: 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.

1. Model Optimization: Fine-tune open-source and proprietary models (e.g., LLaMA, GPT) using advanced techniques like LoRA, QLoRA, or instruction tuning.  Agentic Frameworks: Develop complex agentic workflows utilizing frameworks such as

2)LangChain or LlamaIndex.  Prompt Engineering: Implement expert-level prompt engineering, tool/function calling, and structured output generation.  Project Ownership & Execution
1. Full Lifecycle Ownership: Take complete accountability for the full ML and GenAI lifecycle, spanning data processing, model development, monitoring, and optimization.

4)Architectural Leadership: Drive strategic architectural decisions for AI platforms, ensuring they are modular, scalable, and maintainable.
1.



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

6)Leadership & Mentoring: Act as a key technical leader, managing stakeholders and mentoring team members to ensure all project milestones are met with quality. 7)System Integrity: Manage model and prompt versioning, experiment tracking, and comprehensive documentation for all pipelines and workflows.

8)Performance Under Pressure Production Reliability: Ensure all AI systems maintain extreme scalability and performance under heavy production workloads, including both batch and real-time processing.

9)High-Pressure Optimization: Rapidly optimize inference latency and system costs for ML and LLM systems to meet urgent business and technical requirements.

10)Proactive Problem Solving: Apply strong analytical thinking to address complex challenges such as system drift, hallucinations, and latency in fast-paced environments.

11)Robust Guardrails: Implement and manage strict evaluation frameworks and feedback loops to maintain system quality under stress. Qualifications:  Bachelor’s or Master’s degree in Computer.

Qualification

 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 - ₹4,500,000.00 per year

Perks

- Cell phone reimbursement
- Flexible schedule
- Health insurance
- Leave encashment
- Life insurance
- Paid sick time
- Provident Fund

Work Location: In person

📌 AI/ML Engineer (Gurugram)
🏢 Antino Labs
📍 Gurugram