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Full-time
bachelor degree, postgraduate degree
Posted 2d ago
~40 hrs/week
Responsibilities
Design and develop scalable data pipelines and ingestion solutions to support generative AI and manufacturing applications. Collaborate with cross-functional teams to implement metadata-driven architectures and ensure data governance across hybrid cloud environments.
Requirements
Requires a Doctorate or Master's degree with 6-8 years of experience, or a Bachelor's degree with 8-10 years of experience in Computer Science or a related field. Candidates must have hands-on expertise in Databricks, PySpark, AWS, and Agile methodologies.
Full job description
Career Category
Engineering
Job Description
Sr Machine Learning Engineer
ABOUT AMGEN
Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, making people’s lives easier, fuller, and longer. We discover, develop, manufacture, and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting edge of innovation, using technology and human genetic data to push beyond what’s known today.
ABOUT THE ROLE
Role Description:
Let’s do this. Let’s change the world. We are looking for a highly motivated expert Data Engineer to design and developscalable, secure, and reliable data pipelines and ingestion solutions that power knowledge layers and assistant experiencesviagenerative AI solutions for our Manufacturing Applications Product Team. The ideal candidate will be responsible for designing, developing, and optimizing data pipelines, data integration frameworks, and metadata-driven architectures that enable seamless data access and analytics for Manufacturing and Operations use cases. This role requires deep expertise in big data processing, distributed computing, data modeling,LLMs, vector stores,productized assistant workflows. and governance frameworks to support self-service analytics, AI-driven insights, and enterprise-wide data management.
Roles & Responsibilities
Design, develop, and maintain complex ETL/ELT data pipelines in Databricks using PySpark, Scala, and SQL to process large-scale datasets.
Champion ML/LLM feature engineering including data ingestion, embeddings/vector DBs, RAG/LLM serving, latency optimization,and knowledge graph/metadata.
Build highly efficient data pipelines to migrate and deploy complex data across systems, with an understanding of biotech/pharma/manufacturing or related domains.
Design and implement solutions to enable secure access, logging, privacy controls.unified data access, governance, and interoperability across hybrid cloud environments.
Ingest and transform structured and unstructured data from databases (PostgreSQL, MySQL, SQL Server, MongoDB, etc.), APIs, logs, event streams, images, PDFs, and third-party platforms.
Ensure data integrity, accuracy, and consistency through rigorous quality checks and monitoring.
Innovate, explore, and implement new tools and technologies to enhance efficient data processing.
Proactively identify and implement opportunities to automate tasks and develop reusable frameworks.
Work in an Agile and Scaled Agile (SAFe) environment, collaborating with cross-functional teams, product owners, and Scrum Masters to deliver incremental value.
Use JIRA, Confluence, and Agile DevOps tools to manage sprints, backlogs, and user stories.
Support continuous improvement, test automation, and DevOps practices in the data engineering lifecycle.
Collaborate and communicate effectively with product teams and cross-functional teams to understand business requirements and translate them into technical solutions.
Must-Have Skills
Hands-on experience in data engineering technologies such as Databricks, PySpark, SparkSQL, Apache Spark, AWS, Python, SQL, and Scaled Agile methodologies.
Proficiency in workflow orchestration and performance tuning on big data processing.
Strong understanding of AWS services.
Ability to quickly learn, adapt, and apply new technologies.
Strong problem-solving and analytical skills.
Excellent communication and teamwork skills.
Experience with Scaled Agile Framework (SAFe), Agile delivery practices, and DevOps practices.
Experience with streaming technologies such as Apache Kafka, Debezium, or similar platforms for real-time data processing and integration.
Good-to-Have Skills
Experience with AI assisted code development using tools like GitHub Copilot, Cursor, Claude Code.
Collaboration with ML engineers, prompt engineers, Product Managers and Owners.
Data engineering experience in biotechnology or pharma industry.
Experience in writing APIs to make data available to consumers.
Experience with SQL/NoSQL databases, vector databases for large language models.
Experience with data modeling and performance tuning for both OLAP and OLTP databases.
