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AI-ML Manager
Maximus Infoware —Industrial Estate, Kanpur, Uttar Pradesh
- Azure
- Computer Science
- Java

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AI-ML Manager
Maximus Infoware —Industrial Estate, Kanpur, Uttar Pradesh
This role involves managing a team of data scientists, machine learning engineers, and analysts to design, develop, and deploy AI/ML solutions that drive…

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AI-ML Manager

Maximus Infoware
Industrial Estate, Kanpur, Uttar Pradesh

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Job details

Qualifications

CI/CD
Azure
Computer Science
Kubernetes
Software deployment
Spark
NumPy
R
Java
Master's degree
Pandas
AWS
Project management
Docker
Bachelor's degree
Machine learning
Distributed systems
Continuous integration
Deep learning
B.E.
Integration testing
Kafka
Data science
AI
Leadership
Communication skills
Banking
Python
Data Science

Full job description

Job Summary:

We are seeking an experienced and highly motivated AI/ML Manager to lead our Artificial Intelligence and Machine Learning initiatives. This role involves managing a team of data scientists, machine learning engineers, and analysts to design, develop, and deploy AI/ML solutions that drive business value. The ideal candidate will have a strong technical background combined with proven leadership and project management skills.

Key Responsibilities:

Lead and mentor a team of AI/ML professionals in developing scalable models and algorithms.
Collaborate with cross-functional teams (engineering, product, analytics) to integrate AI/ML solutions into products and services.
Define and execute AI/ML strategy aligned with organizational goals.
Oversee the end-to-end lifecycle of AI/ML projects from research and development to deployment and monitoring.
Ensure model quality, performance, fairness, and explainability using best practices.
Manage timelines, resources, and priorities to ensure successful delivery of initiatives.
Stay current with the latest AI/ML trends, research, tools, and technologies.
Present insights and results to technical and non-technical stakeholders.
Proficient in programming languages like Python, R, or Java.
Experience with MLOps, model deployment, and cloud platforms (e.g., AWS, GCP, Azure).
Experience in Banking domain will be preferrable.
Experience with Apache Kafka, ignite, Spark, or distributed systems for handling high-volume data pipelines.
Strong understanding of GPU infrastructure requirements for training, optimizing, and deploying large-scale AI/ML and deep learning models.
Proficiency in containerization and orchestration using Docker (Kubernetes experience is a plus).
Hands-on experience with CI/CD pipelines for automating model integration, testing, and deployment in production environments.

Required Qualifications:

Bachelor of Engineering or Bachelor’s /Master’s in Computer Science, Data Science, AI/ML, or related field.
Excellent communication and interpersonal skills.

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