AI Architect - Pharma/Bioinformatics Domain in India, भारत

Job Description :We are looking for a hands-on AI Architect with deep experience in Bioinformatics and Pharma domain applications, capable of designing and delivering production-grade AI systems. This role demands a strong blend of domain expertise, advanced machine learning engineering, and architectural https://jobeax.com/link/kJ8uz9xlHwR21fnJ will be responsible for driving AI initiatives end-to-end-from problem framing and model design to deployment and scaling in regulated environments. The ideal candidate brings practical experience in building AI/ML systems, combined with the ability to architect enterprise-grade solutions leveraging modern frameworks and Large Language Models (LLMs).This is a high-impact role requiring close collaboration with business stakeholders, data scientists, and engineering teams to translate complex bioinformatics and pharma use cases into scalable, compliant AI solutions.10 - 15 yrs Exp |Pharma, Bio Informatics Domain | Immediate/Early joinersRole Requirements :Experience :- 10- 15 years of overall experience in software engineering / data / analytics.- Minimum 2- 3 years of hands-on AI/ML implementation in production https://jobeax.com/link/exTx6ZktcU8n2aya Expertise (Mandatory) :- Proven experience in Bioinformatics, Life Sciences, or Pharma domain.- Exposure to datasets such as clinical, genomic, or molecular data is highly https://jobeax.com/link/3AaznKWzAje8UD7o Skills :- Strong hands-on expertise in PyTorch, TensorFlow, scikit-learnExperience with :- Model training, tuning, and evaluation- Feature engineering and data pipelines- Deployment using APIs / microservicesLLM & Modern AI Exposure :- Practical experience working with GPT, Claude, LLaMA- Understanding of RAG architectures, embeddings, vector databases, and prompt designLeadership & Execution :- Ability to own and deliver AI programs end-to-end- Strong communication skills with ability to engage senior stakeholdersKey Responsibilities :AI Solution Architecture :- Design and implement scalable AI/ML architectures for bioinformatics and pharma use cases such as drug discovery, clinical data analysis, genomics, and real-world evidence.- Define end-to-end pipelines covering data ingestion, feature engineering, model training, evaluation, deployment, and monitoring.End-to-End AI Delivery :- Lead AI initiatives from conceptualization to production deployment, ensuring robustness, scalability, and maintainability.- Build and deploy production-grade models using frameworks like TensorFlow, PyTorch, and https://jobeax.com/link/IekCDUM6XknNl56A & Advanced AI Integration :- Integrate LLMs (e.g., GPT, Claude, LLaMA) into enterprise workflows for use cases such as scientific literature mining, clinical insights extraction, and decision support.- Implement RAG pipelines, prompt engineering, and agent-based workflows where applicable.Domain-Driven AI Implementation :- Apply AI techniques to bioinformatics datasets (genomics, proteomics, clinical data).- Ensure solutions align with pharma domain constraints, including data sensitivity and regulatory https://jobeax.com/link/jd7RJPTFkCOnxWn2 Leadership :- Provide architectural guidance and hands-on mentoring to data scientists and ML engineers.- Establish best practices in MLOps, model versioning, CI/CD, and performance https://jobeax.com/link/QM5Yr3OtabHsXVkf Engagement : - Collaborate with CXOs, domain experts, and business leaders to align AI initiatives with strategic objectives.- Translate business problems into technical solution blueprints. (ref:hirist.tech)