Sr. ML Engineer

Overview

Hybrid
$0+
Full Time

Skills

ML Engineer
NLP
AIOPs
LLMS
Python
Java

Job Details

Hi All,

Greetings from Criticalriver..!!

Please find the below details of the open position for CR fulltime.

Position Title: Sr. ML Engineer
Location: Pleasanton CA (Hybrid)
Employment Type: Full-time

Years of Experience: 6-10 Years

Job Description: We are seeking a Senior ML Engineer with a strong knowledge in LLM< Prompt Engineering, VectorDB, LLMOp and MLOps to join our team. The ideal candidate will have extensive experience in deep learning, GenAI (LLM), natural language processing (NLP), AIOps (LLMOPs) and a strong background in prompt engineering techniques.

Responsibilities:

  • Design, develop, deploy and optimize various ML Algorithms for different industry problems.
  • Design, develop, deploy and optimize LLMs for various NLP and business applications
  • Create and refine conversation prompts to improve AI system interactions
  • Collaborate with cross-functional teams to integrate LLMs and prompts into AI applications
  • Conduct research to enhance model performance and user experience
  • Analyze data to identify patterns and trends in user interactions and model performance
  • Stay up-to-date with the latest advancements in deep learning, NLP, and LLMs
  • Mentor junior engineers and provide technical guidance
  • Participate in code reviews and provide constructive feedback to team members
  • Document processes, research findings, and model development
  • Other duties as assigned

Requirements:

  • Bachelor's degree in computer science, engineering, or a related field
  • Min. 6 yrs of experience in ML Product development and launching for large enterprises.
  • Min 4+ years of experience in deep learning and NLP, AIOps with a focus on LLMs
  • Proficiency in programming languages such as Python, Java, or C++ with Min 6 yrs of Experience.
  • Experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras
  • Strong understanding of NLP libraries and tools such as NLTK, spaCy, or Hugging Face
  • Demonstrated experience in prompt engineering and optimizing LLMs
  • Strong analytical and problem-solving skills
  • Excellent communication and interpersonal skills
  • Ability to work independently and as part of a team
  • Experience with cloud platforms such as AWS, Google Cloud Platform, NVidia or Azure is a plus
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.