Hiring: Senior Consultant, Data Science & AI Company: TTEC Digital Location: Austin, TX Job Posted Time: 2026-09-16 20:59:13 Target Skills & Keywords : Agile, BigQuery, CI/CD, Cloud Storage, Data Warehouse, Fine-tuning, GCP, LLM, LangChain, LlamaIndex, MLOps, Machine Learning, NumPy, Pandas, Pinecone, PyTorch, Python, RAG, SQL, Scrum, TensorFlow, Transformers, Vertex AI, XGBoost, scikit-learn About the job Experience: •8 years of total experience in Data Science, Advanced Analytics, or Management Consulting •3+ years of experience in an external client-facing consulting or professional services capacity •3+ years of application, model design, and deployment experience natively within a cloud environment (GCP preferred) •2+ years of hands-on experience architecting and deploying Generative AI systems (e.g., RAG pipelines, fine-tuned LLMs) and Agentic AI workflows (e.g., autonomous agents, tool-use integration) Required Skills: •Develop Machine Learning Models: End-to-end development, training, and deployment of production-grade predictive and prescriptive models (e.g., propensity modeling, customer segmentation, demand forecasting) •Design & Deploy Generative AI Solutions: Architect, fine-tune, and evaluate enterprise Gen AI systems—including Retrieval-Augmented Generation (RAG) pipelines, custom LLM applications, and prompt engineering frameworks—to extract insights from unstructured data •Architect Agentic AI Systems: Design and deploy autonomous AI agents and multi-agent workflows capable of multi-step reasoning, tool utilization, and task automation to solve complex client business challenges •Deliver Advanced Analytics: Help clients maximize the efficiency of their strategic initiatives by building advanced analytics models that measure campaign performance, predict customer behavior, and maximize long-term ROI •Data Storytelling & Visualization: Synthesize complex algorithmic outcomes and machine learning metrics into compelling, executive-ready presentations and dashboards that clearly articulate business value and ROI •Develop and Maintain Analytics Workflows: Analyze raw client data and build optimized analytics datasets within cloud environments to support modeling and reporting •Lead workshops with external clients to uncover business objectives, map out data landscapes, and translate vague business problems into structured data science methodologies •Create solutions and design documentation for client data science architectures and ML pipelines Qualifications: •Post-Secondary Degree (or Diploma) related to Data Science, Statistics, Computer Science, Economics, Business Analytics, or an IT-related field •5–8 years of total experience in Data Science, Advanced Analytics, or Management Consulting •1–2+ years of hands-on experience architecting and deploying Generative AI systems (e.g., RAG pipelines, fine-tuned LLMs) and Agentic AI workflows (e.g., autonomous agents, tool-use integration) •Demonstrated experience delivering both traditional predictive models and modern AI solutions to enterprise stakeholders •Google Cloud Certified Professional Data Engineer, Professional Machine Learning Engineer, or equivalent Generative AI/Cloud Certifications (Highly Preferred) •Python Stack: pandas, numpy, scikit-learn, XGBoost, PyTorch/TensorFlow, Transformers •Generative & Agentic AI Frameworks: LangChain, LlamaIndex, AutoGen/CrewAI, Prompt Engineering, RAG architectures, Multi-Agent Orchestration, Function Calling & Tool Integration •Vector Databases & Search: BigQuery Vector Search, Google Cloud Vector Search, Pinecone, Chroma, or FAISS •SQL: Advanced query optimization for large-scale data warehouses •Google Cloud Platform (Core focus): Gemini Enterprise, Vertex AI Agent Builder, BigQuery ML, Model Garden (Model development, fine-tuning, and deployment) Compensation: •$120,000 - $134,996 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!