About The Role:
This role requires advanced skills in developing deep learning technologies, with a strong emphasis on Python programming. The successful candidate will join a highly skilled virtual team, playing a critical role in various phases of the software development lifecycle. This position offers the opportunity to work on cutting-edge machine learning projects, contributing to the development and deployment of innovative solutions.
Key Responsibilities:
- Development and Collaboration: Work closely with data scientists and domain experts to develop machine learning and deep learning features. This involves collaborative problem-solving and innovative solution development.
- Project Management: Oversee the entire scope of data science projects, from initial research and conceptualization through to development, testing, and final deployment. This includes managing timelines, resources, and deliverables to ensure project success.
- Data Preprocessing: Handle the preprocessing of both structured and unstructured datasets. This includes data cleaning, normalization, and transformation to ensure high-quality input for analytical processes.
- Data Integrity: Maintain data integrity throughout the analytical processing and analysis stages. Ensure that data is accurate, consistent, and reliable for generating actionable insights.
- Performance Metrics: Establish and monitor performance metrics for the developed software solutions. Continuously track and optimize the performance of machine learning models and applications.
Required Skills and Experience:
- Python Proficiency: Demonstrate exceptional command of Python programming, including experience with scientific frameworks such as TensorFlow or PyTorch for model training and deployment. Strong coding skills and the ability to write efficient, clean, and maintainable code are essential.
- Containerization Expertise: Experienced in using Docker or Kubernetes for containerization. Ability to create, manage, and deploy containerized applications efficiently.
- Independent Working: Capable of working independently in a dynamic and distributed setting. Strong self-motivation, time management, and organizational skills are required to thrive in a remote work environment.
- Machine Learning Knowledge: Comprehensive knowledge of applying machine learning and deep learning techniques to practical and complex datasets. Experience in designing, implementing, and optimizing machine learning models for real-world applications.
- Remote Work Skills: Comfortable working in a remote setting and proficient in using digital communication tools such as video conferencing, screen sharing, and collaborative software. Strong communication skills are essential for effective collaboration within the virtual team.
This role offers a unique opportunity to contribute to the forefront of technology in a supportive and innovative team environment. If you are passionate about deep learning and have the required skills and experience, we encourage you to apply.