Architect (ATC)

P1C3TSTS Python-focused Data Engineer with strong hands-on coding skills in data-intensive systems. The role focuses on building scalable data pipelines, processing large datasets, and enabling AI/Generative AI applications through well-structured data infrastructure.Use data analysis and manipulation tools to handle large datasets efficientlyDevelop reusable Python modules for data ingestion and pipeline automationPerform exploratory data analysis (EDA) to understand data patterns and quality issuesOptimize data workflows for performance, scalability, and reliabilitySupport data requirements for AI/ML and Generative AI systemsBuild data services and APIs to support downstream AI applicationsEnsure data quality, consistency, and observability across pipelinesRequired Python & Data Libraries (Hands-on Experience Mandatory) Candidates must have strong practical experience with pandas — data manipulation, transformation, and analysis NumPy — numerical operations and array-based processingMatplotlib — data visualization and reporting scikit-learn — basic ML workflows and model evaluationPyTorch — deep learning and AI model experimentation AI / Generative AI EnablementPrepare and structure datasets for ML and LLM-based systems Support integration of AI models into data pipelines and applicationsEnable workflows for Generative AI use cases (RAG systems, agent workflows)Work with multiple AI model providers OpenAIAnthropicLLaMA MistralExposure to AI orchestration frameworks such as LangChain, AutoGen, and CrewAI Core Strong SQL skills for data extraction and manipulationUnderstanding of data modeling and analytics workflows Ability to support end-to-end data-to-AI pipelinesPreferred / Good to HaveExperience with big data or distributed processing systemsUnderstanding of vector databases and embedding-based retrieval systemsExperience building APIs or services for data/AI systemsFamiliarity with cloud platforms (AWS, Azure, GCP)Exposure to production monitoring and data observability tools Python, ETL, SQL Pandas, Nympy, Matplotlib, scikit-learn, PyTorchOpen AI, Anthropic, LLaMA, Mistral AI orchestration frameworks such as LangChain, AutoGen, and CrewAI DB ( SQL, No SQL, Oracle)GCP, AWSAPI, Data Systems