At Pitney Bowes, we do the right thing, the right way.  As a member of our team, you can too.

We have amazing people who are the driving force, the inspiration and foundation of our company. Our thriving culture can be broken down into four components: Client. Team. Win. Innovate.

We actively look for prospects who:
•    Are passionate about client success.
•    Enjoy collaborating with others.
•    Strive to exceed expectations.
•    Move boldly in the quest for superior and best in market solutions.

Job Description:

Impact

We are looking for a highly skilled and motivated Data and Data Science Platform Developer who will be responsible for creating and maintaining a robust platform for data analytics ad data science development and deployment. The ideal candidate should have a deep understanding of industry trends in data engineering,  data science and AI, possess strong software development skills, and be able to design and implement innovative features in our machine learning platform.

The Job

• Platform Development: Develop, enhance, and maintain a state-of-the-art data science platform that supports the end-to-end data science lifecycle, from data ingestion and preprocessing to model training and deployment.
• Innovative Features: Stay updated with the latest trends and advancements in data science and AI and implement cutting-edge features and tools in the platform to facilitate advanced analytics and machine learning.
• Production-Grade Solutions: Build and optimize solutions that are production-ready, scalable, and reliable, ensuring seamless deployment of data science models into real-world applications.
• Collaboration: Collaborate with cross-functional teams, including data scientists, engineers, and product managers, to understand their needs and translate them into platform features and capabilities.
• Security and Compliance: Ensure data security and compliance with relevant industry standards and regulations, implementing security measures to protect sensitive data.
• Performance Optimization: Continuously monitor and improve the platform's performance, scalability, and efficiency to meet the growing demands of data science projects.
• Documentation: Create clear and comprehensive documentation for platform features, APIs, and best practices to facilitate ease of use for internal and external users.
• Technical Support: Provide technical support to data science teams and end-users, troubleshoot issues, and offer guidance on platform usage

Required Qualifications & Skills

• UG - B.Tech/B.E. OR PG – M.S. / M.Tech in Computer Science, Engineering or related discipline
• 10 - 12 years’ experience in software development, with a focus on data science platforms, machine learning, and AI.

Must have:

• 7+ years of experience in working in cloud-enabled solutions in AWS, developing distributed applications.
• Solid expertise in cloud security and ability to build highly secure enterprise solutions.
• 5+ years working in distributed systems engineering and solid understanding of Big Data landscape
• Deep computer science fundamentals including Algorithms, Data Structures, and practical applications of these to build software systems
• Strong programming skills in languages such as Python
• Experience in MLOps, should have experience in training, inferencing of data science models
• Experience in Machine learning pipelines (MLFlow, TensorFlow, Sagemaker) is good to have
• Experience or knowledge building GenerativeAI applications using RAG
• Experience with containerization technologies (e.g., Docker, Kubernetes)
• Familiarity with data engineering concepts, including data pipelines and ETL processes
• Should have experience in designing highly scalable, highly available, cost optimized production systems
• Self-Driven, should have highly analytical, critical thinking ability & problem-solving skills

The Team

Pitney Bowes (NYSE: PBI) is a global shipping and mailing company that provides technology, logistics, and financial services to more than 90 percent of the Fortune 500. Small business, retail, enterprise, and government clients around the world rely on Pitney Bowes to remove the complexity of sending mail and parcels. For additional information visit Pitney Bowes at www.pitneybowes.com.

Only Talent Matters at Pitney Bowes

Pitney Bowes is an equal opportunity workplace. To remove unconscious biases from our hiring process, we encourage ‘Blind Applications’ from candidates applying for jobs at Pitney Bowes. This means that details such as gender, caste, religion, nationality, and age are omitted from applications. And candidates can choose to reveal only their first or last name on the application. Learn more here.

Read about Life at Pitney Bowes here and watch the videos below for more information about our company, culture, and practices:

• About Pitney Bowes
• Let’s Go India
• Pitney Bowes Culture 2023
• Pitney Bowes All Stars
• Pitney Bowes named a Great Place to Work®
• Pitney Bowes is Asia’s Top 50 Best Workplaces
• Intersectionality at Pitney Bowes
• Pitney Bowes COVID Care
• Pitney Bowes Gratitude Video

We will:

• Provide the will: opportunity to grow and develop your career
• Offer an inclusive environment that encourages diverse perspectives and ideas
• Deliver challenging and unique opportunities to contribute to the success of a transforming organization
• Offer comprehensive benefits globally (PB Live Well)

Pitney Bowes is an equal opportunity employer that values diversity and inclusiveness in the workplace.

All interested individuals must apply online.