Job Description Insight Global is looking for an Operating Manger to lead the local Machine Learning team in Bangalore, India. This company is on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. This individual will lead a team of ML Engineers in developing and deploying high-impact machine learning solutions across core business functions including Sales, Service, Finance, Order Fulfillment, and Supply Chain. This role requires a strong mix of hands-on technical leadership, people management, and strategic alignment to guide ML engineers from ideation through production deployment. Responsibilities: Team Leadership and Talent Development -Manage, mentor, and grow a high-performing team of machine learning engineers -Provide technical direction, architectural oversight, and career mentorship -Define team objectives and success metrics aligned with enterprise priorities Program Execution and Delivery -Drive the successful execution of ML use cases such as customer churn prediction, upsell opportunity scoring, demand forecasting, and operational risk detection. -Work closely with data science, data engineering, product, and business stakeholders to define and deliver scalable ML solutions. -Oversee delivery timelines, model development, deployment readiness, and feedback integration. ML Engineering and MLOps Strategy -Establish best practices in model development, deployment, and monitoring, using tools like MLflow, SageMaker, Azure ML, Airflow, or Kubeflow. -Guide the team in implementing CI/CD for ML pipelines, model versioning, feature stores, and performance monitoring. Champion a strong foundation in software engineering, code quality, and reusability in ML development. Functional & Cross-Domain Focus -Align ML efforts with key business domains such as Sales (lead scoring, renewals), Service (case triage), Finance (forecasting), Order Fulfillment (ETA, risk), and Supply Chain (inventory planning, logistics optimization). -Collaborate with business owners to prioritize high-impact ML use cases and ensure adoption and value realization. Technology & Architecture Oversight -Partner with data platform and infrastructure teams to scale ML solutions using Snowflake, Datarobots, and enterprise cloud platforms (AWS, Azure, GCP). -Ensure ML models integrate seamlessly with business systems such as Salesforce, Oracle Fusion Cloud, and other operational tools. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements -8+ years of experience in Machine Learning, data science, and/or AI engineering roles -3+ years of experience in a Management or Technical Leadership role -Experience building and deploying machine learning solutions in production environments -Technically strong in Python, ML frameworks (scikit-learn, PyTorch, TensorFlow) and orchestration tools -Strong understanding of MLOps practices, model lifecycle management, and pipeline automation -Experience working with cross-functional stakeholders to deliver ML powered business solutions -Ability to go into the office in Bangalore as needed -Experience supporting business functions such as Sales, Finance, or Supply Chain with ML solutions -Familiarity with cloud platforms (AWS, Azure, or GCP) and enterprise data tools (Snowflake, dbt, Matillion) -Exposure to enterprise platforms (e.g. Oracle Fusion Cloud, Salesforce, or ServiceNow)