Data Scientist

About OneTeam:

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An Enabling Agent: Enable your success as we embrace a continuous handover approach. Our adaptable members fit seamlessly into nearly all projects, providing a stable and supportive environment for your professional growth.

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Responsibilities:

• Work on Tensor-based image recognition solutions for mobile devices, ensuring accuracy, performance, and optimization.
• Collaborate on the development and enhancement of a LLM (Large Language Model) trained with LLAMA frameworks.
• Perform data collection, preprocessing, and feature engineering to prepare datasets for model training.
• Train, evaluate, and fine-tune machine learning models for both image recognition and NLP tasks.
• Analyze model outputs, measure performance, and optimize algorithms for scalability and accuracy.
• Collaborate with engineers and stakeholders to integrate ML models into production environments.
• Stay up-to-date with emerging trends and advancements in machine learning, computer vision, and NLP.

Qualifications:

• 2-3 years of hands-on experience in machine learning, data science, or AI development.
• Experience working with TensorFlow or PyTorch for image recognition tasks.
• Understanding of LLMs and experience with frameworks like LLAMA for large-scale model development.
• Proficiency in Python for model building, data processing, and scripting.
• Familiarity with libraries such as OpenCV, Scikit-learn, and NLP libraries (Hugging Face, Transformers).
• Solid understanding of model evaluation techniques, performance metrics, and optimization strategies.
• 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.

Preferred Skills:

• Experience deploying machine learning models on mobile devices.
• Familiarity with edge AI frameworks (e.g., TensorFlow Lite or Core ML).
• Knowledge of fine-tuning pre-trained LLMs for domain-specific tasks.
• Exposure to Agile workflows and version control systems like Git.