MLOps Engineer 3 - Remote Position for AI/​ML Projects

About the Role

We are seeking a talented MLOps Engineer 3 to join our innovative team. This MLOps Engineer 3 remote position is perfect for individuals based in India who are passionate about machine learning operations and want to work on cutting-edge AI projects. You'll be responsible for building and optimizing large-scale distributed systems while collaborating with cross-functional teams.

What You'll Do

• Design and implement automated deployment frameworks and software lifecycle modules for machine learning applications.
• Work with cloud technologies such as AWS or Microsoft Azure to deploy and manage machine learning models.
• Utilize Docker and containerization techniques to ensure efficient deployment and scalability.
• Develop and maintain microservices and REST APIs to support machine learning workflows.
• Optimize Linux systems and GPUs for high-scale architecture design.
• Collaborate with engineering and architecture teams to enhance system performance and reliability.
• Utilize CI/CD tools like Jenkins and Git for version control and deployment automation.
• Stay updated with state-of-the-art machine learning techniques, including deep learning and computer vision.

Requirements

• BTech in Computer Science or equivalent.
• 5+ years of relevant experience in MLOps and machine learning frameworks.
• Proficiency in programming languages such as Python, Java, Shell, Perl, or Ruby.
• Experience with CI/CD and version control tools.
• Strong communication skills to work effectively across teams.
• Familiarity with ROSA (Red Hat OpenShift Service on AWS) is a plus.

Nice to Have

• Experience with machine learning frameworks like Scikit, MLPack, TensorFlow, or Caffe.
• Knowledge of advanced machine learning techniques, including recommendations and computer vision.

What We Offer

• Competitive salary ranging from $90,000 to $120,000 per year.
• Fully remote work environment, allowing for flexibility and work-life balance.
• Opportunities for professional growth and development in the AI/ML field.
• Collaborative and innovative team culture.
• Access to cutting-edge technologies and projects.