Machine Learning Engineer

3 settimane fa


Lazio, Italia Nlp People A tempo pieno

Omninext is an ecosystem of highly specialized interconnected companies that enables public and private enterprises to digitize products, services and processes through strategic consulting and cutting-edge digital solutions. We are a group of professionals, technology experts, software developers, designers and entrepreneurs and operate in different markets developing specific solutions. For the Rome office, with a view to expanding our staff, we are looking for a Junior Machine Learning Engineer with good theoretical knowledge of the main machine learning and deep learning practices and minimal field experience. Basic requirements: - Bachelor's degree in Engineering, Computer Science, Data Science or scientific disciplines (Physics, Mathematics, etc); - Good knowledge of written and spoken English (B2-C1); - Good knowledge of written and spoken Italian (B2-C1). Having locations throughout Italy, fluency in online communication is required. - Academic experience with Python and a… Deep Learning Framework (preference: Keras/Tensor Flow). - Basic knowledge of popular libraries for statistical analysis, machine/deep learning. - Immediate availability for national and international travel. You will fit in well with us if you have: - Strong communication skills to transform data into understandable elements; - Ability to work closely with other data scientists and product management teams to ensure our solutions deliver continuous value to end customers; - Strong drive to achieve goals and team design of solutions; Tenure: - Commercial-Tertiary Collective Bargaining Agreement. - RAL: 21K – 28K Benefits: - €8 meal vouchers per day - Corporate Welfare Contratto di lavoro: Tempo pieno Istruzione: - Laurea triennale (Preferenziale Company: OMNINEXT Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Industry, Italy, Machine Learning, NLP #J-18808-Ljbffr


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