Senior Specialist - Data Sciences

Senior Specialist

• Data Sciences LTM
• 3.7 Houston, TX Job Details $81,215
• $145,300 a year 19 hours ago Benefits Paid parental leave Paid holidays Disability insurance Health insurance Dental insurance Parental leave Vision insurance 401(k) matching Life insurance Qualifications AI models Continuous Delivery (CD) implementation Workflow management (operations management method) Generative models AI platforms (beyond public GPTs) SQL Production systems Machine learning cloud services Machine intelligence Model deployment Developing large-scale AI models DevOps automation Python MLOps Stakeholder relationship building Generative AI Stakeholder management Database software proficiency Full Job Description Role description Role Summary We are seeking a skilled GenAI Engineer to design build and operationalize nextgeneration AI solutions leveraging Large Language Models LLMs AI agents Retrieval Augmented Generation RAG architectures and scalable cloud platforms This role requires strong handson expertise across AI concepts model integration data pipelines and MLOpsCICD with the ability to translate business problems into productiongrade AI systems Key Responsibilities GenAI LLM Engineering Design develop and deploy LLMpowered applications using leading foundation models OpenAI Azure OpenAI Anthropic opensource LLMs Build LLMbased AI agents capable of multistep reasoning tool use orchestration and autonomous workflows Implement and optimize agent frameworks such as LangChain LlamaIndex Semantic Kernel AutoGen and CrewAI Engineer robust prompting strategies memory mechanisms and toolaugmented reasoning RAG and Knowledge Systems Design and implement Retrieval Augmented Generation RAG architectures Build embedding pipelines using vector databases such as FAISS Pinecone Weaviate Azure AI Search and Chroma Optimize document ingestion chunking strategies metadata management and reranking Ensure accuracy relevance and performance of AIgenerated responses Machine Learning Model Integration Apply practical ML concepts including classification clustering ranking and similarity search where applicable Integrate traditional ML models with LLMbased systems for hybrid AI solutions Evaluate finetune and test models using appropriate performance metrics Data Engineering and Pipelines Develop and maintain data pipelines for structured and unstructured data using Python and SQL Work with large datasets APIs and streaming and batch processing frameworks Ensure data quality lineage observability and governance within AI workflows MLOps CICD and Productionization Build CICD pipelines for AI and ML workloads including model versioning and automated testing Deploy AI services in containerized environments Docker Kubernetes Implement monitoring for model performance drift latency and cost Ensure security access control and compliance for AI systems Cloud Platform Engineering Design and deploy AI solutions on cloud platforms such as AWS Azure or GCP Leverage managed AIML services serverless components and scalable infrastructure Optimize cost performance and reliability of AI workloads Collaboration and Stakeholder Engagement Partner with product platform and business teams to translate requirements into AI solutions Document architectures design decisions and operational runbooks Provide guidance on GenAI best practices risks and responsible AI usage Required Skills and Experience Core Technical Skills Strong proficiency in Python and working knowledge of SQL Solid foundation in AIML concepts with handson experience deploying models Proven experience with LLMs AI agents and agent frameworks Handson expertise with RAG architectures and vector databases Experience implementing CICD pipelines for AI or ML systems Strong understanding of data pipelines and distributed data processing Experience working on at least one major cloud platform AWS Azure or GCP Preferred Good to Have Experience finetuning LLMs LoRA

PEFT RLHF

concepts Familiarity with evaluation frameworks for GenAI hallucination testing grounding latency benchmarks Exposure to governance security and compliance considerations for enterprise AI Background in regulated domains such as BFSI or healthcare Education Bachelors or masters degree in computer science engineering data science or a related field or equivalent practical experience What Success Looks Like Scalable reliable GenAI solutions deployed to production Wellarchitected AI agents delivering measurable business value Highquality explainable and maintainable AI systems Strong collaboration across engineering data and business teams

Skills Mandatory Skills :

AI/GenAI Research, GenAI

• LLMOps Other details 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 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.

Benefits Compensation range:

$81215 to $145,300.00 per year About LTM LTM is an AI-centric global technology services company and the Business Creativity partner to the world's largest and most disruptive enterprises. We bring human insights and intelligent systems together to help clients create greater value at the intersection of technology and domain expertise. Our capabilities span integrated operations, transformation, and business AI — enabling new ways of working, new productivity paradigms, and new roads to value. Together with over 87,000 employees across 40 countries and our global network of partners, LTM — a Larsen & Toubro company — owns business outcomes for our clients, helping them not just outperform the market, but to Outcreate it. Please also note that neither LTM nor any of its authorized recruitment agencies/partners charge any candidate registration fee or any other fees from talent (candidates) towards appearing for an interview or securing employment/internship. Candidates shall be solely responsible for verifying the credentials of any agency/consultant that claims to be working with LTM for recruitment. Please note that anyone who relies on the representations made by fraudulent employment agencies does so at their own risk, and LTM disclaims any liability in case of loss or damage suffered as a consequence of the same. Recruitment Fraud Alert

• https://www.

ltimindtree.com/recruitment-fraud-alert/