DATA & AI - Ops - Engineer at DXC Technology

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

TechnologyIndustries

Requirements

7+ years of experience in Data/AI Engineering, with 3–5 years in MLOps
Strong programming skills in Python, PySpark, SQL
Expertise in ML frameworks: scikit-learn, TensorFlow, PyTorch
Experience with model serialization formats (pickle, ONNX, TorchScript)
Hands-on with CI/CD tools: GitHub Actions, MLflow CI/CD, Kubeflow Pipelines, Azure ML Pipelines
Experience deploying ML models on Azure ML, AWS SageMaker, and Vertex AI
Proficiency in Docker and containerized deployments

Responsibilities

Implement and manage end-to-end ML pipelines using Azure ML Pipelines, Kubeflow Pipelines, and MLflow
Support model development with scikit-learn, TensorFlow, and PyTorch, including training, tuning, and serialization (pickle, ONNX, TorchScript)
Deploy models into production using Docker, Azure ML, AWS SageMaker, and Vertex AI with scalable serving frameworks
Develop CI/CD pipelines for ML workflows using GitHub Actions, MLflow CI/CD integrations, and container registries
Implement continuous training (CT), continuous integration (CI), and continuous delivery (CD) practices for ML systems
Automate data ingestion, preprocessing, and feature pipelines with PySpark and SQL
Monitor model performance, drift, and data quality in production environments
Implement logging, alerting, and observability for ML models and pipelines
Optimize inference performance with ONNX, TorchScript, and TensorRT (optional)
Partner with Data Scientists, Data Engineers, and DevOps teams to integrate ML models into business workflows
Ensure compliance with data governance, security, and regulatory policies
Contribute to the standardization of MLOps frameworks, best practices, and reusable components

Skills

Python

PySpark

SQL

Azure ML

AWS SageMaker

Google Vertex AI

scikit-learn

TensorFlow

PyTorch

Kubeflow Pipelines

MLflow

Docker

GitHub Actions

CI/CD

ONNX

TorchScript

DXC Technology

IT services for enterprise modernization and management

About DXC Technology

DXC Technology provides IT services to large enterprises, focusing on modernizing their critical systems and operations. The company uses the Enterprise Technology Stack to enhance IT infrastructure, optimize data architectures, and ensure security across various cloud environments, including public, private, and hybrid. DXC operates on a contractual basis, offering consulting, system integration, and managed services to help clients improve their IT operations. What sets DXC apart from competitors is its strong commitment to innovation, sustainability, and corporate responsibility, which has earned it recognition as one of the Most Responsible Companies. The goal of DXC Technology is to be a trusted partner for enterprises, helping them achieve scalable and secure IT solutions while promoting inclusion and diversity within its workforce.

McLean, VirginiaHeadquarters

2017Year Founded

$14.6MTotal Funding

IPOCompany Stage

Consulting, Enterprise SoftwareIndustries

10,001+Employees

Risks

Emerging IT service providers offer cost-effective solutions, threatening DXC's market share.

Rapid technological changes may outpace DXC's innovation, risking service obsolescence.

Economic downturns could reduce IT spending, impacting DXC's long-term contract revenue.

Differentiation

DXC Technology is a Fortune 500 global IT services leader.

The company specializes in modernizing mission-critical systems for large enterprises.

DXC's Enterprise Technology Stack ensures security and scalability across cloud environments.

Upsides

DXC is recognized as a leader in the 2024 Magic Quadrant for Outsourced Digital Workplace Services.

The Quercus AI platform collaboration with Ferrovial and Microsoft enhances DXC's innovation capabilities.

DXC's role in transforming Italy's healthcare sector showcases its expertise in digital transformation.

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