Senior Consultant, AI Engineer (Life Sciences)

TL;DR

Senior Consultant, AI Engineer (Life Sciences): Designing, developing, and deploying AI solutions tailored to pharmaceutical clients with an accent on AI/ML pipeline implementation, data ingestion, feature engineering, and model development. Focus on building scalable AI services, LLM-based copilots, and implementing GenAI and Agentic AI frameworks for commercial automation.

Location: Hybrid in Bengaluru, Karnataka, India

Company

hirify.global helps life sciences companies optimize commercialization through strategic insight, advanced analytics, and technology, with a mission to improve patient outcomes.

What you will do

• Design and implement AI/ML pipelines for real-world problems in life sciences.
• Collaborate with domain consultants to develop tailored AI solutions for client requirements.
• Lead data ingestion, feature engineering, and model development across various data sources.
• Build and deploy scalable AI services and LLM-based copilots.
• Implement GenAI and Agentic AI frameworks for commercial automation.
• Conduct technical reviews and mentor junior AI team members.

Requirements

• 2+ years of experience in AI/ML engineering.
• Proficient in Python, including libraries like NumPy, pandas, scikit-learn, PyTorch/TensorFlow, LangChain, and Hugging Face.
• Experience building and deploying machine learning models in production.
• Strong understanding of MLOps tools and practices (e.g., MLflow, Docker, Git, CI/CD).
• Exposure to LLMs, transformers, and retrieval-augmented generation (RAG) techniques.
• Experience working with cloud environments (AWS, Azure preferred, Databricks).
• Excellent communication skills to explain complex technical ideas to non-technical stakeholders.
• Bachelor's/Master's in Computer Science, Data Science, Engineering, or a related field.

Culture & Benefits

• Join a highly collaborative, values-driven team focused on technical excellence and personal growth.
• Opportunity to contribute to AI innovation and commercialization strategies in life sciences.
• Make an impact by shaping next-generation data-first solutions.

Hiring process

• AI tools may be used to support parts of the hiring process, such as reviewing applications and assessing responses.
• Final hiring decisions are made by human judgment.