Job Description

🔷 Job Title: Azure MLOps Engineer
📍 Location: [Mumbai / Pune / Bangalore / Hyderabad – Hybrid]
💼 Experience: 4–6 Years
🕒 Employment Type: Full-Time

🚀 About the Role

We are seeking a skilled Azure MLOps Engineer to design, implement, and manage scalable machine learning pipelines and deployment frameworks. The ideal candidate will have strong experience in Azure MLOps ecosystem, enabling seamless integration between data science models and production systems.

You will play a critical role in operationalizing ML models, ensuring reliability, scalability, and cost efficiency across the lifecycle.

🛠️ Key Responsibilities
Design, implement, and manage end-to-end ML pipelines using Azure ML, Databricks, and PySpark
Build and maintain CI/CD pipelines using Bitbucket, Jenkins, and integrate SonarQube for code quality and security
Deploy and manage ML models using Azure Kubernetes Service (AKS) ensuring scalability and high availability
Develop reusable ML pipeline templates to standardize deployment and improve efficiency
Design and manage secure and scalable APIs for ML model consumption
Monitor model performance including data drift, model accuracy, and data refresh cycles
Optimize ML pipelines for performance and cost efficiency
Implement cost monitoring strategies for training and deployment workloads
Collaborate with Data Scientists, DevOps, and IT teams for smooth model deployment and operations
Maintain detailed documentation for ML workflows, pipelines, and best practices
💻 Technical Expertise
Strong hands-on experience with:
Azure Machine Learning (Azure ML)
Azure Databricks & PySpark
Azure Kubernetes Service (AKS)
Experience with:
CI/CD tools (Jenkins, Bitbucket)
Code quality tools (SonarQube)
Knowledge of:
API development and integration
Containerization (Docker)
Monitoring and logging frameworks
🧠 Required Skills & Qualifications
4–6 years of experience in MLOps / ML Engineering roles
2–3 years of hands-on experience with Azure MLOps technologies
Strong understanding of ML lifecycle and deployment pipelines
Experience with model monitoring, drift detection, and optimization
Strong problem-solving and analytical skills
Excellent communication and collaboration abilities
🔄 Additional Expectations
Ability to work in cross-functional teams and Agile environments
Focus on scalability, reliability, and automation
Strong attention to detail and engineering best practices
🌟 Why Join Us?
Work on cutting-edge MLOps and cloud-based AI systems
Opportunity to build scalable ML platforms and solutions
Collaborative and innovation-driven environment
📩 Apply Now

📧 Email: Bitts.India@gmail.com
📞 Contact: 9834898276

Interested candidates can share their profiles via email or connect directly for more details.