Top AI & Machine Learning Jobs

Own strategy, architecture, reliability, security, and lifecycle of the enterprise data and AI platform stack (Snowflake, Dataiku, Power BI, Semarchy, Collibra). Define roadmaps, establish engineering standards and guardrails, drive modernization (lakehouse, cloud-native, containerization), ensure resilience, observability, zero-trust data access, and governance. Lead platform engineering, SRE, vendor management, and influence cross-functional senior stakeholders in a regulated defense environment.

Own strategy, architecture, reliability, security, and lifecycle of the enterprise data and AI platform stack (Snowflake, Dataiku, Power BI, Semarchy, Collibra). Define roadmaps, engineering standards, and guardrails; drive modernization (lakehouse, cloud-native, containerization); ensure integration, observability, incident response, resiliency, and zero-trust data access. Lead and develop engineering, SRE, and platform operations teams; manage vendors, budgets, and influence senior stakeholders on platform investments and risks.

The EO Imagery Analyst Lead will provide technical direction, assess sensor characteristics, process EO imagery data, and communicate analysis findings.

The Senior SAR Imagery Analyst provides geospatial and imagery expertise, conducts assessments, integrates new data, and communicates analysis methodologies for SAR imagery products.

The Senior EO Imagery Analyst / Scientist analyzes EO imagery for ML testing, assesses sensor capabilities, and standardizes data formats for model testing.

The analyst will leverage multi-INT data for curation and development of labeled data for Machine Learning, focusing on SAR imagery. Responsibilities include recommending curation strategies and addressing data gaps for diverse datasets.

The Senior SAR Imagery Analyst/Scientist analyzes SAR imagery, provides geospatial expertise, and improves data systems for ML applications.

The Senior EO Imagery Analyst will provide geospatial expertise, assess sensor capabilities, and improve data quality for Machine Learning applications.

Design, develop, and deploy end-to-end machine learning and large language model solutions. Perform data discovery, cleaning, preprocessing, and visualization. Build/train LLMs and Agent+RAG systems, collaborate with stakeholders and AI teams, and apply graph-based analysis to support enterprise integration and analytics.

As a Machine Learning Subject Matter Expert, analyze, validate, and improve ML systems, mentor teams, and drive product innovation within a collaborative environment.