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Leads end-to-end design and deployment of production-grade AI/ML and GenAI solutions, focusing on RAG platforms, agentic systems, and secure enterprise integrations using Python, AWS/Azure, and MLOps practices.
Build and deploy end-to-end GenAI/LLM applications (RAG, agentic workflows, evaluation pipelines) using Python, cloud platforms, Docker, and vector databases for a finance consulting firm in Pune.
Lead applied ML projects for industry clients, mentor junior staff, and translate academic research into practical solutions using Python, PyTorch, and related ML frameworks at an AI research institute in Edmonton.
Leads ML strategy, architecture, and team for a product company, designing signal processing and ML systems for production, optimizing model performance, and managing MLOps pipelines.
4-month co-op on an AI & Enterprise Applications team, designing and developing software applications and AI/ML solutions using Python/C#/.NET/Java, cloud platforms (Azure), and ML frameworks like TensorFlow and PyTorch.
4-month co-op on the AI & Enterprise Applications team helping design, develop, and deploy software and AI/ML solutions using Python, C#/.NET, Java, TensorFlow/PyTorch, and Azure.
Data Scientist designing and deploying fraud detection models and strategies for transactional anomalies using Python, R, SQL, PySpark, and cloud platforms like Azure and IBM Cloud Pak.
Builds GenAI and ML systems for actuarial finance, translating business problems into production-ready predictive/analytical solutions with explainability, governance, and operational controls.
This internship builds and maintains Python data pipelines to analyze historical quote data, develop AI models for pricing adjustments, and flag margin risks in a fintech quoting tool.
Lead the design and delivery of an agentic digital assistant inside Microsoft Teams for a major financial services client, building LLM-driven features, RAG pipelines, and persona-driven reporting using Python, AWS, and GenAI/LLM technologies.
To lead and optimize GenAI & Agentic AI Operations by driving efficient deployments, automation, and governance across platforms. The role ensures seamless issue resolution, performance monitoring, cost…
Senior ML Engineer working hands-on to define and develop technical solutions and architecture, collaborating with cross-functional leaders. Core stack: Python, PyTorch, scikit-learn, pandas, SQL, and LlamaIndex/crewAI for agents.
From Q-tech, we are collaborating with a large European technology company , part of a leading international retail and distribution group, that is looking for a Data Engineer to join a highly innovative squad within…
Overview This is an exciting time to join our group Commercial Engineering & AI (CEAI) as a Software Engineer and work on something highly strategic to Microsoft. The goal of the Commercial Engineering & AI…
Senior ML Engineer designing scalable AI platforms, defining governance frameworks, and leading cross-team ML strategy to deploy safe, high-impact models at Creai, a data-driven AI startup.
Analyzes battery and EV data to build reports and ML-ready datasets, using Python, SQL, and visualization tools in a manufacturing-focused energy tech company.
ABOUT SINGLESTORE & THE TEAM SingleStore is the Intelligence Platform powering real-time data, analytics, and AI experiences at enterprise scale. Internally, we practice what we preach through our AI &…
Build and deploy machine learning models and data pipelines for global clients, focusing on data engineering, model training, and MLOps with Python, PyTorch, and cloud platforms.
An AI Solutions Engineer designs and implements AI-driven architectures (e.g., LLMs, RAG) for clients, bridging technical expertise with business needs. They lead API/data pipeline development, mentor teams, and ensure scalable, ethical AI solutions—balancing R&D with production execution.
Hands-on Data Scientist supporting LATAM client engagements on Provenir's AI Decisioning platform, building and explaining predictive models, scorecards, and analytics using Python for financial services risk and decisioning use cases.
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