Specialist - Data Sciences

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Careers at LTM

Specialist - Data Sciences

• Job ID: 873570
• 5 - 8 Years
• 1 Opening
• Irving - Texas - USA

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Role description

This is a senior development role responsible for leading the design architecture and implementation of advanced applications and data driven solutions within the Technology team The role requires deep expertise in Python data engineering and Aigen AI including LLMs with a strong focus on delivering scalable innovative solutions to complex business problems The individual will drive end-to-end development efforts influence architecture decisions and lead engineering teams while ensuring alignment with enterprise standards and strategic objectives

Responsibilities

• Lead the design architecture and implementation of scalable Python based solutions for data processing analytics and AI driven applications
• Drive development and integration of advanced models including LLMs and GenAI capabilities to solve complex business use cases
• Provide technical leadership across the full lifecycle design development testing deployment and optimization
• Partner with global Technology teams across regions to ensure seamless delivery in a hybrid distributed model
• Define and enforce best practices aligned with Object-oriented Programming OOP and modern engineering standards
• Lead the resolution of high impact complex technical challenges through deep analysis of systems data and business processes
• Ensure application design aligns with enterprise architecture scalability and performance requirements
• Establish and implement coding testing including TDD debugging and deployment standards
• Provide strategic in-depth analysis to identify opportunities and deliver innovative forward-looking solutions
• Mentor and develop junior and midlevel engineers providing technical guidance and fostering strong engineering practices
• Drive adoption of AI developer tools and modern engineering frameworks to improve productivity and innovation
• Identify and manage risks ensuring compliance with governance regulatory standards and firm policies

Qualifications

• Bachelor's degree in computer science data science engineering or related field
• 7-10 years of experience developing scalable applications including AIML systems
• Strong expertise in Python and data libraries NumPy Pandas etc
• Proven experience with LLMs and GenAI frameworks and their practical application in enterprise solutions
• Experience designing and deploying machine learning systems across training inference and monitoring
• Strong understanding of system architecture distributed systems and data engineering concepts
• Demonstrated ability to lead technical initiatives and mentor teams
• Strong analytical problem-solving and decision-making skills
• Ability to work effectively across global cross functional teams
• Preferred Skills
• Experience with distributed computing frameworks eg Spark Hadoop Hive
• Knowledge of relational databases eg Oracle
• Background in financial services risk or banking environments
• Experience with AI developer tools eg Copilot
• Familiarity with cloud platforms and scalable architectures

Skills

Mandatory Skills : Agentic Framework

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: $ 83,912.00 to 128,080.00 per year

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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/

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