Associate Machine Learning Engineer

Lisbon - Portugal

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

Career Category

Information Systems

Job Description

Join our team at AMGEN Capability Center Portugal the #1 company in Best Workplaces (201500 employees category) in Portugal in 2024 by the Great Place to Work Institute. With over 500 talented individuals from more than 40 nationalities our Lisbon center thrives at the intersection of innovation excellence and inspiration. This is your opportunity to explore the future of healthcare through technology and digital innovation supporting our mission To Serve Patients.

ASSOCIATE MACHINE LEARNING ENGINEER

At AMGEN Technology isnt just a support functionits a catalyst for discovery transformation and real-world impact. Here your ideas fuel innovation that improves and saves lives of patients in dire need of our medicines. Are you ready to do meaningful work that matters

LIVE

WHAT YOU WILL DO

The Associate Machine Learning Engineer position offers a unique opportunity to join a fun innovative engineering team within the AI & Data Science (AI&D) organization. Youll work on next-generation capabilities and services in Applied AI & Automation using innovative COTS products open-source software frameworks tools and cloud computing services. The role also emphasizes demonstrating these capabilities to support critical business operations and initiatives in ensuring quality compliance and performance across Amgens Applied AI & Automation Footprint.

The role is responsible for building and scaling our AI and machines learning solutions from development to production. Your expertise in MLOps will be essential in creating efficient and reliable ML pipelines. The role represents working in the solution engineering and DevOps teams to lead the transition from Intelligent automation to Agentic Process Automation and ensures that strategy and implementation remain connected throughout the value stream. The ideal candidate has experience in building AI & ML solutions has excellent communication skills and an understanding of Agile methodologies.

Lets do this. Lets change the 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 DevSecOps 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

WIN

WHAT WE EXPECT OF YOU

We are all different yet we all use our unique contributions to serve patients. The tech professional we seek is a creative problem-solver and a team player with these qualifications:

Must-Have Skills:

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. TensorFlow PyTorch Scikit-learn)
Experience with big data technologies (e.g. Spark Hadoop) and performance tuning in query and data processing

Good-to-Have Skills:

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 GenAI tooling: vector databases RAG pipelines prompt-engineering DSLs and agent frameworks (e.g. LangChain Semantic Kernel).
Ability to analyze client requirements and translate them into solutions

Soft Skills:

Excellent critical-thinking and problem-solving skills
Strong communication and collaboration skills
Demonstrated awareness of how to function in a team setting
Demonstrated awareness of presentation skills

THRIVE

WHAT YOU CAN EXPECT OF US

As we work to develop treatments that take care of others we also care deeply for our teammates well-being and growth.

Work That Matters Build tech that accelerates scientific breakthroughs and helps patients worldwide.
Modern Tech Stack Cloud-first automation-focused AI-powered.
Global Scale Agile Mindset Collaborate across continents while working in nimble high-impact teams.
Continuous Learning Access to certifications trainings mentorship and career mobility.
AMGEN Total Rewards Plan Comprehensive benefits in healthcare finance and well-being.
Flexibility Hybrid work model with time split between our Lisbon office and remote work.

Objects in your future are closer than they us.

EQUAL OPPORTUNITY STATEMENT

AMGEN is an Equal Opportunity employer and will consider you without regard to your race color religion sex sexual orientation gender identity national origin protected veteran status or disability status.

We will ensure that individuals with disabilities are provided a reasonable accommodation to participate in the job application or interview process to perform crucial job functions and to receive other benefits and privileges of employment. Please contact us to request an accommodation.

Required Experience:

Career CategoryInformation SystemsJob DescriptionJoin our team at AMGEN Capability Center Portugal the #1 company in Best Workplaces (201500 employees category) in Portugal in 2024 by the Great Place to Work Institute. With over 500 talented individuals from more than 40 nationalities our Lisbon cen...