Specialist - Data Sciences

Specialist

• Data Sciences LTM
• 3.7 Jersey City, NJ Job Details $90,000
• $125,000 a year 1 day ago Benefits Paid parental leave Paid holidays Disability insurance Health insurance Dental insurance Parental leave Vision insurance 401(k) matching Life insurance Qualifications Computer science Azure Computer Science Software coding Enterprise software Engineering Data structures Spark Google Cloud Platform Scalable systems Master's degree Databases Algorithms Microservices Team development AWS Spark implementation Bachelor's degree Model deployment Mentoring User acceptance testing APIs Scalability Master's degree in computer science Strategic communications Business requirements Senior level AI Bachelor's degree in computer science Team motivation (leadership skill) Project stakeholder communication Python Software architecture MLOps Generative AI Stakeholder management Design patterns Full Job Description Role description Job Role•GenAi Engineer Job Location •Edison, NJ Job Description•Key Responsibilities 1 Engineering ProductionGrade Development 40 Handson Coding Lead the development of productionready systems with expertlevel proficiency in Python or PySpark Solution Engineering Apply advanced data structures algorithms and software design patterns to solve realworld financial services challenges Scalability Performance Architect highscale solutions with a big picture approach ensuring system latency and infrastructure costs are optimized to drive tangible business value Lifecycle Management Own the transition from MVP to live solutions managing change control and enterpriselevel AI integration 2 Advanced AI Implementation RD 40 Generative AI RAG Design and deploy sophisticated RAG pipelines and Transformerbased architecture Orchestrate LLMasaService eg GPT4 GeminiVertex AI alongside local SLMs eg Llama 3 Mixtral Agentic Workflows Build autonomous agents using frameworks such as LangGraph preferred CrewAI or AutoGen to automate complex multistep business logic MLOps Governance Take full ownership of the model lifecycle including finetuning LLMSLM monitoring model drift groundtruth validation and ensuring compliance with Model Risk Management MRM standards UAT Validation Drive User Acceptance Testing UAT focused on specific business outcomes and accuracy benchmarks 3 Leadership Solution Orchestration 20 Stakeholder Management Navigate complex client ecosystems acting as the primary technical liaison for both Csuite stakeholders and engineering teams Strategic Communication Translate highlevel business requirements into sustainable highvalue generative AI solutions CoE Liaison Partner with the BFS AI CoE to bring cuttingedge RD and incubated solutions and active participation for multiple client AI solutions demo and delivery assurance to global clients Team Mentorship Lead and inspire a highperforming technical team fostering a positive solution mind and an initiativetaking culture Technical Qualifications Education bachelors or masters degree in computer science Engineering or a related quantitative field Experience 10 years Enterprise Application development Proven track record of delivering AIML solutions in a production environment specifically within the BFSI or highly regulated sectors Tooling Deep expertise in Python LangGraphLangChain Vector Databases and cloudnative AI stacks Azure AI AWS Bedrock or GCP Vertex AI Architecture Strong foundation in microservices API design and enterprise security protocols

Skills Mandatory Skills :

GenAI

• LLMOps Good to

Have Skills :

Python Other details 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:

$90,000.00 to $125,000.00 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/