Machine Learning Engineer
4 settimane fa
Team & Culture lit is an innovative startup operating in the field of Smart Energy that use AI and ML to monitor domestic and commercial consumption with a single, non-invasive device, reducing electrical waste and related emissions. We are uniquely positioned in an exponentially growing market, with a CAGR of 26% and a global value of 155B€. In lit you will find a young, fluid and highly technological reality, based on data for decisions and ethics for everything else. We put the desire to innovate and enthusiasm first. You will also have the opportunity to participate in team building initiatives and extra-work events such as investor days, trade fairs, presentations and interviews. Join our company means take our core values and make them yours. Our business card is: “Working with brilliant people makes us brilliant. One mediocre member lowers the performance of the whole team”. If you believe strongly in that, we’d like to meet you. Training & Development Our team members are… our greatest assets and we strongly want someone that can stand out of the crowd. You will have the opportunity to be the key figure of our Software Department and learn the latest trends and know-how in the IoT sector. We strongly look for communication skills, autonomy in work, proactivity and reliability. Your work will make the difference for many people. Profile
- You hold a Master’s degree in Computer Engineering and Artificial Intelligence, Data science, Mathematics for Engineering, and similar;
- You have deep knowledge of major programming languages (Python, R, SQL);
- You are proficient in Machine Learning, particularly with regard to Signal Processing;
- You master libraries like Numpy/Scipy/Pandas/Matplotlib/Scikit-learn
- You are an expert in the area of inferential statistics;
- Superb analytical skills and proactive approach to problem solving;
- You are fluent in English;
- You love working in team;
- You have oustanding project and time management skills
- An entrepreneurial mind is considered an asset.
- Management of large databases, extraction and coding of information
- Data augmentation and new dataset creations
- Creation of Machine Learning algorithms (classical ML and Deep Learning)
- Knowledge to perfection of signal processing
- Provide technical support for program management and business development activities including proposal writing and customer development
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