Position Overview
Are you passionate about using machine learning to solve complex business problems? Do you thrive in a collaborative and innovative work environment?
As a Senior Machine Learning Engineer, you'll work in agile mode with FBS lean methodology to create data products for NPD (New Product Development). You'll be responsible for driving business outcomes and delivering value by designing, developing, and deploying large-scale machine learning systems. You'll collaborate closely with cross-functional teams including data scientists, software engineers, and product managers to understand business requirements and translate them into machine learning solutions. With your expertise in machine learning algorithms, data structures, and statistics, you'll develop and implement algorithms for data mining, feature selection, and predictive modeling. You'll also mentor junior machine learning engineers and data scientists to help them grow their skills and knowledge. This is a role for someone who is motivated to work in a fast-paced and dynamic environment, with opportunities for career growth and development, a competitive salary and benefits package, and the chance to make a real impact by driving business outcomes and delivering value.
About the Team
The Fort is Fortive's Center of Excellence for Software, Data, and Artificial Intelligence (AI). Our vision is to help Fortive's OpCos drive massive customer value through products and services that are informed by data and AI insights. We combine forces to deploy disruptive technologies and explore new ways of thinking and working. We get out of the office and into the field to observe first-hand what the OpCos and their customers most need to accelerate progress for the world. We observe, listen, prototype, experiment, analyze, learn, and iterate with passion and speed to fuel Fortive’s growth and build the future. We provide cutting-edge tools and utilities at scale that empower software engineers to effectively build, deploy, and manage machine-learning (ML) models and drive efficiency gains across the organization.
Responsibilities and Deliverables
· Design, develop, and deploy large-scale machine learning solutions that can handle huge volumes of data with high performance and accuracy which includes data exploration, data preparation, feature engineering, model selection, and hyperparameter tuning.
· Work closely with data scientists and software engineers to build scalable machine learning pipelines, data pre-processing pipelines, and feature engineering pipelines.
· Develop and implement algorithms for data mining, feature selection, and predictive modeling.
· Conduct experiments to evaluate the performance of different machine learning models and algorithms.
· Develop and maintain tools for monitoring and analyzing the performance of machine learning models in production.
· Gather business requirements and translate them into technical requirements for machine learning development life cycle.
· Leverage advanced ML techniques for drift identification and automate re-calibration process.
· Design and Development of CI, CD, CT Pipelines, deploy machine learning models into production environments - models prep for deployment, models test in the production environment.
· Supports life cycle management of deployed ML models (e.g., retraining, new releases, change management, monitoring and troubleshooting).
· Collaborate with product managers to understand business requirements and translate them into machine learning solutions.
· Mentor junior machine learning engineers and data scientists to help them grow their skills and knowledge.
Basic Qualifications:
· Bachelor's degree in Computer Science, Mathematics, or a related field.
· At least 3 years of experience in machine learning engineering, data engineering, or a related field.
· Solid knowledge of machine learning algorithms, data structures, and statistics.
· Experience in machine learning, deep learning, computer vision and reinforcement algorithms techniques.
· Experience in ML tools and frameworks such as TensorFlow, OpenCV, Dataiku, Python (including NumPy, SciPy, Pandas), JVM, and Linux.
· Experience in developing and deploying end-to-end machine learning solutions in production.
· Familiarity with industry tools and container technologies used to build scalable machine learning systems, such as AWS, SQL, Elasticsearch/Open Search, Kubernetes, Docker and/or Spark.
· Knowledge and experience with distributed machine learning and deploying models at scale in cloud environments such as Azure, AWS or GCP.
· Proficiency in one or more programming languages such as Python, Java, or C++.
· Experience with big data technologies such as Hadoop, Spark, or NoSQL databases.
· Strong communication skills and the ability to work effectively in a team environment.
· Experience with delivering applied machine learning products, including taking a product through design, implementation, and to production.
Other Qualifications:
· Master’s degree or higher in Computer Science, Mathematics, or a related field.
· Strong experience in machine learning engineering, data engineering, or a related field.
· Strong project management and organizational skills.
· Strong experience in Data Science, Machine Learning data preparation and engineering is a great asset.
· Advanced understanding of a variety of modeling techniques including classical and deep learning
· Ability to teach, mentor and lead through influence.
· Resilience to obstacles, and ability to solve problems independently.
Fortive Corporation Overview
Fortive’s essential technology makes the world stronger, safer, and smarter. We accelerate transformation across a broad range of applications including environmental, health and safety compliance, industrial condition monitoring, next-generation product design, and healthcare safety solutions.
We are a global industrial technology innovator with a startup spirit. Our forward-looking companies lead the way in software-powered workflow solutions, data-driven intelligence, AI-powered automation, and other disruptive technologies. We’re a force for progress, working alongside our customers and partners to solve challenges on a global scale, from workplace safety in the most demanding conditions to groundbreaking sustainability solutions.
We are a diverse team 18,000 strong, united by a dynamic, inclusive culture and energized by limitless learning and growth. We use the proven Fortive Business System (FBS) to accelerate our positive impact.
At Fortive, we believe in you. We believe in your potential—your ability to learn, grow, and make a difference.
At Fortive, we believe in us. We believe in the power of people working together to solve problems no one could solve alone.
At Fortive, we believe in growth. We’re honest about what’s working and what isn’t, and we never stop improving and innovating.
Fortive: For you, for us, for growth.
Ready to move your career forward? Find out more at careers.fortive.com.
Fortive is headquartered in Everett, Washington, and employs more than 17,000 research and development, manufacturing, sales, distribution, service, and administrative employees in more than 40 countries worldwide. Our team grows by tackling challenges that accelerate progress and further their careers. With a culture rooted in continuous improvement, the core of our company's operating model is the Fortive Business System. For more information, please visit:www.fortive.com.
About Fortive:
Fortive is a diversified industrial growth company comprised of global businesses that are recognized leaders in attractive markets. With more than $5 billion in annual revenues, Fortive's well-known brands hold leading positions in field instrumentation, transportation, sensing, product realization, automation, health, and franchise distribution.
"The company in which you have expressed employment interest is a subsidiary or affiliate of Fortive Corporation. The subsidiary or affiliate is referred to as a Fortive Company. Fortive Corporation and all Fortive Companies are equal opportunity employers that evaluate qualified applicants without regard to race, color, national origin, religion, ancestry, sex (including pregnancy, childbirth and related medical conditions), age, marital status, disability, veteran status, citizenship status, sexual orientation, gender identity or expression, and other characteristics protected by law. The "EEO is the Law" poster is available at: http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf. Individuals who need a reasonable accommodation because of a disability for any part of the employment process should call 1-866-272-5573 or e-mail applyassistance@fortive.com to request accommodation."