Published: Sun, 15 Dec 2024 08:50:19 GMT
Senior Python EngineerPosition Type: Contract, Full-Time, Remote
Working Hours: CST
About Pavago:
Pavago is seeking a Senior Python Engineer to join our dynamic team and work with a client. The role involves enhancing algorithm performance and integrating machine learning models to improve predictive capabilities. If you are passionate about algorithm development and machine learning, apply now and become part of our innovative company.
Key Responsibilities:
– Collaborate with the team to develop methods and protocols for detecting and flagging anomalies in the algorithm’s output.
– Debug and optimize backend engine algorithms in Python and C# with the Director of Research.
– Enhance algorithm performance for large-scale datasets using threading, multithreading, and GPU processing techniques.
– Implement machine learning models to improve statistical modeling and predictions.
– Streamline workflows and improve efficiency through prompt engineering techniques.
– Utilize tools like Asana, Azure Boards, Slack, or Jira for project management and team communication.
Requirements:
– Proficiency in Python and C#, with experience in threading, multithreading, and GPU processing.
– Knowledge of unit testing frameworks and methodologies.
– Familiarity with machine learning frameworks (TensorFlow, PyTorch) and SQL is a plus.
– Strong analytical and problem-solving abilities, with the ability to diagnose code issues using visualizations.
– Proficiency in project management tools.
– Knowledge of prompt engineering and a passion for implementing AI into workflows.
– Experience in algorithm development and debugging in Python and C-based languages.
– Experience working with large-scale datasets and a background in machine learning is highly desirable.
What Makes You a Perfect Candidate?
– Extensive experience developing and debugging algorithms in Python and C#.
– Proficiency in implementing machine learning models and frameworks such as TensorFlow or PyTorch.
– Adept at working with large-scale datasets and optimizing computational tasks using threading, multithreading, and GPU processing.
– Proactive and detail-oriented, with a strong commitment to code quality and performance optimization.
What Does a Typical Day Look Like?
Your day will involve refining complex algorithms, performing unit tests, and debugging the backend engine. You’ll also optimize algorithms for large-scale datasets and work with machine learning models to improve predictive capabilities. Additionally, you’ll collaborate with the team to troubleshoot issues and enhance the workflow with prompt engineering techniques.
Interview Process:
– Initial Phone Call: Discuss your experience and suitability for the role.
– Technical Test: Assess your technical proficiency through a test.
– Zoom Call Interview: Explore your technical expertise and professional background in a 30-minute session.
– Final Interview: Meet with our client to confirm alignment with project needs.
– Background Checks: Verify references and past employment.
Ready to Apply?
If you’re passionate about algorithm optimization, large-scale data processing, and machine learning, this is the perfect opportunity for you. Submit your application today and join us in building innovative solutions that will have a real-world impact!
About the company:
Pavago – Connecting You to Global Remote Opportunities 🌍
At Pavago, we redefine the boundaries of talent recruitment. We specialize in connecting remote talents with companies seeking global expertise. With us, your geographical location will not restrict your career aspirations.
🌟 Why Consider Opportunities Through Pavago?
– Competitive Pay: Receive the salary you deserve, regardless of your location.
– Broad Horizons: Explore a wide array of remote positions spanning diverse industries and regions.
– Skill Enrichment: Work alongside international teams, contribute your unique insights, and advance your career.
– Embrace a realm where opportunities transcend borders. Join us in pioneering the next era of remote work. 🚀
Explore global opportunities with us today! Apply link
