ML​/MLOps Engineer

Mphasis.

AI is a leading technology solutions provider shaping an AI-driven future without boundaries. Our flagship offering is Mphasis Tria™, a proprietary AI platform designed to liberate clients from vendor lock-in, giving them ultimate flexibility and complete freedom of choice over their cloud and infrastructure ecosystem.

We don’t rely on off-the-shelf AI templates. Instead, we have developed three unique, interconnected layers:

• Mphasis NeoIP™ – Our core automation engine built for governed agentic execution and orchestration.
• Continuum AI™ – A decision intelligence platform capable of causal reasoning and advanced scenario modeling.
• Mphasis Ontosphere™ – An enterprise knowledge mapping layer that builds structured knowledge graphs, allowing the AI to deeply understand a company's data before acting on it.

We are seeking a highly motivated and skilled ML/MLOps Engineer to join our team and build innovative applications that leverage the power of artificial intelligence and machine learning.

You will be responsible for the entire development lifecycle, from designing and implementing back-end functionalities to integrating AI/ML models for intelligent solutions.

• Design, develop, and maintain robust and scalable back-end APIs using Python and relevant framework.
• Implement efficient algorithms and data structures to handle complex calculations and data processing.
• Integrate with various databases and third-party APIs for data access and functionality.
• Ensure code quality through unit testing, code reviews, and best practice.
• Analyze and understand raw data & Develop data pipelines to wrangle data ML model development and algorithm design.
• Interpret trends and patterns, visualization tool, python graph lib.
• Work closely with designers, Architects, data scientists, product managers, and other engineers to deliver comprehensive solution.
• Communicate effectively and share technical knowledge with the team.
• Be open to feedback and continuously learn and adapt to new technologies.

• 3-5 years of direct experience in designing and implementing back-end functionalities to integrate AI/ML models for intelligent solutions.
• Good knowledge of Python, DS, Pandas, Scykit, Num Py, Tensor Flow, keras.
• NLP contribute to CI/CD pipelines for automated deployments and testing using Kubernetes.

• Experience in Deep Learning.
• Experience in Information extraction and retrieval techniques.
• Experience with big data management tools, Node.js and scripting.
• Research, design and development of natural language processing algorithms.
• Design and develop user-friendly and responsive web applications.
• Build intuitive interfaces with a focus on user experience and accessibility.
• Implement secure and front-end solutions.

• Cloud development certification (Any of GCP, Azure or AWS).
• AI/ML certification.

• Bachelor's degree in Computer Science, Information Technology, or related field (Master's degree preferred).