Senior Specialist - Data Sciences
Key Responsibilities
- Validate AIgenerated outputs against labelled datasets and expected outcomes
- Perform content validation for native moments detection across video streams
- Design and implement automated testing frameworks Pythonbased
- Build validation harness for JSON parsing and comparison
- Structured output validation using defined schemas
- Conduct multimodal validation video audio transcript outputs
- Execute system integration and endtoend testing
- Track accuracy metrics defect logging and root cause analysis
- Automate regression and validation pipelines across datasets
- Collaborate with Applied Scientists to validate LLM and GenAI outputs
- Work within AWS environment using services such as S3 data storage Lambda processing CloudWatch monitoring
Required Skills
- Experience Strong Python scripting for automation and testing
- Experience in AIML model validation and QA workflows
- Handson withJSON parsing schema comparisonData validation pipelines
- Experience in testingMultimodal AI systems vision NLP audio LLM outputs and generative AI pipelines
- Good understanding ofStructured output validation AI accuracy evaluation techniques
- Familiarity with AWS cloud environment S3 Lambda loggingmonitoring
- Experience with mediavideo content analysis workflows preferred
- Ability to handle mixed manual automated testing approaches
Other details
Actual compensation within the range will be dependent upon the individual's skills, experience, performance and internal equity.
Benefits/perks
- Comprehensive Medical Plan Covering Medical, Dental, Vision Short Term and Long-Term Disability Coverage
- 401(k) Plan with Company match
- Life Insurance
- Vacation Time, Sick Leave, Paid Holidays
- Paid Paternity and Maternity Leave
Disclaimer
The compensation and benefits information provided herein is accurate as of the date of this posting. LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.