As an AI/Machine Learning Engineer, you will lead the development and deployment of advanced machine learning models and AI solutions, collaborating with cross-functional teams to drive innovation and deliver impactful AI-driven products for federal programs.

As a senior AI/ML engineer, you will hold a crucial position within our dynamic team, actively contributing to thrilling projects that reshape data analytics for our clients, providing them with a competitive advantage. You will collaborate with product managers, data scientists, and software engineers to identify AI/ML opportunities and develop innovative solutions.

Drive the development and implementation of cutting-edge machine learning algorithms and train sophisticated models; collaborate with product, engineering, and analytics teams to build AI functionalities into Atlassian products and services; design system and model architectures.

Point Wild is building the Trailblazer AI Team, and as a Senior AI Engineer, you will play a critical role in building, deploying, and operationalizing machine learning models that drive innovation across the company. This role is hands-on, requiring expertise across the entire AI development lifecycle. You will collaborate closely with R&D teams to scope AI initiatives, rapidly prototype models, and ensure scalable, maintainable AI solutions.

We are seeking a skilled and experienced Software Engineer for our growing Data Platform team. You will be responsible for designing, developing and maintaining our data infrastructure, including data pipelines and data warehouses. This role will play a pivotal part in driving our data strategy, enabling advanced analytics, and supporting Generative AI and Machine Learning operations at scale.

Develop and improve machine learning models for trade classification, entity classification, and entity resolution. Implement data preprocessing pipelines and feature engineering techniques. Evaluate model performance using appropriate metrics and validation techniques. Collaborate with data engineers to integrate ML models into production systems.

The main objective is to work on the development of BV's new Generative AI Platform, accelerating Generative AI initiatives, providing mentoring, technical analysis, and guidance on Deploys of Generative AI applications, designing, implementing, and deploying Generative AI application pipelines, ensuring scalability, performance, and security.

The person will work on a generative AI platform enabling the creation of solutions for conversational products. We work in an agile model with a constant search for results through experiments and short validation cycles. Therefore, we are looking for someone who likes and has ease working in a dynamic environment, oriented to metrics and with excellent software engineering practices.

As a Machine Learning Engineer at Datatonic, you'll engineer code in Python and develop production-grade software for machine learning and data-driven solutions. Responsibilities include developing ML solutions, participating in project scoping, optimizing machine learning solutions for performance/scalability, and ensuring efficient data flow between databases and backend systems.

Como Cientista de Dados com ênfase em MLOps na e-Core, você será responsável por atualizar e modernizar modelos de aprendizado de máquina, migrando-os para uma nova e avançada arquitetura de aprendizado de máquina baseada na AWS. Também será responsável por projetar, implementar e manter sistemas de aprendizado de máquina de ponta a ponta que sejam escaláveis, confiáveis e eficientes.