Binary Studio is a custom software development agency with a focus on long-term projects. We leverage exceptional Ukrainian engineering talent to build world class solutions for tech companies.
24 жовтня 2024

Python Machine Learning Engineer (вакансія неактивна)

за кордоном, віддалено

We are looking for a skilled Python Machine Learning Engineer to join our healthcare project for U.S. hospitals. The ideal candidate will have a strong background in machine learning, data analysis, and software development. You will work on designing, developing, and deploying machine learning models that drive hospital staffing decisions.

Responsibilities:

  • Model Development: Design, develop, and train machine learning models to solve complex problems.
  • Data Analysis: Analyze and preprocess large datasets to extract meaningful insights and features.
  • Algorithm Implementation: Implement machine learning algorithms using Python and associated libraries (e.g., scikit-learn, TensorFlow, PyTorch).
  • Performance Optimization: Optimize and fine-tune models for performance, scalability, and accuracy.
  • Deployment: Deploy machine learning models into production using tools such as Docker, Kubernetes, and cloud services (AWS).
  • Collaboration: Work closely with data scientists, software engineers, and other stakeholders to integrate machine learning solutions into products and services.
  • Documentation: Document processes, models, and results for knowledge sharing and reproducibility.
  • Research: Stay updated with the latest research and advancements in machine learning and AI, and apply new techniques to improve existing systems.

Talents you will bring in our team:

  • 5+ years of experience in machine learning, data analysis, and software development.
  • Proficiency in Python and popular machine learning libraries (e.g., scikit-learn, TensorFlow, Keras, PyTorch).
  • Strong understanding of machine learning algorithms and statistical methods.
    Experience with data preprocessing techniques and tools (e.g., pandas, NumPy).
  • Knowledge of software engineering practices, including version control (Git), testing, and code reviews.
  • Familiarity with AWS cloud platform and containerization technologies (Docker, Kubernetes).
  • Experience with Postgres databases.
  • Strong problem-solving skills and analytical thinking.
  • Excellent communication and collaboration skills.
  • Ability to work independently and as part of a team in a fast-paced environment.
  • Strong organizational skills and attention to detail.

It would be nice if you have:

  • Experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
  • Knowledge of timeseries modeling.
  • Ability to research and implement ML models.
  • Previous experience implementing successful models


What we offer:

  • Ambitious goals and interesting projects
  • We have one of the most competitive software development academy in Ukraine — Binary Studio Academy. In 2023, it became international and attracted more than 15,000 applicants. It’s a free online initiative that offers intensive training to participants. As a member of our team, you’ll have the opportunity to enroll as a coach or lecturer in the academy and hone your leadership and project management skills!
  • Regular & transparent performance and salary review based on results of work
  • Mentorship and Personal Development Plans for everyone in the company by request
  • Regular educational events from our internal experts (you can be one of them)
  • Possibility for both vertical or horizontal growth

Benefits program:

  • Paid vacation, paid sick leaves, 10 Public holidays, additional days off
  • Educational budget and support in receiving certificates/attending conferences, etc.
  • English lessons

Comfortable Working conditions:

  • Flexible working hours
  • Amortization program or provision of required equipment

Community:

  • Various corporate events (psychological training, based on employees’ needs to care about mental health, New Year celebration, team buildings, etc)
  • Celebration of important personal and project milestones (project successes, B-days, anniversaries, marriage, childbirth)
  • Support of team members during russian aggression (evacuation, safe accommodation in Western Ukraine, financial support for those who joined Armed Forces, donations, etc.).