Senior Data Science Consultant (AI)

TL;DR

Senior Data Science Consultant (AI): Designing, developing, and deploying AI solutions tailored to pharmaceutical clients with an accent on AI/ML pipeline implementation, data ingestion, and scalable AI service deployment. Focus on translating complex life sciences challenges into AI-driven innovations and implementing GenAI/Agentic AI frameworks for commercial automation.

Location: Hybrid (Bengaluru, Karnataka)

Company

hirify.global helps life sciences companies optimize their commercialization through strategic insight, advanced analytics, and technology, deploying proprietary and third-party solutions.

What you will do

• Design and implement AI/ML pipelines to solve real-world problems in life sciences.
• Collaborate with domain consultants to understand client requirements and develop tailored AI solutions.
• 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.
• Present technical concepts and outcomes to internal stakeholders and client teams.

Requirements

• 8+ years of experience in AI/ML engineering, with at least 1-2 years in a client-facing or consulting role.
• Proficient in Python (NumPy, pandas, scikit-learn, PyTorch/TensorFlow, LangChain, 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 with the ability 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.
• Focus on technical excellence, analytical rigor, and personal growth.
• Opportunity to make an impact in AI innovation and life sciences.