137 applicants
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Johnson & Johnson · 1 week ago
Machine Learning Engineer
Titusville, NJ
Full-time
Onsite
Senior Level
$104K/yr - $145K/yr
5+ years exp
Wonder how qualified you are to the job?
Health CareMedical Device
Insider Connection @Johnson & Johnson
Responsibilities
Play a key role in the AI-enabled transformation of Commercial engagement through personal and non-personal channels, and other high visibility projects that drive impact for patients and for J&J Innovative Medicine.
Shaping and developing new AI, ML, and other Data Science initiatives across JJIM Commercial NA.
Partner with senior leaders and peers across technology and business functions to shape new AI and ML solutions and operations.
Serve as domain expert in implementing solid software development lifecycles for data science products.
Create end-to-end AI/ML pipelines that integrate seamlessly into products through the product lifecycle – starting from proof-of-concept (POC) phase, moving into production, scaling, ongoing enhancements, and maintenance (ML Operations)
Lead technical projects, taking end-to-end responsibility of ML solutions.
Coordinate technical seminars, training sessions, and workshops focused on AI/ML to enhance the skills of data scientists, data engineers, and other technology professionals across the organization.
Qualification
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Required
Ph.D. in a quantitative discipline such as software engineering, computer science, statistics, biostatistics, or supply chain. Or an equivalent educational background of M.S. with 3+ years or B.S. with 5+ years of experience of building AI/ML solutions.
Experience in building end-to-end data products, taking products from POC stage through the full product life cycle including operationalization and scaling.
Proficiency in one or more programming languages such as Python or R along with associated machine learning packages such as TensorFlow, PyTorch, and Keras.
Experience in setting up, configuring, and managing CI/CD pipelines to ensure smooth and efficient software development workflows. Specifically working with frameworks such as Docker, Kubernetes, Helm, Jenkins, and Gitlab.
Experience working in multiple software development frameworks such as Agile.
Strong expertise in building and deploying machine learning models such as generalized linear regression, logistic regression, XGBoost, random forest, neural networks, NLP, GenAI or large language model (LLM).
Proven experience shaping AI and ML solutions in close partnership with business stakeholders based on business needs.
Preferred
Proven success in applying Data Science and ML Engineering methods to solve Commercial problems in the Pharma Industry.
Experience working in a fast-paced environment with competing priorities, multiple stakeholders, matrixed teams, and evolving needs.
Experience working in cross-functional teams to deliver outstanding results.
Company
Johnson & Johnson
Johnson & Johnson develops medical devices, pharmaceuticals, and consumer packaged goods.
10,001+ employees
H1B Sponsorship
Johnson & Johnson has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Trends of Total Sponsorships
2023 (43)
2022 (55)
2021 (40)
2020 (30)
Funding
Current Stage
Public CompanyTotal Funding
unknown1978-01-13IPO· nyse:JNJ
Leadership Team
Alex Gorsky
Chairman & CEO
Dominic J. Caruso
Vice President, Finance and Chief Financial Officer
Recent News
Startupticker-Ch
2024-05-29
2024-05-26
bloomberglaw.com
2024-05-24
Company data provided by crunchbase
