What are the responsibilities and job description for the Sr. Data Scientist position at Rapid Eagle Inc?
Benefits:
Onsite Role
Full time
JOB DUTIES & RESPONSIBILITIES:
- 401(k)
- Dental insurance
- Donation matching
- Relocation bonus
Onsite Role
Full time
JOB DUTIES & RESPONSIBILITIES:
- Design, develop, and deploy generative AI models for various applications with a focus on text generation and sematic 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.
- 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
