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AI/ML Engineer

AI/ML Engineer

SourcingXPress

3 years

35 - 45 Lacs

hyderabad telangana india

Posted:21 hours ago| Platform:

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Skills Required

ai ml healthcare cutting development model integration deployment architecture openai engineering strategies retrieval tuning mistral training pytorch evaluation testing versioning tracking fastapi docker microservices monitoring logging inference latency data preprocessing learning software python kubernetes api design quantization optimization aws gcp azure vision

Work Mode

On-site

Job Type

Full Time

Job Description

Company:

A valued client of Gamifi

Website:

Visit Website

Business Type:

Small/Medium Business

Company Type:

Product

Business Model:

B2B2C

Funding Stage:

Series A

Industry:

Healthcare AI

Salary Range:

₹ 35-45 Lacs PA

This is a permanent role with Series A funded health tech AI startup, a valued client of Sourcingxpress.

Job Purpose

We are looking for a skilled AI Engineer to develop, implement, and optimize AI solutions using cutting-edge generative AI technologies. This role focuses on hands-on development of AI applications, model integration, and production deployment while working closely with our AI architecture team.

Key Responsibilities

AI Application Development

Build and maintain AI-powered applications using LLM APIs (OpenAI, Claude, Gemini, etc.)
Implement prompt engineering strategies and optimize model interactions for performance and cost
Develop custom AI workflows including retrieval-augmented generation (RAG) systems
Create robust error handling, fallback mechanisms, and response validation systems

Model Implementation & Fine-tuning

Fine-tune open-source models (Llama, Mistral, etc.) for specific use cases and domains
Implement training pipelines using modern frameworks (PyTorch, Hugging Face Transformers)
Conduct model evaluation, A/B testing, and performance optimization
Manage model versioning and experiment tracking

Production Deployment & Operations

Deploy AI models and applications using FastAPI, Docker, and Kubernetes
Build scalable microservices architecture for AI applications
Implement monitoring, logging, and alerting for production AI systems
Optimize inference performance, latency, and resource utilization

Integration & Data Engineering

Integrate AI capabilities into existing systems and workflows
Build data pipelines for model training and inference
Work with vector databases and embedding systems
Implement caching strategies and data preprocessing pipelines

Required Qualifications

3+ years of experience in machine learning or software engineering
1+ years of hands-on experience with generative AI and LLM integration
Demonstrated experience deploying ML models in production environments

Technical Skills

Proficiency with LLM APIs and SDKs (OpenAI, Anthropic, Google, etc.)
Experience fine-tuning transformer models using Hugging Face, PyTorch, or similar
Strong proficiency in Python and modern software development practices
Hands-on experience with FastAPI, Docker, and containerization
Experience with Kubernetes for container orchestration
Knowledge of RESTful API design and microservices architecture

Preferred Qualifications

Experience with vector databases (Pinecone, We aviate, Chroma, etc.)
Knowledge of retrieval-augmented generation (RAG) implementation
Experience with model quantization and optimization techniques
Familiarity with cloud platforms (AWS, GCP, Azure) and their AI services
Experience with streaming and real-time AI applications
Knowledge of AI safety and responsible AI practices
Experience with specific domains (NLP, computer vision, etc.)

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