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Portuguese Consultancy hires for hybrid work in Lisbon / Portugal
FLUENT ENGLISH (C1)
Only resumes will be accepted from those who already live in Portugal
Please send only CV's in English
Please don't forget to include in your resume all skills and experience that meet the requirements of the opportunity, as this significantly increases your success rate
Description
Key Responsibilities
#00279456
FLUENT ENGLISH (C1)
Only resumes will be accepted from those who already live in Portugal
Please send only CV's in English
Please don't forget to include in your resume all skills and experience that meet the requirements of the opportunity, as this significantly increases your success rate
Description
- What we are looking for / tasks associated with the position:
Key Responsibilities
- Pipeline Design and Implementation o Design and implement training pipelines for machine learning models, including environment configuration, data profiling, and distribution maintenance. o Develop inference pipelines for batch and online predictions. o Establish robust CI/CD pipelines for analytics workflows leveraging MLOps practices.
- Model Monitoring and Maintenance o Design schemes for monitoring model performance during inference phases, including data drift detection (online) and model drift analysis (offline).
- Feature Engineering and Analytics o Apply advanced feature engineering techniques and machine learning principles to extract insights and build effective models.
- Collaboration and Documentation o Work collaboratively with global teams to ensure effective delivery of ML systems. o Document all processes, including environment configurations, access rules for datasets, and model monitoring schemes, to ensure traceability and reproducibility.
- Must have:
- Degree in Software Engineering or Computer Engineering or similar
- Good written and verbal communication skills
- Ability to work in a collaborative environment and with global teams
- Ability for critical analysis and focused on problem solving
- Commitment to quality of deliveries
- Knowledge of languages (written and oral): English
- Technical knowledge of SQL, Python or Scala and related Machine learning packages
- Technical knowledge of Spark in Python or Scala, namely RDD and Dataset APIs
- Knowledge in designing training and model calibration flows (ML pipelines) including package environments, infrastructure, data profiling during training and verifying the maintenance of your distribution (profile checking)
- General knowledge of the principles of infrastructure elasticity, reproducibility and traceability in ML pipelines, rules for accessing datasets in these ML pipelines, monitoring of Inference pipelines
- Knowledge in designing inference flows, namely batch inference and online inference
- Knowledge in designing CI/CD pipelines for Analytics with MLOps
- Knowledge in designing model monitoring schemes during the inference phase, namely data drift (online) and model drift (offline)
- General knowledge of Feature Engineering and Machine learning techniques
- Nice to have:
- Knowledge of the Energy & Utilities market and GDPR
- Knowledge of Agile methodology, JIRA and Confluence tools
- Knowledge of languages (written and oral): Portuguese, Spanish
- Top Skills:
- Proficiency in SQL
- Proficiency in Python
- Proficiency in Scala
- Proficiency in Apache Spark
- Expertise in ML Pipelines, MLOps practices and monitoring techniques
- Strong knowledge of feature engineering, data profiling, and pipeline reproducibility
- Understanding of elastic infrastructure for scalable machine learning applications
- Strong analytical skills for designing robust and scalable ML workflows
- Years of Experience: up to 5 years of experience in the role for the service to be contracted
- Type of project: Development
- Hybrid Position
#00279456
Key Skills
Ranked by relevance
machine learning
python
scala
cicd
spark
mlops
sql
confluence
apache
jira
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- Posted
- Dec 27, 2024
- Type
- Other
- Level
- Not Applicable
- Location
- Lisbon
- Company
- iTRecruiter
Industries
Human Resources
Categories
Other
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3 roles aligned with this opportunity
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2026-04-11
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Desenvolvedor Full Stack II - Franquias Melissa
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