Lead AI/ML Eng

Job Description: We are seeking a versatile and highly skilled Lead AI/ML Engineer with deep expertiseinGenerativeAI(GenAI) and Large Language Models (LLMs). This role requires a leader who can take full ownershipoftheAI lifecycle—from initial architectural design to final production execution. You will leadthedevelopmentof scalable AI-powered applications, demonstrating exceptional execution skills and theabilitytodeliverhigh-performance results under pressure in demanding production environments.

Machine Learning & LLM Capability:  End-to-End ML Engineering: Build and manage comprehensive ML pipelines, includingdataingestion, preprocessing, training, and evaluation using frameworks like PyTorch, TensorFlow,and Scikit-learn.

 Advanced LLM Systems: Design and implement sophisticated LLM-based applicationssuchasautonomous agents, chatbots, and complex automation tools.  Generative AI Specialization: Architect and optimize Retrieval-AugmentedGeneration(RAG)pipelines using vector databases like FAISS, Pinecone, or Weaviate.

Model Optimization: Fine-tune open-source and proprietary models (e.g., LLaMA, GPT)usingadvanced techniques like LoRA, QLoRA, or instruction tuning.

 Agentic Frameworks: Develop complex agentic workflows utilizing frameworkssuchasLangChain or LlamaIndex.

 Prompt Engineering: Implement expert-level prompt engineering, tool/functioncalling,andstructured output generation.

 Project Ownership & Execution  Full Lifecycle Ownership: Take complete accountability for the full ML andGenAI lifecycle,spanning data processing, model development, monitoring, and optimization.

 Architectural Leadership: Drive strategic architectural decisions for AI platforms, ensuringtheyare modular, scalable, and maintainable.

 Execution Excellence: Write clean, high-performance Python code following strict OOPprinciplesand manage CI/CD pipelines for seamless project execution.

 Leadership & Mentoring: Act as a key technical leader, managing stakeholders andmentoringteam members to ensure all project milestones are met with quality.  System Integrity: Manage model and prompt versioning, experiment tracking,andcomprehensive documentation for all pipelines and workflows.

 Performance Under Pressure  Production Reliability: Ensure all AI systems maintain extreme scalability andperformanceunderheavy production workloads, including both batch and real-time processing.

 High-Pressure Optimization: Rapidly optimize inference latency and systemcosts for MLandLLMsystems to meet urgent business and technical requirements.  Proactive Problem Solving: Apply strong analytical thinking to address complex challenges such as system drift, hallucinations, and latency in fast-paced environments.

 Robust Guardrails: Implement and manage strict evaluation frameworks andfeedbackloopstomaintain system quality under stress.

 Bachelor’s or Master’s degree in Computer Science, AI, ML, or a related field.

 Proven expertise in Python, system design, and scalable AI/ML architecture.

 Deep knowledge of NLP, Computer Vision, and Deep Learning models.

 Hands-on experience with Docker, Kubernetes, MLOps, and major cloud platforms (AWS, GCP,orAzure)

Pay: ₹2,000,000.00 - ₹4,000,000.00 per year

Benefits:

• Flexible schedule
• Health insurance
• Leave encashment
• Paid sick time
• Paid time off
• Provident Fund

Work Location: In person