AI Manager

Bengaluru - India

Monthly Salary: Not Disclosed

Posted on: Yesterday

Vacancies: 1 Vacancy

Job Summary

Description

We are seeking a dynamic and experienced Software Engineering Manager with a strong background in AI/ML technologies and deep understanding of the industrial domain. This role will lead a cross-functional engineering team focused on building intelligent scalable and reliable solutions for industrial applications such as predictive maintenance process optimization and smart automation.

Responsibilities

Team Leadership & Development

Lead mentor and grow a team of software engineers and data scientists.

Foster a culture of innovation ownership and continuous improvement.

Drive agile development practices and ensure timely delivery of high-quality solutions.

AI/ML Strategy & Execution

Architect and oversee the development of AI/ML models tailored to industrial use cases.

Collaborate with product managers and domain experts to define technical requirements and translate them into scalable solutions.

Ensure robust model deployment and lifecycle management including MLOps best practices.

Industrial Systems Integration

Design and implement software that interfaces with industrial systems (e.g. SCADA PLCs MES).

Address real-world constraints such as latency reliability and safety in industrial environments.

Work closely with hardware and field engineering teams to ensure seamless integration.

Cross-functional Collaboration

Partner with UX QA and DevOps teams to deliver end-to-end solutions.

Communicate technical decisions and trade-offs effectively to stakeholders and senior leadership.

Required Qualifications

Bachelors or Masters degree in Computer Science Electrical Engineering or related field.

8 years of experience in software engineering with at least 3 years in a leadership role.

Strong programming skills in Python Java or C and experience with AI/ML frameworks (e.g. TensorFlow PyTorch).

Proven experience in deploying AI models in production preferably in edge or embedded environments.

Solid understanding of industrial protocols (e.g. Modbus OPC UA) and control systems.

Qualifications

Preferred Qualifications

PhD or advanced degree in AI/ML or Industrial Engineering.

Experience with cloud platforms (Azure AWS) and MLOps tools.

Familiarity with safety standards and compliance in industrial settings.

Experience in manufacturing energy automotive or similar sectors.

What We Offer

Opportunity to work on cutting-edge AI solutions in real-world industrial environments.

A collaborative and inclusive culture that values innovation and impact.

Competitive compensation and benefits.

Career growth in a fast-paced high-visibility leadership role.

Required Experience:

Manager

DescriptionWe are seeking a dynamic and experienced Software Engineering Manager with a strong background in AI/ML technologies and deep understanding of the industrial domain. This role will lead a cross-functional engineering team focused on building intelligent scalable and reliable solutions for...