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Ivis International Private Limited

Senior AI/ML | Gen AI Engineer

5-8 Years
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Job Description

Position: Senior AI/ML & Gen AI Engineer

Experience: 5+ Years

Location: Hyderabad

Work Mode: 5 Days Work from Office


Role Overview:

We are hiring a Senior AI/ML & Gen AI Engineer with expertise in AWS Bedrock, AWS Nova, LLMs, RAG, and Agentic AI architectures. This role will focus on AI model development, MLOps, Gen AI solutions, and AI-first innovation initiatives. The ideal candidate will work on PoCs, accelerators, and AI-driven solutions while mentoring freshers and contributing to the growth of our AI practice.


Key Responsibilities:

  • Develop and deploy AI/ML models, LLM-based applications, and RAG architectures
  • Design AI-powered accelerators, PoCs, and reusable ML pipelines
  • Build multi-cloud AI/ML solutions using AWS Bedrock, AWS Nova, Azure ML, and Vertex AI
  • Contribute to AI-driven GTM strategies and thought leadership initiatives
  • Explore and implement Agentic AI for autonomous AI workflows


Required Skills & Experience:


Must-Have:

  • 6–8 years of hands-on experience in AI/ML, LLMs, RAG, and Gen AI
  • Strong expertise in Python, TensorFlow, PyTorch, LangChain, and Hugging Face
  • Experience with AWS Bedrock, AWS Nova, Azure AI, Vertex AI, and OpenAI APIs
  • MLOps experience for automating AI model deployment
  • Hands-on experience with Vector Databases (Pinecone, FAISS, ChromaDB)


Nice-to-Have:

  • Experience with AutoML, Prompt Engineering, and fine-tuning LLMs
  • Contributions to open-source AI projects and research
  • Understanding of AI Ethics, AI security, and Responsible AI frameworks

More Info

Job Type:
Function:
Employment Type:
Open to candidates from:
Indian

About Company

Motivity Labs – CMMI-Level 3, Award-Winning Technology Partner
Motivity Labs is a CMMI Level 3, awardwinning IT services firm trusted by Fortune 500
enterprises and highgrowth innovators alike. Headquartered in Dallas with a global delivery
center in Hyderabad, we combine deep domain expertise with a relentless focus on futureready
technologies to accelerate our clients’ digital journeys.

Job ID: 145580623

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