Machine Learning Engineer

LOCATION: GDAŃSK, KATOWICE, ŁÓDŹ, PIŁA, POZNAŃ, REMOTE, WROCŁAW

Machine Learning Engineer

Hi there!

We are the biggest European Python Powerhouse with over 16 years of experience, 5 offices in Poland and deep commitment to Agile principles. Join a group of 400+ professionals dedicated to helping customers build outstanding products.

Are you the NEXT one?

SALARY

Regular:up to 16 800 zł + VAT

Senior:up to 25 200 zł + VAT

What do we need from you?

 

Must have:

• Willingness to work on predictive models as well as implementing advanced data processing systems
• Strong theoretical fundamentals of machine learning – deep understanding and commercial experience in areas like deep learning (CNN, RNN, LSTM, GAN, Transformer, Autoencoder), transfer learning, classification, regression, clustering, ensemble (boosting, bagging, stacking), reinforcement learning
• Experience in designing and implementing solutions using NLP methods like word embeddings & bag of words (GloVe, ELMo, BERT, RoBERTa, Word2Vec, TF-IDF), named-entity recognition, text summarization, topic modeling, tagging the parts of speech, chatbots
• Experience in using modern machine learning tech stack including Jupyter Notebook, Keras/Tensorflow/PyTorch, scikit-learn, pandas, numpy, Google AI Platform, AWS Sagemaker
• Experience in day-to-day work with designing scalable, distributed, and reliable data processing solutions including data pipelines, advanced ETL processes, data warehouse, data lake, data scraping
• Practical experience of using various databases such as MySQL, PostgreSQL, RDS, Redshift, BigQuery, DynamoDB, MongoDB, CouchDB, Neo4j, Hbase, Cassandra
• Experience of using at least one of the messaging systems like Kafka, SQS, Cloud Pub/Sub, RabbitMQ, ActiveMQ, Celery, Redis
• Good experience with at least one Cloud Provider such as Amazon Web Services, Google Cloud Platform, Microsoft Azure
• Practical experience in processes automation with CI/CD and docker
• Demonstrated use of best practices
• Understanding of the threading limitations of Python, and multi-process architecture
• Experience in Python 3.x
• Experience in using code versioning tools, such as Git
• Good communication skills in English (minimum B2)
• Team spirit!

 

Nice to have:

• Understanding and commercial experience in designing data warehousing schemas and data lakes
• Practical experience in work with real-time processing systems using Apache Flink, Apache Storm, Kinesis, Dataflow
• Experience in work with distributed systems including Hadoop, Pig, Spark, Dask
• Experience with at least one Python web framework such as Django, Pyramid or Flask
• Strong unit test and debugging skills

 

The monthly salary is calculated assuming 168 hours worked within a month. The salary may change depending on the number of working days within a given month

 

Benefits

• Conferences, books, online or offline courses
• Work-life balance
• Monthly party budget
• Reimbursed private medical care (Medicover) and Multisport
• Bring your own device option
• Internal referral program
• Relocation package
• Leader’s support
• Workation
• Technology focus
• Growth review
• Events