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Machine Learning Engineer

Remote: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

Relevant work experience in ML projects, Experience with ML technologies (e.g. TensorFlow), Understanding of MLOps architecture, Proficiency in data manipulation (e.g. SQL), Programming skills in Python and cloud environments.

Key responsabilities:

  • Design, build, and maintain ML systems
  • Develop, train, and deploy ML models
  • Automate model deployment and management
  • Integrate ML components in business solutions
  • Work collaboratively as part of a team
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Sales Consulting
51 - 200 Employees
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Job description

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, TensorFlow
  • 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, non-SQL and time-series databases
  • Experience with working in an agile/scrum way 
  • Being a committer to Open Source projects is a strong plus 

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

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