AI/ML Engineers L4 / L5

L4/L5 (Lead / Senior-Lead)

Delhi, Full-time

51.50 - 77.15

Role Overview

hands-on AI/ML Lead Engineer

own the full ML lifecycle

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.

Application

Interested candidates can apply via the Google Form below:

https://docs.google.com/forms/d/e/1FAIpQLSf5lwNn6gqIE6tBgvLGsU362jMsDDHLt4ceandTaawf3E_UtQ/viewform?pli=1

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