Python MLOps Developer

Role Description

Developer III- Sofware Engineering

Who We Are

At UST, we help the world’s best organizations grow and succeed through transformation. Bringing together the right talent, tools, and ideas, we work with our client to co-create lasting change. Together, with over 30,000 employees in 30+ countries, we build for boundless impact—touching billions of lives in the process. Visit us at .

Summary

We are seeking a highly motivated and experienced Python MLOps Engineer to join our growing team. You will be responsible for building, deploying, and maintaining machine learning models in a production environment. You will collaborate with data scientists and engineers to ensure the scalability, reliability, and performance of our ML systems.

The Opportunity

• Design, build, and maintain end-to-end ML pipelines using Databricks, MLflow, and Azure Machine Learning.
• Implement CI/CD pipelines for ML models, ensuring reproducibility, version control, and automated deployment.
• Operationalize LLM-based solutions, including prompt engineering, fine-tuning, and inference optimization.
• Monitor and manage model performance, drift, and retraining workflows.
• Collaborate with data scientists, data engineers, and DevOps teams to ensure seamless integration and delivery.
• Proficiency in Python and scripting for automation and orchestration.
• Strong understanding of MLOps tools: MLflow, DVC, Kubeflow, Airflow, or similar.
• Experience with containerization (Docker) and orchestration (Kubernetes).
• Familiarity with Azure DevOps, Git, and CI/CD pipelines for ML workflows.
• Knowledge of data governance, model monitoring, and compliance best practices.
  
  

What You Need

• Exposure to LLM fine-tuning, embedding generation, and vector databases (e.g., FAISS, Weaviate, Pinecone).
• Experience with Databricks Unity Catalog, Delta Live Tables, and Feature Store.
• Understanding of data security, access control, and cost optimization in cloud environments.
• Strong problem-solving and debugging skills.
• Excellent communication and collaboration abilities.
• Ability to work in a fast-paced, agile environment and manage multiple priorities.
• B.E./B.Tech/M.Tech/MCA in Computer Science, Information Technology, or a related field.
• Advanced degree in Data Science, Machine Learning, or Artificial Intelligence is a plus.
  
  

What We Believe

We’re proud to embrace the same values that have shaped UST since the beginning. Since day one, we’ve 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.

Equal Employment Opportunity Statement

UST is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation.

All employment decisions shall be made without regard to age, race, creed, colour, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

UST reserves the right to periodically redefine your roles and responsibilities based on the requirements of the organization and/or your performance.

• To support and promote the values of UST.
• Comply with all Company policies and procedures
  
  

Skills

Databricks,Python,Framework