Data Scientist

Job Summary:

Dexian is seeking a Machine Learning Engineer/AI Engineer for an opportunity with a client located in San Francisco, CA.

Responsibilities:

• Build, modernize and maintain the AI/ML Platform & related frameworks / solutions
• Participate and contribute to architecture & design reviews
• Build/Deploy AI/ML platform in Azure with open-source applications (Argo, Seldon) and/or cloud/SaaS solutions (Azure ML, Databricks, Truera)
• You will design, develop, test, deploy, and maintain distributed & GPU-enabled Machine Learning Pipelines using K8s/AKS based Argo Workflow Orchestration solutions, while collaborating with Data Scientists
• Enable/Support platform to do distributed data processing using Apache Spark and other distributed / scale technologies
• Build ETL pipelines, ingress / egress methodologies in context to AIML use-cases
• Build highly scalable backend REST APIs for metadata management and other misc. business needs
• Deploy Application in Azure Kubernetes Service using GitLab CICD, Jenkins, Docker, Kubectl, Helm, Terraform and Manifest
• Experience in branching, tagging, and maintaining the versions across different environments in GitLab
• Review code developed by other developers and provide feedback to ensure best practices (e.g., design patterns, accuracy, testability, efficiency etc.)
• Work with relevant engineering, operations, business lines, and infrastructure groups to ensure effective architectures and designs and communicate findings clearly to technical and non-technical partners
• Perform functional, benchmark & performance testing and tuning to achieve performant AIML workflow(s), interactive notebook user experiences, and pipelines
• Assess, design & optimize the resources capacities for ML based resource (GPU) intensive workloads
• Communicate processes and results of the application with all parties involved in the product team, like engineers, product owner, scrum master and third-party vendors
  

Requirements:

• ML Platform / ML Engineering => 8 out of 10 experience
• Platform Development / MicroServices / Arch => 7/10 experience
• Docker/Containers/Kubernetes => 6/10 experience
• Data Science / Machine Learning => 5/10 experience
• Azure - Highly preferred to have the experience
• Python - must have
• 6 - 8 years of experience in software development and with data structures/algorithms
• Good understanding of distributed system like Spark and Kafka - Good to Have => 5/10
• Good understanding of security - TLS and RBAC
• ML tools experience such as Argoworkflow/ AzureML /MLFlow/Databricks/etc. - Deployed & worked on some of these tools
• AI tools experience such as Generative AI, ChatGPT, MetaGPT, LLM, Llama 2 etc - Deployed & worked on some of these tools
• Senior experience. Make sure candidates are being honest about their years of experience in AI/ML. Minimum and recent years would be 4-5 coming from a development background introducing AI/ML features.
• Recent tools experience
• E2E platform experience from start to beginning
  

Desired Skills and Experience

8-10 years of experience Machine Learning Engineering
Kubernetes, Azure, Python, Data Science/ML
Microservices
GenAI
US Citizen or Green Card - W2 Only

Dexian is a leading provider of staffing, IT, and workforce solutions with over 12,000 employees and 70 locations worldwide. As one of the largest IT staffing companies and the 2nd largest minority-owned staffing company in the U.S., Dexian was formed in 2023 through the merger of DISYS and Signature Consultants. Combining the best elements of its core companies, Dexian's platform connects talent, technology, and organizations to produce game-changing results that help everyone achieve their ambitions and goals.

Dexian's brands include Dexian DISYS, Dexian Signature Consultants, Dexian Government Solutions, Dexian Talent Development and Dexian IT Solutions. Visit https://dexian.com/ to learn more.

Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.