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Senior AI Engineer

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Remote

Senior AI Engineer

Signify Technology

Senior AI Engineer

Skills

Google Cloud PlatformSQL QueriesBig DataDeep LearningTableauPythonMicroservicesPyTorchTensorFlowMachine LearningAIAWSHadoopPower BIAzure

2 months ago

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Important information


Contract type:

Freelance / Contract

Location:

Sofia, Bulgaria

Work mode:

Remote

Published on:

20 August 2026

What they need


Job title: Senior AI Engineer

Job type: Contract

Contract Length: 12 Months

Rate: 200 Euros per day

Role Location: Europe Fully Remote

Role And Responsibilities

  • Design and implement cutting-edge AI-driven solutions, leveraging the full spectrum of approaches from traditional machine learning to large language models (LLMs)
  • Collaborate closely with data scientists, ML engineers, and software developers to ensure the successful deployment of AI models and applications
  • Stay up to date on emerging AI technologies and industry best practices to provide clients with innovative, forward-thinking recommendations
  • Provide technical guidance on AI model lifecycle management, including training, tuning, monitoring, and optimization
  • Ensure AI solutions are scalable, secure, and compliant with industry regulations and best practices
  • Act as a trusted advisor to clients, helping them navigate AI adoption challenges and maximize the impact of AI within their operations
  • Develop technical documentation, including solution architectures, whitepapers, and best practice guides

Job Requirements

  • Extensive experience in AI/ML, deep learning, and cloud-based AI services (AWS, Azure, or Google Cloud)
  • Proficiency in AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, LangChain, and Hugging Face
  • Strong programming skills in Python or a similar language
  • Excellent proficiency with traditional SQL and big data technologies such as Apache Spark, Hadoop, and distributed computing frameworks
  • Ability to analyze large datasets and derive business insights using BI tools such as Tableau, Power BI, or similar
  • Experience with MLOps practices, including model deployment, monitoring, and CI/CD for AI workflows
  • Hands-on experience with APIs, microservices, and AI-driven automation solutions.

Accessibility Statement We make an active choice to be inclusive towards everyone every day. Please let us know if you require any accessibility adjustments through the application or interview process.

Our Commitment To Diversity, Equity, And Inclusion Signify’s mission is to empower every person, regardless of their background or circumstances, with an equitable chance to achieve the careers they deserve. Building a diverse future, one placement at a time.

Check out our DE&I page here

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