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Build and deploy machine learning models and data pipelines for global clients, focusing on data engineering, model training, and MLOps with Python, PyTorch, and cloud platforms.
Hands-on Data Scientist supporting LATAM client engagements on Provenir's AI Decisioning platform, building and explaining predictive models, scorecards, and analytics using Python for financial services risk and decisioning use cases.
Designs and maintains high-performance infrastructure for large-scale generative AI and machine learning workloads, including distributed systems, GPU compute, and MLOps pipelines in a financial firm.
Senior AI/ML Ops Engineer in Bangalore designs and deploys scalable AI/ML pipelines, automates CI/CD workflows, and optimizes cloud infrastructure for Smartsheet's global SaaS platform.
Data Scientist building production NLP/LLM solutions (RAG, semantic search, NER, summarization) on Databricks with Python for a SaaS platform serving energy and utility infrastructure sectors.
Builds and maintains data pipelines and ML workflows across multi-cloud platforms (Hadoop, BigQuery, Snowflake, etc.) to optimize data workflows and support scalable data platforms for HSBC’s analytics technology team.
The Data DevOps Engineer will develop, deploy, and maintain data pipelines and machine learning workflows within a multi-cloud environment. The role involves collaborating with data scientists to optimize analytics platforms using tools like Python, Kubernetes, and various Big Data technologies.
The Principal Scientist will lead AI/ML and computational projects across early-stage ventures, overseeing method development, platform design, and LLM-based agentic workflows. The role involves managing cross-functional teams and driving technical strategy to accelerate scientific discovery in human health and sustainability.
Data Scientist, P&C Insurance - Remote Upland Capital Group, Inc. is an AM Best rated “A-” VIII specialty property/casualty insurer headquartered in Dallas, Texas. Through its wholly owned insurance carrier, Upland…
The Machine Learning Engineer will design, develop, and deploy scalable ML models for Capital Markets applications using Python, PySpark, and various ML frameworks. The role involves managing the full ML lifecycle, including pipeline development, model optimization, and production integration.
The Lead ML/AI Platform Engineer will own the end-to-end machine learning infrastructure, including training, model serving, and integration with Java microservices. The role focuses on driving the company's GenAI and agentic workflow strategy using AWS-based tools and open-source ML frameworks.
Design, deploy, and maintain cloud and on-prem infrastructure for aerospace and defense systems, ensuring reliability and security for remotely piloted aircraft and surveillance platforms.
Lead data-science projects at a UK automotive marketplace, building ML-driven features like personalised recommendations, search improvements, and AI tools for listings while mentoring analysts and engineers.
чем предстоит заниматься: разрабатывать и доводить до продакшена модели компьютерного зрения, решать задачи речевой аналитики: транскрибация звонков, диаризация спикеров, извлечение сущностей и интентов, оценка…
The Data Scientist will develop machine learning, generative AI, and agentic AI solutions to solve complex business challenges at Manulife. The role involves analyzing large datasets, building AI-enabled models, and collaborating with cross-functional teams to drive strategic decision-making.
The Data Infrastructure & MLOps Engineer will design, build, and maintain scalable data pipelines and machine learning platforms to support Doodle's B2B SaaS products. The role focuses on automating infrastructure, ensuring system reliability, and enabling efficient model deployment using technologies like Python, SQL, and cloud-native tools.
This role involves building production-grade agentic systems and AI-ready data platforms for enterprise clients using Snowflake, dbt, Airflow, and LLM frameworks. The engineer will focus on unstructured data extraction, agent orchestration, and establishing evaluation practices for non-deterministic AI workflows.
Build and deploy machine learning models for startups and life-science companies using Python, PyTorch, and TensorFlow in a fully remote, globally distributed team.
Construção e manutenção de pipelines de dados escaláveis e confiáveis, utilizando tecnologias modernas de processamento distribuído para garantir a ingestão, transformação e disponibilização de dados com qualidade e…
Senior ML Product Engineer building and operating personalized communication systems (send decisioning, AI-assisted content, intelligent funnel) for HelloFresh in Warsaw, using Python, Spark, Databricks, Go, Kafka, and Kubernetes.
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