Senior MLOps Engineer

Job Role: Senior MLOps Engineer

Experience: 3 - 6 years

Work Locations: Chennai & Hyderabad

Work Model: Hybrid

Timings: 3.00pm - 12.00pm (IST)

Must have skills required: MLOps, cloud platforms, Containerization, Python, CI/CD

Good to have skills: Monitoring tools, Database Systems, MLOps certification

Role Summary:

This role demands a machine learning engineer with expertise in machine learning algorithms, software engineering, and data infrastructure to build intelligent systems that can learn and make predictions or decisions based on data.

Responsibilities:

• Understand and translate business and functional needs into machine learning problem statements
• Translate complex machine learning problem statements into specific deliverables and requirements
• Design and develop scalable solutions that leverage machine learning and deep learning models to meet enterprise requirements
• Translate machine learning algorithms into production-level code
• Collaborate with development teams to test and deploy machine learning models
• Monitor the performance of deployed models, track data or concept drift, and update or retrain models as needed
• Ensure adherence to performance standards and compliance with data security requirements
• Keep abreast with new tools, algorithms and techniques in machine learning and work to implement them in the organization

Experience:

• At least 3 years of experience in developing and deploying enterprise-scale machine learning solutions in a software engineering-adjacent field
• Experience developing and debugging in Python
• Exposure to architectural patterns of large-scale software applications

Required skills:

• Knowledge of working on any Cloud Environment (GCP preferred)
• Proficiency in deploying machine learning algorithms as production ready API services
• Advanced programming skills with Python
• Ability to effectively communicate technical concepts and results to technical and business audiences in a comprehensive manner
• Ability to collaborate effectively across multiple teams and stakeholders, including analytics teams, development teams, product management, and operations
• Ability to work independently and in a fully remote environment
• Willingness and ability to stay up to date on new ML/AI technologies and their potential impact on the company