Seekr is looking for Data Scientists to deliver generative and predictive capabilities for US Government customers, focusing on designing, developing, and deploying AI/ML capabilities for various applications implementing generative AI and integrations with predictive capabilities.
Requirements
- Strong problem-solving abilities, solid background in algorithms and data structures required
- Familiar with generative AI concepts like RAG, prompt engineering, agents, structured output, multi-modal LLMs, various embedding models
- Strong programming skills in Python required. Experience in java and html a plus.
- Solid knowledge of machine learning tools (eg. scikit-learn, tensorflow, keras, pytorch, Spark MLlib) required
- Solid knowledge of LLM Frameworks such as LangChain, LlamaIndex,pydantic Transformers
- Familiarity with common APIs including OpenAI, GraphQL, FastAPI
- Familiarity with Databases and Retrieval Augmented Generation (RAG) technologies such as Pinecone, FAISS, OpenSearch, and Neo4j
Responsibilities
- Design, implement, and deploy machine learning algorithms for USG customers
- Design and develop prototype solutions incorporating both generative and predictive capabilities
- Serve as the subject matter expert on cutting-edge generative techniques to enhance the government team’s ability to produce meaningful insights
- Design, implement, and manage machine learning data pipelines
- Conduct research and development on agentic integration of capabilities and application to USG use cases
- Manage machine learning algorithm lifecycle
- Design and implement tests for machine learning algorithm effectiveness and performance monitoring
Other
- Active US Security clearance or eligibility and willingness to obtain a US Security clearance. Top Secret with SCI eligibility highly preferred.
- Interact directly with customers and subject matter experts, translating AI/ML concepts into practical language
- Support pre-sales efforts, identifying how the Seekr Platform could help satisfy customer requirements
- Graduate degree in Computer Science preferred with a strong background in machine learning required
- Comfortable interacting with customers and subject matter experts, translating complex AI/ML concepts into practical language and impacts