Top Software Engineer Jobs
The Sales Engineer will provide pre-sales and solution selling expertise to support strategic accounts. Responsibilities include conducting workshops, developing demo applications, understanding engineering workflows, qualifying leads, and collaborating with various teams to facilitate smooth transitions from pre-sales to post-sales while also addressing customer requirements and challenges.
Seeking a Director, Developer Enablement at Accuris to lead the Dev Enablement team and ensure products are deployed efficiently and securely. Responsibilities include defining roadmaps, setting standards, and engineering solutions to meet development needs.
Join Accuris as a Senior Software Engineer in Poland, working on the Core Intelligence platform to enhance and develop information retrieval solutions using advanced ML models. Responsibilities include designing microservice-based systems and collaborating with cross-functional teams for product delivery. Bachelor's degree in Computer Science and 8+ years of experience required.
Experienced Lead Software Engineer needed to develop and maintain high-quality applications using .NET technologies within an Agile environment. Responsibilities include implementing microservices architecture, cloud integration, collaboration with cross-functional teams, and ensuring code quality through code reviews and continuous improvement practices.
Lead Software Engineer responsible for designing and implementing scalable, cloud-based solutions with a focus on microservice architecture. Must have strong knowledge of information retrieval, experience with modern search systems, and familiarity with AWS.
Join as a Data Science Engineer at Accuris, a company specializing in engineering workflows and solutions. Develop and maintain data processing pipelines with a focus on parsing and analyzing unstructured content using advanced ML models. Collaborate with a dedicated team to enhance existing solutions and drive digital transformation in engineering organizations.
Develop and maintain core backend components of data processing pipelines using Python and Go. Design and optimize APIs, algorithms, and data structures to improve efficiency. Utilize GPUs for model serving and ensure seamless integration of data scientists' models into production. Deploy and scale services in AWS with Kubernetes orchestration.
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