Data Engineer

Key Responsibilities

• Develop, train, and evaluate machine learning models using Python, scikit-learn, and related libraries.
• Design and build robust data pipelines and workflows leveraging Pandas, SQL, and Kedro.
• Create clear, reproducible analysis and reports in Jupyter Notebooks.
• Integrate machine learning models and data pipelines into production environments on AWS.
• Work with Langchain to build applications leveraging large language models and natural language processing workflows.
• Collaborate closely with data engineers, product managers, and business stakeholders to understand requirements and deliver impactful solutions.
• Optimize and monitor model performance in production and drive continuous improvement.
• Follow best practices for code quality, version control, and documentation.

Required Skills and Experience

• 7+ years of professional experience in Data Science, Machine Learning, or a related field.
• Strong proficiency in Python and machine learning frameworks, especially scikit-learn.
• Deep experience working with data manipulation and analysis tools such as Pandas and SQL.
• Hands-on experience creating and sharing analyses in Jupyter Notebooks.
• Solid understanding of cloud services, particularly AWS (S3, EC2, Lambda, SageMaker, etc.).
• Experience with Kedro for pipeline development and reproducibility.
• Familiarity with Langchain and building applications leveraging LLMs is a strong plus.
• Ability to communicate complex technical concepts clearly to non-technical audiences.
• Strong problem-solving skills and a collaborative mindset.

Nice to Have

• Experience with MLOps tools and practices (model monitoring, CI/CD pipelines for ML).
• Exposure to other cloud platforms (GCP, Azure).
• Knowledge of data visualization libraries (e.g., Matplotlib, Seaborn, Plotly).
• Familiarity with modern LLM ecosystems and prompt engineering.

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.