Machine Learning Engineer

TE-3-6 Years

Location- Bangalore / Chennai / Hyderabad

NP- Immediate-15 days

What we’re looking for

4+ years building production data / ML or streaming systems with high TPS and large data volumes.

Strong coding skills in Python and one of Java / Scala; solid SQL and data modeling.

Hands‑on experience with Kafka (or similar), Spark / Flink, and OLAP stores—ideally ClickHouse.

GenAI pipelines : retrieval‑augmented generation (RAG), embeddings, prompt / tooling workflows, model evaluation at scale.

Proven experience designing feature pipelines with point‑in‑time correctness and backfills; understanding of online / offline consistency.

Experience instrumenting Superset dashboards tied to ClickHouse for operational and product analytics.

Fluency with CI / CD, containerization, Kubernetes, and infrastructure‑as‑code.

Solid grasp of distributed systems and architecture fundamentals : partitioning, consistency, idempotency, retries, batching vs. streaming, and cost / perf trade‑offs.

Excellent collaboration skills; ability to work cross‑functionally with DS / ML, product, and UI / UX.

Ability to pass a CodeSignal prescreen coding test.

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

www.griddynamics.com

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