Senior Data Scientist
4 weeks ago
We are seeking a highly skilled Senior Data Scientist with expertise in Generative AI to lead our team's innovation efforts. This role will report to the Director, Artificial Intelligence and be based out of PRGX's Atlanta office.
Key Responsibilities:
Design, develop, and deploy cutting-edge generative AI models for various applications, focusing on text generation and semantic entity extraction. Collaborate with stakeholders to identify business needs, define project scopes, and establish data-driven solutions. Mentor junior data scientists and interns, providing guidance on best practices and industry standards. Stay up-to-date with the latest research and advancements in Generative AI and related fields. Collaborate with other teams to integrate models into production environments. Establish and maintain documentation for models, algorithms, and processes. Ensure all projects meet quality, performance, and security standards. Communicate complex concepts and findings effectively to both technical and non-technical audiences.
Requirements:
Master's degree in Computer Science, Statistics, Mathematics, or a related field required. Ph.D. preferred. Proven experience (3-5 years) as a Data Scientist or Machine Learning Engineer, with experience in deploying Generative AI-based solutions in production. Strong background in machine learning, deep learning, and probabilistic modeling. Proficiency in modern data science tools and frameworks, such as PyTorch, Tensorflow, JAX, Scikit-learn, and Keras. Experience designing and implementing large-scale data pipelines and processing systems. Experience working with server-side frameworks like FastAPI as well as API development, documentation, and versioning. Familiarity with cloud platforms (AWS, GCP, or Azure), CI/CD tools (Jenkins) and containerization technologies (Docker, Kubernetes). Strong programming skills in Python and experience working with version control systems (Git). Excellent communication and teamwork skills. Experience mentoring junior colleagues and interns.
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