Job Overview

Title:

Machine Learning Engineer

Description:

te-9 years and above

location-bangalore

np-immediate-15 days


  • lead the design, development, and deployment of ai-based automation tools for data artifact migration.
  • develop machine learning models to intelligently map, transform, and validate data across different big data platforms.
  • build robust data pipelines to handle high-volume, high-velocity data migration.
  • collaborate with data engineers and architects to integrate ai-driven solutions into existing data workflows.
  • implement nlp and pattern recognition algorithms to automate schema conversion and data validation.
  • design custom algorithms for automated data quality checks and anomaly detection.
  • mentor junior engineers and contribute to technical leadership within the ai engineering team.
  • stay updated with the latest advancements in ai, big data technologies, and automation frameworks.
  • create comprehensive technical documentation and best practice guidelines for ai-based data migration.


details on tech stack

  • splunk
  • clickhouse
  • grafana
  • data migration automation


about us:

grid dynamics (nasdaq:gdyn) is a digital-native technology services provider that accelerates growth and bolsters competitive advantage for fortune 1000 companies. grid dynamics provides digital transformation consulting and implementation services in omnichannel customer experience, big data analytics, search, artificial intelligence, cloud migration, and application modernization. grid dynamics achieves high speed-to-market, quality, and efficiency by using technology accelerators, an agile delivery culture, and its pool of global engineering talent. founded in 2006, grid dynamics is headquartered in silicon valley with offices across the us, uk, netherlands, mexico, india, central and eastern europe.

to learn more about grid dynamics, please visit . follow us on facebook , twitter , and linkedin .

Salary:

$1137507-$1673129 Annual

Company:

Grid Dynamics

Location:

Not Specified, Not Specified, India