AI / ML Engineers L4 / L5

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.

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