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ML Engineer

Roles & Responsibilities

  • 5-8+ years of experience in AI/ML engineering
  • Minimum 4+ years in technical leadership or architectural roles
  • Strong experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Google Gemini, Llama, Mistral
  • Expertise in fine-tuning techniques: LoRA, QLoRA, PEFT

Requirements:

  • Design, develop, and deploy production-grade ML and LLM-based applications
  • Build and optimize Agentic RAG (Retrieval-Augmented Generation) systems
  • Develop and manage LLM pipelines, including fine-tuning and prompt engineering
  • Implement scalable AI architectures and agentic frameworks

Job description

This is a remote position.

Unlock New Career Horizons with SA Technologies Inc.

We're Hiring: ML Engineer in Pune.




Key Responsibilities

  • Design, develop, and deploy production-grade ML and LLM-based applications
  • Build and optimize Agentic RAG (Retrieval-Augmented Generation) systems
  • Develop and manage LLM pipelines, including fine-tuning and prompt engineering
  • Implement scalable AI architectures and agentic frameworks
  • Work on model optimization, evaluation, and deployment pipelines
  • Collaborate with cross-functional teams to translate business requirements into AI solutions
  • Ensure security, compliance, and performance optimization in AI applications
  • Lead technical discussions and provide architectural guidance

Required Skills & Experience

  • 5–8+ years of experience in AI/ML engineering
  • Minimum 4+ years in technical leadership or architectural roles

Core Technical Expertise

  • Strong experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Google Gemini, Llama, Mistral
  • Expertise in fine-tuning techniques: LoRA, QLoRA, PEFT
  • Hands-on experience in building Agentic RAG systems

Frameworks & Tools

  • Experience with orchestration frameworks:
    • LangChain, LlamaIndex, AutoGen, CrewAI, Semantic Kernel
  • Strong understanding of Model Context Protocol (MCP) architecture

Data & Retrieval Systems

  • Experience with vector databases:
    • Pinecone, Weaviate, Chroma, Qdrant, FAISS
  • Knowledge of embedding models and semantic search optimization

LLMOps & Deployment

  • Experience with tools such as:
    • MLflow, LangSmith, Weights & Biases
    • Vertex AI, SageMaker, Azure OpenAI Service
  • Experience with cloud platforms:
    • AWS Bedrock, GCP Vertex AI, Azure OpenAI

Programming & Development

  • Strong proficiency in Python
  • Experience in:
    • Async/concurrent programming
    • API development (FastAPI, Flask)
    • Agent memory systems and conversation management

Security & Optimization

  • Knowledge of:
    • Prompt injection prevention
    • PII handling
    • Secure RAG architecture
  • Expertise in:
    • Hybrid search, reranking, query expansion
    • Context window optimization

Soft Skills

  • Strong communication and stakeholder management skills
  • Ability to translate complex AI concepts into business solutions
  • Proven leadership and decision-making capabilities

At SA Technologies Inc., we believe in turning career aspirations into reality. As a Great Place to Work Certified company, recognized as one of the Best Places for Women, and a CMMI Level 5 Company, we are committed to creating a workplace that is inclusive, excellent, and supportive.

Why SA Technologies Inc.?

Empowering Work Environment: A Great Place to Work, especially celebrated as one of the Best Places for Women.

Excellence and Quality: A CMMI Level 5 Company, ensuring operational and service excellence.

Globally Acclaimed: A Microsoft Gold Partner and Google Partner, with over 20 years of global IT consulting and Development solutions delivery.

Have queries? We’re here to assist you! Chat live with our recruiter or connect with the job owner directly:

Email: kirti.sahare@satincorp.com

Embark on a rewarding journey together with us! At SA Technologies Inc., your journey begins with a friendly technical assessment, providing a stage to highlight your unique skills.




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