Senior Data Science Engineer
IndiaFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 6+ years
- Required Skills
- AWSPostgreSQLPythonElasticSearchGCPAzureGenerative AI
Requirements
- 6+ years of experience in Python development.
- Strong hands-on expertise with Elasticsearch/ELK Stack.
- Advanced knowledge of PostgreSQL.
- 3+ years of experience building and deploying Generative AI, NLP, or LLM-based production systems.
- Strong understanding of RAG architectures, vector embeddings, and multi-agent AI systems.
- Experience working with cloud platforms such as AWS, Azure, and GCP in production environments.
- Hands-on experience with Docker, CI/CD pipelines, and Infrastructure-as-Code tools.
- Strong problem-solving skills for debugging distributed systems.
- Excellent communication skills.
- Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related quantitative field.
Responsibilities
- Design and optimize high-performance data, search, and AI systems across large-scale distributed environments.
- Architect and maintain ELK-based observability and search systems for real-time data ingestion, indexing, and analytics.
- Develop and optimize PostgreSQL databases, including advanced query design and performance tuning.
- Build and deploy production-grade Generative AI systems, including RAG pipelines and multi-agent orchestration frameworks.
- Design and implement AI agents capable of executing complex workflows using LLMs, embeddings, and tool-calling architectures.
- Deploy and manage cloud-native AI and data workloads across AWS, Azure, and GCP.
- Implement containerized MLOps workflows using Docker, CI/CD pipelines, and Infrastructure-as-Code practices.
- Collaborate with cross-functional teams to define system architecture.
- Lead technical decision-making across data, AI, and infrastructure layers.
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