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Koniag Services Inc., a Koniag Government Services company, is seeking a talented and innovative Data Scientist to support the development and implementation of advanced data science, machine learning, and predictive…
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Build AI-driven analytics tools in Python that turn large datasets into mission insights for government analysts, using ML, RAG, and rapid prototyping.
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Build production-ready AI systems using cloud AI services, generative models, and deep learning frameworks like TensorFlow or PyTorch.
Build production-grade AI systems using cloud AI services, generative models, and deep learning frameworks like TensorFlow or PyTorch to solve complex business problems.
Lead a team of data engineers building and operating the data platforms that power Grata’s private-market dealmaking platform, using Python, SQL, Spark/Databricks, and AWS.
Build and deploy ML models that drive business decisions for a large financial services firm, using Python, SQL, and cloud platforms to solve real problems end-to-end.
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Build statistical and ML models for healthcare analytics and pharma marketing mix modeling to optimize spend and strategy using Python, SQL, and cloud tools.
Build and deploy AI/ML models for healthcare claims processing using PyTorch/TensorFlow, MLOps pipelines, and cloud tools to reduce payment inaccuracies and waste.
Build and optimize AWS-based ETL/ELT pipelines using Redshift, S3, Glue, and Lambda to move and transform data for analytics and AI/ML workloads.
Principal ML Engineer designs, builds, and deploys production-grade AI systems using LLMs and deep learning, integrating agent workflows across GCP, AWS, and Azure.
Lead a team building generative AI and agentic systems for healthcare, including LLMs, RAG, and AI agents, from prototyping to production with MLOps and Responsible AI practices.
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