Data/ML Ops Engineer

Bulgaria, Egypt

Data/ML Ops Engineer Data/ML Ops Engineer

General description

Musala Soft is a leading software services company with a strong track record of success in building innovative enterprise software solutions for multinational organizations around the globe.

We are 600+ professionals from 10+ different nations developing solutions from a variety of geographical locations. The team works with a wide range of technologies in fields like Cloud, IoT, Big Data, AI and ML.

In its 21-year history the company has worked on 1000+ projects for 200+ clients from different industries  – ICT, Telecom, Finance, Automotive and Public sector. The average duration of the uninterrupted business engagement with the top 10 clients in our current portfolio is 9+ years.


  • At least 5 years of experience
  • Proficient with Python
  • Experience with SQL and NoSQL databases (for sourcing data)
  • Experience with Docker and container orchestration frameworks like Kubernetes (for running data pipelines in them via KubeFlow or a similar tool)
  • Experience in developing end-to-end (Data/Dev/ML)Ops pipelines via streaming technologies (such as Kafka, Spark, or Flink) and cloud-native tools (such as Apache Airflow, Luigi or Oozie)
  • Some experience with public Cloud providers (especially AWS)
  • Knowledge in ML – terminology and AI lifecycle (for communication with Data Scientists)
  • Good command of English language (written and spoken)


  • Design and implement scalable, easy to maintain and, monitored solutions for content analytics
  • Support Data Scientists with building, documenting and testing ML pipelines
  • Setup and develop frameworks for content analytics via NLP and Machine Learning
  • Gain deep understanding of the underlying data and data flows
  • Promote good coding and engineering practices 
  • Contribute to company-wide processes, frameworks and guidelines

What we offer

  • Attractive compensation package – competitive salary, additional health insurance, “big family” bonus, psychological counseling, vacation plan including additional “loyalty” days off, shopping discounts program and a company sponsored mobile plan, Refer a friend program
  • Rich opportunities for career development – different career paths – vertical and horizontal, plus an individual career development plan, regular performance feedback and assessment, open communication and knowledge-sharing culture, numerous educational events, technical and soft skills trainings, access to e-learning platforms like Coursera, Pluralsight and Udemy
  • Comfortable work environment – office space following the latest agile trends with a cozy and creative atmosphere, comfortable desks & chairs, flexible working hours and work from home policy, team events, regular company and family celebrations, fresh fruit, snacks and beverages at the office