Job Description

: (JD)9+ years of experience, with skills on Azure Machine Learning and Databricks, and all other relevant technologiesJob Title: Azure AI/MLxe2x80x93 Azure ML & Databricks Expert (9+ Years Experience)Location: Pune, Kolkata, HyderbadEmployment Type: Full-timeAbout the Role:We are seeking a highly experienced Azure ML Ops Lead with 9+ years of industry expertise to lead the architecture, design, and implementation of scalable machine learning platforms and data solutions. The ideal candidate will have deep hands-on experience in Azure Machine Learning and Databricks, and a solid foundation across cloud (Azure & AWS), containerization, DevOps/MLOps, and data engineering technologies.Key Responsibilities:

• Lead architecture and design of advanced ML systems using Azure Machine Learning, Azure Databricks, and integrated cloud components.

• Define and establish MLOps best practices, including CI/CD for ML pipelines, monitoring, and model governance.

• Collaborate with data scientists, ML engineers, and product teams to design end-to-end ML workflows on Azure and Databricks.

• Architect and optimize data pipelines for training and inference using Azure Data Lake, Azure Data Factory, and Databricks notebooks.

• Leverage Docker and Kubernetes for containerized deployment of ML models and services.

• Provide technical leadership in DevOps, MLOps, and cloud-native application design and implementation.

• Guide decision-making on cloud architecture across Azure and AWS, based on cost, performance, scalability, and security.

• Design secure and scalable solutions using Linux (Ubuntu) environments with strong scripting and automation (Python/Bash).

• Lead database strategy and design for high-performance data access (SQL/NoSQL).

• Mentor engineering teams and drive technical excellence in ML system design.

Must-Have Technical Skills:

• Azure Machine Learning (Expert Level) xe2x80x93 Model training, deployment, endpoints, pipelines, monitoring.

• Azure Databricks (Expert Level) xe2x80x93 Notebooks, Spark, MLFlow, Delta Lake, orchestration.

• Azure Cloud (Strong Experience) xe2x80x93 Data Lake, ADF, Azure DevOps, Key Vault, Azure Kubernetes Service (AKS).

• AWS Cloud (Good Experience) xe2x80x93 S3, SageMaker (plus), Lambda, EC2, IAM.

• Docker & Kubernetes xe2x80x93 Building, orchestrating, and deploying scalable containerized ML solutions.

• Linux/Ubuntu xe2x80x93 Proficiency in shell scripting, system performance tuning, and package management.

• Python xe2x80x93 Strong coding skills with ML/AI libraries (scikit-learn, pandas, NumPy, etc.).

• Databases xe2x80x93 Experience with RDBMS and NoSQL (e.g., PostgreSQL, MySQL, MongoDB, Cosmos DB).

• DevOps/MLOps xe2x80x93 CI/CD pipelines, GitOps, ML pipeline automation, monitoring, and logging frameworks.

Preferred Experience:

• Experience with Terraform or ARM templates for infrastructure as code.

• Exposure to Kafka, Airflow, or event-driven architectures.

• Knowledge of model interpretability, bias detection, and explainable AI.

Certifications:Azure Solutions Architect, Azure AI Engineer, Databricks Certified Professional, etc.Soft Skills:

• Strong leadership and stakeholder management.

• Excellent problem-solving, decision-making, and analytical skills.

• Effective communication with both technical and non-technical teams.

• Ability to lead cross-functional teams in a fast-paced environment.

Education:

• Bachelorxe2x80x99s or Masterxe2x80x99s degree in Computer Science, Engineering, Data Science, or related field.

Why Join Us:

• Be a part of transformative AI/ML projects with real-world impact.

• Work in a tech-forward, cloud-native environment.

• Opportunity to architect enterprise-scale AI solutions.

What we believe:Wexe2x80x99re proud to embrace the same values that have shaped UST since the beginning. Since day one, wexe2x80x99ve been building enduring relationships and a culture of integrity. And today, it's those same values that are inspiring us to encourage innovation from everyone to champion diversity and inclusion, and to place people at the centre of everything we do.Humility:We will listen, learn, be empathetic and help selflessly in our interactions with everyone.Humanity:Through business, we will better the lives of those less fortunate than ourselves.Integrity:We honour our commitments and act with responsibility in all our relationships.UST is an Equal Opportunity Employer.All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.UST reserves the right to periodically redefine your roles and responsibilities based on the requirements of the organization and/or your performance.Skills:

• Azure Machine Learning (Expert Level) xe2x80x93 Model training, deployment, endpoints, pipelines, monitoring.

• Azure Databricks (Expert Level) xe2x80x93 Notebooks, Spark, MLFlow, Delta Lake, orchestration.

• Azure Cloud (Strong Experience) xe2x80x93 Data Lake, ADF, Azure DevOps, Key Vault, Azure Kubernetes Service (AKS).

• AWS Cloud (Good Experience) xe2x80x93 S3, SageMaker (plus), Lambda, EC2, IAM.

• Docker & Kubernetes xe2x80x93 Building, orchestrating, and deploying scalable containerized ML solutions.

• Linux/Ubuntu xe2x80x93 Proficiency in shell scripting, system performance tuning, and package management.

• Python xe2x80x93 Strong coding skills with ML/AI libraries (scikit-learn, pandas, NumPy, etc.).

• Databases xe2x80x93 Experience with RDBMS and NoSQL (e.g., PostgreSQL, MySQL, MongoDB, Cosmos DB).

• DevOps/MLOps xe2x80x93 CI/CD pipelines, GitOps, ML pipeline automation, monitoring, and logging frameworks.

About Company:UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the worldxe2x80x99s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clientsxe2x80x99 organizations. With over 30,000 employees in 30 countries, UST builds for boundless impactxe2x80x94touching billions of lives in the process.

UST