ML Software Architect

2 days ago

Varanasi, Uttar Pradesh, India beBeeMachineLearning Full time ₹ 9,00,000 - ₹ 11,40,000
ML Engineer: Backend Systems and AI Solutions

This is a full-time role for an experienced ML engineer. The position combines strong software engineering fundamentals with applied machine learning expertise.

The successful candidate will be responsible for developing and maintaining backend architecture, implementing machine learning algorithms, ensuring efficient performance, and collaborating with front-end developers to integrate user-facing elements.

Main 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 (MLflow/Kubeflow/DVC) to orchestration (Airflow/Prefect).
  • Contribute to end-to-end product development: data ingestion, preprocessing, model serving, monitoring and continuous improvement.
  • Collaborate with cross-functional teams in a fast-paced environment.

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.
  • Versioning & Collaboration: Git, GitHub/GitLab, code reviews, unit testing.
  • Ability to write clean, modular, and scalable code with strong debugging & testing discipline.

Desirable Skills:

  • Design backend APIs to support AI-driven process optimization and NLP-powered automations.
  • Strong ownership + problem-solving.
  • Eager to push Generative AI into real-world adoption.

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