Senior Specialist - Data Sciences

LTM; San Jose (CA); On-site; USD 150,000 - 230,000; Full time

Benefits offered by this job

Medical plan

Disability coverage

401(k) plan with company match

Life insurance

Paid time off

Parental leave

Job summary

LTIMindtree is seeking Applied Scientists in the United States (San Jose) to design and optimize Gen AI driven multimodal pipelines for detecting contextual moments in live video streams. The role emphasizes prompt engineering, multimodal inference, and model optimisation using Claude Nova Bedrock to maximise detection accuracy.

You will work on building pipelines for multimodal inference, video transcripts, and audio, with a focus on structured JSON metadata and integration into downstream

Qualifications

• Experience with prompt engineering for foundation models.
• Proficiency in multimodal AI systems (vision and NLP).
• Strong Python programming and data-pipeline skills.
• Experience with LLM inference and optimization.
• Familiarity with AWS cloud services (Bedrock, Lambda, S3) and analytics pipelines.

Responsibilities

• Design and optimize prompt engineering strategies for foundation models.
• Build pipelines for multimodal inference (video, transcript, audio).
• Detect and classify contextual moments and events.
• Develop reusable frameworks and moment-detection templates.
• Generate structured metadata in JSON for downstream systems.

Skills

Prompt engineering

Multimodal AI

LLM inference

Python programming

Data pipelines

Video analytics

Tools

AWS Lambda

Amazon S3

Bedrock

Job description

Job Overview

• We are hiring Applied Scientists to design build and optimise Gen AI driven multimodal pipelines for detecting contextual moments in live video streams
• This role focuses on prompt engineering multimodal inference and model optimisation using foundation models Claude Nova Bedrock to maximise detection accuracyKey

Role Description

• We are hiring Applied Scientists to design build and optimise Gen AI driven multimodal pipelines for detecting contextual moments in live video streams
• This role focuses on prompt engineering multimodal inference and model optimisation using foundation models Claude Nova Bedrock to maximise detection accuracyKey

Responsibilities

• Design and optimise prompt engineering strategies for foundation models
• Build pipelines for multimodal inference video transcript audio
• Detect and classify custom moments and contextual events
• Develop reusable frameworks for
• Moment detection templates
• Structured metadata generation
• Finetune prompts and configurations to improve

Accuracy

• Precision across moment types
• Integrate GenAI outputs into
• Structured JSON metadata
• Downstream systems and pipelines
• Work with AWS services such as
• Amazon Bedrock GenAI models
• Lambda S3 Kinesis data pipeline
• Collaborate with QA team for output validation and optimisation
• Support production rollout and continuous improvement

Required Skills Experience

Strong experience in

• Prompt engineering for foundation models Claude Nova etc
• Multimodal AI systems vision NLP

Handson experience with

• LLM inference and optimisation
• Structured outputs JSON generation and validation Strong Python programming and data pipeline skills
• Familiarity with AWS cloud stackBedrock Lambda S3 analytics pipeline
• Experience in working withVideo analytics media AI workflows Realtime or near realtime systems

Other Details

Variable Compensation: This position includes a bonus or variable payout component based on individual and organizational performance. Actual compensation within the range will be dependent upon the individual's skills, experience, performance and internal equity.

Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (“LTIM”):

Benefits And 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

The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation.

Disclaimer

The compensation and benefits information provided herein is accurate as of the date of this posting.

LTIMindtree

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.