Leading LLM Solutions Architect

2 days ago

Pune, Maharashtra, India beBeeMachine Full time ₹ 21,17,976 - ₹ 25,34,974

Unlock your potential as a Machine Learning Engineer and contribute to the success of our organization.

About Us

We are a high-tech company with over 4,500 worldwide employees, dedicated to pioneering hardware, software, and services that enable people to navigate physical and digital worlds confidently.

Our team is passionate about harnessing the power of artificial intelligence to drive innovation and improve lives.

Job Description

We seek an experienced Machine Learning Engineer to design and implement machine learning pipelines and models, including LLM-based solutions. Key responsibilities 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
Required Skills and Qualifications

To be successful 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

We offer a competitive salary and rewards package, along with a vibrant, welcoming, and inclusive culture. You will have access to extensive career development opportunities and resources to maximize your potential.

We believe in work-life balance and provide a comprehensive benefits and annual leave offering. Join us in shaping the future of AI and making a meaningful impact on people's lives.

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