MLOps Engineer - Remote Position for Cloud Technologies

About the Role

We are seeking a talented MLOps Engineer to join our team remotely. As an MLOps Engineer, you will be responsible for building and maintaining large-scale machine learning systems that operate efficiently in cloud environments. This role is 100% remote, allowing you to work from anywhere in India while collaborating with teams in the US, specifically Raleigh, NC.

What You'll Do

• Design and implement automated deployment frameworks for machine learning models.
• Work with cloud technologies such as AWS or Microsoft Azure to deploy scalable machine learning solutions.
• Utilize Docker and containerization techniques to optimize application performance.
• Develop and maintain CI/CD pipelines using tools like Jenkins and Git.
• Collaborate with engineering and architecture teams to ensure seamless integration of machine learning systems.
• Optimize Linux systems and GPUs for high-scale architecture design.
• Implement state-of-the-art machine learning techniques including deep learning and computer vision.
• Communicate effectively with team members to enhance project outcomes.

Requirements

• BTech in Computer Science or equivalent.
• Minimum of 5 years of experience in MLOps or related fields.
• Strong proficiency in Python, Java, Shell, Perl, or Ruby.
• Experience with machine learning frameworks such as Scikit-learn, TensorFlow, or SparkMLib.
• Familiarity with microservices, REST APIs, and database management.
• Experience in building large-scale distributed systems.
• Excellent communication skills in English.
• Exposure to ROSA (Red Hat OpenShift Service on AWS) is a plus.

Nice to Have

• Experience with Bash scripting.
• Knowledge of version control tools such as Perforce.
• Understanding of advanced machine learning techniques.

What We Offer

• Competitive salary ranging from $90,000 to $120,000 per year.
• Flexible remote work arrangements.
• Opportunity to work with cutting-edge technologies in AI and machine learning.
• Collaborative team environment with a focus on innovation.
• Professional development opportunities to enhance your skills.