Senior Machine Learning Engineer at APS leading MLOps initiatives and collaborating across teams. Designing and implementing scalable machine learning solutions with a focus on real - time decision - making.
About the role
- Machine Learning Engineer designing and deploying machine learning models for DXC Technology. Collaborating with data scientists and optimizing solutions for impactful results.
Responsibilities
- Design, develop, and deploy machine learning models using modern frameworks and libraries
- Collaborate closely with data scientists, engineers, and stakeholders to turn ideas into impactful solutions
- Optimize and deploy models with tools like TensorFlow Serving, TorchServe, ONNX, and TensorRT
- Build and manage ML pipelines using MLflow, Kubeflow, and Azure ML Pipelines
- Work with large-scale data using PySpark and integrate ML solutions into production environments
- Monitor and improve model performance to ensure accuracy and efficiency
- Contribute to team knowledge by mentoring and supporting colleagues
- Bring creativity and fresh perspectives to problem-solving and technical solutions
Requirements
- Strong Python skills and experience with ML libraries (pandas, NumPy, scikit-learn, XGBoost, LightGBM, CatBoost, TensorFlow, Keras, PyTorch)
- Familiarity with model deployment and serving tools (ONNX, TensorRT, TensorFlow Serving, TorchServe)
- Experience with ML lifecycle tools (MLflow, Kubeflow, Azure ML Pipelines)
- Knowledge of distributed data processing (PySpark) and software engineering principles (Git)
- Experience in data cleansing, exploratory data analysis, and visualisation
Benefits
- Professional development opportunities
- Flexibility to support wellbeing
- Supportive, accessible environment
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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