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Senior AI Engineer


Do you speak fluent Python? Love automating MLOps pipelines on Azure and fine-tuning GPTs? If building AI solutions that are used excites you, this challenge is yours.


Why this is exciting for you


  • Lead end-to-end AI projects that deliver measurable business impact
  • Work with cutting-edge AI & ML technologies, including GPTs, Falcon, Stable Diffusion, and Azure AI Foundry
  • Take ownership of scalable, production-grade AI solutions with full MLOps pipelines
  • Mentor colleagues and shape the growth of the team, establishing yourself as a technical leader
  • Freedom to innovate, experiment, and make your mark in a supportive culture


What you’ll own


  • Design, develop, and deploy machine learning models and Generative AI applications on Azure
  • Architect and implement end-to-end MLOps pipelines for training, deployment, monitoring, and CI/CD automation
  • Oversee AI solutions in production, ensuring scalability, reliability, and performance
  • Champion Responsible AI principles, ensuring fairness, explainability, and privacy
  • Collaborate with stakeholders to deliver AI solutions that generate real business value
  • Mentor junior engineers in ML development, MLOps, and Azure-based AI best practices


Who you are


  • 5+ years as a senior AI/ML engineer with end-to-end project ownership
  • Proficient in Python, with experience in ML frameworks like scikit-learn, TensorFlow, PyTorch, and open-source models (Hugging Face, GPTs, LLaMA, etc.)
  • Extensive hands-on experience with Microsoft Azure ecosystem: Azure ML, Data Lake, Data Factory, DevOps, AKS, AI Foundry
  • Skilled in MLOps, CI/CD, Docker, and infrastructure as code (ARM, Bicep, Terraform)
  • Experienced in analyzing, optimizing, and deploying production-grade AI systems
  • Strong analytical, problem-solving, and communication skills to guide teams and collaborate with technical and non-technical stakeholders


Don’t tick every box? We’d still love to hear from you.


What we offer


• Competitive salary aligned with market benchmarks

• 40-hour week + 32 total days off

• Hybrid flexibility

• Strong learning culture, mentoring, and real career acceleration

• A supportive, people-first team where you can make real impact

* This role is also open to freelance consultants


If you want to lead AI projects that matter, innovate at scale, and grow your career in a dynamic, supportive environment—this is your next challenge. Apply now!

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