Manager-AI&ML

Job Summary

We are looking for a Manager AI / Machine Learning who can translate complex business problems into scalable AI/ML solutions. The candidate will work closely with clients in the financial services domain to build predictive models, deploy ML pipelines, and deliver actionable insights.

This role requires strong experience in machine learning modeling, financial analytics use cases, and cloud-based ML deployments.

Key Responsibilities

• Engage with clients to understand business objectives and data challenges
• Translate business requirements into machine learning problem statements
• Perform exploratory data analysis (EDA), feature engineering, and model development
• Build and deploy machine learning models using supervised and unsupervised algorithms
• Develop scalable ML pipelines and APIs using Python and ML frameworks
• Work with cloud platforms such as AWS, Azure, or GCP
• Deliver data-driven insights and storytelling to stakeholders
  
• Collaborate with cross-functional teams including data engineering, product, and consulting teams
• Mentor junior team members and promote best practices in machine learning development
• Stay updated with latest advancements in AI, ML, and Agentic AI technologies

Required Skills

• Strong expertise in Machine Learning and Predictive Analytics
• Programming proficiency in Python
• Experience with Scikit-learn, TensorFlow, PyTorch
• Strong knowledge of EDA, feature engineering, model selection, validation, and deployment
• Experience building scalable ML pipelines
• Experience with cloud platforms (AWS / Azure / GCP)
• Strong analytical and problem-solving skills
• Excellent communication and client-facing skills

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Domain Experience (Preferred)

Experience working on financial services analytics use cases such as:

• Credit risk modeling
• Fraud detection and transaction risk analytics
• Customer churn prediction
• Customer segmentation and targeting
• Marketing analytics and campaign optimization

Experience Required

• 4 7 years of experience in Machine Learning / Data Science roles
• Experience building production ML models and deploying AI solutions

Education

• Bachelors or Masters degree from a Tier-1 technical institute
• OR
• MBA from a Tier-1 institute