Data/Machine Learning Ops Engineer
Role details
Job location
Tech stack
Job description
Are you passionate about deploying and scaling machine learning solutions in production environments? Do you thrive in a fast-paced, tech-driven setting? We're looking for a talented ML Ops Engineer to join our growing teams., * Work on impactful AI projects with real-world applications
- Be part of a collaborative and forward-thinking team
- Access to continuous learning and development opportunities
- Flexible working arrangements and a supportive work culture
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).
- Excellent problem-solving skills and ability to work independently or in a team.
- 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., * 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.
- Demonstrated relevant industry experience, including time spent in a similar role.
- Proficiencies in data cleansing, exploratory data analysis, and data visualization
- Continuous learner that stays abreast with industry knowledge and technology
Benefits & conditions
- Competitive compensation
- Pension scheme
- DXC Select - Our comprehensive benefits package (includes private health/medical insurance, , gym membership and more)
- Perks at Work (discounts on technology, groceries, travel and more)
- DXC incentives (recognition tools, employee lunches, regular social events etc)
Still reading? We'd love to hear from you - apply today.
At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We're committed to fostering an inclusive environment where everyone can thrive.