Associate Machine Learning Engineer Lisboa

Associate Machine Learning Engineer
Lisboa
Lisboa, Lisboa, Portugal

Let’s do this. Let’s change the world. In this vital role you will:* Collaborate with data scientists to develop, train, and evaluate machine learning models. * Build and maintain MLOps pipelines, including data ingestion, feature engineering, model training, deployment, and monitoring. * Leverage cloud platforms (AWS, Databricks) for ML model development, training, and deployment. * Develop solutions using Dev
Sec
Ops framework that are secure, scalable, reliable, and aligned with enterprise architecture standards. * Evaluate model performance using appropriate metrics and optimize models for accuracy and efficiency* Develop and execute unit tests, integration tests, and other testing strategies to ensure the quality of the software* Create and maintain documentation on software architecture, design, deployment, disaster recovery, and operations* Identify and resolve technical challenges effectively* Provide ongoing support and maintenance for applications, ensuring that they operate smoothly and efficiently* Analyze customer feedback and support data to identify pain points and opportunities for improvement* Evaluate and recommend technologies and tools that best fit the solution requirements
We are all different, yet we all use our unique contributions to serve patients. The tech professional we seek is a creative
- solver and a team player with these qualifications:* Strong foundations in machine learning algorithms and techniques* Experience in MLOps practices and tools (e. g. , MLflow, Kubeflow, Airflow); Experience in model monitoring, including model observability and explainability* Proficiency in Python (or R) and relevant ML libraries (e. g. , Tensor
Flow, Py
Torch, Scikit-learn)* Experience with big data technologies (e. g. , Spark, Hadoop), and performance tuning in query and data processing* Good understanding of cloud platforms (e. g. , AWS, Databricks) and containerization technologies (e. g. , Docker, Kubernetes)* Experience with monitoring and logging tools (e. g. , Prometheus, Grafana, Splunk)* Experience with data processing tools like Hadoop, Spark, or similar* Knowledge of Gen
AI tooling: vector databases, RAG pipelines,
- engineering DSLs and agent frameworks (e. g. , Lang
Chain, Semantic Kernel). * Ability to analyze client requirements and translate them into solutions* Excellent
- thinking and
- solving skills* Strong communication and collaboration skills* Demonstrated awareness of how to function in a team setting* Demonstrated awareness of presentation skills**AMGEN****Total Rewards Plan** – Comprehensive benefits in healthcare, finance, and
- being.

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