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Junior Data Engineer (Machine Learning)

Impact Tech LTD is looking to recruit a Junior Data Engineer (Machine Learning) who will work within its in-house Artificial Intelligence Team to undertake this challenging role and push the limits of Artificial Intelligence through innovative products and solutions that solve business problems in real life.

Key responsibilities

Key responsibilities

  • Develop and maintain production grade ML infrastructure: speech recognition and text analysis

  • Build data pipelines for data scientists

  • Develop and maintain internal tools for data scientists (data processing, metrics, external systems integrations)

  • Collaborate with Data Scientists and DevOps team

  • Contribute to all AI products including systems architecture

  • Participate in code review and team meetings

What we offer

What we offer

  • Challenging and engaging tasks

  • Professional growth opportunities

  • Flexible work and leave schedules

  • A competitive salary with an incentive program that rewards and recognizes outstanding performance

  • An open and collaborative working environment

  • Team bonding events

  • Internal hackathons and technical seminars

Where robots become individuals. We are hiring.

Robot
Requirements

Requirements

  • BSc/MSc in computer science, applied mathematics or relevant working experience

  • Good understanding of classical algorithms and data structures

  • Good knowledge of any programming language: Python, Golang, C/C++ (other languages are welcome, but we have python and C/C++ stack)

  • Relational and NoSQL/NewSQL databases basics (PostgreSQL/MySQL, MongoDB, Redis)

  • Problem solving skills, creative thinking and collaborative spirit

Desirable

Desirable

If you know more then 2 lines from this list, you are very good for this position (even if it’s a personal project on GitHub)

  • Experience with flask, SQLAlchemy and RESTful services in production

  • Any experience with data pipelines: Apache Kafka, Apache Airflow , Apache Spark

  • Any experience with machine learning projects (Sklearn, TensorFlow, Keras, Kaldi, PpenSec2Sec)

  • Advanced knowledge in databases: real-time analytics, distributed storage/sharding

  • Any experience with Ellasticsearch

To apply, please upload your CV.
All applications will be treated in the strictest confidence