Greetings
position 1: Jr Python Developer ( ML )
Location: Phoenix AZ ( onsite )
Duration: 6 months COntract
Interview: 20 mins screening
2nd round : Inperson
Need Local Candidates
Top Skills Details
Required Experience
1. 2 years of Python Engineering: building services exposing ML models reprocessing and post-processing models
2. 1 years of API engineering
3. CI/CD tools: Kubernetes/docker how to package models deployments
Secondary Skills - Nice to Haves
Job Description
Projects Supporting: This person will be joining the Enterprise AI/ML org specifically the AI Services team. This team helps use and optimize AI & ML for the document process (recognizing classifying extracting data etc).
Day to Day Duties: The Machine Learning engineer will be responsible for deploying models ensuring models are available to multiple teams that will be calling services understanding what models are & what a model life cycle looks (testing validation etc). Will be working with LLM but not training an LLM from scratch or fine tuning one. 75% of role will be AI/ML engineering & 25% model building
Greetings position 1: Jr Python Developer ( ML ) Location: Phoenix AZ ( onsite ) Duration: 6 months COntract Interview: 20 mins screening 2nd round : Inperson Need Local Candidates Top Skills Details Required Experience 1. 2 years of Python Engineering: building services exposing M...
Greetings
position 1: Jr Python Developer ( ML )
Location: Phoenix AZ ( onsite )
Duration: 6 months COntract
Interview: 20 mins screening
2nd round : Inperson
Need Local Candidates
Top Skills Details
Required Experience
1. 2 years of Python Engineering: building services exposing ML models reprocessing and post-processing models
2. 1 years of API engineering
3. CI/CD tools: Kubernetes/docker how to package models deployments
Secondary Skills - Nice to Haves
Job Description
Projects Supporting: This person will be joining the Enterprise AI/ML org specifically the AI Services team. This team helps use and optimize AI & ML for the document process (recognizing classifying extracting data etc).
Day to Day Duties: The Machine Learning engineer will be responsible for deploying models ensuring models are available to multiple teams that will be calling services understanding what models are & what a model life cycle looks (testing validation etc). Will be working with LLM but not training an LLM from scratch or fine tuning one. 75% of role will be AI/ML engineering & 25% model building
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