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Avanade

Digital transformation, cloud, and IT consulting.

Tech Architect ML & AI Engineer - Advanced Analytics

Applied Machine LearningUpdated on Nov 12
Full-time€39k - €55k

About the Job

Requirements

  • At least 5–6 years of experience developing artificial intelligence solutions in structured enterprise environments.
  • Strong knowledge of Python for machine learning and data science.
  • Strong knowledge of SQL and data modeling.
  • Experience with machine-learning libraries such as Scikit-learn, XGBoost, LightGBM, and Prophet.
  • Experience with deep-learning frameworks such as PyTorch, TensorFlow, and Keras.
  • Familiarity with MLOps tools such as MLflow.
  • Experience with large language models, prompting techniques, and retrieval-augmented generation systems.
  • Experience with Microsoft cloud platforms and services such as Azure OpenAI, Microsoft Fabric, and/or Databricks for machine learning or generative AI.
  • Knowledge of version control practices using Git, testing, and continuous integration/continuous delivery.
  • People-management skills.
  • A degree in Computer Science, Computer Engineering, Data Science, or a related discipline.
  • Good written and spoken English.

Responsibilities

  • Collaborate with machine-learning and AI engineers, full-stack AI developers, data engineers, and solution architects to integrate machine-learning and AI models into modern cloud architectures.
  • Write high-quality Python/PySpark code and SQL for data analysis and transformation.
  • Work with traditional machine-learning and deep-learning models.
  • Develop solutions based on large language models, including retrieval-augmented generation and intelligent agents.
  • Design and develop machine-learning pipelines and AI solutions from prototyping through production deployment.
  • Use MLOps and DevOps tools to manage, version, and deploy models.
  • Contribute to client discussions and translate business needs into effective AI solutions.

Desired Qualifications

  • Experience with leading large-language-model frameworks such as LangChain, LangGraph, and LlamaIndex.
  • Experience with open-source large language models such as LLaMA, Mistral, and Mixtral, and optimization techniques such as LoRA and fine-tuning.
  • Experience with Hugging Face Transformers.
  • Experience with services such as AI Foundry.
  • Experience deploying AI models on containerized infrastructure using Docker and Kubernetes.
  • Relevant AI/ML certifications, including Microsoft AZ-900, AI-900, AI-102, AI-100, DP-100, or DP-600, or Databricks Machine Learning Associate, Machine Learning Professional, or Databricks Certified Generative AI Practitioner.

About the Company

Avanade

Digital transformation, cloud, and IT consulting.

Avanade helps large organizations move to digital operations using Microsoft-based solutions. It combines consulting, implementation, and managed services to deliver digital transformation, cloud migration, and optimized business processes. Its offerings are built around the Microsoft ecosystem, with partnerships with Microsoft and Accenture enabling tailored, enterprise-grade deployments. Avanade differentiates itself by aligning technology delivery with business outcomes for enterprise and public sector clients, focusing on long-term service contracts and customized design-led experiences. The company's goal is to drive efficiency, improve customer experiences, and support sustainable growth for clients through technology-enabled transformation.

Company size
10,001+
Company stage
Not listed
Total funding
Not listed
Headquarters
Seattle, WA
Founded
2000

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