AI / ML Engineers L4 / L5
GriphicDelhi, India, India16 hours ago
Job description5–9+ 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. 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.
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
Nice to Have
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.
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Engineer Engineer • Delhi, India, India
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