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# Senior Data And Knowledge Engineer

- **Company:** Tata Consultancy Services Limited
- **Location:** Oaks, PA, United States
- **Experience:** Expert
- **Salary:** $100,000.0 - $120,000.0
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Data Analysis, Databases, Data Security, Data Visualization, Machine Learning, Natural Language Processing, NoSQL, Tensorflow, Software Engineering, SQL Databases, Cloud Platform System, Pytorch, Large Language Models, Deep Learning, Generative AI, Information Technology, Data Analytics, Build Tools, Machine Learning Operations
- **Published:** October 28, 2026
- **Apply:** https://jobs.localjobnetwork.com/apply/add/88725705/1

## About the Role

* 3+ years of experience in natural language processing
 * 3+ years of experience in SQL or NoSQL Database Languages
 * Proficient with data visualization tools
 * Proficient in deep learning frameworks such as PyTorch and TensorFlow
 * Experience with generative AI models, including LLMs, for building knowledge-driven solutions.
 * Experience integrating models into customer environments, both on-prem and in cloud environments
 * Experience working in an agile software development team
 * Experience with MLOps and MLOps tool stack, BACHELOR OF COMPUTER SCIENCE

## Description

* Collaborate with cross-functional teams to identify and define data requirements, data collection methods, and data quality standards.
 * Build systems that enable conducting data analysis and exploration to identify patterns, trends, and insights that drive decision-making
 * Provide technical leadership to team of data scientists
 * Implement and deploy machine learning models, working closely with software engineering teams to integrate into customer environments.
 * Collaborate with subject matter experts to understand engineering domain knowledge and incorporate it into data analysis and modeling efforts.
 * Continuously evaluate and improve existing models and algorithms to enhance their accuracy, efficiency, and scalability.
 * Ensure data security, privacy, and compliance with relevant regulations and policies throughout the data analysis lifecycle.
 * Stay up-to-date with the latest advancements in data science, machine learning, and aerospace technologies to drive innovation and maintain a competitive edge.
 * Communicate findings, insights, and recommendations to technical and non-technical
 * stakeholders through clear and concise reports, presentations, and visualizations.
 * Mentor and provide guidance to junior data scientists
 * Contribute to the development of best practices and standards for data science within the organization.