Technomech Placements
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Machine Learning Engineer - Cloud Infrastructure (6-8 yrs) Pune (Analytics &
Location:
Pune
Description:
Job Description :Position : ML Engineer & ML Ops.Experience : 6 years.Location - Pune - Hybrid. Job Type - Fulltime. Here we are looking for strong ML Ops Exp using Sage maker. Skill Set : Machine Learning. Sub Skill : Azure, GCP, AWS, Devops, Python, Kubernetes, Containerization, Machine Learning. Job Description :End-to-End ML Lifecycle Management : - Design and implement end-to-end Machine Learning (ML) pipelines, from data preparation to model deployment and monitoring.- Collaborate with data scientists and engineers to streamline the ML workflow and ensure scalability.Model Deployment and Monitoring : - Deploy ML models into production environments and monitor their performance.- Implement automated monitoring and alerting systems to detect and respond to model drift or degradation.Infrastructure and Environment Management : - Work closely with DevOps teams to manage infrastructure for ML workloads, ensuring scalability, reliability, and security.- Implement containerization and orchestration solutions for ML applications.Collaboration and Documentation : - Collaborate with cross-functional teams, including data scientists, software engineers, and business stakeholders.- Document MLOps processes, best practices, and guidelines.Requirements: Experience :- Overall Experience of minimum 6 years with 2-3 years of relevant experience in MLOps.Technical Skills :- Proficient in programming languages such as Python and experience with ML frameworks. - Knowledge of containerization (Docker) and orchestration (Kubernetes) technologies.Infrastructure and Cloud : - Experience with of deploying at least 2 AI/ML Projects on AWS SageMaker.- Exposure to Azure DevOps. - Familiarity with infrastructure as code (IaC) tools.- Collaboration and Communication:. - Strong communication and collaboration skills, with the ability to work effectively in a cross-functional team.- Problem-solving Skills- Proven ability to troubleshoot complex issues and find practical solutions. (ref:hirist.tech)
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More About this Listing: Machine Learning Engineer - Cloud Infrastructure (6-8 yrs) Pune (Analytics &
Machine Learning Engineer - Cloud Infrastructure (6-8 yrs) Pune (Analytics & is a Engineering Engineer Job at Technomech Placements located in India. Find other listings like Machine Learning Engineer - Cloud Infrastructure (6-8 yrs) Pune (Analytics & by searching Oodle for Engineering Engineer Jobs.
Machine Learning Engineer - Cloud Infrastructure (6-8 yrs) Pune (Analytics & is a Engineering Engineer Job at Technomech Placements located in India. Find other listings like Machine Learning Engineer - Cloud Infrastructure (6-8 yrs) Pune (Analytics & by searching Oodle for Engineering Engineer Jobs.