What you'll do:

• Designing, developing, and implementing generative AI models and algorithms utilizing state-of-the-art techniques such as GPT, VAE, and GANs.
• Collaborating with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.
• Conducting research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services.
• Optimizing existing generative AI models for improved performance, scalability, and efficiency.
• Developing and maintaining AI pipelines, including data preprocessing, feature extraction, model training, and evaluation.
• Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders.
• Contributing to the establishment of best practices and standards for generative AI development within the organization.

What makes you a great fit:

• LLM: Hands-on experience with large language models, including training and fine-tuning.
• NLP: Strong expertise in natural language processing techniques and tools.
• ML/AI: Proficiency in machine learning and artificial intelligence algorithms and frameworks.
• Python: Advanced programming skills in Python, with experience in data processing and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• FastAPI: Experience in developing and deploying APIs using FastAPI.
• Cloud Platforms: Familiarity with cloud platforms (e.g., AWS, GCP, Azure) for deploying AI/ML models.
• Version Control: Proficient in Git for version control and collaboration.