4 Cloud Frameworks Jobs

You should have experience with Java and web application development using J2EE technologies, Java scripting, HTML, and MVC pattern. Solid experience with object-oriented development concepts is required. You should also have experience using Java web frameworks such as Spring Boot, Hibernate, JPA, and Angular, with experience in Typescript - Angular being preferred. Solid experience with MFE and Micro Services is a must, and understanding on Gravitee is a plus. Experience with PL/SQL, SQL, and Oracle is preferred. A good understanding of the Agile Scrum methodology and SDLC process is necessary. Knowledge of Service Oriented Architecture (SOA), Distributed Software Architecture, and Web Application Architecture is expected. Experience with Apache, Tomcat, Maven, JIRA, and GIT is required. Experience with RDBMS Oracle is preferred, with understanding of any cloud frameworks - Azure being preferred. UNIX/Linux command level experience and build automation knowledge is essential. Familiarity with web services (SOAP and REST) is also necessary for this role.,

The company believes in conducting business guided by core values of Inclusion, Innovation, Collaboration, and Wellness. Working as one global team, they prioritize customers and emphasize taking care of oneself, each other, and the communities. Your way to impact: Identify AI ML opportunities and build solutions that impact the business Explore and execute to get solid results Your day to day: In your role, you will: Lead ML Projects and conduct research to identify new and innovative ML techniques. Innovate to create efficiencies for the team and the business. Work closely with other engineers, analysts, and leaders to implement and optimize ML models. Develop and implement best practices for ML model management, deployment, and monitoring. Collaborate with other teams to ensure ML models are integrated into the product and services. Assist with troubleshooting and resolving technical issues. Responsible for documentation, project tracking, and quality controls. What do you need to bring: The ideal candidate will possess a degree in engineering, science, statistics, or mathematics with a strong technical background in machine learning. Candidates should have excellent communication skills, an analytical mindset, and a passion for problem-solving. 5+ years of hands-on experience with problem-solving using Machine Learning. Hands-on experience with Python or Java, along with relevant technologies such as Spark, Hadoop, BigQuery, SQL, is required. In-depth knowledge of machine learning algorithms, explainable AI methods, GenAI, and NLP. Experience with Cloud frameworks such as GCP, AWS is preferred. Experience with Lending and Financial services is a plus. Our Benefits: To learn more about our culture and community, visit https://about.pypl.com/who-we-are/default.aspx Commitment to Diversity and Inclusion Please Join our Talent Community for any general requests for consideration of your skills. We encourage all candidates to apply, overcoming the confidence gap and imposter syndrome.,

The company believes in conducting business every day based on core values of Inclusion, Innovation, Collaboration, and Wellness, ensuring a global team works together with customers at the center. As part of the team, you will have the opportunity to impact the business by identifying AI ML opportunities and building solutions that drive results. You will lead ML projects, conduct research to discover new ML techniques, and innovate to enhance team and business efficiencies. Collaborating closely with engineers, analysts, and leaders, you will implement and optimize ML models, establish best practices for model management, deployment, and monitoring, and integrate ML models into products and services. Additionally, you will assist in troubleshooting technical issues, maintain documentation, project tracking, and quality controls. The ideal candidate will have a degree in engineering, science, statistics, or mathematics, possessing a strong technical background in machine learning. Excellent communication skills, an analytical mindset, and a passion for problem-solving are essential. Candidates should have at least 3 years of hands-on experience in problem-solving using Machine Learning, proficiency in Python or Java, and familiarity with technologies like Spark, Hadoop, BigQuery, and SQL. Deep knowledge of machine learning algorithms, explainable AI methods, GenAI, and NLP is required, along with experience with Cloud frameworks such as GCP and AWS. Experience in Lending and Financial services is considered a plus. The company offers a range of benefits, and it is committed to Diversity and Inclusion. To understand more about the company's culture and community, visit https://about.pypl.com/who-we-are/default.aspx. If you are interested in joining the Talent Community or have any questions related to your skills, please don't hesitate to apply, as the company values all candidates and aims to bridge the confidence gap and imposter syndrome.,

As a Senior Data Scientist in the Global Data Science & Advanced Analytics team at Colgate-Palmolive, your role will involve leading projects within the Analytics Continuum. You will be responsible for conceptualizing and developing machine learning, predictive modeling, simulations, and optimization solutions to address business questions with clear dollar objectives. Your work will have a significant impact on revenue growth management, price elasticity, promotion analytics, and marketing mix modeling. Your responsibilities will include: - Conceptualizing and building predictive modeling solutions to address business use cases - Applying machine learning and AI algorithms to develop scalable solutions for business deployment - Developing end-to-end business solutions from data extraction to statistical modeling - Conducting model validations and continuous improvement of algorithms - Deploying models using Airflow and Docker on Google Cloud Platforms - Leading pricing, promotion, and marketing mix initiatives from scoping to delivery - Studying large datasets to discover trends and patterns - Presenting insights in a clear and interpretable manner to business teams - Developing visualizations using frameworks like Looker, PyDash, Flask, PlotLy, and streamlit - Collaborating closely with business partners across different geographies To qualify for this position, you should have: - A degree in Computer Science, Information Technology, Business Analytics, Data Science, Economics, or Statistics - 5+ years of experience in building statistical models and deriving insights - Proficiency in Python and SQL for coding and statistical modeling - Hands-on experience with statistical models such as linear regression, random forest, SVM, logistic regression, clustering, and Bayesian regression - Knowledge of GitHub, Airflow, and visualization frameworks - Understanding of Google Cloud and related services like Kubernetes and Cloud Build Preferred qualifications include experience with revenue growth management, pricing, marketing mix models, and third-party data. Knowledge of machine learning techniques and Google Cloud products will be advantageous for this role. Colgate-Palmolive is committed to fostering an inclusive environment where diversity is valued, and every individual is treated with respect. As an Equal Opportunity Employer, we encourage applications from candidates with diverse backgrounds and perspectives. If you require accommodation during the application process due to a disability, please complete the request form provided. Join us in building a brighter, healthier future for all.,