ENGENHEIRO DE MACHINE LEARNING (HYBRID) 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: • What we are looking for / tasks associated with the position: We are seeking a highly motivated Machine Learning Engineer with expertise in designing and implementing scalable ML pipelines, infrastructure, and CI/CD workflows.
The ideal candidate will contribute to building robust data and ML systems, ensuring scalability, reproducibility, and operational excellence in analytics projects.
Key Responsibilities: 1.
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.
2.
Model Monitoring and Maintenance o Design schemes for monitoring model performance during inference phases, including data drift detection (online) and model drift analysis (offline).
3.
Feature Engineering and Analytics o Apply advanced feature engineering techniques and machine learning principles to extract insights and build effective models.
4.
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 Client's sector: Energy #00279456