while remaining hands-on with production-grade code. This role combines client engagement, end-to-end architecture ownership, and technical leadership.
Key Responsibilities
Lead
end-to-end design & implementation
of AI/ML & GenAI solutions.
Act as a
client-facing technical advisor
, shaping roadmaps and validating delivery.
Build and optimize
LLM-powered applications, agentic AI workflows, and pipelines
.
Develop production-ready Python code: APIs, microservices, and ML integrations.
Execute
prompt engineering & fine-tuning
strategies for LLM-driven features.
Implement
MLOps & CI/CD pipelines
(Docker, Kubernetes, Azure).
Conduct
code reviews, performance profiling, and model governance
.
Ensure compliance with
responsible AI, privacy & data regulations
.
Required Skills
Programming:
Python (Pandas, NumPy, FastAPI/Flask)
ML/AI Expertise:
LLMs, NLP, GenAI, Hugging Face Transformers, Reinforcement Learning, Agentic AI
Azure (preferred), CI/CD (GitHub Actions/Jenkins), monitoring, scaling ML pipelines
Soft Skills:
Strong client-facing communication, problem-solving, team leadership
Preferred
Proven delivery of
enterprise-scale GenAI apps
Multi-modal AI/agentic AI experience
Familiarity with
GDPR/HIPAA, ethical AI frameworks
Job Type: Full-time
Pay: ₹1,200,000.00 per year
Benefits:
Paid sick time
Application Question(s):
Have you worked with LLMs/GenAI tools (OpenAI, Hugging Face, LangChain, etc.) in production?
Do you have experience deploying ML solutions on Azure (or other clouds) with MLOps pipelines?
Do you have 8-10 years of experience in AI/ML with hands-on coding in Python?
Would you be fine with an annual package of 12 LPA?
We must fill this position urgently. Can you start immediately?
How many days of notice period do you have?
What's your current CTC?
Experience:
python: 6 years (Required)
Work Location: Remote
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