| Sr. Machine Learning Engineer || 13 + exp || need local || hybrid || need aws certifications at Remote, Remote, USA |
| Email: [email protected] |
|
https://jobs.nvoids.com/job_details.jsp?id=2339175&uid= From: hanshika, vyze [email protected] Reply to: [email protected] 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 Sr. Machine Learning Engineer || 13 + exp || need local || hybrid || need aws certifications [email protected] https://jobs.nvoids.com/job_details.jsp?id=2339175&uid= |
| [email protected] View All |
| 06:36 PM 14-Apr-25 |