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Open Positions (US Remote and India Remote)

Join our team

Data Engineer

  • Create complex data processing algorithms 
  • Collaborate with our team of Data Scientists to design scalable implementations
  • Write clean and iterative code based on TDD
  • Leverage various continuous delivery practices to deploy, support and operate data pipelines
  • Develop and operate modern data architecture approaches to meet key business objectives and provide end-to-end data solutions
  • Create data models and speak to the tradeoffs of different modeling approaches

Apply

Cloud Architect

  • Develop and maintain an IT plan to meet our long-term Product strategy
  • Proven ability and initiative to learn and research new concepts, ideas, and technologies quickly
  • Work with cloud vendors to evaluate and select services that can support agile business requirements
  • Provide cloud architectural consulting expertise, direction, and assistance to business relationship managers, leadership and solution architects
  • Drives cloud standards for adopting cloud services to ensure consistency
  • Assist with other projects as may be required to contribute to the efficiency and effectiveness of the product and sales teams
  • Work closely with Data Privacy, Security and Networking to ensure compliance of cloud deployments with the company’s policies and procedures
  • Assist in determining cloud roles, cost analysis and budget requirements needed to support cloud solution
  • Develop in-depth knowledge of company’s existing architecture/infrastructure, and technology portfolio
  • Prepare ROI analysis and assist with creating budget proposals to initiate the acquisition of cloud services
  • Perform analysis of large-scale, complex, cross-system, cross-platform changes or issues
  • Evaluate impact of cloud solutions in the company’s architecture and security
  • Develop and maintain understanding of key processes, schedules, cycles, profiles, etc. for the technical systems in use by a customer
  • Make presentations to management, clients, and peer groups

Apply

AI/ML Engineer

  • Understanding business objectives and developing models, along with metrics to track progress
  • Managing available resources such as hardware, data, and personnel
  • Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability
  • Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world
  • Verifying data quality, and/or ensuring it via data cleaning
  • Supervising the data acquisition process if more data is needed
  • Finding available datasets online that could be used for training
  • Defining validation strategies
  • Defining the preprocessing or feature engineering for a given dataset
  • Defining data augmentation pipelines
  • Training models and with real time tuning
  • Analyzing the errors of the model and designing strategies to overcome them
  • Deploying models to production

Apply

Dev Ops Engineer

  • Design, develop and support solutions which facilitate ease of service deployment, availability and operations
  • Participate in data center architecture design, implementation automation and support
  • Work collaboratively with Customer Service, Software Engineering, and Product Management to resolve complex operational issues
  • Provide Documentation to Customer Service on how to resolve complex issues
  • Provide support for our customers and internal users, including software engineering, cloud engineering, support engineering, sales and marketing. Including direct interaction with customers and real time problem solving

Apply

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