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Senior data scientist building and deploying AI/ML and GenAI solutions for social impact, from design to production, using Python and full-stack engineering.
Lead a national benchmarking program evaluating Indian AI models for agricultural advisory, coordinating government, academic, and technical partners to produce decision-ready evidence for integration into live advisory systems.
The Data Scientist will develop algorithms and predictive models to solve complex problems for clients using Python, machine learning, and AI frameworks. This role requires active TS/SCI clearance and involves analyzing both structured and unstructured data to provide actionable insights.
Become a part of our caring community The Lead Software Engineer codes software applications based on business requirements. The Lead Software Engineer works on problems of diverse scope and complexity ranging from…
Consultant Machine Learning & Knowledge Graph Engineer Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic…
Senior Full Stack Engineer owning end-to-end features on an AI-led hiring platform, building with React/TypeScript on the frontend and backend services on AWS, while integrating NLP and generative AI capabilities.
Develops and scales automated frameworks for Android XR app compatibility, integrating AI/ML (LLMs, computer vision) to detect UI/rendering issues across physical devices, emulators, and cloud environments. Works with Android XR teams and third-party developers to improve XR app experiences.
Senior ML Software Engineer at RBC Borealis in Toronto, building and scaling machine learning products (generative AI, NLP, time series) across the full lifecycle from data processing to production deployment, primarily using Python.
Develops AI/ML solutions for fintech products, prototyping generative AI, NLP, and time-series models while collaborating with business teams to integrate research into scalable software.
Software developer on the Developer Connect Insights (SDLC Graph) team, building a service that correlates SDLC events with application runtimes using Java, C++, Python, or Go on large-scale cloud infrastructure.
Leads analytics/AI architecture for medical device engineering, designing scalable data products and AI solutions (predictive models, GenAI tools) to integrate into business processes while ensuring data quality, security, and responsible AI practices.
As an AI Engineer / Data Scientist at Delta-N, you will develop and deploy production-ready AI solutions, including predictive models and AI agents, using Python, JavaScript, and Microsoft Azure.
ML Engineer evaluating and optimizing Foundation Models and generative AI systems for Apple Media Services, building evaluation frameworks and MLOps pipelines using Python, PyTorch, and LLM tooling.
Senior Data Scientist & Engineer builds and owns data infrastructure, trains and deploys LLM-based and traditional ML models, and analyzes product usage to drive AI-powered HR compliance decisions for a SaaS global employment platform.
The Principal Data Scientist will build and own data infrastructure, develop LLM-based and traditional machine learning models, and analyze product usage to drive product strategy for G-P's AI-powered HR agent, GIA. This role requires a versatile expert capable of handling data engineering, data science, and product analytics in a fast-paced, startup-like environment.
Develops and maintains AI/ML models for Google’s Search Ads auto-bidding system, optimizing bid predictions to improve advertiser ROI and satisfaction using deep learning and large-scale systems.
Software engineer on Google's Maps/Geo team implementing GenAI solutions using LLMs and ML infrastructure, with work on spatial data structures and computational geometry algorithms.
Build and deploy AI/ML models end-to-end for an insurance client in Milan, using Python/Java/C and LLM libraries.
Data Scientist & AI Engineer role in Rome (hybrid, 3 days/week on-site) focusing on Python-based ML/NLP solutions, leveraging HuggingFace, OpenAI, and generative AI technologies.
Designs and leads agentic search architecture combining LLMs and retrieval systems to answer complex contract-related questions, driving eval-driven improvements in search quality and content understanding for Ironclad’s AI platform.
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