AI Systems Developer

5 days ago

Hyderabad, Telangana, India beBeeBackend Full time ₹ 9,00,000 - ₹ 11,40,000

We are building innovative AI solutions that empower key institutions to leverage their data for solving critical issues. Our software enables customers to comprehensively analyze their data, providing insights that were previously inaccessible.

This role is a full-time opportunity for an ML Backend Engineer. The engineer will be responsible for developing backend architecture, software development, implementing machine learning algorithms, ensuring efficient performance, and collaborating with front-end developers to integrate user-facing elements.

Main Responsibilities

  • Develop 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, including experiment tracking (MLflow/Kubeflow/DVC) and orchestration (Airflow/Prefect).
  • Contribute to end-to-end product development: data ingestion, preprocessing, model serving, monitoring, and continuous improvement.
  • Collaborate with founding engineers to embed intelligent agents, predictive models, and decision-making capabilities into backend workflows using predictive learning through ML algorithms.

Requirements

  • Bachelor's / Master's degree in CS, Data Science, AI/ML.
  • 1-3 years of experience in backend development, focusing on building scalable, distributed systems.
  • Programming languages: MERN, Python, Golang. Java is optional but desirable.
  • 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.
  • Versioning & Collaboration: Git, GitHub/GitLab, code reviews, unit testing.
  • Ability to write clean, modular, and scalable code with strong debugging & testing discipline.
  • Adaptable mindset, strong ownership, and problem-solving skills.

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