Sr Data Scientist

Benefits:

• 401(k)
• Dental insurance
• Donation matching
• Relocation bonus

Sr. Data Scientist Generative AI

Onsite Role

Full time

JOB DUTIES & RESPONSIBILITIES:

• Design, develop, and deploy generative AI models for various applications with a focus 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/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, such as engineering and product management, 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.

WORK EXPERIENCE AND EDUCATION 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.
• Experience working on cutting-edge technologies to solve problems using Retrieval Augmented Generation (RAG), Fine-tuning LLMs, Prompt tuning, Graph RAGs, Knowledge graphs, etc.
• 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.

Flexible work from home options available.