Artificial Intelligence Engineer

4 days ago

Coimbatore, Tamil Nadu, India beBeeMachineLearning Full time ₹ 25,00,000 - ₹ 40,00,000
Job Description

We are a leading innovator in machine learning solutions, with a strong presence worldwide.

The successful candidate will play a key role in our team by designing and implementing machine learning pipelines and models, including large language model-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 Experience and Background include:

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
  • 3+ years of experience building and deploying machine learning models in production environments.
  • 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).

We offer a dynamic work environment that fosters innovation and collaboration. If you are passionate about machine learning and eager to take on new challenges, we encourage you to apply.
Key Skills:

  • Machine Learning
  • Python
  • Large Language Models
  • Cloud Platforms
  • Container Technologies

This is an exciting opportunity to join a team of experts who are shaping the future of AI and machine learning. Apply now to become a part of our team and contribute to cutting-edge projects.

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