Python Machine Learning Engineer in Binary Studio

Python Machine Learning Engineer

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We are looking for a skilled Python Machine Learning Engineer to join our healthcare project. 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:
Professional Growth opportunities:

• Ambitious goals and interesting projects
• We have one of the most competitive software development academy in Ukraine — Binary Studio Academy. In 2022, it became international and attracted more than 10,000 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.).