Apply Now : 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)

Job Description :

Seeking a highly skilled Full Stack Engineer with expertise in MLOps, Kubernetes (K8s), Apache Airflow, Python, TypeScript, Kadro, and Azure to join our dynamic team. The ideal candidate will be responsible for designing, developing, and deploying scalable machine learning solutions and cloud-native applications, ensuring seamless integration and automation across platforms.

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 :

Preferred Qualifications :

Interview Approach :