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Generative AI Engineer

This role is for a Generative AI Engineer in SFO, CA, lasting 12 months with potential extension. Requires 10+ years of experience, strong skills in ML engineering, programming in Java/Python, and expertise in distributed computing, Kubernetes, and cloud architecture.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
February 21, 2025
🕒 - Project duration
More than 6 months
🏝️ - Location type
Hybrid
📄 - Contract type
W2 Contractor
🔒 - Security clearance
Unknown
📍 - Location detailed
San Francisco Bay Area
🧠 - Skills detailed
#SageMaker #Azure #ML (Machine Learning) #Java #Terraform #Kubernetes #Programming #Spark (Apache Spark) #Python #Databases #Cloud #Lambda (AWS Lambda) #S3 (Amazon Simple Storage Service) #AI (Artificial Intelligence) #Distributed Computing #AWS (Amazon Web Services)
Role description
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Hi,

This is Srini from Pronix Inc!!

Role: AI/ML Engineer

Exp: 10+ Yrs

Location: SFO, CA (Hybrid Role)

Duration: 12 Months+ [Possible to be extended another 24 Months]

W2 Only!!

Required Skills and Qualifications:
• 5+ years of ML engineering, software design, development experience at a large scale.
• Strong software development skills in his or her chosen programming language, but ready and willing to learn and program in Java and Python.
• Broad understanding of distributed computing frameworks like Ray and Spark
• Demonstrable understanding of and hands-on experience in supervised and unsupervised ML and AI
• Demonstrable understanding of and hands-on experience in building Retrieval Augmented Generation applications, from AI orchestration frameworks and embeddings to vector databases.
• Demonstrable experience in Kubernetes and Terraform
• Experience with Sagemaker a plus
• Broad understanding of cloud architecture tools and services, such as S3, EMR, Kubernetes, Lambda functions. Experience in AWS and Azure is highly desirable.