AI/ML Engineer

Job Title: Full Stack MLOps Developer

Location: Pune/Nagpur, Maharashtra - (Onsite Office)

Duration: Full-Time

Experience: 6 to 8 years

Working Hours: UK time shift

Notice Period: Immediate or 15 days max.

Must have: MLOps, Python/Typescript/Azure/Kubernetes/ Front-end experience (React)

Full Stack Engineer with expertise in MLOps, Kubernetes (K8s), Apache Airflow, Python, TypeScript, Kadro, and Azure

Key Responsibilities:

• Develop and maintain end-to-end full stack applications with a focus on ML deployment and automation.
• Design, implement, and manage scalable MLOps pipelines utilizing Kubernetes, Airflow, and Azure.
• Collaborate with data scientists and DevOps teams to automate ML workflows and deployment processes.
• Build robust backend services using Python and integrate them with frontend components developed in TypeScript.
• Manage container orchestration and deployment strategies using Kubernetes.
• Develop and enhance cloud infrastructure and services on Azure to support scalable ML solutions.
• Implement monitoring, logging, and alerting for deployed ML models and applications.
• Ensure code quality, security, and best practices are followed throughout the development lifecycle.

Required Skills & Qualifications:

• Proven experience in Full Stack Development with proficiency in

  Python and TypeScript.

• Strong understanding of

  MLOps practices and tools.

• Hands-on experience with

  Kubernetes (K8s)

  for container orchestration.
• Experience with

  Apache Airflow for workflow automation.

• Solid knowledge of

  Azure cloud platform

  services and infrastructure management.
• Familiarity with

  Kadro

  (or equivalent workflow/automation tools).
• Experience in deploying and

  managing ML models

  in production environments.
• Strong problem-solving skills and ability to work in a collaborative team environment.
• Excellent communication skills and ability to adapt to evolving project requirements.

Preferred Qualifications:

• Experience with CI/CD pipelines and DevOps practices.
• Knowledge of data engineering and database management.
• Prior experience working in a cloud-native environment.

Interview Approach:

• Strong problem-solving skills
• Approach to solving problems
• Hands-on coding skills
• Use of Copilot or similar tools to write code
• Ability to write unit test cases
• Following a modern development cycle