Senior Machine Learning Engineer (LLM)
- Full-time
Company Description
Our client is a leading tech company
Job Description
About Turing
Based in Palo Alto, California, Turing is the world’s first AI-powered tech services company. It
has reimagined tech services from the ground up with AI by offering AI-vetted and matched
talent, AI-accelerated development, and access to AI transformation experts who have built
many of the most iconic Silicon Valley companies.
Founded in 2018, the company has experienced tremendous growth with three million global
developers on its Talent Cloud and 900+ clients. Turing has received numerous awards,
including Forbes’s 2022 “One of America’s Best Startup Employers,” being ranked #1 in The
Information’s 2021 Annual List of most promising B2B Companies and Fast Company’s “Annual List of the World’s Most Innovative Companies.”
The company’s leadership team comprises both AI technologists from leading organizations
including Meta, Google, Microsoft, Apple, Amazon, Twitter, Stanford, Caltech, MIT as well as
tech consulting veterans from Accenture, Cognizant, Capgemini, McKinsey, Bain, and more.
About the Role
A leading company that is innovating the healthcare and consumer goods sectors is seeking a
Senior Machine Learning Engineer. The engineer will be instrumental in developing cutting-edge solutions that leverage large language models (LLMs) and other machine learning techniques.
Our team is committed to creating products that revolutionize how our customers interact with
healthcare and consumer products. This is an excellent opportunity for candidates to apply their expertise in a dynamic and challenging environment
Qualifications
Responsibilities
- Design and develop machine learning models and systems to enhance product capabilities.
- Collaborate with a diverse team of engineers to drive innovation and solve complex problems.
- Implement and optimize prompt engineering, RAG, and agents for LLMs and Generative AI.
- Utilize cloud services (Azure, GCP, AWS) to deploy and manage machine learning solutions.
- Communicate effectively with business stakeholders and subject matter experts to align technical solutions with business needs.
Required Skills:
- Bachelor’s/Master’s degree in Engineering, Computer Science, or a related field (or equivalent experience).
- Minimum of 5 years of relevant experience in machine learning engineering.
- At least 3 years of experience in building and deploying machine learning models and systems.
- 6+ months of hands-on experience with LLMs and Generative AI.
- Proficiency in programming with Python, Langchain, and SQL.
- Strong understanding of cloud services, including Azure, GCP, or AWS.
- Excellent communication skills for effective collaboration with business stakeholders.
Additional Information
- Total Years Of exp- 5+ years experience mandatory
- Opportunity- Full Time
- Notice Period: 2 weeks only
- Engagement length - 6-12 Months
- Max Hourly rate: $34 USD
- Location: Open to all Geos
- Exclude Location- Ofac, United States, Canada, China, Ethiopia