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Temporary position for 12 months, with possibility of extension. The Cybersecurity Monitoring Ecosystem Department is currently looking to add an ML/LLM and Generative AI specialist to the team responsible for the…
*Telecommuting role to be performed anywhere in the U.S. Analyze and process large-scale structured and unstructured datasets using SQL tools (PostgreSQL, PL/SQL, Spark SQL), API integrations (including Google Suite…
Company Overview Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax,…
This is a remote position. Position Overview We are seeking a highly skilled MLOps Engineer with deep expertise in the Databricks ecosystem to join our data team for a critical 6-month initiative. In this role, you…
Who We Are Building the AI-first frontier enterprise. We are a global technology consultancy with a trademarked, AI-first approach —Gen-e2™. It redefines how enterprises build digital products and transform their…
SustainRecruit are currently looking for a number of Data Engineers to work on a project based in London. This requirement will be a contract opportunity starting at 6 months + likely extensions and we require someone…
Semi-senior full-stack AI engineer building end-to-end software solutions (frontend, backend, databases) with ML/AI integrations like Azure OpenAI, LangChain, and RAG for a banking client in a hybrid setup in Santiago.
Meet Slingshot At Slingshot Aerospace, we're on a mission to make space safer and more secure for everyone. Our work directly impacts global security, disaster response, climate monitoring, and the critical…
Senior Data Scientist building ML models (clustering, anomaly detection, time-series forecasting) for automated telecom network optimization, using Python, MLflow, Elasticsearch, InfluxDB, MongoDB, and Kafka.
Helsing is seeking an applied Machine Learning Engineer to develop and deploy detection and tracking models for autonomous drone platforms. The role involves managing the full model lifecycle, from data curation to edge deployment, using frameworks like PyTorch and tools for model optimization.
Build and scale a machine-learning platform that trains, deploys, and governs models for Faire’s wholesale marketplace using Databricks, Spark, MLflow, and AWS.
The Data Scientist will design and develop end-to-end machine learning and analytical solutions to optimize passenger experience and operational efficiency. The role involves building models, implementing generative AI for cabin crew, and translating complex business problems into actionable data-driven insights using GCP, Python, and various data science libraries.
The Staff Machine Learning Engineer will design, deploy, and maintain production-grade ML systems to optimize revenue management and pricing strategies for the hospitality industry. The role focuses on MLOps, building scalable data pipelines, and ensuring the reliability of AI-driven features using technologies like Python, AWS, and Apache Airflow.
The Data Scientist will build and maintain machine learning models and data pipelines within a Databricks Lakehouse environment to support marketing intelligence. The role involves data preparation, feature engineering, and model evaluation using Python, PySpark, and SQL.
Lead AI/ML initiatives at a software supply chain security company, building models for malicious behavior and anomaly detection as well as GenAI experiences using LLMs, RAG, and agentic systems, primarily with Python, Databricks, and LLM APIs.
Capitole is seeking a Senior Data Scientist and ML Engineer to develop and deploy end-to-end predictive AI models. The role involves managing the full model lifecycle, from initial analysis to production monitoring.
The Lead Applied AI Specialist will bridge the gap between business challenges in the banking sector and scalable AI/ML solutions. The role involves mapping innovation opportunities, defining success metrics, and overseeing the implementation and governance of AI models to drive operational efficiency.
The Data Scientist will develop and manage machine learning models for wholesale power and gas market applications, including price forecasting and trading algorithms. The role involves the full ML lifecycle, leveraging deep learning and cloud technologies to support the Commodities team in the ERCOT and PJM markets.
Senior MLOps Engineer with 7+ years of experience needed for an AI-powered construction software company. Responsibilities: Design, build, and maintain infrastructure for deploying, serving, and monitoring machine…
Мы ищем талантливого и опытного MLOps, который сможет выстроить технически современную, удобную и прозрачную практику MLOps, оказывающую влияние на весь Сбербанк Страхование. Наша задача - развить MLOps практику в…
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