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Machine Learning Engineer Specialist– Recommendation Systems

Posted 18 hours ago

Job Description

🚀 Join Our Data Products and Machine Learning Development Remote Startup! 🚀
 
Muttdata is a dynamic startup committed to crafting innovative systems using cutting-edge Big Data and Machine Learning technologies.
 
We’re looking for a Machine Learning Engineer Specialist to help take our expertise to the next level. If you consider yourself a data nerd like us, we’d love to connect! 🐶🚀

🚀 What We Do

  • Leveraging our expertise, we build modern Machine Learning systems for demand planning and budget forecasting.
  • Developing scalable data infrastructures, we enhance high-level decision-making, tailored to each client.
  • Offering comprehensive Data Engineering and custom AI solutions, we optimize cloud-based systems.
  • Using Generative AI, we help e-commerce platforms and retailers create higher-quality ads, faster.
  • Building deep learning models, we enhance visual recognition and automation for various industries, improving product categorization, quality control, and information retrieval.
  • Developing recommendation models, we personalize user experiences in e-commerce, streaming, and digital platforms, driving engagement and conversions.
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    🌟 Our Partnerships

  • Amazon Web Services
  • Astronomer
  • Databricks
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    🌟 Our Values

  • 📊 We are Data Nerds
  • 🤗 We are Open Team Players
  • 🚀 We Take Ownership
  • 🌟 We Have a Positive Mindset
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    🔍 Curious about what we’re up to? Check out our case studies and dive into our blog post to learn more about our culture and the exciting projects we’re working on! 🚀
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    Responsibilities 🤓

  • Design, build, and maintain production recommendation systems at consumer scale.
  • Develop ranking and retrieval models to improve personalization and user experience.
  • Own ML pipelines end-to-end, from feature engineering and training to deployment and monitoring.
  • Collaborate with client stakeholders and engineering teams to deliver scalable ML solutions.
  • Analyze large-scale user behavior data and run A/B tests to optimize recommendation performance. 
  • Improve reliability, scalability, and latency of production ML systems on AWS/GCP/Azure. 
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    Required Skills

  • 6 years of experience in Software/Data Engineering or ML roles.
  • 4+ years building and operating ML systems in production.
  • 2-3+ years working on recommendation systems, ranking, retrieval, or personalization.
  • Strong Python and SQL skills. Experience with PyTorch or TensorFlow.
  • Experience deploying ML systems on AWS, GCP, or Azure.
  • Experience working with large-scale consumer data and production environments.
  • Advanced English level and ability to work autonomously with stakeholders.
  • Experience in e-commerce, adtech, martech, or consumer products.
  • Experience with A/B testing, feature stores, Spark, or low-latency inference systems. 
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    🎁 Perks

  • Remote-first culture – work from anywhere! 🌍
  • AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered
  • In-Company English Lessons.
  • Birthday off + an extra vacation week (Mutt Week! 🏖️)
  • Referral bonuses – help us grow the team & get rewarded!
  • Maslow: Monthly credits to spend in our benefits marketplace.
  • ✈️🏝️ Annual Mutters' Trip – an unforgettable getaway with the team!
    • Apply for this position

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    About the job
    Posted on

    May 20, 2026

    Apply before

    Jun 19, 2026

    Job typeFull-time
    Location
    RemoteAR

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