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Lead AI/ML development for autonomous systems, building and deploying Python models with TensorFlow/PyTorch and full-stack C#/.NET/JavaScript apps to support unmanned aircraft systems.
Analyze diverse datasets to uncover trends and anomalies, build statistical models, and produce insights for strategic decisions using SQL, Python libraries, and visualization tools.
Lead a team to build data analytics, automation, and GenAI solutions for banking operations, using SQL, Python, Tableau, and LLMs to deliver insights and streamline workflows.
Build and scale ML systems for identity resolution, audience intelligence, and personalization across WBD’s streaming brands using Databricks, Snowflake, and AWS.
Join the Mission at Cyber B.A.T. At Cyber B.A.T., we believe in one simple idea: Take care of those that take care of you. We’re a Service-Disabled Veteran-Owned Small Business delivering engineering, cybersecurity,…
Build evaluation and benchmarking infrastructure for an agentic AI platform at a cybersecurity company, using Python, LLM evaluation frameworks, knowledge graphs, and vector databases.
Join as a Gen AI Solutions Engineer — Premier Cloud Job Type: Full-time Travel: Up to 30% (customer sites, Google offices, industry events) Salary Range: $125,000 – $200,000 CAD per year. Actual base salary is based on…
About the Role In this role, you will design and deploy classical machine learning solutions — from time series forecasting and predictive modelling to optimization and dynamic scheduling systems — within…
Senior Machine Learning Engineer, Recommendation and Personalization Location: Los Angeles, California, United States; San Francisco, CA, United States Department: Center for Data & Insights (CDI) About Crunchyroll…
Analyze logistics data to build dashboards, KPIs, and predictive models that guide strategic decisions and optimize operations for a LatAm-focused shipping startup.
Lead the design, training, and deployment of production-grade ML models in Python for high-growth clients, using cloud infrastructure and MLOps tooling to drive business decisions.
Build and deploy ML models to match renters with properties, improve marketplace ranking, and optimize renter acquisition and partner supply using Python, SQL, and cloud platforms.
Build and maintain the quantitative software platform for a systematic trading firm, developing ML tools and infrastructure to support large-scale financial market experiments and model deployment.
Principal ML Engineer builds next-gen foundation models from petabyte-scale telematics data to assess driver risk, detect crashes, and improve road safety using transformers and self-supervised learning.
Lead a data science team in India to build predictive models for marketing campaigns, optimizing direct mail and paid media efforts to improve customer targeting and ROI for a fintech small-business banking platform.
Build, train, and deploy AI/ML models for defense and national security use cases using Python, TensorFlow/PyTorch, and deep learning.
Build and deploy AI/ML models to extract insights from structured and unstructured data for government clients, using Python, TensorFlow, and cloud platforms like AWS or Azure.
Build and tune ML models (LLMs, CV) to turn complex data into actionable insights for special operations intelligence, using Python, TensorFlow, and PyTorch.
Teach data science fundamentals and mentor students via live sessions, 1:1 calls, and project reviews using Python and ML libraries.
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