AI/ML Engineers L4
17 hours ago
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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