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  1. Machine Learning Scientist

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Inlecom Innovation

Machine Learning Scientist

Full Time

Associate

Inactive!
This job post is inactive. Applications will not be delivered

location_iconAthens, Athens, Greece

when_icon 2020-01-03

salary_icon -

info iconBasic Information

INLECOM (www.inlecom.eu) has a focal interest and expertise in research-driven innovation, with offices in Athens (GR), Brussels (BE) and London (UK).

ABOUT THE POSITION

INLECOM has an immediate opportunity for a Machine Learning Scientist located in our offices in Athens (GR). We are looking for a highly motivated and passionate innovator to join our R&D team, a multidisciplinary team of engineers, developers, scientists, project managers and innovation management experts. You will participate in the design, implementation and testing of advanced ML and knowledge discovery applications. A successful candidate will bring a mix of real-world experience, vision and the ability to execute on that vision.

job description iconResponsibilities
  • Researching and implementing appropriate ML algorithms and tools
  • Studying and transforming data science prototypes and designing ML systems
  • Developing ML applications according to requirements
  • Writing of research papers, technical deliverables and software documentation
  • Selecting appropriate datasets and data representation methods
  • Running ML tests and experiments
  • Performing statistical analysis and fine-tuning using test results
  • Training and retraining systems when necessary
  • Extending existing ML libraries and frameworks
  • Creating utilities to prepare and normalize data
  • Keeping abreast of developments in the field
  • Working with cross-discipline and remotely located project teams of EU-funded projects
job description iconBenefits

BENEFITS

  • Full-time position based in Athens, Kifissia with a very competitive salary (first year on a contract basis)
  • Working with international teams.
job requirements iconBasic Requirements

 

  • A degree in Computer Science, Mathematics or similar field; Master’s degree is a plus
  • 1+ year of professional experience with machine learning or 2+ years of research experience in ML/AI/NLP or similar domain
  • Familiarity with machine learning frameworks (like TensorFlow, Keras or PyTorch) and libraries (like scikit-learn or pandas)
  • Experience of data analysis – profiling, investigating, interpreting and documenting data structures
  • Experience with OpenCV
  • Deep knowledge of mathematics, probability, statistics and algorithms
  • Strong object-oriented coding skills and experience in designing software system(s)
  • In-depth programming skills in at least one of the following programming languages: Java, Python, C#, C++
  • Awareness of principles such as SOLID, YAGNI, and DRY
  • Ability to work independently and to take initiatives to ensure that the project objectives and deadlines are achieved
  • Excellent oral and written English
  • Outstanding analytical and problem-solving skills
  • Excellent communication skills and ability to work in a team
  • Onsite, full-time attendance and ability to travel in Europe
good to have iconGood to have

 

  • Proven experience as a Machine Learning Engineer or similar role
  • Experience in visualizing and manipulating big datasets
  • Ability to select hardware to run an ML model with the required latency
  • Experience of working with a range of Data & Analytics architectures: Data warehousing, NoSQL, container technology (Docker), distributed computing (Spark) etc.
  • Experience of cloud techniques and tools (S3, SQS, SNS, Lambda, Step Functions, Redshift, Postgres, Aurora, MySQL, EMR, HIVE, PIG, Spark, SOLR, Clickhouse)
  • Experience of building scalable high availability analytics solutions
  • Experience of building unit tests, integration tests, system tests and acceptance tests.
  • Experience in DevOps, using continuous integration and continuous development (e.g. Jenkins, Nexus, Git)
  • Familiar with data modelling techniques and hands-on data modelling experience
  • Experience of working in a research environment