Senior Specialist - Data Sciences

Responsibilities

• 3-5 years of professional experience in an AI or Machine Learning engineering role
• Handson experience with LLM frameworks and tools like Lang Chain Llama Index etc
• Expertise in Python and its data science ecosystem eg Pandas Num Py Scikitlearn
• Proven experience with one or more deep learning frameworks such as Tensor Flow or Py Torch
• Handson experience with a major cloud platform AWS Azure or GCP for training and deploying machine learning models GCP Preferred
• Experience with generative AI and Large Language Models LLMs
• Proficiency in data analysis statistical modeling and machine learning theory
• Experience with containerization technologies eg Docker and deploying models as APIs
• Excellent communication skills and a proven ability to collaborate effectively in a team environment

• Experience deploying models using API frameworks such as FastAPI or Flask
• Knowledge of MLOps principles and tools for CICD model monitoring and lifecycle management
• A portfolio of projects or contributions to opensource AIML libraries

• 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
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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.