Machine Learning Engineering Trainee

hace 2 semanas


Madrid, Madrid, España Business Network Builders A tiempo completo
It's fun to work in a company where people truly BELIEVE in what they are doing

  • We're committed to bringing passion and customer focus to the business._
Description


Are you a digital enabler? Join our multicultural and interdisciplinary, quickly growing team of top IT professionals across Europe and Latin America to participate in exciting international projects with leading companies in all sectors.

About The Role


Seeking to harness the power of Machine Learning in consultancy? We are on the lookout for an Engineering intern specializing in Machine Learning to expand our dynamic consulting team.

If you possess an analytical mindset, revel in tackling technical problems, and are eager to deliver impactful data-driven strategies, you could be the perfect fit

Key Responsibilities Engage in data cleaning, preprocessing, and exploratory data analysis.- Assist in the development and validation of machine learning models.- Contribute to the implementation and deployment of machine learning solutions in cloud environments.- Communicate effectively with team members and stakeholders to present findings and solutions.- Research new models, data sources, implementations, and recent developments that can enhance the solutions of the department.


Qualifications & Professional Skills- Current enrollment or recent completion of a degree in Computer Science, Software Engineering, Electrical Engineering, or related fields.- Proficient in Python programming with familiarity in machine learning libraries such as scikit-learn, NetworkX, PyTorch, etc.- Understanding of data structures, algorithms, and software design principles.- Strong foundation in mathematics, particularly in statistics and linear algebra.- Acquainted with software development tools and practices, including version control (git), testing, and debugging.- Exceptional problem-solving abilities.- Team-oriented with a capacity for collaborative work in a team environment.- Strong planning, scheduling, and organizational capabilities.- A dedication to client service excellence.- Advanced level of English.


Preferred Technical Skills- Experience or knowledge of databases and SQL.- Familiarity with Cloud technologies (AWS, Azure, GCP).- Understanding of deploying machine learning models in a production environment.


Work Location & Schedule- Based in Madrid with flexibility for teleworking.- Part-time position with schedule adaptability.- Type of internship: Intra-curricular or extra-curricular internships, whatever you need- Duration of approx.

6 months, adjustable to university requirements.

Our vision is for this role to evolve into a permanent position, providing you with the opportunity to grow and establish a long-term career with us

We offer

Our perks & benefits are designed to help you grow. We want to make sure you have what you need for a long, productive, and fulfilling career with us. In BNB, we care about talent. We care about you

As well as a competitive salary, we offer a complete package that includes healthcare, training, and paid time off.

Here you have a summary of your benefits:

  • Learning & Growth Opportunities
  • Professional career projection.-
  • Language classes English, French, Italian, Spanish, German, Portuguese, Chinese, Dutch and Russian classes are available to keep practising your language skills.-
  • Good Vibes & Diversity Environment


Our focus is on taking care of the people around us, always treating them with humanity, warmth and closeness, regardless of their origin, culture and sexual-political-religious orientation.

We love it when your pets visit us at the office :
)- Global Perspective & People-centric Approach- Great and dynamic work atmosphere. International Business Environment. Coffee, tea and fruits for all at the office. Our dress code is NO dress code. Being relaxedThat's not all, folks

Enjoy other benefits such as Premium Healthcare Insurance.

Also, you will enjoy discounts on prestigious brands:
tech brands, theatre shows, sports, culture, fashion, home and many more

Be part of the digital transformation you'll be proud of

  • If you like wild growth and working with happy, enthusiastic overachievers, you'll enjoy your career with us_


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