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Senior Software Engineer (AI/ML)

Role overview

Qualifications

  • 5+ years of experience in machine learning or AI engineering with hands-on production deployment.
  • Expert-level Python developer (5+ years) with knowledge of TensorFlow, PyTorch, Scikit-learn, or Hugging Face Transformers.
  • Experience with scalable ML infrastructure and backend engineering (API design, cloud integrations, ML workflow support).
  • Familiarity with data engineering tools such as AWS Glue, Athena, or Spark.

Responsibilities

  • Lead end-to-end ML lifecycle from data collection and labeling strategy to continuous model improvement.
  • Design, train, and deploy ML models in large-scale production environments.
  • Work on innovative solutions in Computer Vision, NLP, and representation learning applied to accessibility.
  • Collaborate with product, design, and accessibility teams to deliver impactful AI solutions.

About the company

AIDA Recruitment logo

AIDA Recruitment

AIDA Recruitment - technology and artificial intelligence-based employee search for your company! Using modern digital technologies, we select targeted candidates and provide you with a top list.

Company details

Company size2 - 10

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Job description

For our client, we are looking for a Senior AI Engineer to drive the next generation of intelligent, accessible technology.

About the Role

In this role, you will lead the design, deployment, and scaling of advanced AI and machine learning systems that power automated accessibility testing, intelligent analysis, and new product capabilities aimed at promoting digital equality.

You will act as a senior technical leader architecting robust, ethical, and production-ready solutions while mentoring peers and setting engineering best practices for ML deployment at scale.

The Ideal Candidate

  • 5+ years of proven experience in machine learning or AI engineering, with hands-on expertise deploying models in production environments.
  • Expert-level Python developer (5+ years) with strong knowledge of TensorFlow, PyTorch, Scikit-learn, or Hugging Face Transformers.
  • Experience with scalable ML infrastructure and backend engineering (API design, cloud integrations, ML workflow support).
  • Familiarity with data engineering tools such as AWS Glue, Athena, or Spark.
  • Deep understanding of model lifecycle management from training and evaluation to deployment and monitoring.
  • Working knowledge of web technologies (HTML, CSS, JavaScript) and a passion for digital accessibility.
  • Excellent communication and collaboration skills.

Bonus skills:

  • Experience in Computer Vision or NLP
  • Hands-on with Docker & AWS
  • Knowledge of accessibility standards and practices

What You Will Do

  • Lead end-to-end ML lifecycle from data collection and labeling strategy to continuous model improvement.
  • Design, train, and deploy ML models in large-scale production environments.
  • Work on innovative solutions in Computer Vision, NLP, and representation learning applied to accessibility.
  • Collaborate with product, design, and accessibility teams to deliver impactful AI solutions.
  • Maintain clean, scalable, and maintainable codebases following engineering best practices.
  • Champion ethical and responsible AI with a focus on transparency, fairness, and accessibility impact.

What the Company Offers

  • Long-term project with a mission-driven team focused on digital equality.
  • Opportunity to work with cutting-edge AI technologies and shape product direction.
  • Remote work setup with flexible hours.
  • B2B contract with competitive compensation.

If you are passionate about AI, accessibility, and creating technology that makes a difference we'd love to see your CV!

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Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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