AI/ML Engineers L4

3 days ago

Delhi, Delhi, India Griphic Full time

AI/ML Engineer -
L4/L5 (Lead / Senior-Lead)

Location & Type: Delhi, Full-time

CTC Range (LPA):

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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