OPS Engineer at DXC Technology

Erskine, Scotland, United Kingdom

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Artificial IntelligenceIndustries

Requirements

Strong proficiency in Python and ML libraries such as: pandas, NumPy, scikit-learn, XGBoost, LightGBM, CatBoost, TensorFlow, Keras, PyTorch
Experience with model deployment and serving tools: ONNX, TensorRT, TensorFlow Serving, TorchServe
Familiarity with ML lifecycle tools: MLflow, Kubeflow, Azure ML Pipelines
Experience working with distributed data processing using PySpark
Solid understanding of software engineering principles and version control (e.g., Git)
Proven experience in MLOps or DevOps roles within machine learning environments
Strong programming skills in Python, with hands-on experience in PySpark and SQL
Deep understanding of ML lifecycle management and CI/CD best practices
Familiarity with cloud-native ML platforms and scalable deployment strategies
Excellent problem-solving skills and ability to work independently or in a team
Typically, 5+ years of relevant work experience in industry, with a minimum of 2+ years in a similar role
Proficiencies in data cleansing, exploratory data analysis, and data visualization
Continuous learner that stays abreast with industry knowledge and technology

Responsibilities

Collaborate with cross-functional teams to integrate AI solutions into scalable products
Ensure best practices in data engineering and contribute to architectural decisions
Support senior team members in identifying and addressing data science opportunities

Skills

Python

PySpark

SQL

pandas

NumPy

scikit-learn

XGBoost

LightGBM

CatBoost

TensorFlow

Keras

PyTorch

ONNX

TensorRT

TensorFlow Serving

TorchServe

MLflow

Kubeflow

Azure ML

Git

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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