Machine Learning Specialist

Full Time
Posted 2 years ago

Information Technology, Machine learning Specialist

Are you a bright & passionate Machine Learning Specialist looking for an opportunity to advance your career?

If you are a team player who strives for engineering and technical excellence and enjoys in bringing innovation in a fast paced environment, we have a perfect job for you!

We are looking for a Machine Learning Specialist to join our dream team!

We offer excellent development prospects, the ability to develop your skills to the highest level and be compensated with a competitive salary.

You will lead all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production.

The ideal candidate will be passionate about artificial intelligence and stay up-to-date with the latest developments in the field.

Machine Learning Specialist duties and responsibilities

  • Research, design, and implement machine learning applications.
  • Ensure that machine learning applications are available to product.
  • Keep up-to-date with new technologies that may be able to support machine learning applications.
  • Aid product development teams in coming up with new ideas for machine learning applications.
  • Understand the necessary data requirements to implement machine learning applications.
  • Able to prototype machine learning applications and quickly determine application viability.
  • Prepare and analyze historical data and identify patterns
  • Provide technical support for program management and business development activities including proposal writing and customer development
  • Own and manage knowledge sharing within a community



Academic degree – examples:

  • Degree in Computer Science, Engineering, statistics or related quantitative discipline with a focus on Machine Learning/AI/Reinforcement learning or related areas with at least 3 years of experience
  • Strong quantitative background: A degree in Computer Science, Computational Linguistics, Physics, Mathematics or related field.
  • A B.S./M.S./Ph.D. degree in Computer Science or related engineering fields.

Other requirements

  • Solid engineering and coding skills, with the ability to write high-performance production quality code
  • Proficiency in Python as well as the numerical libraries such as Scikit-Learn, Pandas, NumPy, and SciPy.
  • Experience in deep learning frameworks (e.g., Tensorflow, PyTorch, Keras) and open-source NLP toolkits like NLTK or TextBlob
  • Experience with Elasticsearch
  • Strong background in natural language processing, statistical modelling, and/or machine learning
  • Experience working on a range of ML problems, particularly NLP, Industry or academic
  • 2+ years’ experience in development and delivery of real-world products or services, building and productionising innovative end-to-end Machine Learning systems
  • Ability to effectively communicate complex ideas to other members of the team.


  • Recommendation and Personalisation
  • Natural Language Processing and Query Understanding
  • Deep Learning
  • Text Understanding


  • You have the ability to quickly prototype ideas and solve complex problems by adopting creative approaches
  • You are a strong collaborator and communicator and you make the engineers around you grow and learn.
  • You love building robust and generalisable models
  • You take pride in the things you build
  • You can demonstrate a track record of trying and learning new things
  • You have a point of view but are low ego
  • You have excellent verbal and written communication and presentation skills

Summary of skills

  • CS fundamentals and programming
  • Probability and statistics
  • Data modelling and evaluation
  • Applying ML algorithms and libraries
  • Software engineering and system design


Job Features

Job CategoryInformation Technology

Apply Online

A valid email address is required.

Responsible: Alien Technology Transfer and its subsidiaries. Purpose: Managing your job application. Legitimation: Your consent expressed with the delivery of your candidacy. Recipients: No data will be transferred to third parties, except to Alien Technology Transfer group companies and for legal obligation. Rights: Access, rectify and delete data as well as other rights, as explained in the additional information. Additional information: You can consult the additional and detailed information on Data Protection by sending an email to or by reading our full Privacy Policy at