Data Scientist

emagine; Maharashtra; On-site; INR 3,500,000 - 5,200,000; Full time

Job summary

emagine is seeking a Senior ML Engineer to develop and deploy generative AI systems for automotive applications. You will build and evaluate ML/DL models, leveraging Python for production-grade software and collaborating with cross-functional teams in an Agile setting.

The role requires 5+ years of ML experience, strong Python skills, and hands-on work with LLMs, transformers, and Azure OpenAI Service. You will design secure AI integration patterns and contribute to enterprise-grade AI

Qualifications

• Master's degree or PhD in Computer Science, AI, Data Science.
• 5+ years of professional experience in machine learning or related fields.
• Strong Python programming skills.
• Proven experience with ML architectures and evaluation methods.
• Experience with LLMs and transformer architectures.
• Hands-on experience with Azure OpenAI Service or equivalent.
• Ability to design secure and auditable integration patterns for AI agents.
• Excellent communication skills for technical and non-technical discussions.

Responsibilities

• Develop and deploy ML and DL models for real-world automotive applications.
• Implement maintainable and tested production-oriented software using Python.
• Design and evaluate ML techniques and architectures.
• Utilize Azure OpenAI Service or equivalent platforms for enterprise-grade generative AI apps.
• Construct retrieval-augmented generation (RAG) systems for document handling and semantic search.
• Design agentic AI systems with tool calling and API integration capabilities.
• Analyze complex datasets to derive actionable business insights.
• Communicate effectively with technical and non-technical stakeholders.
• Work in cross-functional teams in an Agile environment.

Skills

Python

Machine learning

Deep learning

LLM

Transformer architectures

Agile

Data analysis

Stakeholder communication

Education

Master's degree or PhD in Computer Science/AI/Data Science

Tools

Azure OpenAI Service

LangChain

AutoGen

Vector databases

Azure AI Foundry

Job description

Summary

This role focuses on leveraging machine learning expertise to develop generative AI systems and engineer solutions within the automotive industry. The primary objective is to create and deploy innovative AI technologies that enhance business outcomes and operational efficiency.

This role focuses on leveraging machine learning expertise to develop generative AI systems and engineer solutions within the automotive industry. The primary objective is to create and deploy innovative AI technologies that enhance business outcomes and operational efficiency.

Main Responsibilities

• Develop and deploy machine learning and deep learning models for real-world applications, particularly within the automotive industry.
• Implement maintainable and tested production-oriented software using Python.
• Design and evaluate machine learning techniques and architectures.
• Utilize Azure OpenAI Service or equivalent platforms to build enterprise-grade generative AI applications.
• Construct retrieval-augmented generation (RAG) systems for improved document handling and semantic search.
• Design agentic AI systems with capabilities for tool calling and API integration.
• Analyze complex datasets and derive actionable business insights from technical findings.
• Communicate effectively with both technical and non-technical stakeholders.
• Work in cross-functional teams in an Agile environment.

Key Requirements

• Master's degree or PhD in a relevant field (e.g., Computer Science, AI, Data Science).
• Minimum of 5 years’ professional experience in machine learning or related fields.
• Strong Python programming skills.
• Proven experience with machine learning architectures and evaluation methods.
• Experience with LLM and transformer architectures.
• Hands-on experience with Azure OpenAI Service or equivalent.
• Ability to design secure and auditable integration patterns for AI agents.
• Excellent communication skills for technical and non-technical discussions.

Nice to Have

• Knowledge of other programming languages such as C++ or .NET.
• Familiarity with agentic AI frameworks like Azure AI Foundry, LangChain, or AutoGen.
• Experience with document ingestion and vector databases.
• Understanding of the Model Context Protocol (MCP).

Other Details

Client: Automotive Client

Location: Pune (Bhosari