AI/ML Engineer - R01570580 at Brillio (Bengaluru, India)
Brillio· Bengaluru, India·
Role details
Work type
Hybrid
Job description
Senior Data Engineer
Primary Skills
- DataStream, ETL Fundamentals, SQL, SQL (Basic + Advanced), Python, Data Warehousing, Time Travel and Fail Safe, Snowpipe, SnowSQL, Modern Data Platform Fundamentals, Data Modelling Fundamentals, PLSQL, T-SQL, Stored Procedures
Job requirements
- Role Overview We are looking for a Snowflake Cortex + SQL Developer with strong SQL fundamentals and an interest in Generative AI. The candidate will work on Snowflake data solutions and leverage Snowflake Cortex AI Functions to build AI-powered data processing and analytics use cases. Key Responsibilities Develop complex SQL queries, joins, CTEs, views, stored procedures and data transformations in Snowflake. Work with Snowflake Cortex AI Functions such as AI_COMPLETE, AI_CLASSIFY, AI_EXTRACT, AI_SENTIMENT, AI_EMBED and AI_SUMMARIZE_AGG. Build AI-powered data processing and analytics solutions using SQL. Work with structured and unstructured data within Snowflake. Perform data validation, quality checks and troubleshooting. Optimize SQL queries for performance and cost. Support development of GenAI use cases such as summarization, classification, information extraction and semantic search. Collaborate with data engineers, analysts and business teams to understand requirements and deliver solutions. Required Skills Strong knowledge of SQL. Good understanding of Snowflake concepts and data warehousing. Basic understanding of Generative AI / LLM concepts. Hands-on or academic exposure to Snowflake Cortex / Cortex AI Functions. Knowledge of data transformation, joins, CTEs and analytical functions. Good problem-solving and analytical skills. Education Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.
Why work at Brillio
- Culture: Rated 4.0/5.0 on Glassdoor (2,264 reviews) and 4.0/5.0 on LinkedIn; 80% would recommend to a friend; Great Place to Work® certified in the USA.
- Work environment: Engineers get meaningful ownership within clear guardrails – autonomy to make architecture and trade-off calls on their workstreams.
- Learning & growth: Brillio Academy, hackathons, personalized career development framework; exposure to cutting-edge GenAI and agentic AI projects.
- Remote / hybrid / office: Not explicitly stated, but global delivery locations suggest a mix of on-site and remote (roles posted across multiple countries).
- Benefits: “BYou” wellness program built on four pillars of wellness – personal and professional well-being and development.
- Interview process: Focus on software fundamentals, LLMs, RAG, agents, evaluation, and a design or debugging exercise; candidates should be ready to walk through a real system they shipped.