Specialist Software Engineer - R&D AI/ML/GenAI- Enabled Applications
Specialist Software Engineer - R&D AI/ML/GenAI- Enabled Applications
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Job Description
Career Category
Information SystemsJob Description
Join our team at AMGEN Capability Center Portugal number 1 company in Best Workplaces - - 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 Lisbons 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:
Masters degree with 4 - 6 years of experience in Computer Science IT or related field OR
Bachelors 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.
Objects in your future are closer than they appear. Join 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:
Unclear Seniority
Employment Type
Full-Time
