Senior Specialist - Data Sciences

LTM; Los Angeles (CA); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Comprehensive Medical Plan

401(k) Plan with Company match

Paid Paternity and Maternity Leave

Life Insurance

Vacation Time, Sick Leave, Paid-Holy

Paid Paternity and Maternity Leave

Job summary

A technology firm in Los Angeles is seeking an AI/Machine Learning Engineer with 3-5 years of experience. The ideal candidate will have proven expertise in Python and LLM frameworks along with experience deploying models on cloud platforms like GCP. A strong foundation in data analysis and machine learning theory is essential. This position offers a comprehensive benefits package including medical coverage and retirement plans.

Qualifications

• 3-5 years of professional experience in AI or Machine Learning engineering.
• Hands-on experience with LLM frameworks and tools.
• Proven experience with deep learning frameworks.
• Experience with TensorFlow or PyTorch.
• Experience with cloud platforms (AWS/Azure/GCP) for training/deploying models.
• Experience with generative AI and LLMs.
• Strong data analysis, statistical modeling and ML theory knowledge.
• Experience with containerization (Docker) and deploying models as APIs.
• Excellent communication and collaboration skills.

Responsibilities

• Collaborate effectively in a team environment.
• Conduct data analysis and statistical modeling.
• Deploy machine learning models as APIs.
• Train and deploy models on cloud platforms (AWS/Azure/GCP).
• Ensure API deployment and containerization of models.
• Collaborate with cross-functional teams to deliver AI solutions.

Skills

Python expertise

Experience with LLM frameworks

Deep learning frameworks (TensorFlow, PyTorch)

Cloud platforms (AWS, Azure, GCP)

Containerization (Docker)

Communication skills

scikit-learn

TensorFlow

PyTorch

AWS

Azure

GCP

LLMs

Data analysis

Statistical modeling

ML theory

Docker

API deployment

Communication

Tools

Pandas

NumPy

Scikit-learn

FastAPI

Flask

Job description

Responsibilities

• 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

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.