Director of Generative AI

About the Company:

BitHealth is a leading technology company that leverages AI and ML to drive business growth and improve customer experiences. We are committed to delivering innovative solutions that make a significant impact on our customers' lives.

Job Summary:

We are seeking a highly skilled Senior Data Scientist to join our team and contribute to the development of cutting-edge AI solutions. The ideal candidate will have a strong background in machine learning, data science, and programming, with experience in designing and implementing AI solutions using LLMs.

Responsibilities:

• Design and Implement AI Solutions: Design and implement state-of-the-art AI solutions using LLMs to address critical business challenges.
• Lead AI Project Development: Lead the full lifecycle of AI projects from problem definition to deployment and monitoring.
• Research and Evaluate New Technologies: Research and evaluate new LLM technologies, techniques, and architectures to improve the performance, scalability, and efficiency of our AI solutions.
• Optimize and Enhance Existing AI Services: Identify areas for improvement in our current AI systems and implement solutions to enhance their accuracy, reliability, and overall performance.
• Mentor and Train Team Members: Provide technical leadership and mentor junior data scientists and engineers, fostering a culture of collaboration, innovation, and continuous learning.
• Collaborate with Stakeholders: Work closely with data analysts, data engineers, project managers, and other stakeholders to ensure the successful delivery of projects.
• Communicate Complex Concepts: Clearly and concisely communicate project progress, findings, and recommendations to both technical and non-technical audiences.
• Establish Best Practices: Establish and promote best practices for model development, deployment, and monitoring, ensuring the quality and reliability of our AI solutions.
• Contribute to Strategic Direction: Provide input into the long-term roadmap for our AI efforts, identifying opportunities to leverage LLMs to create new products and services.

Requirements:

• Education: Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, Mathematics, or a related field.
• Experience: 4+ years of experience in Data Science and Machine Learning, with a proven track record of successfully developing and deploying AI solutions in a production environment.
• Technical Skills: Deep understanding of Data Science and Machine Learning concepts, algorithms, and workflows, with a specific focus on Generative AI and LLMs.
• Programming Skills: Extensive experience with Python programming, including object-oriented design patterns and common data science libraries (e.g., TensorFlow, PyTorch, scikit-learn, Transformers).
• LLM Framework Experience: Experience with LLM Frameworks such as Langchain, Langgraph, or LlamaIndex.
• Database Management: Expertise in SQL and experience working with large datasets in cloud-based data warehouses (e.g., BigQuery, PostgreSQL, MySQL, SQL Server).
• Cloud Platforms: Strong proficiency with cloud platforms (AWS, GCP, Azure) and experience deploying and managing AI/ML models in the cloud.
• AI/ML Deployment Frameworks: Experience with AI/ML deployment frameworks such as API Serving (FastAPI, Flask) and containerization technologies (e.g., Docker, Kubernetes).
• Operating Systems: Proficiency with Unix/Linux environments and command-line tools.
• Communication Skills: Excellent communication, collaboration, and interpersonal skills, with the ability to effectively communicate complex technical concepts to both technical and non-technical audiences.