AI Manager

About the job

Job Summary: We are looking for a highly skilled AI Manager with deep expertise in Computer Vision / Deep Learning and strong knowledge of Data Science, Analytics, and Machine Learning. The ideal candidate should have managed developments, customer deployments, and field operations of AI models involving CV/DL and DS/ML. Candidates should have a strong foundation in software development best practices, cloud-based architectures, and a deep understanding of AI/ML frameworks. You will be responsible for teams designing, developing, and deploying high-performance AI models, optimizing pipelines, and ensuring scalability for real-world applications. Key Responsibilities: 1. AI / DS Model Development & Optimization • Manage the development process for computer vision / deep learning models for object detection, segmentation, and classification & data science / analytics for large scale structured / unstructured data. • Guide the teams in model picking and fine-tuning • Manage customer model Deployment • Monitor and finetune the models in field 2. Scalable AI & Distributed Computing • Design and Manage scalable AI models using distributed computing frameworks such as Ray, Spark, or Dask. • Design and Manage parallel processing techniques to handle large-scale data efficiently. 3. Updating with Developments in AI & DS • Stay updated with cutting-edge research in AI, deep learning, computer vision, data science, and machine learning. • Evaluate new algorithms and techniques to improve existing models. 4. Team Collaboration & Mentorship • Manage cross-functionally with product teams, software engineers, and data scientists to build AI-driven solutions. • Mentor junior AI engineers and conduct internal training sessions. Required Skills & Qualifications: • Education: Bachelor's or Master’s degree in Computer Science, CV, AI, ML, or a related field. • Experience: 10+years of software development and 3+ years of experience in AI/ML, computer vision, and data science. • MLOps: Experience with model monitoring, retraining pipelines, and feature stores. • Computer Vision Expertise: Experience with image processing, object detection, segmentation, video analytics. • Data Science & Analytics: Strong grasp of statistics, data visualization, and machine learning techniques. • Cloud & Deployment: Experience with AWS, GCP, or Azure for deploying scalable AI solutions. • Distributed AI & Big Data: Experience with Ray, Apache Spark, Dask, or other distributed frameworks. • Software Engineering: Strong foundation in Git, Docker, Kubernetes, API development. • Mathematics: Strong understanding of linear algebra, probability, optimization, and deep learning. Preferred Skills (Nice to Have): • NLP Experience: Familiarity with transformer models, LLMs (e.g., GPT, BERT, T5). • Multi-Modal AI: Knowledge of models that combine text, vision, and structured data. • Edge AI & Embedded Systems: Experience optimizing AI models for Jetson, Raspberry Pi, or mobile devices.

Requirements

• AI Management
• Computer Vision
• Deep Learning
• Data Science

Qualifications

• Bachelor's or Master's Degree in Computer Science or related fields

Preferred Technologies

• AI Management
• Computer Vision
• Deep Learning
• Data Science

About the company

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