TTEC Digital

TTEC Digital

TTEC Digital is a global leader in customer service solutions, offering contact center software, customer service technology, and tailored solutions for businesses. With a focus on combining humanity and technology, TTEC Digital pioneers exceptional cu...

Professional Services
1K-5K
Founded 1982

Description

  • Develop, train, validate, and deploy production-grade predictive and prescriptive machine learning models.
  • Architect and deploy generative AI solutions, including RAG pipelines, custom LLM applications, and prompt engineering frameworks.
  • Design autonomous AI agents and multi-agent workflows for complex client business challenges.
  • Build advanced analytics models to measure campaign performance, predict customer behavior, and improve ROI.
  • Translate analytical results into executive-ready presentations, dashboards, and data visualizations.
  • Analyze client data and develop optimized cloud-based analytics datasets and workflows.
  • Lead client workshops to define objectives, assess data landscapes, and structure business problems into data science methodologies.
  • Create architecture and pipeline design documentation, provide technical leadership and code reviews, and mentor junior team members.
  • Support multiple client engagements independently and collaboratively, including pre-sales scoping and effort estimation.
  • Continue developing AI/ML expertise through on-the-job and formal learning opportunities.

Requirements

  • Post-secondary degree or diploma in Data Science, Statistics, Computer Science, Economics, Business Analytics, or a related IT field.
  • 5–8 years of experience in data science, advanced analytics, or management consulting.
  • 3+ years of external client-facing consulting or professional services experience.
  • 3+ years of application, model design, and deployment experience in cloud environments; GCP preferred.
  • 1–2+ years of hands-on experience building generative AI systems and agentic AI workflows.
  • Experience delivering traditional predictive models and modern AI solutions to enterprise stakeholders.
  • Proficiency with Python libraries including pandas, NumPy, scikit-learn, XGBoost, PyTorch/TensorFlow, and Transformers, plus advanced SQL.
  • Experience with GCP tools such as Gemini Enterprise, Vertex AI Agent Builder, BigQuery ML, Model Garden, Dataflow, and Cloud Storage.
  • Knowledge of RAG, LangChain, LlamaIndex, AutoGen/CrewAI, vector databases, multi-agent orchestration, MLOps/LLMOps, BI tools, and Agile/Scrum; relevant Google Cloud certification preferred.
  • Strong client communication, leadership, problem-solving, commercial, project management, and technical storytelling skills.

Benefits

  • Remote work opportunity in Canada.
  • Professional learning and development opportunities.
  • Inclusive, equal-opportunity workplace committed to workforce diversity.
  • Great Place to Work 2024–2025 certified employer.

Interested in this position?

Apply directly on the company website

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