Hiring - Machine Learning Engineer/AI Engineer - Remote

Job Tittle: Machine Learning Engineer/AI Engineer

Job Type: W2 contract

Location: Remote

Duration: 6 Months

Responsibilities:
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

Javid Ahmad

Sr. Technical Recruiter 

Tigerbells LLC

Suite 52, 1405 Chews Landing Rd.

Laurel Springs, NJ 08021

Phone: +1 609 759 1987

E: javid@tigerbells.com

W:www.tigerbells.com