Remote Data Scientist

Description:

• The Data Scientist position is based in Istanbul and offers a contract role with remote work options.
• The role involves working on Tensor-based image recognition solutions for mobile devices, focusing on accuracy, performance, and optimization.
• Responsibilities include collaborating on the development and enhancement of a Large Language Model (LLM) trained with LLAMA frameworks.
• The candidate will perform data collection, preprocessing, and feature engineering to prepare datasets for model training.
• The role requires training, evaluating, and fine-tuning machine learning models for both image recognition and natural language processing (NLP) tasks.
• The Data Scientist will analyze model outputs, measure performance, and optimize algorithms for scalability and accuracy.
• Collaboration with engineers and stakeholders to integrate machine learning models into production environments is essential.
• Staying up-to-date with emerging trends and advancements in machine learning, computer vision, and NLP is expected.

Requirements:

• The candidate must have 1-2 years of hands-on experience in machine learning, data science, or AI development.
• Experience with TensorFlow or PyTorch for image recognition tasks is required.
• A solid understanding of LLMs and experience with frameworks like LLAMA for large-scale model development is necessary.
• Proficiency in Python for model building, data processing, and scripting is essential.
• Familiarity with libraries such as OpenCV, Scikit-learn, and NLP libraries (Hugging Face, Transformers) is required.
• A solid understanding of model evaluation techniques, performance metrics, and optimization strategies is necessary.
• Experience working with cloud platforms (AWS, Azure, or GCP) is a plus.
• Strong problem-solving skills and the ability to work collaboratively in a team are essential.

Benefits:

• The position offers the opportunity to work on handpicked projects that allow for immediate productivity and impact.
• OneTeam provides a stable and supportive environment for professional growth through a continuous handover approach.
• The role allows for effortless scaling of your career with opportunities to take on new challenges and expand your skill set continuously.