Datazymes
AI/ML Engineer
TLDR
Develop AI/ML solutions using advanced programming techniques and tools to drive innovations in data analytics for Life Sciences clients, ensuring high quality and rapid delivery.
- 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
DataZymes is a data analytics company focused on the Life Sciences sector, helping organizations leverage their data to derive actionable insights. With a team of expert data scientists and an array of tailored solutions, we enable our clients, particularly in Pharma, to enhance decision-making and improve outcomes in a competitive landscape.
ML Engineer