Machine Learning Engineer

3 weeks ago

Pune, India Technomech Placements Full time

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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