Technical Lead

Job Description

Role & responsibilities This role requires a blend of strategic vision, deep technical expertise, and leadership to architect and deploy cutting-edge AI/ML solutions that seamlessly integrate into enterprise systems. You will lead complex R&D efforts, ensure alignment with business objectives, and foster a culture of continuous innovation while upholding ethical AI principles and compliance standards. Key Responsibilities Strategic AI Leadership & Innovation Define and execute the AI/ML strategy, aligning with organizational goals and business needs. Drive research and development in NLP, deep learning, reinforcement learning, generative AI, and multimodal AI applications. Stay at the forefront of AI advancements, evaluating emerging technologies and methodologies to enhance capabilities. Technical Architecture & AI Model Development Architect and deploy scalable AI/ML models, including large language models (LLMs) and transformer-based architectures. Implement MLOps best practices for CI/CD, automated model retraining, and lifecycle management. Develop advanced AI solutions such as retrieval-augmented generation (RAG) and fine-tuning techniques (LoRA, PEFT). Optimize AI/ML pipelines for distributed computing, leveraging cloud platforms and accelerators (GPUs/TPUs). Cross-Functional Collaboration & Integration Work closely with data engineers, software developers, and product managers to integrate AI into production systems. Translate complex AI concepts into actionable insights for business stakeholders. Establish governance frameworks for ethical AI, ensuring compliance with industry standards. Team Development & Technical Mentorship Guide and mentor AI engineers, fostering a high-performing and collaborative environment. Lead AI-driven innovation within the organization, driving technical excellence and best practices. Required Qualifications - Bachelor's, masters in computer science, AI, ML, data science, or related fields. - 9+ years of AI/ML experience, including 3+ years in a leadership or senior technical role. - Expertise in Python (NumPy, Pandas, scikit-learn) and proficiency in Java, Scala, or similar languages. - Deep understanding of deep learning frameworks (TensorFlow, PyTorch, JAX) and NLP libraries (Hugging Face Transformers). - Hands-on experience with MLOps, including containerization (Docker, Kubernetes), CI/CD, and model monitoring. - Well versed with Agentic AI. - Deep understanding on Langchain ecosystem. - Experience with distributed computing (Apache Spark, Ray) and large-scale dataset processing. - Proficiency in vector databases (FAISS, ChromaDB, Pinecone) for efficient similarity search. - Strong expertise in fine-tuning transformer models, hyperparameter optimization, and reinforcement learning. - Experience deploying AI solutions on AWS and Azure with hardware optimization for GPUs and TPUs. - Strong analytical, problem-solving, and communication skills to bridge technical and business perspectives. Preferred Qualifications - Experience in regulated industries such as healthcare and biopharma. - Contributions to AI research, open-source projects, or top-tier AI conferences. - Familiarity with generative AI, prompt engineering, and advanced AI topics like graph neural networks. - Proven ability to scale AI teams and lead complex AI projects in high-growth environments. Kindly enroll the profile using this URL link: https://careers.lilly.com/us/en/job/R-80941/AI-Lead