ML Ops Engineer: Build & Deploy Scalable ML Pipelines

Tata Consultancy Services Limited; Hinoba-an; Vor Ort; PHP 789.000 - 1.577.000; Vollzeit

Zusammenfassung

Tata Consultancy Services Limited is seeking an AI ML Developer to build, deploy, and manage scalable ML pipelines and production-ready models. You will work with data scientists and engineers to operationalize ML solutions across diverse business use cases.

You will develop CI/CD workflows for model training, testing, deployment, and monitoring, while implementing model monitoring and drift detection to ensure performance and reliability.

Qualifikationen

• Proficient in Python, SQL and scripting for automation.
• Experience with ML frameworks TensorFlow, PyTorch, Scikit-learn.
• Experience with cloud platforms (Azure/AWS/GCP) and model deployment.
• Data engineering tools like Spark, Databricks, Airflow.
• Knowledge of model registry, feature store and experiment tracking (MLflow).
• Experience with IaC tools (Terraform, ARM, CloudFormation).

Aufgaben

• Build, deploy, and manage scalable ML pipelines and production ML models.
• Develop and maintain CI/CD workflows to automate model training, testing, deployment, and monitoring.
• Collaborate with data scientists and engineers to operationalize ML solutions across business use cases.
• Implement model monitoring, drift detection, retraining strategies, and performance optimization.

Kenntnisse

Python

SQL

scripting automation

ML frameworks

Cloud platforms

Model deployment

Data engineering tools

Model Registry/MLflow

Infrastructure as Code

Ausbildung

BE/BTech/MTech/MCA/BCA/BSc/Diploma/Masters

15 years of full-time education

Tools

TensorFlow

PyTorch

Scikit-learn

Azure

AWS

GCP

Spark

Databricks

Airflow

MLflow

Terraform

CloudFormation

Jobbeschreibung

Tata Consultancy Services Limited is seeking an AI ML Developer to build, deploy, and manage scalable ML pipelines and production-ready models. You will work with data scientists and engineers to operationalize ML solutions across diverse business use cases.

You will develop CI/CD workflows for model training, testing, deployment, and monitoring, while implementing model monitoring and drift detection to ensure performance and reliability.