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Lead Data Scientist / AI Solution Architect

Lead Data Scientist / AI Solution Architect

Optimum Data Analytics

6 - 8 years

0 Lacs

Pune Maharashtra India

Posted:1 week ago| Platform:

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Skills Required

data ai analytics cutting ml azure design development docker orchestration vision drive model monitoring versioning architecture openai engineering tuning programming python tensorflow pytorch git devops communication management collaboration kubernetes

Work Mode

On-site

Job Type

Full Time

Job Description

About Optimum Data Analytics (ODA)

At ODA, we empower organizations with advanced data and AI solutions tailored to real-world challenges. Join a team of innovators building scalable, intelligent platforms using cutting-edge tools across cloud, data science, and GenAI.

Role Overview

We are looking for a

Lead Data Scientist / AI Solution Architect

to join our growing AI & Data team. The ideal candidate will have hands-on experience designing and deploying AI/ML solutions with

Azure Cloud, LLMOps, Containerized environments, and Generative AI technologies

. This is an onsite role based in

Pune

, offering you the opportunity to collaborate closely with cross-functional teams on impactful projects.

Key Responsibilities

Architect and implement end-to-end AI/ML solutions using Azure AI/ML services
Lead the design and development of LLMOps pipelines for deploying and managing large language models (LLMs)
Work with containerized deployments using Docker and orchestration tools like Kubernetes
Integrate and fine-tune Generative AI models for various real-world applications (text, vision, conversation, etc.)
Collaborate with data engineers, product teams, and business stakeholders to deliver scalable AI systems
Drive model monitoring, versioning, and responsible AI practices
Document technical architecture, decision-making, and knowledge transfer

Required Skills & Qualifications

6 to 8 years of experience in Data Science / AI / ML solution development
Strong hands-on experience with Azure AI services (ML Studio, Azure OpenAI, etc.)
Experience working with LLMs, prompt engineering, and fine-tuning techniques
Proven experience with containerized environments (Docker, Kubernetes)
Strong programming skills in Python with relevant ML/AI libraries (TensorFlow, PyTorch, Transformers, etc.)
Solid understanding of LLMOps/MLOps lifecycle and best practices
Familiarity with CI/CD pipelines, Git, and DevOps for ML
Excellent communication, stakeholder management, and team collaboration skills

Good To Have

Experience with Azure Cognitive Search, Azure Data Lake, or Databricks
Exposure to LangChain, Hugging Face, or OpenAI APIs
Prior experience working in a startup or fast-paced product environmen

Skills: python,pytorch,azure ai services,kubernetes,azure,ml,ml studio,prompt engineering,azure openai,tensorflow,docker,ci/cd pipelines,generative ai,llm,transformers,mlops,git,ai,containerized environments,fine-tuning techniques,llms,devops,llmops

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Lead Data Scientist / AI Solution Architect