Computer Vision Specialist

2 weeks ago

Vadodara, Gujarat, India beBeeEngineer Full time ₹ 1,80,00,000 - ₹ 2,00,00,000
Machine Learning Engineer

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

We are a high-tech company headquartered in Austin, TX, with over 4,500 worldwide employees.

As our Machine Learning Engineer, you'll support HID's success by:

  • 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

Required Skills & Qualifications include:

  • 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, 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)
  • Bonus: Experience with vector databases (e.g., Pinecone, Weaviate, FAISS) or orchestration tools (e.g., MLflow, Airflow)

What we offer you:

  • 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
  • Be part of a global organization pioneering hardware, software, and services that allow people to confidently navigate the physical and digital worlds

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