Data Engineer
IOC01 - Olympia Technology Park, India
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DXC Technology
DXC Technology helps global companies run their mission-critical systems and operations while modernizing IT, optimizing data architectures, and ensuring security and scalability across public, private and hybrid clouds.Job Description:
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.
Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Azure CI/CD Data pipelines Data visualization EC2 Engineering GCP Jupyter Lambda LangChain LLMs Machine Learning Matplotlib ML models MLOps NLP Pandas Pipelines Plotly Prompt engineering Python SageMaker Scikit-learn Seaborn SQL
Perks/benefits: Career development
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