Associate Engineering Manager / Engineering Manager - AI/ML

Role Overview

We are looking for an Associate Engineering Manager / Engineering Manager - AI/ML with 7-10 years of hands on experience in Artificial Intelligence (AI), Machine Learning (ML), Deep Learning, Computer Vision, and Neural Networks. The ideal candidate should have strong expertise in developing AI/ML models from scratch, along with coding and deployment experience. This is a leadership role that requires technical excellence, hands-on development, and team management.

Key Responsibilities

• AI/ML Model Development: Design, build, and optimize AI/ML models from scratch, ensuring high performance and scalability.
• Deep Learning & Computer Vision: Apply cutting-edge techniques in Deep Learning, Neural Networks, and Computer Vision to develop real-world AI solutions.
• Coding & Deployment: Write clean, efficient, and production-ready code in Python, TensorFlow, PyTorch, Scikit-learn, and related ML frameworks. Deploy AI/ML models in cloud/on-premise environments.
• Leadership & Mentorship: Lead, mentor, and guide a team of AI/ML engineers, ensuring best practices and continuous learning.
• Collaboration: Work closely with product managers, data scientists, and software engineers to translate business requirements into AI-powered solutions.
• Research & Innovation: Stay updated with the latest AI/ML advancements and implement state-of-the art solutions.
• Performance Optimization: Optimize AI models for efficiency, accuracy, and scalability in production environments.

Required Skills & Experience

• 7-10 years of hands-on experience in AI, ML, Deep Learning, and Neural Networks.
• Strong coding expertise in Python, TensorFlow, PyTorch, Scikit-learn, OpenCV, and related frameworks.
• Experience in building AI/ML models from scratch, including data preprocessing, model training, tuning, and deployment.
• Solid understanding of Computer Vision, Natural Language Processing (NLP), and Generative AI techniques.
• Experience with MLOps, model versioning, and deployment pipelines (e.g., Docker, Kubernetes, AWS, Azure, GCP).
• Strong knowledge of big data technologies, distributed computing, and cloud-based AI solutions.
• Proven experience in leading and mentoring engineering teams.
• Excellent problem-solving skills and ability to work in a fast-paced environment.

Preferred Qualifications

• Masters or Ph.D. in Computer Science, AI, ML, or a related field.
• Experience in LLMs (Large Language Models), Transformers, GANs, and Reinforcement Learning.
• Exposure to AI ethics, bias mitigation, and explainability techniques.