Specialist Software Engineer - R&D AI/ML/GenAI- Enabled Applications
Portugal - ACC
Amgen
Amgen is committed to unlocking the potential of biology for patients suffering from serious illnesses by discovering, developing, manufacturing and delivering innovative human therapeutics.Career Category
Information SystemsJob Description
Join our team at AMGEN Capability Center Portugal, number 1 company in Best Workplaces - https://www.greatplacetowork.pt/ - ranking in Portugal (category 201-500 employees) by the Great Place to Work Institute. We have a growing team of 400 talented people and more than 38 different nationalities, diverse areas of expertise and professional experience that are shaping the future of healthcare. This is your chance to explore a world of opportunities in different areas such as Cybersecurity, Data & Analytics, Digital, Technology and Innovation, Finance, General & Admin, Human Resources, Regulatory Affairs and many more. Based in Lisbon's city center, our AMGEN office fosters innovation, excellence, and inspiration. Come thrive with us at AMGEN, supporting our mission To Serve Patients.
Specialist Software Engineer
LIVE
WHAT YOU WILL DO
The Software Engineer is responsible for designing, developing, and maintaining software applications and solutions that meet business needs and ensuring the availability and performance of critical systems and applications. This role involves working closely with product managers, designers, and other engineers to create high-quality, scalable software solutions and automating operations, monitoring system health, and responding to incidents to minimize downtime.
Roles & Responsibilities:
Take ownership of complex software projects from conception to deployment
Manage software delivery scope, risk, and timeline
Quickly translate concepts into working code by strong rapid prototyping skills
Provide technical guidance and mentorship to junior developers
Contribute to both front-end and back-end development using cloud technology
Develop innovative solution using generative AI technologies
Conduct code reviews to ensure code quality and adherence to best practices
Create and maintain documentation on software architecture, design, deployment, disaster recovery, and operations
Stay updated with the latest trends and advancements
Develop and execute unit tests, integration tests, and other testing strategies to ensure the quality of the software
Identify and resolve software bugs and performance issues
Work closely with cross-functional teams, including product management, design, and QA, to deliver high-quality software on time
Integrate systems and platforms to ensure seamless data flow and functionality
Collaborate with data scientists to develop, train, and evaluate machine learning models.
Build and maintain MLOps pipelines leveraging cloud platform, including data ingestion, feature engineering, model training, deployment, and monitoring.
Deploy machine learning models into production environments, ensuring that they are scalable and maintainable
Design and implement systems and processes to improve the reliability, scalability, and performance of applications
Automate routine operational tasks, such as deployments, monitoring, and incident response, to improve efficiency and reduce human error
Develop and maintain monitoring tools and dashboards to track system health, performance, and availability
WIN
WHAT WE EXPECT OF YOU
Basic Qualifications and Experience:
Master’s degree with 4 - 6 years of experience in Computer Science, IT or related field OR
Bachelor’s degree with 6 - 8 years of experience in Computer Science, IT or related field OR
Diploma with 10 - 12 years of experience in Computer Science, IT or related field
Must-Have Skills:
Solid foundation in modern software design and engineering practices, with a specific focus incorporating AI and ML into solutions, including low code, microservice, serverless cloud, and containerization platforms.
Strong experience on Agile software development teams.
Strong proficiency in machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch) and MLOps (e.g., MLflow, Kubeflow, Airflow.)
Hands on experience with Full Stack software development. Proficient in programming language Python (preferred), JavaScript, SQL/NoSQL.
Good-to-Have Skills:
Strong understanding of cloud platforms (e.g., AWS, GCP, Azure) 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
Soft Skills:
Excellent analytical and troubleshooting skills
Strong verbal and written communication skills
Ability to work effectively with global, virtual teams
High degree of initiative and self-motivation
Ability to manage multiple priorities successfully
Team-oriented, with a focus on achieving team goals
Strong presentation and public speaking skills
THRIVE
WHAT YOU CAN EXPECT OF US
Vast opportunities to learn, develop, and move up and across our global organization.
A diverse and inclusive community of belonging, where colleagues are empowered to bring ideas to the table, take risks, and act.
Generous Amgen Total Rewards Plan comprising healthcare, finance, wealth, and career benefits.
Flexible work arrangements.
APPLY NOW
Objects in your future are closer than they appear. Join us.
CAREERS.AMGEN.COM
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.
.* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Airflow Architecture AWS Azure Computer Science Docker Engineering Feature engineering Finance GCP Generative AI Grafana Hadoop JavaScript Kubeflow Kubernetes Machine Learning MLFlow ML models MLOps Model training NoSQL Pipelines Prototyping Python PyTorch R R&D Spark Splunk SQL TensorFlow Testing
Perks/benefits: Career development Flex hours Health care
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