Machine Learning Jobs

As a member of our team, you will be responsible for the development and deployment of machine learning models that will be used to solve some of the most challenging problems in the industry. You should have a deep understanding of the entire ML lifecycle, including data preparation, model training, and deployment.

The project requires the development and deployment of Machine Learning (ML) models using various AWS components and tools. As a Senior Machine Learning Engineer, you will be responsible for designing, developing, and implementing ML models, along with managing the entire ML lifecycle. You will also work closely with cross-functional teams and stakeholders to deliver high-quality ML solutions that meet business requirements.

As a part of this team, you will be responsible for performing functional testing of software for network control enterprise solutions. You will work closely with development teams to ensure high-quality software delivery, and provide input and suggestions to improve the testing process and methodologies. To be successful in this role, you must have a strong understanding of AI/ML technologies and be up-to-date with the latest trends in the field.

As a Chief level candidate, you will be responsible for performing functional testing of software for network control enterprise solutions, developing and executing test plans, test cases, and test scripts. You will identify and report defects, issues, and risks in the software and collaborate with development teams to ensure high-quality software delivery. You will provide input and suggestions to improve the testing process and methodologies while staying up-to-date with the latest AI/ML trends and technologies relevant to the project. You will work independently and in a team-oriented environment while displaying excellent problem-solving and communication skills.

The successful candidate will be responsible for functional testing of software for network control enterprise solutions. You will work with an experienced team to develop and execute test plans, test cases, and test scripts and report defects, issues, and risks in the software. As a lead, you will provide guidance to the team and collaborate with development teams to ensure high-quality software delivery. You will also stay up-to-date with the latest AI/ML trends and technologies relevant to the project and provide input and suggestions to improve the testing process and methodologies.

As a Senior Cloud Engineer, you will be responsible for designing, building, and implementing highly complex machine learning systems using Spark and TensorFlow in Azure Kubernetes Service. The ideal candidate should be experienced in containerization technologies, including Docker, Kubernetes, and Helm, with excellent knowledge of Python and Azure Machine Learning Pipelines (AML). Knowledge and experience with machine learning are a plus.

We are seeking a highly skilled Senior Data Software Engineer to join our remote team, working with a leading provider of automotive solutions that simplify the trusted exchange and mobility of vehicles. As a Senior Data Software Engineer, you will play a crucial role in developing and implementing data-driven solutions that lead our Client's business forward. You will work closely with cross-functional teams to design, develop, and deploy scalable data pipelines and machine learning models, leveraging your expertise in Python, PySpark, and Amazon Web Services.

We are looking for a remote Lead Developer with 5+ years of Java development experience to join our team. The customer is a German multinational corporation that designs and manufactures shoes, clothing, and accessories. The main pool of tasks is associated with the development of the product for calculating manufacturing costs for the new models/articles of footwear in order to decide whether their production will be profitable or not.

You will be responsible for leading the development of a large-scale cloud-based project, leveraging your extensive experience in Java, AWS, and Machine Learning. You will lead the development team, working closely with cross-functional teams and stakeholders to ensure the delivery of high-quality software that meets the project's business objectives.