NEW MIND BİLGİ YÖNETİM SİSTEMLERİ A.Ş Staj Başvurusu – Senior Machine Learning Engineer

NEW MIND BİLGİ YÖNETİM SİSTEMLERİ A.Ş Staj Başvurusu – Senior Machine Learning Engineer staj başvurusu, stajyer, staj ilanıdır.

QUALIFICATIONS AND JOB DESCRIPTION

How to make A.I. Smarter: Are You In The Transformation?

If you are skilled in any field of artificial intelligence and are excited about how artificial intelligence transforms professions and the future, you can continue reading this post.

Who We Are

What we do is to usher in a smart and intelligent eco-system for legal practise and its stakeholders in Turkey, by creating various smart solutions and services, which are uniquely architected with a feature of Turkish natural language processing.

Identifying the changing needs and expectations of the profession and sector, based on real-world experience and feasibility studies, NewMind conceptually designs customized services and products with a vision to manage and maximize the capacity of lawyers for legal engineering.

Required Experiences and Skills

Bachelor’s degree in computer Engineer
Proficiency Java, Python
General understanding of machine learning algorithms (NLP, regressions, decision trees, neural networks),
2+ years working as an engineer in a data focused team building machine learning algorithms and predictive models,
Experience in Machine Learning Frameworks such as Scikit-learn, TensorFlow, Prediction.IO,
Self-motivated; independent, organized and proactive; highly responsive, flexible,
PhD is a plus,
Experience in NoSQL databases (elasticsearch,apachesolr),

What you’ll be doing

The Machine Learning Engineer will be responsible for developing custom solutions specializing in ML technology.
Able to engineer process patterns for the purposes of creating reusable assets within enterprise architecture.
Utilizes best practices to ensure automations meet business requirements and meets stated targets for efficiency.
Must be able to advise and/or develop multiple projects and ensure delivery within the given timeline.
Candidates must possess knowledge of mathematical and statistical methods as well as a proven ability to solve complex problems.