Veeam Software

Veeam Software

Veeam Software is the global leader in Backup that delivers Modern Data Protection, offering solutions for virtual environments, enterprises, small businesses, and service providers worldwide.

Internet Software & Services
1K-5K
Founded 2006
$500M raised

Description

  • Design, develop, and deploy scalable data science, machine learning, and AI solutions that drive business value.
  • Build production-ready machine learning pipelines, including feature engineering, model development, deployment, and monitoring.
  • Develop AI-powered applications using modern frameworks such as Streamlit and integrate large language models into business workflows.
  • Design and maintain Retrieval-Augmented Generation solutions, knowledge bases, and AI agents using structured and unstructured enterprise data.
  • Perform quantitative and qualitative analyses to identify trends, generate insights, and support strategic decision-making.
  • Partner with business stakeholders to translate complex business problems into scalable AI and analytics solutions.
  • Collaborate with data engineers, software engineers, analysts, and product teams on cross-functional initiatives.
  • Improve existing data science processes, identify automation opportunities, and promote engineering best practices.
  • Contribute to technical documentation, knowledge sharing, and continuous improvement initiatives.

Requirements

  • 4+ years of professional experience in Data Science, Machine Learning, AI Engineering, or a related field.
  • Strong programming skills in Python and SQL.
  • Experience designing and deploying scalable machine learning solutions, including feature engineering, model evaluation, deployment, and MLOps practices.
  • Hands-on experience with large language models, prompt engineering, Retrieval-Augmented Generation, Model Context Protocol, or similar AI frameworks.
  • Solid understanding of data engineering concepts, including ETL/ELT pipelines, data modeling, governance, and storage optimization.
  • Experience with Databricks, PySpark, or distributed data processing platforms.
  • Familiarity with software engineering best practices, including APIs, version control, testing, CI/CD, and deployment workflows.
  • Experience with business intelligence and visualization tools such as Tableau, Power BI, or Qlik.
  • Excellent analytical thinking, problem-solving, communication, and technical writing skills.
  • Experience using Agile project management tools such as Jira, Confluence, or Trello.
  • Experience developing AI copilots, autonomous agents, or conversational AI applications.
  • Exposure to cloud-native AI and machine learning platforms.
  • Familiarity with vector databases, embeddings, and semantic search technologies.
  • Experience working in Revenue Operations, Sales Analytics, or Business Intelligence environments.
  • Knowledge of OpenAI or similar generative AI ecosystems.

Benefits

  • Two weeks of paid vacation, 12 statutory holidays, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares.
  • Paid parental leave for fathers, birthing parents, and adoptive parents.
  • Medical, dental, and vision coverage fully funded for employees and dependents.
  • Mental health support, therapy sessions, and virtual care through the Employee Assistance Program.
  • Retirement and social security contributions through Costa Rica’s statutory programs.
  • Life insurance equal to 24x monthly salary, plus disability and funeral coverage.
  • Daily cafeteria subsidy.
  • Fertility, adoption, and surrogacy support.
  • Access to learning resources, mentoring, workshops, and learning events such as the annual Global Day of Learning.

Interested in this position?

Apply directly on the company website

Apply Now

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