{"@context":"https://schema.org","@type":"JobPosting","title":"Data Engineer - Python /GenAI","description":"Bachelor's degree in Computer Science, Data Science, Engineering, or related field

7–10+ years of experience developing scalable applications, including AI/ML systems

Strong expertise in Python and data libraries (NumPy, Pandas, etc.)

Proven experience with LLMs and GenAI frameworks and their practical application in enterprise solutions

Experience designing and deploying machine learning systems across training, inference, and monitoring

Strong understanding of system architecture, distributed systems, and data engineering concepts

Demonstrated ability to lead technical initiatives and mentor teams

Strong analytical, problem-solving, and decision-making skills

Ability to work effectively across global, cross-functional teams

This is a senior development role responsible for leading the design, architecture, and implementation of advanced applications and data-driven solutions within the Technology team. The role requires deep expertise in Python, data engineering, and AI/GenAI (including LLMs), with a strong focus on delivering scalable, innovative solutions to complex business problems. The individual will drive end-to-end development efforts, influence architecture decisions, and lead engineering teams while ensuring alignment with enterprise standards and strategic objectives.","datePosted":"2026-07-03T00:00:00.000Z","validThrough":"2026-09-01T00:00:00.000Z","employmentType":"FULL_TIME","identifier":{"@type":"PropertyValue","name":"myjobb-ai","value":"4856157"},"url":"https://myjobb.ai/jobs/data-engineer-python-genai/4856157","directApply":false,"hiringOrganization":{"@type":"Organization","name":"Virtusa Consulting Services","logo":"https://static.ambitionbox.com/assets/v2/images/rs:fit:200:200:false:false/aHR0cHM6Ly9tZWRpYS5uYXVrcmkuY29tL21lZGlhL2FiY29tcGxvZ28vdmlydHVzYS1jb25zdWx0aW5nLXNlcnZpY2VzLW9yaWdpbmFsLmpwZw.webp","sameAs":"https://www.virtusa.com/"},"jobLocation":[{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Pune","addressRegion":"Maharashtra","addressCountry":"India"}}]}