Senior ML Engineer - GenAI & MLOps on Databricks

Tata Consultancy Services; Johannesburg; On-site; ZAR 1,200,000 - 1,800,000; Full time

Job summary

Tata Consultancy Services (MEA) is hiring a Senior Data Scientist (ML Engineer) in Johannesburg to productionise and monitor ML models on Databricks. You will deploy AI agents, GenAI apps, and RAG solutions, building reusable ML pipelines with CI/CD and governance.

You will deploy and manage models on AKS, develop APIs, and collaborate with cross-functional teams to ensure scalable, secure AI platforms. You will need strong Python, SQL, API development, and cloud experience, plus hands-on

Qualifications

• Strong understanding of MLOps, DevOps and software engineering practices for ML platforms.
• Experience building, deploying and supporting ML solutions in production.
• Proficiency in Python and experience with SQL and API development.
• Experience with Databricks, MLflow, Model Serving and cloud-native AI/ML platforms.
• Hands-on experience with Kubernetes, Docker and containerised deployment.
• Experience deploying ML on AKS and cloud platforms.
• Knowledge of CI/CD pipelines and infrastructure automation.
• Experience with distributed computing like Spark.

Responsibilities

• Productionise, deploy and monitor ML models and data pipelines on Databricks.
• Build, deploy and support AI Agents, GenAI apps and RAG solutions on Databricks.
• Develop reusable ML pipelines with CI/CD, tests, monitoring and governance.
• Deploy, optimise and manage AI/ML models on AKS.
• Create APIs and microservices on AKS to expose ML capabilities.
• Implement containerised solutions with Docker and Kubernetes for scalable deployments.
• Monitor model performance, drift and reliability in production.
• Collaborate with Data Scientists to productionise prototypes into business-ready solutions.
• Ensure compliance with enterprise standards across platform teams.
• Troubleshoot production issues related to models, pipelines and APIs.
• Aim for performance, scalability and cost efficiency in AI/ML solutions.
• Contribute to engineering standards and reusable frameworks.
• Mentor junior engineers and promote knowledge sharing.

Skills

Databricks Workflows

Model Serving

MLflow

REST APIs

Docker

Kubernetes

CI/CD

MLOps

Machine Learning

Generative AI

LLM deployment

Cloud engineering

Monitoring

Education

Masters or Doctorate advantageous

Computer Science or Engineering background

Econometrics or Mathematical Statistics background

Tools

Databricks

Azure Kubernetes Service (AKS)

Docker

Kubernetes

Job description

Tata Consultancy Services (MEA) is hiring a Senior Data Scientist (ML Engineer) in Johannesburg to productionise and monitor ML models on Databricks. You will deploy AI agents, GenAI apps, and RAG solutions, building reusable ML pipelines with CI/CD and governance.

You will deploy and manage models on AKS, develop APIs, and collaborate with cross-functional teams to ensure scalable, secure AI platforms. You will need strong Python, SQL, API development, and cloud experience, plus hands-on