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Job Description
JD:
· Data Analytics: Data analysis, SQL, Python, data modelling, reporting, KPI/dashboard development, and business insights generation.
· AI Agents: Experience with LLMs, AI agent workflows, prompt engineering, RAG, automation, agent orchestration, and AI-driven business solutions.
Machine Learning experience is a plus, but it is not a mandatory requirement for this role
More Info
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Industry:
Function:
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Key Skills
KPI/dashboard development
LLMs
prompt engineering
RAG
About Company
Skills:
Image Processing, Data Science, deep learning frameworks, chatbot development, production-quality AI pipelines, generative AI models, AI applications, neural network architectures, cloud AI services, on-premises infrastructure
Skills:
workflow engines , Python, tool function calling, tracing observability tooling, Logfire, AI systems in production, prompting, Temporal, OpenTelemetry, pydantic-ai, LiteLLM, MCP, agent architectures
Skills:
Nlp, Machine Learning, Agile Scrum, Data Modeling, Python, AI orchestration frameworks, Autonomous AI systems, Prompt engineering, LLMs, Multi-agent architectures, RAG pipelines
Skills:
Pytorch, Python, EDA Tools, Scientific Computing, Spice, reinforcement learning
Skills:
Python, vector stores, data pipeline development, retrieval strategies, re-ranking, multi-step agent workflows, embedding models, prompt engineering, RAG architectures