Experience with software engineering best practices, including version control (Git, Subversion, etc.), CI/CD (Jenkins, Maven, etc.), automated unit testing, and DevOps.
Experience with manufacturing related data sources like SCADA, Data Historian is a plus
Education and Professional Certifications
Doctorate Degree OR
Master’s degree with 6-8 years of experience in Computer Science, IT or related field OR
Bachelor’s degree with 8-10 years of experience in Computer Science, IT or related field
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.
Ability to learn quickly, be organized, and detail-oriented.
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Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We helped establish the biotechnology industry, and we remain on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. Our investment in research and development has yielded a robust pipeline that builds on our existing portfolio of medicines to treat cancer, heart disease, osteoporosis, inflammatory diseases and rare diseases.
Amgen is one of 30 companies comprising the Dow Jones Industrial Average®, and part of the Nasdaq-100 Index®. In 2024, Amgen was named one of the “World’s Most Innovative Companies” by Fast Company and one of “America’s Best Large Employers” by Forbes.
For more information, visit Amgen.com and follow us on X, LinkedIn, Instagram, TikTok, YouTube and Threads.
🔗 Community Guidelines: https://wwwext.amgen.com/community-guidelines
🔗Global Privacy Statement Directory: www.amgen.com/dp
Special Advisory: Please be cautious of scam recruitment offers claiming to be from Amgen. Such scams may come from various sources, including fake websites and/or unsolicited emails and seek to obtain personal data or payment from victims by offering jobs that do not exist. Please be advised that Amgen would never ask for payment to progress a job application. When in doubt, please check to see if the position in question is posted on this website before applying. Additionally, please report any suspicious recruiting activity to https://complaint.ic3.gov/ and thank you for your assistance.
Offices: One Amgen Center Drive, Thousand Oaks, CA 91320, US · 1120 Veterans Blvd, South San Francisco, CA 94080, US · 34 Commerce Way, Woburn, MA 01801, US · Avenida Calle 100 7-81, Bogota, Bogota, D.C. 110221, CO · Minervum 7061, Breda, North Brabant 4817 ZK, NL
BiologicsHuman therapeuticsand Development of novel productsHuman ResourcesHealth DiagnosticsHealth CareProfessional ServicesBiotechnologyManufacturingPharmaceutical
Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We helped establish the biotechnology industry, and we remain on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. Our investment in research and development has yielded a robust pipeline that builds on our existing portfolio of medicines to treat cancer, heart disease, osteoporosis, inflammatory diseases and rare diseases.
Amgen is one of 30 companies comprising the Dow Jones Industrial Average®, and part of the Nasdaq-100 Index®. In 2024, Amgen was named one of the “World’s Most Innovative Companies” by Fast Company and one of “America’s Best Large Employers” by Forbes.
For more information, visit Amgen.com and follow us on X, LinkedIn, Instagram, TikTok, YouTube and Threads.
🔗 Community Guidelines: https://wwwext.amgen.com/community-guidelines
🔗Global Privacy Statement Directory: www.amgen.com/dp
Special Advisory: Please be cautious of scam recruitment offers claiming to be from Amgen. Such scams may come from various sources, including fake websites and/or unsolicited emails and seek to obtain personal data or payment from victims by offering jobs that do not exist. Please be advised that Amgen would never ask for payment to progress a job application. When in doubt, please check to see if the position in question is posted on this website before applying. Additionally, please report any suspicious recruiting activity to https://complaint.ic3.gov/ and thank you for your assistance.
Offices: One Amgen Center Drive, Thousand Oaks, CA 91320, US · 1120 Veterans Blvd, South San Francisco, CA 94080, US · 34 Commerce Way, Woburn, MA 01801, US · Avenida Calle 100 7-81, Bogota, Bogota, D.C. 110221, CO · Minervum 7061, Breda, North Brabant 4817 ZK, NL
BiologicsHuman therapeuticsand Development of novel productsHuman ResourcesHealth DiagnosticsHealth CareProfessional ServicesBiotechnologyManufacturingPharmaceutical