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Hiring for Sr. Machine Learning Engineer || Pittsburgh, Pennsylvania || Hybrid || 6+ Months Contract To Hire || Super Urgent Position at Pittsburgh, Pennsylvania, USA
Email: harsh@vizoninc.com
From:

Harsh Goyal,

Vizon Inc

harsh@vizoninc.com

Reply to:   harsh@vizoninc.com

Looking for Senior Machine Learning Engineer 

Must have minimum of 13+ Year of Candidate

Must be able to relocate to 

Pittsburgh, Pennsylvania OR Brecksville, Ohio OR Strongsville, Ohio OR Birmingham, Alabama OR Phoenix Arizona

Must have Active Certification: (Any One of the following)

AWS Certified Machine Learning Specialty 

AWS Solutions Architect certification 

AWS Certified DevOps Engineer Professional

Job Description -
Need LinkedIn profile, Visa copy, and submittal matrix with submittal!
Please check with consultant/search over the LinkedIn if they have multiple LinkedIn profile. Because we have submitted multiple consultant and they found many fake consultants!
Need only local!
Need Certification copy as well!

Sr. Machine Learning Engineer 
6+ months Contract to Hire 
Brecksville, OH or Pittsburgh, PA or Strongsville, OH or Birmingham, AL or Phoenix AZ - HYBRID: 3 days office / 2 remote 

Years of Experience: 13+ years applicable experience required 
Candidate Industry Background: Banking/financial  - Recent will be highly prefer
Roles and Responsibilities: 
Research, develop, and implement machine learning algorithms for use in software and hardware applications.
Perform application programming activities including coding, testing, debugging, documenting, maintaining, and modifying machine learning systems. 
Analyze and review enhancement requests and specifications. 
Implement changes to algorithms to improve performance. 
Troubleshoot problems to improve user experience. 
Provide quality assurance reviews 
Perform post-implementation validation of machine learning models and resolve any bugs found during testing 
Must have technical skills (Min 8yrs of exp required in all of the below skills) 
AWS SageMaker implementation experience 
MLOps pipeline development 
CI/CD for ML workflows 
Python programming 
ML framework experience (TensorFlow/PyTorch) 
Hybrid cloud architecture 
Git version control 
MLflow or similar experiment tracking 
MLflow based model experiment tracking and model serving 
Kubeflow implementation 
Apache Airflow orchestration 
Terraform/CloudFormation 
DVC for data versioning 
Feature store implementation or integration with MLOps systems 
Education/Certifications: 
Bachelors in computer science, engineering, or related field 
AWS Certified Machine Learning Specialty 
AWS Solutions Architect certification 
AWS Certified DevOps Engineer Professional 
Additional Data Science and LLM focused certification will be a plus 
Screening Questions: 
1, Explain MLOps and key components of that in context of AWS SageMaker or similar experience 
2, Explain an end-to-end MLOps implementation on SageMaker and if the same had to be implemented in a hybrid state 
3, Describe your experience deploying ML models to production using SageMaker inference endpoints and/or using other non-AWS endpoints 
4, Explain what monitoring systems have you implemented across the MLOps value chain 
5, Explain why you should or should not consider MLflow or such tools in conjunction with AWS SageMaker for MLOps in a hybrid architecture 

Keywords: continuous integration continuous deployment machine learning Alabama Arizona Ohio Pennsylvania
Hiring for Sr. Machine Learning Engineer || Pittsburgh, Pennsylvania || Hybrid || 6+ Months Contract To Hire || Super Urgent Position
harsh@vizoninc.com
https://jobs.nvoids.com/job_details.jsp?id=2339206
harsh@vizoninc.com
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06:41 PM 14-Apr-25


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