This is a Junior position; the incumbent will have the opportunity to join a leading Engineering company working alongside other talented Data Scientists.
Job Responsibilities:
- Conduct research on computer vision, deep learning and AI problems
- Build prototype applications in various 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
Requirements:
- At least 2 years of relevant experience with a Bachelor’s Degree or above in Engineering or Sciences
- 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
