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HID - Machine Learning Engineer - LLM

HID - Machine Learning Engineer - LLM

HIDChennai
30+ days ago
Job description

Profile Summary :

Were looking for an innovative and hands-on Machine Learning Engineer to join our corporate data science team, part of the CTOs Office at HID Global.

You'll collaborate with data scientists, ML Ops engineers, and full-stack developers to help bring AI-driven ideas into production.

This role focuses on building performance, scalable ML systems including classical models, LLMs, and multi-agent architectures and turning them into real-world applications.

You'll play a key role in shaping HIDs adoption of machine learning and generative AI, with responsibilities ranging from model development to prompt optimization to implementation of safety and governance mechanisms.

Qualifications :

  • To perform this job successfully, an individual must be able to perform each essential duty satisfactorily.
  • The requirements listed below are representative of the knowledge, skill, and / or ability required.
  • Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

As our Machine Learning Engineer, you;ll support HIDs 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
  • Roles & Responsibilities include the following (Other duties may be assigned) :

  • Hands-on experience with LLM solution development and integration
  • Solid understanding of modern LLM tools and frameworks such as :
  • 1. LangChain, LangGraph, CrewAI, Autogen

    2. Azure OpenAI Studio, Gemini Studio

    3. 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 architecture, 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)
  • Education and / or Experience :

  • 6+ years of experience building and deploying machine learning models in production
  • Bachelors or masters degree in computer science, Engineering, or a related technical field
  • What we can 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
  • To be a part of a global organization pioneering the hardware, software, and services that allow people to confidently navigate the physical and digital worlds
  • (ref : hirist.tech)

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