Building Intelligent Systems: A Machine Learning Engineer Role

21 hours ago

Aligarh, Uttar Pradesh, India beBeeMachineLearningEngineer Full time ₹ 15,00,000 - ₹ 30,00,000
Machine Learning Engineer

We are a leading software company that powers the trusted identities of people, places, and things. Our innovative solutions enable safe transactions, productive work, and seamless travel.

As a Machine Learning Engineer at our organization, you will play a crucial role in supporting our success by designing and implementing machine learning pipelines and models, including LLM-based solutions.

Your key responsibilities will include:

  • 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

To be successful in this role, you will require:

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

This is an excellent opportunity for a skilled Machine Learning Engineer to join our organization and contribute to the design and implementation of innovative AI solutions.

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