Senior Specialist - Data Sciences

LTM; Houston (TX); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Comprehensive Medical Plan

Disability Coverage

401(k) Plan with Company match

Life Insurance

Vacation Time & Holidays

Parental Leave

Job summary

LTIMindtree in Houston is seeking an AI Engineer to drive development and deployment of AI/ML solutions. You will leverage Python, Pandas, NumPy and ML theory to build robust models and pipelines.

The role requires hands-on work with LangChain, LlamaIndex, TensorFlow or PyTorch, cloud training on AWS/Azure/GCP, containerization with Docker, and API deployment with FastAPI or Flask. Strong collaboration and communication are essential.

Qualifications

• 3-5 years of professional experience in an AI or Machine Learning engineering role.
• Hands-on experience with LLM frameworks and tools like LangChain, LlamaIndex.
• Expertise in Python and its data science ecosystem (Pandas, NumPy, Scikit-learn).
• Proven experience with deep learning frameworks (TensorFlow or PyTorch).
• Hands-on experience with major cloud platforms (AWS, Azure or GCP) for training and deploying models (GCP preferred).
• Experience with generative AI and Large Language Models (LLMs).
• Proficiency in data analysis, statistics, and ML theory.
• Experience with Docker and deploying models as APIs.

Skills

Python

Pandas

NumPy

Scikit-learn

TensorFlow/PyTorch

LangChain

LlamaIndex

Cloud AWS/Azure/GCP

LLMs

Docker

Kubernetes

FastAPI/Flask

Git

Education

Bachelors/Masters in CS/Math/Eng

Tools

Docker

Kubernetes

FastAPI

Flask

Git

Job description

Required Skills Experience

3-5 years of professional experience in an AI or Machine Learning engineering role

Role Description

AI Engineer

Required Skills Experience

• 3-5 years of professional experience in an AI or Machine Learning engineering role
• Handson experience with LLM frameworks and tools like LangChain LlamaIndex etc
• Expertise in Python and its data science ecosystem eg Pandas NumPy Scikitlearn
• Proven experience with one or more deep learning frameworks such as TensorFlow or PyTorch
• 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

Preferred Qualifications

• 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

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.