Data Scientist

Role Description

Job Title: Python GEN AI Engineer

Work Location: Tampa, Florida

• 6 years of relevant experience in an Engineering Python Development Data Architecture or Data Pipeline role
• Experience working in Financial Services or a large complex and global environment
• Experience with data engineering and data analysis using Python AI LLM modules
• Develop foundational components and mature technology capabilities for data engineering in AI and LLMs
• Proficiency in programming languages such as Python; while Python remains foundational a growing portion of development leverages GenAI coding tools
• Work in a fast-paced environment tackling cutting edge problems by constantly testing and learning
• Understanding of large language models, transformers, agentic frameworks

• 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 such as an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation.

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.