Job summary:

Our data scientists are responsible for supporting research in computer vision, and machine/deep learning, and implementing new state-of-the-art algorithms to support research-and-development goals. You will play a crucial role in leveraging data to address real-world challenges, with a particular focus on data cleansing, processing, and transformation in order to turn raw data into meaningful insights.

Responsibilities:

• Conduct thorough research to gain a deeper understanding of the problems at hand, potentially involving the review of academic papers.
• Clean, process, and manipulate both structured and unstructured data.
• Support Machine Learning Engineer team in turning real-world problems into AI/ML and data processing challenges, with a focus on data cleansing and transformation.
• Build and maintain a robust database or data corpus.
• Collaborate with AI/ML teams to experiment with various data processing and machine learning solutions, analyze results, and present comprehensive reports to the team.
• Work with production AI/ML and data processing systems to effectively address assigned challenges

Preferred requirements & competencies:

• Proficiency in SQL for data cleaning, querying, and manipulation.
• Exceptional analytical skills to investigate and optimize models’ performance.
• Some foundational knowledge of artificial intelligence and machine learning, with expertise in both theory and application.
• Familiarity with machine learning frameworks such as TensorFlow or PyTorch.
• Proficiency in writing complex, efficient programs for data processing and machine learning is a plus.
• Proven experience in developing and deploying Machine Learning models is a plus.

Preferred requirements & competencies:

• People with strong logic skills who value evidence over emotions
• People who not only solve problems but also understand their solutions
• Team members who have a high sense of ownership in their work
• Team players who are always looking for ways to help out others
• People who are proactive and take initiative