Senior Machine Learning Engineer – MLOps, TensorFlow
HumanIT Digital Consulting
full-time
Posted on:
Location Type: Remote
Location: Portugal
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Job Level
About the role
- Develop and maintain large-scale distributed machine learning systems using frameworks like TensorFlow, PyTorch, and Scikit-Learn
- Build predictive models including churn prediction, user journey analysis, and sales forecasting using behavioral data
- Work with supervised and unsupervised learning, survival analysis, time series modeling, and statistical forecasting techniques
- Collaborate with business units to understand their ML needs
- Optimize feature extraction, transformation, and selection while managing Feature Stores for reusability across ML pipelines
- Strong focus on MLOps practices including model training, versioning, monitoring, and deployment using CI/CD pipelines, Docker, Kubernetes, Airflow, SageMaker, and MLflow
- Ensure scalability, reliability, cost efficiency, and ease of use of the machine learning platform while maintaining model observability and connecting outcomes to product and strategic goals
Requirements
- 5+ years Machine Learning Engineering experience building production ML systems
- Strong experience with supervised and unsupervised learning, survival analysis, time series modeling, and statistical forecasting
- Skilled in building models such as churn prediction, user journey analysis, and sales forecasting using behavioral data
- Expert with TensorFlow, PyTorch, or Scikit-Learn for model development
- Experienced in model training, versioning, deployment, and monitoring in production
- Solid background in CI/CD pipelines, Docker, Kubernetes, Apache Airflow, AWS SageMaker, MLflow, and model observability tools
- Experience with feature stores and optimizing feature extraction, transformation, and selection
- Ability to develop large-scale distributed ML systems that are scalable, performant, and reliable
- Ability to connect model outcomes to product goals and strategic business objectives
- Experience working with business units and cross-functional teams to deploy and integrate ML models
- Fluent English (mandatory)
Benefits
- Health insurance
- Professional development
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningsupervised learningunsupervised learningsurvival analysistime series modelingstatistical forecastingpredictive modelingfeature extractionfeature transformationfeature selection
Soft Skills
collaborationcommunicationcross-functional teamworkproblem-solvingstrategic thinking