Data Scientist

Summary

Join Softeta, a technology company specializing in innovative software solutions, as a Data Scientist. You will be part of a dynamic team working on cutting-edge projects involving the organization and labeling of complex vehicle data. Your key role will involve developing Python scripts to automate data labeling, ensuring accuracy and efficiency at scale. This data will underpin advanced AI and machine learning applications. You'll collaborate with cross-functional teams and contribute to knowledge sharing and training initiatives. Numerous projects across diverse domains offer opportunities to shape innovative AI/ML implementations. The position requires proficiency in Python and machine learning frameworks.

Requirements

• Proficiency in Python, with hands-on experience in machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn, etc
• Proven experience in developing end-to-end ML/DL solutions, from data preparation to deployment
• Solid understanding of SQL for data manipulation and querying
• Familiarity with version control systems like Git
• Proven ability to work collaboratively in multi-disciplinary teams
• Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders

Responsibilities

• Create sophisticated analytics solutions with an emphasis on automated data labeling
• Collaborate with cross-functional teams from various departments to support the application and large-scale implementation of innovative data science and AI/ML concepts
• Facilitate knowledge exchange, assist with training initiatives, and enhance awareness
• Stay informed about the latest advancements in data science as well as AI/ML principles and theories to enable the business to make genuinely data-driven decisions
• Document developed methodologies and processes, and regularly present outcomes to stakeholders throughout the organization

Preferred Qualifications

Experience working with cloud platforms (AWS, GCP, Azure) for machine learning and deep learning models

Benefits

• Diverse and technically challenging projects
• Training budget for professional and personal growth
• Flexible working hours and hybrid or remote workplace model
• Flexible schedule and Agile/SCRUM environment
• Technical equipment which you can choose
• Health insurance