We are seeking a highly skilled and experienced Lead Software Engineer - Machine Learning to drive the design, development, and deployment of scalable AI/ML solutions. In this role, you will lead a team of engineers and data scientists to build intelligent systems that solve complex business problems and deliver measurable impact. You will be responsible for architecting machine learning pipelines, developing production-grade ML models, and ensuring high performance, reliability, and scalability of AI applications. The ideal candidate has strong expertise in software engineering principles combined with hands-on experience in machine learning, deep learning, and cloud technologies.

Key Responsibilities :

- Lead the end-to-end development of machine learning solutions from research to production.

- Design scalable ML architectures, APIs, and data pipelines.

- Collaborate with product managers, data scientists, and cross-functional teams to define AI-driven features.

- Optimize model performance, deployment, monitoring, and maintenance.

- Mentor engineering teams and establish best practices for coding, testing, and ML operations (MLOps).

- Ensure system security, reliability, and compliance with industry standards.

- Stay updated with emerging AI/ML technologies and recommend innovative solutions.

Required Qualifications :

- Bachelors or Masters degree in Computer Science, Artificial Intelligence, or related field.

- 8+ years of software engineering experience with 3+ years in machine learning leadership roles.

- Strong proficiency in Python, Java, or C++.