Machine Learning Engineer
2 weeks ago
Procys is a spin-off startup coming out of Openprovider, specializing in machine learning & AI solutions dedicated to automation. We’re on a mission to make work more enjoyable and efficient, through smart, automated business processes, helping teams to save time and money is what we do Our goal is to automate 50 billion hours of routine and repetitive work. One of our first solutions helps finance teams worldwide with their biggest data stream: invoices. Be part of the efficiency, be part of Procys
All Procys and Openprovider employees work on a fully remote basis and without any geographical limitations. You don’t have to go to the office each day and deal with traffic or painful commutes. All you need is yourself, a laptop, and a cup of coffee. We support a healthy work/life balance and constantly strive to improve this aspect more and more every day. We support a flexible schedule and are 100% performance and result-oriented.
We are on a mission to revolutionize the technology landscape by providing innovative solutions that meet our customers' evolving needs. As an ML Engineer in our dynamic team, you will play a pivotal role in developing and deploying machine learning models that drive our business forward. You will have the unique opportunity to work on cutting-edge projects, transforming complex data into actionable insights, and driving forward operational excellence and product innovation.
This role is designed for analytical thinkers who are passionate about machine learning and its potential to transform business operations. You will be at the heart of our strategy, working closely with stakeholders across all levels to define and implement machine learning solutions that propel us towards our business objectives. At Procys, we believe in empowering our employees to excel. As an ML Engineer, you will not only contribute to our company’s success but also embark on a journey of personal and professional growth, surrounded by a team that values innovation, integrity, and excellence.
Key responsibilities :
Model Development and Deployment: Design, develop, and deploy ML models to address business needs.
Data Processing and Feature Engineering: Prepare datasets through data cleaning and feature engineering.
Solution Design and Implementation: Collaborate with product managers to design and implement ML solutions.
Model Evaluation and Reporting: Evaluate model performance and present findings.
Continuous Improvement: Monitor and enhance model performance, staying updated with ML advancements.
What competencies are we looking for
Proficiency in ML algorithms and techniques.
Skilled in Python.
Strong analytical and problem-solving abilities.
Effective communication and stakeholder management skills.
Experience with data processing tools and databases
We offer
- 100% remote work (you can work from any location, no need to go to the office);
- Paid time off and sick leave;
- International team and regular online and offline events to stay connected;
- Internal workshops, and knowledge-sharing sessions;
- Quarterly review and annual salary review;
- Flexible working hours (we don`t have time trackers, we are a result-oriented company);
- We are an ISO 27001-certified remote workplace.
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