Position : Manager - AI & Machine Learning

Location : Gurgaon/ Bengaluru

Organisation : Permanent opportunity with a US MNC

Timings : Regular day shift

Overview :

We are looking for a Manager AI & Machine Learning Engineering to lead a team of ML engineers in developing and deploying high-impact machine learning solutions across core enterprise functions including Sales, Service, Finance, Order Fulfillment, and Supply Chain. This role requires a strong mix of technical leadership, people management, and strategic alignment to guide ML engineers from ideation through production deployment.

Youll play a key role in shaping the AI/ML delivery roadmap, establishing scalable engineering practices, and driving value through predictive models integrated into critical business workflows.

Responsibilities :

1. Team Leadership and Talent Development :

- Manage, coach, and grow a high-performing team of machine learning engineers, promoting a culture of innovation, collaboration, and continuous learning.

- Provide technical direction, architectural oversight, and career mentorship.

- Define team objectives and success metrics aligned with enterprise priorities.

2. 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.

3. 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.

4. 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.

5. 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.

Required :

- Total 10+ years of experience in machine learning, data science, or engineering roles, with minimum 3+ years in a technical leadership or management capacity.

- Proven experience building and deploying machine learning solutions in production environments.

- Hands-on background with 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.

Preferred :

- Experience supporting business functions such as Sales, Finance, or Supply Chain with applied ML.

- Familiarity with cloud platforms (AWS, Azure, or GCP) and enterprise data tools (Snowflake, dbt, Matillion).

- Exposure to enterprise platforms such as Oracle Fusion Cloud, Salesforce, or ServiceNow.