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Title

Python Developer with Machine Learning Experience 

EOE Statement Eccalon provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

EEO is the law.
 
Category Software Development  
Description

***This is NOT a remote position***

 

Job Description

We are seeking a skilled Python Developer to join our team, working with machine learning to build innovative solutions. This role is ideal for someone with a passion for developing advanced systems and applying machine learning techniques to complex, data-driven challenges. As part of our team, you will work on cutting-edge projects that require the application of the latest research in machine learning and deep learning.

 

Key Responsibilities

  • Design and implement Python-based systems for machine learning applications.
  • Develop and optimize machine learning workflows, including dataset creation, data exploration, and data wrangling.
  • Create and refine training pipelines and preprocessing modules for faster experimentation.
  • Implement and train machine learning models using techniques like unsupervised learning, convolutional networks, and transformers.
  • Work on integrating machine learning models into production environments using cloud platforms such as AWS or GCP.
  • Collaborate closely with engineers to ensure the deployment of models into scalable, production-grade systems.
  • Communicate complex technical details and progress to non-technical stakeholders.

 

 

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • At least 3 years of professional experience in Python development.
  • Proficient understanding of machine learning fundamentals and data-driven model development.
  • Experience in implementing machine learning systems and putting models into production.
  • Familiarity with various machine learning architectures such as convolutional networks, autoencoders, and transformers.
  • Experience using cloud platforms (AWS or GCP) for deploying machine learning models.
  • Strong communication skills and the ability to work both independently and in a team setting.

 

Preferred Qualifications

  • Master’s or PhD in Machine Learning, Data Science, or a related field.
  • Extensive experience working with high-throughput data environments and data lakes.
  • Advanced knowledge of machine learning frameworks, particularly PyTorch or TensorFlow.
  • Publications in machine learning or AI journals or conferences.
  • Experience with advanced techniques such as generative adversarial networks (GANs) or time-series applications.
 
Full-Time/Part-Time -unspecified-  
Exempt/Non-Exempt Non-Exempt  
About the Organization Eccalon provides global solutions to the most challenging technological issues of the 21st-century, and our evolving portfolio spans five major markets: Machine Learning, Cybersecurity, Aerospace & Defense, Material Sciences, Advance Manufacturing, Sports Science, Biotechnology, and Health & Life Sciences.


Why Join Us?


Eccalon's Executives foster a supportive work environment allowing our teams to thrive, and have a fierce dedication to innovation, security, and people. Our culture is built on inclusion, teamwork, trust, and we are committed to offering career advancement opportunities to all employees. Encouraging a healthy and balanced life, we offer an extensive benefits package to support the wellness of our employees and their families. You will be joining a team of innovators, working with cutting edge technologies, supporting mission critical projects, and making an impact.


Apply today to advance your career!
 

This position is currently accepting applications.

Apply Now



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