Overview
HybridNew jersey
Depends on Experience
Full Time
No Travel Required
Skills
Amazon EC2
Amazon S3
Amazon Web Services
Analytical Skill
Analytics
Artificial Intelligence
Cloud Architecture
Cloud Computing
Continuous Delivery
Continuous Integration
Continuous Integration and Development
Database
DevOps
Docker
Electronic Health Record (EHR)
Evaluation
Kubernetes
Machine Learning (ML)
Machine Learning Operations (ML Ops)
Management
Python
Regulatory Compliance
Roadmaps
Training
Job Details
Job Title: Senior/ Lead ML-Ops Engineer
Location: New York / New Jersey (Hybrid 3 Days Onsite 2 days remote)
Type: Full-Time
Location: New York / New Jersey (Hybrid 3 Days Onsite 2 days remote)
Type: Full-Time
Requirements Company Personnel must have the following expertise:
At least 5 years IT Experience in developing Software and Infrastructure as Code on AWS
Experience in developing software using CI/CD and supporting automated CI/CD pipelines.
Familiarity with container technologies including AWS Fargate, Docker and Kubernetes
Expert in Container technologies like Kubernetes and Docker
Experience in configuring AWS environment i.e EC2 , S3 DB s etc, Data Glue, EMR etc and AWS Services Step, Lambda Functions etc.
Proficient in AWS DevOps CI/CD and Micro-services
Experience developing and managing packages and APIs using Python.
Roles Responsibilities for Company Personnel are as follows:
Solid understanding of machine learning fundamental
Bring deep expertise in cloud architecture DevOps to analyze and recommend enterprise grade solutions for ope-rationalizing Artificial Intelligence Machine Learning analytic.
Develop end to end Data Dev-ML-Ops pipelines based on in depth understanding of cloud platforms AI lifecycle and business problems to ensure analytics solutions are delivered efficiently predictably and sustainably Improve and maintain our automated Continuous Integration Continuous Deployment pipeline.
Assist data scientists with model evaluation and training includes versioning compliance and validation.
Build and maintain data pipelines for analytics model evaluation and training includes versioning compliance and validation.
Continuously evaluate the latest packages and frameworks in the ML ecosystem
Work with Product Owner and other Product Architect in building product technical roadmaps and architecture in alignment with business strategies and objectives
Collaborate with the broader architecture community to ensure that their products align with target architectures and technology roadmaps and provides input on required platform capabilities and improving development tools processes.
Work with other product teams technology experts and business stakeholders to provide functional support
At least 5 years IT Experience in developing Software and Infrastructure as Code on AWS
Experience in developing software using CI/CD and supporting automated CI/CD pipelines.
Familiarity with container technologies including AWS Fargate, Docker and Kubernetes
Expert in Container technologies like Kubernetes and Docker
Experience in configuring AWS environment i.e EC2 , S3 DB s etc, Data Glue, EMR etc and AWS Services Step, Lambda Functions etc.
Proficient in AWS DevOps CI/CD and Micro-services
Experience developing and managing packages and APIs using Python.
Roles Responsibilities for Company Personnel are as follows:
Solid understanding of machine learning fundamental
Bring deep expertise in cloud architecture DevOps to analyze and recommend enterprise grade solutions for ope-rationalizing Artificial Intelligence Machine Learning analytic.
Develop end to end Data Dev-ML-Ops pipelines based on in depth understanding of cloud platforms AI lifecycle and business problems to ensure analytics solutions are delivered efficiently predictably and sustainably Improve and maintain our automated Continuous Integration Continuous Deployment pipeline.
Assist data scientists with model evaluation and training includes versioning compliance and validation.
Build and maintain data pipelines for analytics model evaluation and training includes versioning compliance and validation.
Continuously evaluate the latest packages and frameworks in the ML ecosystem
Work with Product Owner and other Product Architect in building product technical roadmaps and architecture in alignment with business strategies and objectives
Collaborate with the broader architecture community to ensure that their products align with target architectures and technology roadmaps and provides input on required platform capabilities and improving development tools processes.
Work with other product teams technology experts and business stakeholders to provide functional support
Thanks and Regards
Sanket Parate
Talent Acquisition Specialist, KTEK Resourcing
Phone -
Email -
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