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Designs and deploys AI/ML solutions on Azure, integrating with business systems like Dynamics 365 and Power BI; focuses on architecture, MLOps, and cross-team collaboration to enhance client advisory services.
Master's thesis applying sequence-to-sequence deep learning to multivariate time series data from motorcycle test rides to predict riding states for future assistance systems, using Python, PyTorch, and XAI methods.
About Current Surgical Inc. Current Surgical is a startup company developing technology on the frontier of engineering and biology. Our first product is a smart microinvasive needle that precisely destroys tumors…
This role involves driving applied research and product-oriented data science for an Agentic AI platform, focusing on LLM fine-tuning, evaluation, and knowledge graph development. The position requires deep technical expertise in machine learning and production-scale AI deployments to deliver robust agentic solutions.
The Sr Fleet Analyst will develop analytics and KPIs to drive continuous improvement and strategic direction of the fleet, creating dashboards and reports. They'll use tools like SQL, Python, Tableau, and AI technologies to monitor fleet performance and provide insights to leadership.
Build and deploy agentic and generative AI solutions using Python, LLMs, and ML models to solve real business problems in a cross-functional team.
The Applied AI/ML Vice President will design, develop, and productionize AI/ML solutions for Asset & Wealth Management, utilizing Python, NLP, and machine learning frameworks. The role involves collaborating with stakeholders to solve complex business problems and coaching team members.
This role is a hands-on product leadership position responsible for the AI/ML roadmap of the Operator Suite, a B2B platform for venue parking management. The candidate will define product strategy while acting as an individual contributor to prototype and evaluate predictive models, dynamic pricing, and LLM-based applications.
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.
Senior Data Engineer at a defense/intelligence contractor, designing and implementing analytics (ML, geospatial, network science) for U.S. National Security customers using Python, R, SQL, TensorFlow, and Pandas—requiring significant prior intelligence analysis experience.
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, 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.
Generative AI and Data Science Intern building predictive ML models and GenAI solutions (RAG, hybrid search) using Python, pandas, scikit-learn, Azure ML Studio, and Microsoft Fabric to support R&D, Finance, Manufacturing, and other functions.
Lead Data Scientist designing, deploying, and monitoring ML/AI solutions (including NLP and GenAI) across Risk, Fraud, Marketing, and Portfolio Management in the payments and financial services space, using Python, SQL, and big data frameworks.
Data Scientist at FIS building and deploying predictive models and AI solutions across Risk, Fraud, Marketing, and Portfolio Management in financial services, using Python, SQL, and machine learning libraries.
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 Lead AI Engineer will design and deliver enterprise-scale AI and Agentic AI solutions within Mastercard's AI Center of Excellence. This role involves leading multidisciplinary teams to build production-ready AI platforms using Python, cloud-native architectures, and modern AI frameworks like LangChain and PyTorch.
The Senior AI Engineer will design, deploy, and manage enterprise-grade AI and Agentic AI solutions within Mastercard's AI Center of Excellence. The role focuses on productionizing AI models, implementing MLOps/AgenticOps, and building scalable, secure AI applications using technologies like Python, Kubernetes, and LLM frameworks.
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