Top Machine Learning Jobs in Leon

The Data & Automation Lead will oversee data cleansing, ingestion, and automation, collaborating with product and engineering teams to ensure data reliability and effectiveness in product features.

Manage a team of cloud engineers and architects, oversee data delivery engagements, handle technical responsibilities, and interface with clients for technical improvements.

The Solutions Consultant will engage with customers to deploy Snowflake solutions, enhance internal tooling, and deliver outcomes for modernization projects.

The IT Consultant will design finance processes, lead automation initiatives, and manage SAP FI/CO solutions while ensuring project readiness and ongoing support.

Lead machine learning initiatives, oversee product development, improve execution pace, enhance team reliability, and foster team growth at Hightouch.

The Account Executive will develop and close business opportunities, achieve sales quotas, and collaborate with cross-functional teams within the enterprise market.

The Senior Product Manager will own and drive the development of Kraken's Algorithmic Execution & Strategy Engine, focusing on execution algorithms, API specifications, and client engagement to optimize trading strategies.

As a Data Scientist at Zicasso, you will analyze complex datasets, develop predictive models, and optimize customer experiences using AI and machine learning techniques, while collaborating with cross-functional teams.

Lead technical client engagements in machine learning and AI, shape strategy, influence architecture, and ensure high-quality outcomes for clients by leveraging AWS services.

Train and evaluate AI models for computer vision tasks, assess model accuracy, create training data annotations, and suggest improvements for visual data interpretation.

Design and build simulation environments for robotics research, implement RL algorithms, and evaluate policies for stability and transfer potential. Collaborate with teams and document results.

Lead a team of ML engineers, manage client engagements, and provide strategic advisory on ML architecture while driving pre-sales. Ensure team growth and quality of deliverables.

The role involves designing and implementing GenAI and MLOps solutions, developing production-ready ML code, and collaborating with Data Science teams to integrate AI models. It demands hands-on experience in data processing, cloud architectures, and AI concepts.

As a Senior Machine Learning Engineer, you will collaborate on LLM applications, focusing on scalability, API integration, and data management for production-quality systems.

Lead design, development, and deployment of production ML models. Work with large datasets to build predictive pipelines, collaborate with data engineers on cloud architectures, automate MLOps/CI-CD, mentor junior staff, and communicate insights to stakeholders to inform business decisions.