Machine Learning Engineer

Dettagli della offerta

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


Salario Nominale: Da concordare

Risorsa: Talent_Ppc

Funzione Lavorativa:

Requisiti

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