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Senior ML/AI Engineer in NYC builds and deploys production-grade AI systems for demand forecasting, consumer intelligence, and autonomous decision-making using Python, ML frameworks, and graph RAG architectures.
Build and improve a data warehouse system, troubleshoot issues, and collaborate with business teams to translate requirements into technical solutions using Scala/Java/Rust/Python and DevOps tools.
Builds ML models and algorithms to detect phishing threats and reverse-engineers attack vectors using Python/C# and SQL.
Build and deploy end-to-end data-science solutions—from model design to production—using Python, ML frameworks, MLOps and cloud-native tools to deliver measurable business impact.
Develops AI tools, predictive analytics, and data-driven insights for government programs, using Python/R/SQL, ML frameworks, and visualization tools like Tableau/Power BI to support defense and intelligence initiatives.
Lead a data-science team at an AV company, turning fleet, simulation, and ML data into safety metrics, release criteria, and autonomy-stack improvements for real-world transit deployments.
Build and deploy AI systems for edge and embedded environments, from R&D to production, focusing on model training, evaluation, optimisation, and MLOps to deliver real-world impact in demanding settings.
Develops and scales predictive modeling platforms (embedding-based sequence encoders, survival models, gradient-boosted decision trees) to identify vulnerabilities in housing, health, and social domains using ML pipelines, containerized systems, and responsible AI practices.
Designs and deploys advanced AI/ML systems (LLMs, agentic workflows, multimodal models) for government/commercial clients, optimizing for production, edge, and security.
Senior Data Scientist builds and deploys ML models for cybersecurity risk scoring and threat intelligence on SecurityScorecard’s ratings platform.
Build and productionize AI-powered workflows and ML models for IT management and cybersecurity products, integrating classification, recommendations, and automation into Kaseya’s platform.
Leads the design, deployment, and operationalization of AI/ML solutions for fintech, focusing on enterprise-wide automation, decision-making, and efficiency. Specializes in end-to-end ML lifecycle, MLOps, and scalable model production in cloud environments.
Research Engineer building and training large language models from scratch for coding tasks, deploying them into production to power JetBrains' AI platform.
Senior ML engineer builds and optimizes AI-driven feature pipelines and model training systems for a deep-learning ad platform, using Python, Spark, Kafka, and PyTorch.
Builds and deploys data models, ML pipelines, and AI-driven analytics to extract insights from complex datasets, using SQL, Python, and cloud platforms like AWS/GCP. Bridges technical and business teams by translating data into actionable strategies.
Build and deploy generative AI and ML solutions for federal clients, from RAG pipelines to agentic workflows, while standardizing reusable recipes and best practices for Snorkel’s tooling.
Build and deploy AI agents to automate physical engineering workflows (e.g., CAD, design specs) for infrastructure projects, accelerating tasks like data-center and energy-installation planning from weeks to hours. Own end-to-end features, from data ingestion to trusted outputs, while collaborating with domain experts.
Role As our Agentic AI Engineer, you will build the intelligence layer that sits on top of our knowledge graph: the part of APAS that turns structured regulatory and operational data into deterministic, citation-backed…
Builds explainable AI models (NLP, LLMs, retrieval systems) to analyze trillions of daily signals, enabling GTM teams to act on account insights via RevvyAI and APIs. Owns end-to-end ML pipelines, collaborates with product/GTM, and mentors engineers.
Senior Computer Vision Engineer builds and deploys AI models for object detection, image segmentation, and video analysis using PyTorch/TensorFlow, while considering real-world hardware constraints.
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