Senior Data and Knowledge Engineer

  • $100,000–$120,000 Per Year

Highlights

Stay up-to-date with the latest advancements in data science, machine learning, and aerospace technologies to drive innovation and maintain a competitive edge. Collaborate with subject matter experts to understand engineering domain knowledge and incorporate it into data analysis and modeling efforts.

Numbers & Facts

LocationPA
Salary$100,000–$120,000 Per Year

Description

Role: Engineer

Required Skills: NoSQL | SQL

Qualification: BACHELOR OF COMPUTER SCIENCE

Experience: 9 - 12 Years

Function: TECHNOLOGY

Apply By: 2026-11-28

Must Have Technical/Functional Skills

  • 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

Roles & Responsibilities

  • 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.

TCS Employee Benefits Summary:

Discretionary Annual Incentive.

Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.

Family Support: Maternal & Parental Leaves.

Insurance Options: Auto & Home Insurance, Identity Theft Protection.

Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.

Time Off: Vacation, Time Off, Sick Leave & Holidays.

Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

Salary Range $100,000 - $120,000 a year

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