Data Science - Remote

Overview

We are seeking a skilled Data Scientist with strong software development skills to join our dynamic team. The ideal candidate will have experience in model evaluation, improvement, and analysis, as well as hands-on experience with AI and GENAI technologies. Knowledge of AWS and GPU computing is an advantage. Experience with RAG-based projects and vision language models is a significant advantage.

In Short

• Evaluate and improve machine learning models.
• Perform statistical analysis and interpret model results.
• Develop and implement AI models using Python.
• Utilize AWS services for model deployment and management - advantage.
• Leverage GPU computing for accelerated model training and inference - advantage.
• Collaborate with cross-functional teams to integrate AI solutions into products.
• Stay updated with the latest advancements in AI and machine learning.

Requirements

• Education: Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
• Experience: Proven experience in data science and software development.
• Skills:
• Proficiency in Python programming.
• Experience with AI projects based on Large Language Models (LLMs).
• Familiarity with basic principles of large language models, including prompt engineering and APIs such as OpenAI.
• Knowledge of RAG architecture.
• Experience with AWS and GPU computing.
• Advantageous Skills:
• Hands-on experience with RAG-based projects.
• Experience with vision language models.
• Hands-on experience with classification, detection, and segmentation models.
• Familiarity with vision model development, including data augmentation, transformations, and handling imbalanced data.
• Experience with the vision model training process.
• C++ programming
• Strong analytical and problem-solving skills.
• Ability to work independently and as part of a team.
• Excellent communication skills.
• Ability to stay current with emerging AI technologies and methodologies.

Benefits

• This position offers flexibility with options for remote work.
• Occasional travel may be required for team meetings and project collaborations.