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.
· 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
· Bachelor’s or Master’s 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.
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.