AI Consultant (Automation, Data & Technical)

2-5+ years of hands-on experience designing, building, and deploying AI-driven automation, data pipelines, or ML solutions in production Proficiency in workflow automation tools (n8n, Make.com, Zapier) Proficiency in APIs like LLM APIs, REST APIs, webhooks, OAuth Proficiency in JSON/data formats Strong programming skills in Python/SQL Experience with data/ML libraries (pandas, scikit-learn, PyTorch/TensorFlow, LangChain) Experience with frameworks (Spark, Airflow, dbt) Experience with cloud services (S3, BigQuery, Snowflake, Databricks) Expertise in AI architectures (RAG, agents, GenAI) Expertise in integrations with different solutions systems Expertise in MLOps practices Knowledge of data governance, privacy regulations (GDPR, CCPA), and ethical AI 2+ years client-facing experience advising on AI/automation strategy, process optimization, or technical solutions Ability to audit processes, quantify ROI, manage multiple projects independently, and communicate complex ideas

Conduct process audits and AI readiness assessments Develop AI integration strategies and roadmaps with ROI projections Advise on AI models, tools, data governance, and ethical practices Design and build automation workflows using platforms like n8n, Make.com, Zapier Integrate LLMs via APIs Architect and implement data pipelines, vector databases, and RAG systems Build intelligent agents, multi-agent architectures, chatbots, and RPA solutions Develop production AI/ML solutions including pipelines, deployment, and monitoring Integrate with systems (SAP, Workday, CRMs), APIs, databases, and cloud platforms Handle data cleaning, structuring, predictive analytics, NLP, computer vision, and GenAI Prototype Proof of Concepts, troubleshoot, optimize, and document Support deployment across cloud platforms (AWS, Azure, GCP, Databricks)