

• Education: Bachelor's or Master's degree in Computer Science, Engineering, AI/ML, or a related field.
• Experience: 5-7 years of hands-on experience in Python development.
  
  

• Design, develop, and deploy AI/ML solutions using Python and state-of-the-art NLP technologies.
• Architect and implement Retrieval-Augmented Generation (RAG) systems for intelligent information retrieval and generation.
• Build and manage vector databases (Qdrant, Pinecone, Weaviate, etc.) with scalable indexing, optimization, and deployment strategies.
• Implement document preprocessing, chunking strategies, and metadata management for RAG pipelines.
• Leverage AWS AI/ML services (SageMaker, Bedrock, Kendra, Lambda, etc.) to build intelligent applications.
• Develop robust backend services and APIs using best practices in Python.
• Design secure and scalable cloud-based architectures on AWS.
• Integrate NLP APIs (OpenAI, Hugging Face, spaCy, etc.) for text analytics and understanding.
• Build user interfaces and dashboards using React and Streamlit.
• Collaborate with cross-functional teams to translate business requirements into technical deliverables.
• Mentor junior engineers and ensure adherence to coding and documentation standards.
• Experience with RAG frameworks such as LangChain, LlamaIndex, or Haystack.
• Knowledge of additional AWS AI services (Textract, Comprehend, Translate, OpenSearch, Kendra).
• Familiarity with MLOps practices, CI/CD pipelines (AWS CodePipeline, CodeBuild), and containerization (Docker, Kubernetes).
• Experience with data processing libraries (Pandas, NumPy) and ML frameworks (TensorFlow, PyTorch, scikit-learn).
• Strong understanding of vector database optimization, scaling, and hybrid search techniques.
• Knowledge of graph databases (Neo4j, Amazon Neptune) and knowledge graph integration with RAG systems.
• Experience with cost optimization, A/B testing, and observability tools (CloudWatch, X-Ray, Prometheus).
• Understanding of AWS security best practices, including IAM, KMS, and VPC design.
• Hands-on experience designing and implementing RAG architectures.
• Proficiency with backend databases (PostgreSQL, MySQL, MongoDB, DynamoDB, etc.), including schema design and optimization.
• Experience developing cloud-based solutions using AWS (SageMaker, Bedrock, Lambda, ECS/EKS, Step Functions).
• Practical experience with at least one vector database (Qdrant, Pinecone, Weaviate, Chroma, FAISS, Milvus, or pgvector).
• Hands-on experience integrating Large Language Models (GPT, Claude, Llama, or Titan) within RAG systems.
• Proficiency in working with embedding models (OpenAI, Cohere, Sentence Transformers, or Amazon Titan).
  
  

We are curious minds that come from a broad range of backgrounds, perspectives, and life experiences. We believe that this variety drives excellence and innovation, strengthening our ability to lead in science and technology. We are committed to creating access and opportunities for all to develop and grow at your own pace. Join us in building a culture of inclusion and belonging that impacts millions and empowers everyone to work their magic and champion human progress!

Apply now and become a part of a team that is dedicated to Sparking Discovery and Elevating Humanity!