Researcher / Data Scientist

Job Description (Specific Duties of the Position):

• Conduct research on computer vision, deep learning, and AI-related problems.
• Build prototype applications in AI domains such as computer vision, self supervised learning, multi-modality learning, etc.
• Collaborate closely with a team of scientists and researchers to conceptualize and iterate on software development.
• Develop and deploy data science prototypes, focusing on bringing machine learning models into production.
• Design and implement scalable, high-performance machine learning models, troubleshooting performance and accuracy issues.
• Work with technical and non-technical teams locally and overseas, effectively presenting proof-of-concepts to stakeholders.
• Build data cleaning and augmentation pipelines for machine learning and deep learning model-based projects.
• Automate processes and workflows for efficient delivery of data science products using 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/libraries.

Additional Default Duties:

• Maintain confidentiality of all information received (technical, business, legal, organizational, personal, etc.), whether classified as confidential or not, to prevent potential damage from unauthorized disclosure.
• Take reasonable, necessary, and appropriate steps to safeguard the confidentiality, integrity, and availability of company assets and information.

Education:

Highest Qualification: Degree, Masters, or PhD

Discipline: Engineering or Science

Experience:

• At least 2 years of relevant experience.
• Experience in real-world data science projects, including internships, hackathons, and personal projects.
• Expertise in Python programming and libraries for data processing, visualization, and model development (e.g., pandas, numpy, scikit-learn, matplotlib, seaborn).
• Proficient in API concepts and libraries, with experience in testing and deployment using frameworks such as Flask, Django, or FastAPI.
• Familiarity with databases (e.g., PostgreSQL, Minio) and SQL for data storage and retrieval.
• Knowledge of HTML/CSS/JavaScript and experience with front-end JavaScript frameworks (e.g., Angular, React) to design web interfaces for data science prototypes and deploy them.

Knowledge/Professional Skills:

• Engineering background with experience in Sensing, Controls, Automation, Optimization, and Manufacturing Processes.
• Expertise in Data Engineering & Analytics.

Personal Attributes:

• Excellent communication and collaboration skills.
• Strong analytical and problem-solving abilities.
• Passion for sustainability and a desire to make a positive impact.
• Intellectual curiosity with a commitment to continuous learning.
• Resourceful, positive, and solution-oriented attitude with a "can-do" approach.
• Adaptable and able to support a wide range of topics/activities as needed.
• Open and passionate about new technologies and innovations.
• Customer-oriented, with the ability to connect R&D, innovations, and business applications.
• Comfortable working on project sites locally and overseas.
• Excellent team player with strong interpersonal and communication skills (verbal and written) to thrive in a multicultural environment.
• Able to work independently with minimal supervision.
• Organized, with high attention to detail and accuracy.
• Capable of handling multiple assignments efficiently and meeting deadlines.