Hiring - AI/ML Engineer - 100% Remote, United States

Job Role: AI/ML Engineer.

Job Type/Type of Hire: W2 Contract.

Job Location: 100% Remote, United States.

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

• Build, modernize and maintain the AI/ML Platform & related frameworks / solutions.

• Participate and contribute in architecture & design reviews.

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

• 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, Jenkins, Docker, Kubectl, Helm and Manifesto.

• 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.

- Top 5-10 responsibilities for this position:

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

• Highly skilled with Python or JAVA programming languages.

• Highly skilled with database languages like SQL & NoSQL.

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

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

• 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 & Preferred 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.