Lead the deployment, monitoring, and maintenance of machine learning models in cloud environments, while overseeing a small team and performing advanced data analysis.
- 10+ years of experience in deploying, monitoring and maintaining machine learning models in cloud environments
- 3-5 years of experience in advanced data analysis on large data sets
- 3-4 years experience in leading a small team
- Strong experience working in a cross-functional environment supporting multiple areas of the business
Skills & Qualifications:
Demonstrated experience with:
- Development and deployment of machine learning and AI solutions (applied statistics, machine learning, model evaluation, data visualization)
- Data science and data engineering tools (scikit-learn, xgboost, pandas, numpy, scipy, jupyter notebook)
- Software engineering tools and practices (Python, Git, Unit testing, CI/CD principles)
- Visual analytics platforms (Tableau, Superset, Streamlit)
- Database and other data storage technologies (SQL, NoSQL, Oracle, MySQL, S3, Athena, DynamoDB)
- Cloud platform technology (AWS, MS Azure or Snowflake))
- System infrastructure in Linux (Bash, Docker, CRON, Apache Airflow)
Goodyear is one of the world's largest tire companies. It employs about 68,000 people and manufactures its products in 51 facilities in 19 countries around the world. Its two Innovation Centers in Akron, Ohio, and Colmar-Berg, Luxembourg, strive to develop state-of-the-art products and services that set the technology and performance standard for the industry. For more information about Goodyear and its products, go to Goodyear.com.
Goodyear is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by law.
Top Skills
Apache Airflow
Athena
AWS
Bash
Docker
DynamoDB
Git
Jupyter Notebook
Ms Azure
MySQL
NoSQL
Numpy
Oracle
Pandas
Python
S3
Scikit-Learn
Scipy
Snowflake
SQL
Streamlit
Superset
Tableau
Xgboost
Similar Jobs
Energy • Manufacturing • Solar • Renewable Energy
The Lead Engineer will develop, validate, and deploy AI/ML models for grid automation, ensuring performance and operational standards are met, while driving innovation in energy solutions.
Top Skills:
AWSAzureC#C++DockerGCPGraphdbHadoopKubernetesMatlabMongoDBNoSQLPythonPyTorchRScikit-LearnSparkSQLTensorFlow
Fintech • Analytics
Lead the development of production-grade generative AI solutions, managing MLOps and collaborating with teams to integrate ML models into systems and ensure operational excellence.
Top Skills:
Ci/CdCloud PlatformsContainerizationData AnalyticsData Processing FrameworksGenerative AiMachine LearningMicroservicesMlopsNon-Relational DatabasesOrchestration ServicesRelational Databases
Big Data • Fintech • Information Technology • Insurance • Financial Services
The Senior Associate for Technology Operations develops and designs Power Apps, manages workflows, resolves technical issues, and enhances Power Platform capabilities.
Top Skills:
DataversePower AppsPower AutomatePower PagesSharepoint
What you need to know about the Mumbai Tech Scene
From haggling for the best price at Chor Bazaar to the bustle of Crawford Market, the energy of Mumbai's traditional markets is a key part of the city's charm. And while these markets will always have their place, the city also boasts a thriving e-commerce scene, ranking among the largest in the region. Driven by online sales in everything from snacks to licensed sports merchandise to children's apparel, the local industry is worth billions, with companies actively recruiting to meet the demands of continued growth.
