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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.
Software engineer building Python-based AI/LLM applications, RESTful APIs, and microservices with Docker/Kubernetes CI/CD pipelines at Cisco's Customer Experience engineering organization.
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.
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.
Lead AI Engineer architecting and delivering enterprise-scale agentic AI and generative AI solutions for Investment, Corporate, and Commercial Banking, using LLMs, Python/Java, RAG pipelines, and Kubernetes.
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.
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.
Radar Systems Engineer Ursa Space Systems is building ground-breaking solutions to deliver global intelligence to organizations around the world. Through our SAR/EO/RF satellite network, and data fusion expertise, Ursa…
Sr. Radar Systems Engineer About Ursa Space Systems Ursa Space Systems is building ground-breaking solutions to deliver global intelligence to organizations around the world. Through our SAR/EO/RF satellite network,…
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.
Machine Learning/AI Scientist PhD Intern at Netflix working on ML research including personalization algorithms, recommender systems, NLP, computer vision, and other ML areas using frameworks like PyTorch and TensorFlow.
Prototype, develop, and deploy AI-driven applications (especially LLMs) for media production systems at CBC/Radio-Canada's AI Lab, working across the full lifecycle in cloud architectures using Python/TypeScript/Java.
Senior AI Engineer architecting and implementing agentic AI solutions for semiconductor manufacturing process control at KLA's Dresden office, working with Python, C/C++, PyTorch, and web front-end technologies.
Architect and implement agentic AI solutions—multi-agent systems, reinforcement learning, and web front-ends—for semiconductor manufacturing process control at KLA's Dresden Software Center of Excellence.
Senior Associate Data Scientist developing and deploying ML/forecasting models to support business decision-making at Amgen's Hyderabad office, using Python, SQL, and MLOps practices across the full model lifecycle.
The Senior Lead AI Engineer will design and deploy foundational AI systems, including LLM customization, fine-tuning, and reinforcement learning, to enhance banking products. The role involves optimizing large-scale production AI infrastructure for performance and scalability using technologies like PyTorch, AWS, and vector databases.
This role involves developing and operationalizing generative AI and machine learning models to process unstructured data for financial services. The data scientist will collaborate with cross-functional teams to build scalable AI solutions using tools like PyTorch, LangGraph, and AWS to improve customer experiences.
Lead AI Engineer designing and implementing enterprise-scale AI solutions—LLM integration, RAG systems, agentic AI, MCP servers—within RBC's SDLC using .NET/C#, Java, and Python.
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