Data engineering and AI consulting for analytics infrastructure
Algoscale is a data consulting firm built around Python, SQL, and cloud data platforms (Databricks, Snowflake, BigQuery, Azure). They're actively adopting RAG and LangChain—a signal they're moving AI capability upstream into client solutions rather than staying purely infrastructure-focused. The hiring mix (engineering-heavy, balanced data/sales) and active projects (lead gen, pipeline management) suggest they're scaling their own GTM alongside delivery.
Algoscale is a boutique data consulting firm with US incorporation and an engineering center in Noida, India. They help mid-market and enterprise organizations build data infrastructure, analytics platforms, and AI solutions across the full data lifecycle—from warehouse architecture (Snowflake, BigQuery, Redshift, Azure Synapse) through transformation (dbt, Airflow, Prefect) to applied machine learning and decision science. Their service areas span data engineering, analytics, NLP, and predictive modeling. They operate with a talent pool drawn primarily from India.
Core: Python, SQL, Django, PostgreSQL, MySQL, Docker, Kubernetes. Data platforms: Databricks, Snowflake, BigQuery, Redshift, Azure (Data Lake, Data Factory, Synapse). Orchestration: Apache Airflow, Prefect. Emerging: RAG, LangChain, LlamaIndex for AI.
Yes. Active roles span engineering (6 open), data (3), and sales (2), posted steadily. Mix tilts mid-level and senior. Hiring in India only.
Current projects: outbound lead generation campaign, sales pipeline management, and target account research—indicating internal GTM scaling alongside client delivery work.
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