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NVIDIA Inception is our free global programme for start-ups building with AI, data science and accelerated computing — now more than 40,000 companies worldwide, with over 2,000 of them based in India alone. South Asia…
The Senior AI Engineer will design and deploy production-grade autonomous agents and multi-agent systems for financial institutions using Python, LLMs, and AWS. The role focuses on building reusable agent architectures, integrating enterprise tools, and implementing MLOps practices for long-running AI workflows.
The Staff Product Software Engineer (ML) will lead the development of prediction and optimization engines for Disney's advertising platforms. The role involves designing scalable AI/ML solutions, mentoring team members, and collaborating across teams to enhance ad serving capabilities using Java, Python, and Scala.
Lead a team of data scientists and engineers to build and deploy AI, ML, and optimization solutions that improve supply chain performance and drive enterprise impact in a healthcare and medical device company.
This AI Engineer role involves designing, developing, and industrializing generative AI solutions using Google Cloud Platform, including RAG architectures and AI agents. The position requires strong Python skills and experience managing the full lifecycle of AI models from development to production.
The AI Engineer will modernize legacy training and compliance platforms by integrating production-grade AI systems, including LLMs, RAG pipelines, and autonomous agents. This role involves working within a .NET/C# stack to build scalable, secure AI-native architectures while driving business impact.
The Data Engineer will design and implement scalable data pipelines, data warehouses, and semantic models to support enterprise analytics in the healthcare domain. The role involves leveraging AWS cloud services, Power BI, and dimensional modeling to ensure data governance and high-performance reporting.
Senior Machine Learning Engineer on the Applied Science Data Frameworks team building foundational infrastructure for large-scale multimodal AI training and inference, working with distributed systems, data engineering fundamentals, and ML infrastructure using technologies like PyTorch, Apache Ray, Spark, and Docker.
Senior Software Engineer at Cisco's CX Engineering org building AI-driven solutions, scalable back-end systems, and MLOps pipelines using Python, Go/TypeScript, Kubernetes, Kafka, and cloud platforms.
Senior AI Engineer at PwC Greece's Process Excellence & Intelligence team in Athens, building and deploying agentic AI systems, RAG pipelines, and ML models to optimize client operations using Python, PyTorch/TensorFlow, and Azure/AWS/GCP.
Senior Data Scientist building and deploying predictive ML models for collections and customer engagement analytics. Day-to-day work involves feature engineering, model training/validation, and production ML pipelines using Python, SQL, and frameworks like XGBoost, LightGBM, and TensorFlow.
Data Architect responsible for defining, evolving, and governing Toyota LatAm's lakehouse data platform architecture, including data modeling, security standards, and governance practices using cloud data platforms like Azure, AWS, and Databricks.
Technical Product Owner leading the strategy, roadmap, and delivery of digital products supporting toxicology workflows at J&J, combining scientific domain expertise with hands-on technical skills in Python/R, SQL, REST APIs, cloud, and ML frameworks.
Technical Product Owner owning the roadmap and delivery of digital products supporting toxicology workflows at J&J, integrating LIMS/ELN systems and using Python/R, SQL, REST APIs, containerization, CI/CD, and cloud platforms.
Design and deliver production-grade ML and Generative AI systems—including LLMs, RAG, and Agentic AI workflows—using Python, agentic frameworks, and major cloud platforms as an individual contributor on Fortive's AI and Automation team.
Data Scientist at MANTECH in Fort Meade, MD, driving statistical analytics and cloud-based data solutions for national security missions using Python/R/SQL and preparing workflows for future ML integration.
Design, develop, deploy, and support production-grade AI/ML solutions using Python, PyTorch, scikit-learn, and Azure, working across the full machine learning lifecycle at State Street in Bangalore.
Lieu : Issy-les-Moulineaux, France Construisons ensemble un avenir de confiance Thales est un leader mondial des hautes technologies spécialisé dans trois secteurs d’activité : Défense & Sécurité, Aéronautique…
Build deep learning models from scratch (custom transformer architectures) to detect fraud and account sharing at Adobe in Bangalore, owning the full ML lifecycle from feature engineering on Databricks/Spark through large-scale GPU training to production deployment and monitoring.
Senior Data Engineer building data pipelines, ETL jobs, and cloud data platforms (AWS/Azure) for consulting clients, using Python, Terraform, and GitLab.
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