AWS ML Ops Engineer Advaya HR Solutions

About Advaya HR Solutions

Job Description

Position Overview

We are seeking a highly skilled and motivated AWS ML Ops Engineer to join our dynamic team. This role is ideal for individuals who are passionate about leveraging machine learning and cloud technologies to drive innovation and efficiency. As an AWS ML Ops Engineer, you will play a crucial role in deploying and managing machine learning models in a cloud environment, ensuring they are scalable, reliable, and efficient. This position offers the flexibility of remote work while being part of a collaborative team that values creativity and technical expertise.

Key Responsibilities

• Design, implement, and maintain scalable machine learning pipelines on AWS.
• Collaborate with data scientists to deploy machine learning models into production.
• Monitor and optimize the performance of machine learning models and infrastructure.
• Utilize tools such as Python, Spark, and Scala to develop robust data processing workflows.
• Implement DevOps practices to automate deployment and monitoring of ML applications.
• Work closely with cross-functional teams to understand business requirements and translate them into technical solutions.
• Stay updated with the latest trends and technologies in machine learning and cloud computing.
• Provide technical guidance and mentorship to junior team members.

Qualifications

The ideal candidate will possess the following qualifications:

• Experience: 5 to 10 years of relevant work experience in machine learning operations and cloud technologies.
• Technical Skills: Proficiency in Python, Spark, Scala, and a strong understanding of data science and machine learning concepts.
• Cloud Expertise: Hands-on experience with AWS services, particularly those related to machine learning and data processing.
• DevOps Knowledge: Familiarity with DevOps practices and tools for CI/CD, containerization, and orchestration.
• Problem-Solving Skills: Strong analytical and problem-solving abilities, with a keen attention to detail.
• Communication: Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.

This is a full-time position with an annual salary of 24,00,000. We are looking for one dedicated individual to join our team in Pune, Bangalore, Bhopal, or Navi Mumbai. The job schedule is day-based, and the work mode is remote, providing you with the flexibility to balance your professional and personal life.

If you are ready to take your career to the next level and make a significant impact in the field of machine learning and cloud operations, we encourage you to apply for the AWS ML Ops Engineer position today!