Senior AI Model Developer

9 hours ago


Rajkot, Gujarat, India beBeeJob Full time US$ 1,80,000 - US$ 2,30,000
Machine Learning Engineer Position Overview

We are seeking a talented Machine Learning Engineer to join our team and contribute to the development of innovative AI solutions. As a key member of our engineering team, you will design and implement machine learning pipelines and models, including LLM-based solutions.

The ideal candidate will have hands-on experience with LLM solution development and integration, as well as a solid understanding of modern LLM tools and frameworks such as LangChain, LangGraph, CrewAI, Autogen, Azure OpenAI Studio, Gemini Studio, and LangSmith or equivalent observability/debugging platforms.

You will also be responsible for integrating models into backend systems and supporting real-time/batch inference services, working with guardrails and observability tools to ensure safe and robust use of generative AI.

We offer a competitive salary and rewards package, along with a vibrant, welcoming & inclusive culture and extensive career development opportunities.

  • Key Responsibilities:
  • Design and implement machine learning pipelines and models, including LLM-based solutions
  • Translate prototypes and research into production-grade code and deployable components
  • Develop and fine-tune foundation models and LLMs for specific use cases
  • Train and optimize numeric machine-learning models
  • Apply prompt engineering and build agent-based architectures for complex task automation
  • Integrate models into backend systems and support real-time/batch inference services
  • Work with guardrails and observability tools to ensure safe and robust use of generative AI
  • Stay up-to-date with advances in AI and emerging LLM ecosystems to bring innovative capabilities to the team
Required Skills and Qualifications
  • Bachelor's or Master's in Computer Science, Engineering, or a related technical field
  • 3+ years of experience building and deploying machine learning models in production
  • Hands-on experience with LLM solution development and integration
  • Solid understanding of modern LLM tools and frameworks
  • Proficiency with Python and ML libraries like PyTorch, TensorFlow, scikit-learn, or Hugging Face Transformers
  • Deep understanding of agent architectures, prompt engineering, and LLM guardrails
  • Experience with CI/CD practices, version control, testing, and model governance
  • Comfortable working with cloud platforms (AWS, GCP, or Azure) and container technologies (Docker, Kubernetes)
What We Offer
  • Competitive salary and rewards package
  • Competitive benefits and annual leave offering, allowing for work-life balance
  • Vibrant, welcoming & inclusive culture
  • Extensive career development opportunities and resources to maximize your potential

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