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Senior AI Data Engineer
Luxoft
Bengaluru, IND
Full-time
Senior · 5+ years experience
Discovered 2 weeks ago
• Minimum of 5 years of experience in AI/ML solution implementation (mandatory) • Minimum of 3 years of experience in Pyspark processing high volume data (mandatory) • AI & ML Skills: Multi-Agent System Design & Orchestration Full-stack AI Integration (Frontend to Backend) Advanced Prompt Engineering LLM Observability, Evaluation & Monitoring (LLMOps) • Data Engineering Skills: Proficient in Pyspark coding and concepts. Example: Lazy evaluation, window functions, spark architecture and performance finetuning (ex: data skew reduction (salting etc), joins (broadcast, merge sort joins ect) SQL proficiency and query optimization • Main Technologies: Pyspark Git hub Copilot
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Ready to ScanKey skills for this role
• Minimum of 5 years of experience in AI/ML solution implementation (mandatory) • Minimum of 3 years of experience in Pyspark processing high volume data (mandatory) • AI & ML Skills: Multi-Agent System Design & Orchestration Full-stack AI Integration (Frontend to Backend) Advanced Prompt Engineering LLM Observability, Evaluation & Monitoring (LLMOps) • Data Engineering Skills: Proficient in Pyspark coding and concepts. Example: Lazy evaluation, window functions, spark architecture and performance finetuning (ex: data skew reduction (salting etc), joins (broadcast, merge sort joins ect) SQL proficiency and query optimization • Main Technologies: Pyspark Git hub Copilot
Key Skills for This Role
• Minimum of 5 years of experience in AI/ML solution implementation (mandatory) • Minimum of 3 years of experience in Pyspark processing high volume data (mandatory) • AI & ML Skills: Multi-Agent System Design & Orchestration Full-stack AI Integration (Frontend to Backend) Advanced Prompt Engineering LLM Observability, Evaluation & Monitoring (LLMOps) • Data Engineering Skills: Proficient in Pyspark coding and concepts. Example: Lazy evaluation, window functions, spark architecture and performance finetuning (ex: data skew reduction (salting etc), joins (broadcast, merge sort joins ect) SQL proficiency and query optimization • Main Technologies: Pyspark Git hub Copilot
Full Job Posting
Responsibilities
- Design, develop, and maintain full-stack Python applications with modern frontend frameworks • Build and optimize RAG (Retrieval-Augmented Generation) systems for AI applications • Create and implement efficient vector databases and knowledge stores • Develop APIs that connect frontend interfaces with backend AI services • Implement and maintain CI/CD pipelines for AI applications • Monitor application performance and troubleshoot issues in production • Design and maintain data pipelines, ETL/ELT workflows, and data infrastructure to support AI and analytics workloads
Skills
- Minimum of 5 years of experience in AI/ML solution implementation (mandatory) • Minimum of 3 years of experience in Pyspark processing high volume data (mandatory) • AI & ML Skills: Multi-Agent System Design & Orchestration Full-stack AI Integration (Frontend to Backend) Advanced Prompt Engineering LLM Observability, Evaluation & Monitoring (LLMOps) • Data Engineering Skills: Proficient in Pyspark coding and concepts. Example: Lazy evaluation, window functions, spark architecture and performance finetuning (ex: data skew reduction (salting etc), joins (broadcast, merge sort joins ect) SQL proficiency and query optimization • Main Technologies: Pyspark Git hub Copilot
About Luxoft
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