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The Senior Data Scientist develops and deploys advanced analytics and machine learning solutions on Azure, focusing on image processing and computer vision.

The Senior Data Scientist will utilize machine learning techniques and statistical analysis to develop models for classification, forecasting, and regression using various tools and programming languages.

Seeking an experienced Senior Backend Engineer skilled in Golang to develop scalable backend systems and APIs, collaborating with cross-functional teams. Responsibilities include building microservices, ensuring code quality, and supporting cloud deployments.

The Sales Director will focus on acquiring new clients in the Insurance sector, manage sales strategies, and engage with CxO-level executives to drive business growth.

Seeking a Senior Software Development Engineer to design, develop, and maintain automated test suites for frontend, backend, and integration testing.

The Principal Data Scientist will deliver AI products, manage GPT/LLM model development, collaborate on requirements, and improve model performance through data analysis and strategic thinking.

Lead a team of Data Engineers to modernize cloud infrastructure, migrate data to Google BigQuery, and develop scalable ETL pipelines.

Lead BI architecture for enterprise analytics using Power BI and Azure, owning data ingestion, transformation, semantic modeling, visualization, performance optimization, and stakeholder enablement. Mentor teams, drive BI best practices, support BI modernization, AI-enabled BI, metric governance, and deliver scalable, secure analytics solutions.

Work with healthcare stakeholders to discover high-value problems and rapidly design, prototype, and ship end-to-end AI solutions using Claude and modern AI stacks. Build LLM integrations, RAG, agentic workflows, APIs and lightweight front ends; apply responsible AI, HIPAA compliance, monitoring and governance; communicate ROI and technical tradeoffs to executives; iterate prototypes into production-ready, reusable components.

Lead end-to-end AI solution discovery, rapid prototyping, and full-stack development (LLM orchestration, RAG, agent workflows, REST APIs, UI). Partner with stakeholders to define MVPs, iterate to production with responsible AI practices (bias review, explainability, HIPAA, monitoring), and document reusable patterns for scale within healthcare engagements.