Machine Learning Engineer Bucharest

Machine Learning Engineer
Bucureşti
Bucharest, Bucharest, Romania

Since 1998, we've been active in the Human Resources consulting market, providing regional coverage across four key areas of expertise: recruitment and selection, personnel leasing, assessment centers and consultancy. As leaders in Transylvania, we've expanded our reach to embrace a culture of continuous improvement, thereby strengthening our position in the Romanian and also regional market. This commitment underscores our dedication to evolve alongside the dynamic needs of our clients and the
- changing landscape of the business environment.

Our success stems from the professionalism of our services, the multidisciplinary expertise of our consulting team and our ongoing collaboration with those who rely on our consultancy services.

Building
- term partnerships with clients across diverse industries such as IT&C, automotive, outsourcing, pharma, banking, FMCG and more, is our primary objective.

Our commitment to client orientation, teamwork, flexibility, excellence, dedication and responsibility reflects our aim to bring added value to our services.

The ML Engineer role encompasses designing, building, and maintaining machine learning systems, developing, training, and deploying machine learning models, and automating model deployment and management. As part of a larger team, develops and integrates ML analytical components in business solutions and analytical models.

Skill requirements

Must Have:

• Relevant work experience in ML projects

• Relevant work experience in technologies and frameworks used in ML, examples are Apache Airflow, sklearn, MLFlow, Tensor
  Flow

• Knowledge of MLOps architecture and practices

• Knowledge of data manipulation and transformation, e. g. SQL

• Experience working in cloud environment, data cloud platforms (e. g. GCP)

• Programming in Python

• Familiar with software engineering practices like versioning, testing, documentation, code review

• Deployment and provisioning automation tools e. g. Docker, Kubernetes, Openshift, CI/CD

Nice to Have: 

• Experience with distributed systems and clusters for both batch as well as streaming data (S3/Spark/Kafka/Flink) 

• Experience with monitoring and observability (ELK stack)

• Affinity with Advanced Analytics, Data Science, NLP

• Hands-on experience building complex data pipelines e. g. ETL 

• System design and architecture 

• Programming in a statically typed language, e. g. Scala, Java 

• Good understanding of databases including RDBMS,
  - SQL and
  - series databases

• Experience with working in an agile/scrum way 

• Being a committer to Open Source projects is a strong plus