Top Machine Learning Jobs in Brasilia
As a Senior AI/ML Engineer, the role involves building machine learning models for search and recommendations, analyzing data to gain insights, and optimizing recommendation systems while collaborating with different stakeholders to impact business outcomes.
As a Senior Machine Learning Engineer, you will build and manage ML applications, collaborating with teams to design architectures and ensure the delivery of scalable solutions. Responsibilities include developing ML systems, maintaining core functionalities, mentoring engineers, and implementing latest ML tools and frameworks.
Responsible for driving the team designing and maintaining Data & Analytics architecture, ensuring alignment with business goals. Lead the team in designing, building, and maintaining data pipelines, establishing data governance, deploying ML models, and ensuring data accuracy and security. Collaborate with cross-functional teams and stay updated on data systems trends.
As a Software Engineer at Black Crow AI, you will collaborate with cross-functional teams to develop and maintain scalable data pipelines and manage data solutions. The role involves designing efficient architectures for data models, troubleshooting, optimizing data processes, and participating in a supportive agile engineering environment.
The Advanced Accelerator Program focuses on training engineers in either LLMs or MLOps, providing them with the skills to design, build, and maintain ML systems. Program graduates will master scalable ML solutions and apply software engineering best practices in production environments.
The DataOps/ML Engineer will develop high-quality applications, contribute to challenging projects, and utilize advanced AWS services for machine learning. Responsibilities include coding in Python, using ML monitoring tools, and managing automated deployment pipelines in a collaborative environment.
The Head of Data will lead data-driven decision-making, oversee product data science and analytics, and collaborate closely with data engineers and scientists to enhance monetization, engagement, and retention. This role emphasizes hands-on involvement in problem-solving within a modern data stack, ensuring a world-class learning experience for customers.
As a Machine Learning Solutions Architect, you will design data solutions, extract data for analysis, define deployment strategies for models, and provide thought leadership on technology choices. You will implement infrastructure and ensure that data science models can be effectively utilized by businesses.
The VP of Technology, Data & AI is responsible for leading a team of data and AI engineers, shaping data strategies, overseeing data architecture, and driving innovative AI solutions. This role involves collaboration across teams to ensure project delivery aligning with business goals, while fostering a culture of innovation and excellence.
As a Software Engineer, you will architect and develop scalable AI applications, focusing on generative AI solutions. Your responsibilities include creating Web APIs, managing applications on cloud platforms, and collaborating with teams to ensure impactful user experiences. You will also conduct code reviews, mentor junior developers, and lead the full SDLC process while staying updated on AI trends.
The Senior ML Backend Engineer will design, build, and maintain scalable backend systems for enterprise security products. Responsibilities include translating business goals into technical specifications, working with various architectures, writing code in Python and JavaScript/TypeScript, ensuring code quality with tests, and participating in code reviews. The position requires 5+ years of experience in production systems and knowledge of orchestration platforms and databases.
The DataOps/ML Engineer role involves developing high-quality applications, utilizing AWS services and machine learning tools. Responsibilities include automating deployment pipelines and implementing ML monitoring systems, while collaborating in a dynamic environment. Candidates should have strong coding experience and familiarity with various technologies in cloud and machine learning.
The Senior Solutions Architect at OfferFit will work closely with the Sales team to educate enterprise customers about the AI product, conduct proofs-of-concept, and facilitate technical discussions. They will also lead workshops and collaborate with various functions to enhance product offerings while building strong relationships with stakeholders.
As a Generative AI ML/LLM Engineer, you will lead a team to build and deploy solutions for managing scalable private cloud deployments while communicating requirements and architectural designs for data platforms. You will evaluate technologies to address customer use cases and mentor your team.
Top Companies in Brasilia Hiring Machine Learning Engineers
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