Hiring - Machine Learning Engineer/AI Engineer - San Francisco, CA

Job Title: Machine Learning Engineer/AI Engineer

Job Location: San Francisco, CA, USA, 94101

Job Type: W2

Estimated Duration (In Weeks): 26

Skills/Attributes: Apache Spark, Kafka, Kubernetes, PostgreSQL

Position Description:

Summary of the project/initiatives which describes what’s being done:

o Build, modernize and maintain the U.S. Bank AI/ML Platform & related frameworks / solutions.

o Participate and contribute in architecture & design reviews.

o Build/Deploy AI/ML platform in Azure with open-source applications (Argo, Jupyter Hub/Kubeflow) and/or cloud/SaaS solutions (Azure ML, Databricks).

o 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.

o Enable/Support platform to do distributed data processing using Apache Spark and other distributed / scale technologies.

o Build ETL pipelines, ingress / egress methodologies in context to AIML use-cases.

o Build highly scalable backend REST APIs for metadata management and other misc. business needs.

o Deploy Application in Azure Kubernetes Service using GitLab, Jenkins, Docker, Kubectl, Helm and Manifest

o Experience in branching, tagging, and maintaining the versions across different environments in GitLab.

o Review code developed by other developers and provide feedback to ensure best practices (e.g., design patterns, accuracy, testability, efficiency etc.)

o 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.

o Perform functional, benchmark & performance testing and tuning to achieve performant AIML workflow(s), interactive notebook user experiences, and pipelines.

o Assess, design & optimize the resources capacities for ML based resource (GPU) intensive workloads.

o 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.

Top 5-10 responsibilities for this position:

o Experience developing AIML platforms & frameworks (including core offerings such as model training, inferencing, distributed/parallel programming), preferably on Kubernetes and native cloud.

o Highly skilled with Python or JAVA programming languages

o Highly skilled with database languages like SQL & NoSQL

o Experience designing, developing, and deploying highly maintainable, extensible, and testable distributed applications using Python and other languages.

o Experience developing ETL pipelines and REST APIs in Python using Flask or Django

o Experienced with technologies/frameworks including Kubernetes, Helm Charts, Notebooks, Workflow orchestration tools, and CI/CD & monitoring frameworks.

Basic Qualifications:

• Bachelor’s/master’s degree in computer science or data science

• 6 – 8 years of experience in software development and with data structures/algorithms

Required Technical Qualifications / Skills:

• Experience with AI/ML open-source projects in large datasets using Jupyter, Argo, Spark, Pytorch, TensorFlow

• Experience creating Unit and Functional test cases using PyTest, UnitTest

• Experience with training and tuning models in Machine Learning

• Experience working with Jupyter Hub

• Experience with DB management system like PostgreSQL

• Experience in searching, monitoring, and analyzing logs using Splunk/Kibana

• GraphQL/Swagger implementation knowledge

• Strong understanding and experience with Kubernetes for availability and scalability of applications in Azure Kubernetes Service

• Experience building CI/CD pipelines using Cloudbees Jenkins, Docker, Artifactory, Kubernetes, Helm Charts and Gitlab

• Experience with tools like Jupyter Hub, Kubeflow, MLFlow, TensorFlow, Scikit, Apache Spark, Kafka

• Experience with workflow orchestration tools such as Apache Airflow, Argo workflows

• Familiarity with Conda, PyPi, and Node.js package builds

Preferred Qualifications / Skills:

• Experience with AI/ML open-source projects in large datasets using Jupyter, Argo, Spark, Pytorch, TensorFlow

• Experience creating Unit and Functional test cases using PyTest, UnitTest

• Experience with training and tuning models in Machine Learning

• Experience working with Jupyter Hub

• Experience with DB management system like PostgreSQL

• Experience in searching, monitoring, and analyzing logs using Splunk/Kibana

• GraphQL/Swagger implementation knowledge

• Strong understanding and experience with Kubernetes for availability and scalability of applications in Azure Kubernetes Service

• Experience building CI/CD pipelines using Cloudbees Jenkins, Docker, Artifactory, Kubernetes, Helm Charts and Gitlab

• Experience with tools like Jupyter Hub, Kubeflow, MLFlow, TensorFlow, Scikit, Apache Spark, Kafka

• Experience with workflow orchestration tools such as Apache Airflow, Argo workflows

• Familiarity with Conda, PyPi, and Node.js package builds

 Thanks & Regards 

Rahul Yadav

Technical Recruiter

Tigerbells LLC

Suite 52, 1405 Chews Landing Rd.

Laurel Springs, NJ 08021

Phone +1 (609) 375-8176

Email: rahul@tigerbells.com

Website: www.tigerbells.com