What are the responsibilities and job description for the Data Scientist position at Smart IT Frame LLC?
Job Description:
We are looking for a highly skilled Data Scientist with expertise in Generative AI to join our innovative AI team. The ideal candidate will have strong experience in machine learning, deep learning, and natural language processing (NLP) to develop cutting-edge generative models that drive business solutions. You will work on various AI-driven projects, from text and image generation to synthetic data creation and AI-powered automation.
Key Responsibilities:
- Develop, train, and optimize Generative AI models (e.g., GPT, DALL·E, Stable Diffusion, GANs, VAEs, etc.).
- Research and implement state-of-the-art deep learning and NLP techniques.
- Fine-tune large language models (LLMs) for specific business use cases.
- Design and build scalable AI-powered solutions for real-world applications.
- Collaborate with data engineers, ML engineers, and product teams to integrate AI models into production.
- Conduct experiments, analyze results, and improve model performance and efficiency.
- Stay up to date with the latest advancements in Generative AI and propose innovative solutions.
- Ensure AI solutions are ethical, fair, and aligned with company and regulatory standards.
Required Qualifications:
- Bachelor's/Master’s/PhD in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field.
- Strong understanding of deep learning architectures (Transformers, RNNs, CNNs, GANs, VAEs, etc.).
- Hands-on experience with Generative AI frameworks (Hugging Face, OpenAI, TensorFlow, PyTorch, etc.).
- Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Experience with large-scale data processing and cloud platforms (AWS, GCP, Azure).
- Familiarity with LLM fine-tuning, prompt engineering, and AI safety principles.
- Strong problem-solving skills and the ability to work in a fast-paced environment.
- Excellent communication and teamwork skills.
Preferred Qualifications:
- Experience in multi-modal AI (text, image, video, and audio generation).
- Knowledge of MLOps and deployment of AI models in production environments.
- Contributions to open-source AI projects or research publications in AI/ML.
