Engineering Manager AI & Automation

Job Description :

Engineering Manager AI &Automation

As an Engineering Manager with a focus on AI / ML and automation, you will lead and mentor high-performing engineering teams in building scalable, intelligent software solutions powered by machine learning and data-driven technologies. Youll drive technical excellence across AI / ML systems, collaborate cross-functionally to align engineering efforts with business goals, and foster a culture of innovation, ownership, and continuous learning.

Please find below the details of the role and its responsibilities.

Skills Required :

Python, Cloud-Based Development, Artificial Intelligence, Agentic AI, Machine Learning

Experience Range : 9 - 12 years

Key Responsibilities :

Lead, manage, and mentor engineering teams, fostering a collaborative and innovative team culture

Guide the development of robust, scalable ML pipelines and intelligent software systems aligned with business needs

Oversee project execution, ensuring model performance, code quality, and timely delivery

Support engineers growth through coaching, feedback, and career development planning

Collaborate with cross-functional teams to deliver impactful AI-driven features

Drive best practices in AI / ML engineering, architecture, and system design

Promote modern development practices including Agile, CI / CD, MLOps, and reproducible research

Identify and resolve technical and organizational challenges to maintain a productive and forward-thinking environment

Professional Requirements and Expertise :

9+ years of experience in software engineering, including 5+ years in engineering management and team leadership

Strong background in machine learning, data engineering, and scalable system design

Hands-on experience with ML frameworks (e.g., TensorFlow, PyTorch), data platforms, Docker, Linux, and cloud environments (preferably AWS)

Proven ability to lead Agile, cross-functional teams through the full ML lifecyclefrom data ingestion to model deployment and monitoring

Experience with automation tools, e.g. Airflow, and practices

Good to Have :

Knowledge of responsible AI practices, model governance, and compliance

Familiarity with frontend technologies for AI product interfaces (e.g., Vue.js, TypeScript, HTML, CSS)

Experience with backend frameworks such as Python (FastAPI, Flask), gRPC, GraphQL.

Exposure to AI / ML applications in areas like NLP, computer vision or recommendation systems

Experience with Java and Spring Boot,

Experience with ML Ops

Personal Skills :

Strong communication, leadership, and problem-solving skills

Strategic thinker with a hands-on, proactive approach

High motivation, flexibility, and resilience in dynamic environments

Team-oriented with a strong sense of ownership and quality

Committed to fostering a culture aligned with 4flows values and long-term success