Lead AI Engineer - Python/Deep Learning

Key Responsibilities :

- Lead the end-to-end development of AI/ML solutions, from problem definition and data exploration to model deployment and monitoring.

- Architect scalable, reliable, and efficient AI systems aligned with business objectives.

- Collaborate with product managers, data scientists, and engineering teams to deliver impactful AI-driven features.

- Oversee model training, validation, and optimization using state-of-the-art techniques.

- Ensure production readiness, including performance tuning, monitoring, and lifecycle management of models.

- Establish best practices for data handling, model versioning, experimentation, and reproducibility.

- Mentor and guide junior and mid-level engineers, fostering a culture of innovation and technical excellence.

- Stay updated with the latest advancements in AI, machine learning, and related technologies, and evaluate their applicability.

- Work closely with data engineering teams to ensure robust data pipelines and infrastructure.

- Address ethical considerations, bias, and fairness in AI systems.

Required Qualifications :

- 7+ years of experience in software engineering, with at least 3+ years focused on AI/ML systems.

- Strong proficiency in programming languages such as Python, and experience with ML frameworks like TensorFlow, PyTorch, or similar.

- Hands-on experience with machine learning algorithms, deep learning, NLP, or computer vision.

- Proven experience deploying models into production environments.

- Solid understanding of data structures, algorithms, and distributed computing.

- Experience with cloud platforms (AWS, Azure, or GCP) and MLOps practices.

- Demonstrated leadership experience in managing or mentoring engineering teams.

Preferred Skills :

- Experience with large-scale data processing tools such as Spark or Hadoop.

- Familiarity with containerization and orchestration tools like Docker and Kubernetes.

- Knowledge of API development and microservices architecture.

- Strong problem-solving skills and the ability to work in a fast-paced environment.

- Excellent communication and stakeholder management skills.

Key Competencies :

- Strategic thinking with a hands-on approach

- Strong leadership and mentoring ability

- Innovation-driven mindset

- High accountability and ownership