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Full-Time

Staff Machine Learning Scientist

Posted on 6/18/2024

Qarik Group

Qarik Group

51-200 employees

Cloud Native transition and development services

Consulting

Entry

Remote in USA

Category
Applied Machine Learning
Natural Language Processing (NLP)
AI & Machine Learning
Required Skills
Python
SQL
Google Cloud Platform
Requirements
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
  • Hands-on experience with design and implementation of applications using Large Language Models (LLM)
  • Experience with Python programming
  • Experience with Google PaLM, OpenAI GPT, LLaMA, or similar models
  • Experience with LangChain, LlamaIndex, or similar frameworks
  • Experience with Advanced prompt engineering
  • Experience with Retrieval Augmented Generation (RAG)
  • Experience with Vector databases (GCP Vector Search, ChromaDB, Pinecone, pgvector, or similar)
  • Experience in LLM model fine-tuning
  • Experience in Embedding model fine-tuning
  • Experience in Shell scripting
  • Experience with Google Cloud Vertex AI (AutoML, AI APIs, etc.)
  • Experience in Classic Machine Learning (ML frameworks, neural net models development, training, tuning, serving)
  • Experience in MLOps (ideally on GCP)
  • Experience in Data Engineering (including SQL)
Responsibilities
  • Develop applications on Google Cloud
  • Work with customers to understand their requirements
  • Suggest new ideas and features to the team
  • Implement new functionalities with a passion for quality
  • Implement best practices and state-of-the-art techniques for AI and LLMs
  • Work on research, experimentation, and implementation of novel methods

Qarik Group specializes in guiding companies through the transition from Data Center Native to Cloud Native operational models, enhancing application development speed and efficiency as a Google Cloud Premier Partner. Working at this company offers exposure to a team of seasoned experts known for accelerating Cloud Native practices, a testament to its commitment to advancing engineering productivity. This setting fosters a dynamic learning environment, making it a prime workplace for individuals eager to excel in cloud technology and adapt swiftly to market innovations.

Company Stage

N/A

Total Funding

N/A

Headquarters

New York, New York

Founded

2019

Growth & Insights
Headcount

6 month growth

1%

1 year growth

10%

2 year growth

22%