Jobs · Engineering · California

Senior Specialist - Data Sciences

LTM · Los Angeles, CA · 3 mo ago
On-siteEngineeringFull-time

About the role

This role is responsible for developing and deploying advanced machine learning models using cutting-edge frameworks and tools.

Responsibilities

  • Develop and maintain large-scale machine learning models using LLM frameworks and tools.
  • Collaborate with cross-functional teams to design and implement machine learning solutions.
  • Train and deploy machine learning models on AWS, Azure, or GCP.
  • Contribute to open-source AI libraries and contribute to the development of new AI models.
  • Ensure compliance with MLOps principles and tools for CI/CD, model monitoring, and lifecycle management.

Requirements

  • 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 (Pandas, NumPy, Scikit-learn).
  • Proven experience with deep learning frameworks like TensorFlow or PyTorch.
  • Experience with a major cloud platform (AWS, Azure, or GCP) for training and deploying machine learning models.
  • Preferred: Experience with generative AI and Large Language Models (LLMs).
  • Proficiency in data analysis, statistical modeling, and machine learning theory.
  • Experience with containerization technologies (Docker) and deploying models as APIs.
  • Excellent communication skills and a proven ability to collaborate effectively in a team environment.

Qualifications

  • Experience deploying models using API frameworks like FastAPI or Flask.
  • Preferred: Portfolio of projects or contributions to open-source AIML libraries.

Skills

  • Python programming.
  • LLM frameworks and tools.
  • Deep learning frameworks.
  • Cloud platforms (AWS, Azure, GCP).
  • Generative AI and Large Language Models (LLMs).
  • Data analysis and statistical modeling.
  • MLOps principles and tools.
  • Containerization technologies (Docker).
  • API frameworks (FastAPI, Flask).
  • Open-source contribution.

Benefits

  • Comprehensive Medical Plan.
  • Dental and Vision coverage.
  • Short and Long-Term Disability coverage.
  • 401(k) plan with company match.
  • Life insurance.
  • Vacation time, sick leave, paid holidays.
  • Paid paternity and maternity leave.

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