Company Overview

IC Data, a subsidiary of ICAT Consulting, has been a leader in the outsourcing and offshoring consulting industry since its inception in January 1999. With headquarters in Hyderabad, IC Data is renowned for its expertise in talent acquisition, helping organizations and individuals realize their potential. Our mission is to attract, engage, and retain a total workforce efficiently for our clients. With a seasoned team having vast experience in business fulfillment, products, and data science, we aim to provide a comprehensive analytics platform for impactful data visualization.

Job Overview

We are seeking a highly skilled Senior MLOps professional to join our team in Bengaluru. This is a full-time position where you will play a critical role in enhancing the machine learning operations within our company. The ideal candidate will have strong expertise in machine learning, DevOps, and data engineering to drive the deployment and operational success of our data-driven solutions across cloud platforms.

Qualifications and Skills

• Strong proficiency in machine learning concepts and methodologies to provide high-quality data solutions.
• In-depth knowledge of DevOps practices to ensure seamless integration and deployment of ML models.
• Experience in MLOps to manage infrastructure, tools, and environments supporting the full ML lifecycle.
• Solid understanding of data engineering principles to design and build scalable data pipelines.
• Expertise in cloud platforms (e.g., AWS, Azure, GCP) for efficient resource utilization and model deployment.
• Proven track record in a product company focusing on machine learning and cloud-based solutions.
• Proficient in Python and familiar with ETL processes to extract, transform, and load data efficiently.
• Background in data science with the ability to interpret and apply complex algorithms to real-world scenarios.

Roles and Responsibilities

• Oversee the end-to-end lifecycle of machine learning models from development to production deployment.
• Collaborate with data scientists, engineers, and stakeholders to enhance ML workflows and processes.
• Develop and maintain automated deployment pipelines to ensure continuous integration and delivery.
• Monitor and optimize model performance to ensure accuracy, reliability, and scalability across platforms.
• Implement and manage cloud-based infrastructure to support large-scale data processing and model training.
• Troubleshoot issues and provide technical guidance to the team to resolve complex problems.
• Stay abreast of industry trends and emerging technologies to integrate cutting-edge practices into operations.
• Document processes, tools, and systems to ensure knowledge sharing and process consistency across teams.