Job Responsibilities
- Conduct research on computer vision, deep learning and AI problems
- Build prototype applications in AI domains such as computer vision, self-supervised learning, multi-modality learning etc.
- Work closely with a team of scientists and researchers to concept and iterate on software development
- Develop and deploy data science prototypes, with a focus on bringing machine learning models into production
- Design and implement scalable and high-performance machine learning models, with a focus on troubleshooting performance and accuracy issues
- Collaborate with technical and non-technical teams locally and overseas, and present proof of concepts to stakeholders effectively
- Build data cleaning and augmentation pipelines for both machine learning and deep learning model-based projects
- Automate processes and workflows for efficient delivery of data science products via scripting and open source tools
- Stay updated with the latest advancements in data science, machine learning, and deployment techniques through independent research and open source tools and libraries
Job Requirements
- Degree/Masters/PhD in Engineering or Science with min 3 years of relevant experience with atleast 1 year in Computer Vision Projects
- Experience in real-world data science projects, internships, hackathons, and personal projects
- Expertise in Python programming and using libraries for data processing, visualization, and model development, including pandas, numpy, scikit-learn, matplotlib, and seaborn
- Proficient in API concepts and libraries, and experienced in utilizing them for testing and deployment, leveraging frameworks such as Flask, Django, or FastAPI
- Familiar with databases (e.g., PostgreSQL, Minio) and SQL for data storage and retrieval
- Understand HTML/CSS/Javascript and have experience in front-end JavaScript frameworks such as Angular or React to design web interfaces for data science prototypes and deploy them
- Engineering background experienced in Sensing, Controls, Automation, Optimization & Manufacturing Processes is a plus
- Data Engineering & Analytics
Other Attributes
- Excellent communication and collaboration skills with strong analytical and problem-solving abilities
- Intellectual with desire to continuous learning
- Resourceful, positive, and solution-oriented attitude with problem solving skills and a ‘can do’ approach
- Excellent team player with good interpersonal and communication skills (verbal and written) to function effectively in a multi-cultural environment
- Able to work independently with minimal supervision
- Organised, high attention to detail and accuracy
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