Lead Data Scientist-Vision AI
Job Description
- Experience with GPUs/TPUs
- Strong project management and communication skills
- Strategic thinking and alignment of data science with business objectives
- Over 8 years of experience in data science
- Experience leading data science teams in deep learning-based computer vision
- Proficiency in Python and relevant libraries (PyTorch, TensorFlow, etc.)
- Knowledge of CNNs, RNNs, and advanced architectures
- Experience with model deployment frameworks and containerization
About the job
Join a team recognized for leadership, innovation and diversity
Lead Data Scientist - Deep Learning based Computer Vision
As a Lead Data Scientist specializing in Deep Learning for Computer Vision at Honeywell, you will guide data analysis, machine learning, and statistical modeling projects within the computer vision domain. You will prioritize data science initiatives focusing on deep learning and computer vision, ensuring these projects align with business goals and objectives. Your proficiency in deep learning algorithms and computer vision techniques will be essential in delivering impactful insights that address complex business problems. Reporting directly to our Data Science Director, you will work from our Bangalore location on a Hybrid schedule.
Key Responsibilities
Lead the creation and implementation of sophisticated deep learning models and algorithms for computer vision.
Work with cross-functional teams to understand business needs and develop data-driven solutions in computer vision.
Mentor junior data scientists, promoting a collaborative and innovative team environment.
Foster innovation within the team by exploring new methodologies and technologies to improve analytical capabilities in computer vision.
Professional Development
YOU MUST HAVE
Over 8 years of experience in data analysis, statistical modeling, or machine learning.
Demonstrated experience in leading data science teams and successfully completing projects in deep learning-based computer vision.
Proficiency in Python and libraries used in data science and computer vision, such as PyTorch, OpenCV, TensorFlow, and scikit-learn.
Familiarity with concepts like CNNs, RNNs, and advanced architectures like ResNet, EfficientNet, and YOLO.
Knowledge of transfer learning and fine-tuning pre-trained models, feature extraction, edge detection, and the use of ONNX, TensorRT, or OpenVINO for model deployment.
Experience with deployment frameworks like Flask or FastAPI and containerization tools like Docker or Kubernetes.
Preferred Hardware Knowledge About GPUs/TPUs.
WE VALUE
Bachelor’s degree or advanced degree in Computer Science, Statistics, Mathematics, or related disciplines
Strong project management skills, organizational abilities, and excellent communication and interpersonal skills
Strategic thinking and ability to align data science efforts with business objectives.
About Honeywell
Honeywell International Inc. (Nasdaq: HON) creates and commercializes technology solutions that address some of the world's most critical challenges related to energy, safety, security, air travel, productivity, and global urbanization. We are an industry-leading software-industrial company focused on implementing cutting-edge technology to improve efficiency, productivity, sustainability, and safety in high-growth industries across diverse markets.
Our products and solutions contribute to a safer, more comfortable, and more productive world, enhancing the quality of life for people worldwide.
Honeywell is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status.
Additional Information
