Creative Machine Learning Innovator

20 hours ago


Tirupati, Andhra Pradesh, India beBeeMachineLearning Full time US$ 1,80,000 - US$ 2,00,000

About Us

We are a high-tech software company with over 4,500 worldwide employees.

HID powers the trusted identities of the world's people, places, and things, allowing people to transact safely, work productively and travel freely.

Check us out here: www.hidglobal.com and this video.

Machine Learning Engineer Role

You'll support our success by designing and implementing machine learning pipelines and models, including LLM-based solutions.

  • Designing and implementing machine learning pipelines and models, including LLM-based solutions
  • Translating prototypes and research into production-grade code and deployable components
  • Developing and fine-tuning foundation models and LLMs for specific use cases
  • Training and optimizing numeric machine-learning models
  • Applying prompt engineering and building agent-based architectures for complex task automation
  • 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
  • Staying up to date with advances in AI and emerging LLM ecosystems to bring innovative capabilities to the team

Your Qualifications and Experience

To succeed in this role, you will need:

  • 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 such as LangChain, LangGraph, CrewAI, Autogen, Azure OpenAI Studio, Gemini Studio, and LangSmith or equivalent observability/debugging platforms
  • 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)

Benefits and Opportunities

We offer:

  • Competitive salary and rewards package
  • Competitive benefits and annual leave offering, allowing for work-life balance
  • A vibrant, welcoming & inclusive culture
  • Extensive career development opportunities and resources to maximize your potential
  • The chance to be part of a global organization pioneering the hardware, software, and services that allow people to confidently navigate the physical and digital worlds


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