Remote Data Engineer

Description:

• Pavago is seeking a Data Engineer to work with a client on a contract, full-time, remote basis.
• The role involves enhancing algorithm performance and integrating machine learning models to improve predictive capabilities.
• Key responsibilities include collaborating with the team to develop methods for detecting anomalies in algorithm outputs, debugging and optimizing backend engine algorithms in Python and C#, enhancing algorithm performance for large-scale datasets, implementing machine learning models, applying prompt engineering techniques, and managing tasks using tools like Asana, Azure Boards, Slack, or Jira.
• A typical day will focus on refining complex algorithms, performing unit tests, debugging, optimizing algorithms for large-scale datasets, and collaborating with the team to troubleshoot issues.

Requirements:

• Proficiency in Python and C#, experience with threading, multithreading, and GPU processing, and knowledge of unit testing frameworks and methodologies are required.
• Familiarity with machine learning frameworks such as TensorFlow and PyTorch, as well as SQL, is a plus.
• Strong analytical and problem-solving abilities, the ability to diagnose code issues using visualizations, and proficiency in project management tools are essential.
• Experience in algorithm development and debugging in Python and C-based languages, working with large-scale datasets, and a background in machine learning is highly desirable.
• Candidates should have advanced algorithm skills, machine learning expertise, data processing mastery, and be proactive and detail-oriented.

Benefits:

• The position offers the opportunity to work remotely and engage in innovative projects that have a real-world impact.
• Candidates will have the chance to enhance their skills in algorithm optimization, large-scale data processing, and machine learning.
• The interview process includes an initial phone call, a technical test, a Zoom call interview, a final interview with the client, and background checks to ensure a thorough evaluation of candidates.