Overview
Skills
Job Details
Required Skills & Experience:
Expert on data science and GenAI, and lead dev process for app
Required to handle everything around the data science app to dev and deploy
Proven experience in coordinating, planning, and prioritizing tasks for medium-to-large engineering teams.
Hands on experience in GenAI architectures, RAG pipelines, vector databases, and prompt engineering.
Proficiency in Python, JavaScript, and TypeScript.
Familiarity with FAISS, Pinecone, Milvus, and retrieval optimization.
Understanding of cloud-based LLM providers like OpenAI, Anthropic, Google Vertex AI, and AWS Bedrock.
Experience in API design and integration architecture for AI/ML systems
Experience in building ETL workflows and data cleaning pipelines for production.
Practical experience with MongoDB, including querying and optimization.
Experience designing reporting and dashboard solutions with Plotly, Dash, PowerBI, or custom tools.
Skilled with Git, Docker, and CI/CD pipelines (GitHub Actions preferred).
Good debugging and performance optimization skills.
Ability to drive high-quality initiatives to completion in fast-paced environments.
Preferred Qualifications
Experience leading production-level GenAI or RAG deployments.
Experience building scalable data visualization frameworks and dashboards.
Proficiency with cloud platforms (Azure, AWS, or Google Cloud Platform) for data and AI.
Background in defining and implementing AI system metrics and KPIs
Experience in vendor evaluation and management for AI services
Good ability to collaborate and mentor across engineering, product, and data science teams.
Taras Technology, LLC is an EEO/AA Employer: women, minorities, the disabled and veterans are encouraged to apply