We are seeking a talented and experienced Python Developer who has a strong background in Genetic Algorithms, Ant Colony Optimization, Math & Physics to join our team. 

The ideal candidate will be passionate about using their expertise in Python Developing to develop innovative solutions to complex problems.


  • Study and transform data science prototypes
  • Design machine learning systems
  • Research and implement appropriate ML algorithms and tools
  • Develop machine learning applications according to requirements
  • Select appropriate datasets and data representation methods
  • Run machine learning tests and experiments
  • Perform statistical analysis and fine-tuning using test results
  • Train and retrain systems when necessary
  • Extend existing ML libraries and frameworks
  • Keep abreast of developments in the field

Requirements and Skills

  • Proven experience as a Python Dev or similar role
  • Understanding of data structures, data modeling and software architecture
  • Deep knowledge of math, probability, statistics and algorithms
  • Ability to write robust code in Python, Java and R
  • Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
  • Excellent communication skills
  • Have knowledge in Genetic Algorithms, Ant Colony Optimization, Math & Physics
  • Ability to work in a team
  • Outstanding analytical and problem-solving skills
  • BSc in Computer Science, Mathematics or similar field; Master’s degree is a plus


  • Fully Remote


<strong>Work Time:</strong>

  • Flexible (Monday to Sunday)


<strong>Salary Range:</strong>

  • $20 - $50 per Hour (Negotiable)


If you are passionate about using your Python, math, physics, and machine learning skills to develop innovative solutions and want to work in a collaborative, fast-paced environment, we encourage you to apply for this exciting opportunity.

Interested applicants may send their CVs to davidpaul.kkdigital@gmail.com

machine learning python/java
Datos de la oferta laboral
Fecha de publicación
Lugar de trabajo
Permite trabajar remoto
Seniority requerido
Semi Senior
Email de contacto