MLOps Engineer

Job Summary:
Shag Infotech is seeking an MLOps Engineer to manage, deploy, and optimize machine learning models in production. The role focuses on ensuring scalable, reliable, and efficient AI/ML systems while collaborating with data scientists and development teams.

Key Responsibilities:

• Deploy, monitor, and maintain machine learning models in production environments.
• Automate ML workflows, pipelines, and continuous integration/continuous delivery (CI/CD) processes.
• Collaborate with data scientists and engineers to ensure seamless integration of AI models.
• Optimize system performance, reliability, and scalability for ML applications.
• Implement monitoring, logging, and alerting solutions for ML models.
• Evaluate and adopt emerging MLOps tools and best practices.

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or related field.
• 2+ years of experience in MLOps, DevOps, or ML model deployment.
• Strong knowledge of Python, ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Experience with cloud platforms (AWS, Azure, Google Cloud) and containerization (Docker, Kubernetes).
• Familiarity with CI/CD pipelines, monitoring tools, and model versioning.
• Strong problem-solving, collaboration, and communication skills.

What We Offer:

• Work on innovative AI-driven projects in IT and marketing.
• Collaborative and growth-focused work environment.
• Competitive salary and performance-based incentives.

Job Types: Full-time, Permanent

Pay: ₹259,910.20 - ₹1,076,777.98 per year

Benefits:

• Flexible schedule
• Internet reimbursement

Work Location: In person