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Leads a data engineering team to design, optimize, and deploy large-scale data pipelines and ML models for autonomous driving and ADAS systems, focusing on perception and planning technologies using Toyota’s fleet data.
Build and deploy AI models for veterinary diagnostics using Python, Databricks, and generative AI to improve clinical decision-making and disease risk modeling.
Senior ML Engineer responsible for designing, building, and maintaining ML training pipelines and infrastructure for ad-targeting models in a fast-growing gaming/media company. Focuses on end-to-end ML ownership, performance optimization, and enabling data scientists with scalable, reproducible tools.
Lead AI/ML projects for clients, designing and deploying agentic systems, ML models, and cloud-native solutions while advising on technical architecture and delivery at scale.
Leads AI and technology consulting engagements for enterprise clients, designing and delivering scalable AI/ML solutions while managing teams and client relationships in sectors like energy, financial services, and government.
Build and deploy ML models for risk and intelligence products at scale, focusing on fraud detection and network analysis using Python, TensorFlow/PyTorch, and BigQuery.
Lead a team of data scientists and analysts to build and deploy ML models for Truecaller's enterprise products, focusing on risk mitigation, fraud detection, and business intelligence using Python, SQL, and cloud infrastructure.
Designs and scales GenAI-powered applications for ZEISS, focusing on enterprise-grade solutions like copilots, agents, and smart workflows using Azure and LLMs.
Role involves analyzing raw telecom data and web traffic for EDA, user profiling, and clustering using Python, SQL, and ML/DL libraries.
Разработка мультиагентной AI-системы для раннего выявления рисков в сегменте микробизнеса. Сбор данных, обучение LLM-агентов, построение прогнозных моделей и интеграция решений с финансовыми департаментами.
Data Scientist building end-to-end predictive ML models—from Snowflake data exploration through AWS SageMaker deployment—to drive customer retention, marketing strategy, and growth for a Dutch lottery that funds charities.
Build and deploy ML models, design data pipelines, and create dashboards to turn large datasets into business insights using Python, R, and modern AI frameworks.
About AI71: AI71 is an industry leader in artificial intelligence, delivering innovative solutions that empower developers, businesses and governments to solve complex challenges. AI71 builds secure, enterprise-ready…
Develop front-end applications using Angular, integrating AI/ML models and APIs to enhance user experience, working with cross-functional teams to implement and optimize AI-powered features.
Senior AI Engineer designing and deploying ML/DL models and LLM-based solutions for healthcare and business use cases, using Python, PyTorch/TensorFlow, NLP libraries, Docker, and cloud platforms.
Senior Systems Engineer builds and owns an AI-powered data-analysis tool for Navy submarine patrol data, using Python and ML to extract mission insights and automate workflows.
Build and deploy AI/ML models and RAG pipelines to turn Navy maintenance and logistics data into predictive tools that improve fleet readiness in a DoD GovCloud environment.
A fresher Computer Vision Engineer role at Busigence, where the day-to-day involves working with Python, OpenCV, TensorFlow/PyTorch to develop AI models for processing images and videos, preparing data, and building deep learning pipelines.
A Data Science Engineer role for a fresher, working remotely on data preparation, exploration, feature engineering, machine learning modeling, and automation using Python3, Numpy, Pandas, Scikit-learn, SQL, and PySpark.
Develop AI applications using natural language processing (NLP), working with data science teams to build models and processing pipelines with Python, TensorFlow/PyTorch, and other ML frameworks.
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