AI/ML Engineers L4 / L5

Job Description

AI/ML Engineer - L4/L5 (Lead / Senior-Lead) Location & Type: Delhi, Full-time CTC Range (LPA): 51.50 - 77.15 Role Overview We?re looking for a hands-on AI/ML Lead Engineer who can bridge research, product, and engineering. You?ll own the full ML lifecycle - from problem framing and data pipelines to model deployment, evaluation, and scaling in production. You?ll guide a small team of engineers, collaborate with product and design, and turn ideas into working AI features that reach users quickly and reliably. This is a startup environment: you?ll move fast, make pragmatic trade-offs, and ship continuously. What You?ll Do Lead design and development of core AI features - from data ingestion to real-time inference for production products. Architect ML systems and services that are scalable, cost-efficient, and observable. Mentor and guide Team of engineers (AI + SWE) in technical design, model evaluation, and best practices. Build LLM, CV, or multimodal pipelines (fine-tuning, adapters, retrieval, evaluation) depending on product needs. Define model evaluation frameworks (offline metrics + live A/B + user feedback loops). Collaborate with Software, Data, and Product teams to design features powered by ML. Deploy and monitor models using containerized microservices (ECS/K8s), ensure low-latency inference and reproducibility. Own incident response and postmortems for AI systems, improve reliability and reduce MTTR. Optimize training/inference cost (batching, quantization, mixed precision, GPU scheduling). Leadership on architecture decisions, research and scaling strategy. Technical Qualifications 5?9+ years in applied ML/AI roles, with at least 2 years leading or mentoring engineers. Expert in Python , strong in at least one deep-learning framework ( PyTorch/TensorFlow ). Experience with end-to-end ML pipelines (data prep, training, evaluation, deployment, monitoring). Proven success shipping ML-powered products not just models to real users. Hands-on with MLOps tooling (MLflow, Weights & Biases, DVC, Airflow, Prefect, etc.). Knowledge of containerized deployments (Docker, ECS, K8s) and CI/CD for ML. Strong fundamentals in statistics, experimentation , and interpreting real-world feedback. Experience optimizing GPU inference (ONNX, TensorRT, mixed precision, batching). Familiar with vector databases , RAG pipelines , and LLM fine-tuning/adapters (LoRA/QLoRA) . Exposure to observability stacks (Prometheus/Grafana/OpenTelemetry) and production logging/metrics. Clear, concise technical communication you can explain trade-offs and align teams fast. Nice to Have Experience working in a startup or early-stage product environment. Familiarity with data privacy, compliance , and security best practices in AI systems. Interest in shaping AI architecture for a growing product org. Strong sense of design-for-users : shipping smaller, usable ML features fast and iterating. About the Company Griphic is founded by IIT Delhi engineers with a vision to enrich lives through technological innovation. We combine cutting-edge AI with hyper-realistic virtual experiences to solve problems and disrupt industries. Our team includes IIT Delhi engineers, AI/ML experts, VR developers, and 3D specialists. Backed by SKETS Studio (700+ professionals in BIM, architecture, VR, and 3D visualization), we are building the future of immersive web applications. Follow Griphic to stay updated on upcoming roles and projects.