Machine Learning Engineer / Researcher

Mobica | Enabling Technologies

We are a global software services company, delivering enabling technologies that transform business outcomes. We offer scalable custom software engineering with technical and delivery excellence, across the stack, from chip to cloud.

Job Description

As a Machine Learning Engineer you will be responsible for designing novel machine learning algorithms that drive an exciting range of advanced user-focused products. This is an exciting opportunity to work closely with customer researchers and engineers to design and deliver algorithms that can have wide impact across both R&D and customer next generation of products.

The machine learning team has a strong track record in inventing breakthrough concepts that enable novel applications in future wearables, internet of things, smart environments, and personal devices.

Qualifications

• Masters or PhD in Machine Learning or a related field
• At least 3 years of programming experience with C/C++ language, Python, algorithms, AI / ML, parallel programming
• TensorFlow and Keras knowledge
• Experience in trend analyses, multivariate statistics (parametric / non-parametric), sampling, bias reduction, indirect estimation, data aggregation techniques, automation, generalization
• Experience doing novel research on ambiguous R&D projects (published papers in leading journals/conferences, experience working in advanced R&D labs).
• Open mind & a positive attitude
• Good communication skills in English, written and verbal

What you can expect from us?

• Learning by doing – you will work with industry experts who are willing to share their knowledge and experience
• Improving your skills by participating in training and mentoring programs
• Advancing your career by choosing from different career paths (technical, management)
• Broadening your horizons by working in an open and supportive multicultural environment
• Commercial projects from the domain
• Great atmosphere and supportive environment
• Working in a friendly and relaxed atmosphere created by a lot of bonding events and activities

• Competitive salary adequate to your skills and performance
• Flexible working hours
• Training programs
• Private medical insurance
• Multisport program
• English lessons
• Company social events
• Weekly cakes and fruits
• Relocation assistance