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AI Automation Engineer

TATA Consultancy Services LimitedDallas, TX🇺🇸United States

Why this role stands out

Accelerate your career at a global industry leader where you will spearhead cutting-edge AI automation projects while enjoying a highly competitive salary of up to $140,000 and the flexibility of a hybrid work schedule. This role is perfect for a tech-driven professional eager to refine machine learning models and innovate within a collaborative, growth-oriented team, so apply today to shape the future of autonomous systems.

Quick overview

Salary$100k - $140k/yr
SeniorityMid Senior
Work modeHybrid
LocationDallas, TX, United States
Machine LearningComputer VisionPython

Job description

AI Automation Engineer

Location: Dallas, TX

Experience: 6 - 10 Years

Job Description:
Must Have Technical/Functional Skills
• Demonstrated experience training, fine-tuning, and deploying machine learning models.
• Demonstrated experience generating and managing camera and LiDAR sensor datasets for
perception or machine learning applications.
• Experience designing data collection pipelines and ground truth generation workflows.
• Demonstrated experience in data annotation and quality assurance for autonomous systems or
computer vision projects.
• Demonstrated ability to define annotation guidelines, identify labeling defects, and deliver measurable
improvements in dataset accuracy.
• Strong Python skills and experience automating data validation, model evaluation, and machine
learning workflows.
• Understanding of computer vision datasets, model metrics, experiment tracking, version control, and
deployment practices.
Roles & Responsibilities
• Build automation for sensor-data ingestion, curation, sampling, annotation preparation, validation, and
release.
• Train, fine-tune, evaluate, and support deployment of machine learning models for computer vision or
perception use cases.
• Design camera and LiDAR data collection and ground truth generation pipelines.
• Define annotation guidelines, acceptance criteria, and automated checks for label completeness,
consistency, and accuracy.
• Analyze labeling defects and model-error patterns, then implement corrective actions and measurable
quality improvements.
• Create reporting for dataset health, annotation quality, model performance, and workflow throughput.
• Collaborate with data engineering, annotation operations, quality, and AI teams.
Generic Managerial Skills, If Any
Strong technical ownership, analytical problem solving, collaborative delivery, and clear communication
with cross-functional teams
Salary Range: $100,000 - $140,000 per year
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.

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