AI Systems Engineer

4 days ago

Kannur, Kerala, India beBeeAI Full time ₹ 9,00,000 - ₹ 11,40,000

Empowering India's institutions with data-driven solutions requires innovative leaders who can build and scale AI systems.

This role combines strong software engineering fundamentals with applied machine learning expertise to drive cutting-edge product development.

The ideal candidate will co-assist in designing, building, and scaling production-ready AI systems that transform industries.

You will be responsible for developing and maintaining backend architecture, software development, and implementing machine learning algorithms.

Key Responsibilities:
  • Build robust backend systems & APIs to deploy and scale ML solutions.
  • Work with cloud-native infrastructure (AWS) to design cost-efficient, high-availability ML pipelines and scalable cloud-supported backend solutions.
  • Implement ML lifecycle workflows from experiment tracking to orchestration.
  • Contribute to end-to-end product development: data ingestion, preprocessing, model serving, monitoring, and continuous improvement.
Required Skills:
  • Bachelor's / Master's degree in CS, Data Science, AI/ML
  • 1-3 years of experience in backend development, with a focus on building scalable, distributed systems.
  • Programming languages: MERN, Python, Golang, Java
  • Databases: Strong experience with PostgreSQL + familiarity with NoSQL/MongoDB.
  • MLOps & Infrastructure: Knowledge of MLflow, Kubeflow, DVC, CI/CD pipelines, Docker, Kubernetes
  • Cloud & Infra: AWS SageMaker/Bedrock, GCP Vertex AI, Azure AI.

Candidate Mindset:

  • Startup-ready: adaptable, curious, hands-on.
  • Strong ownership + problem-solving.
  • Eager to push Generative AI into real-world adoption.

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