Machine Learning Engineer Specialist – RecSys

🚀 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.

🌟 Our Partnerships

• Amazon Web Services


• Astronomer


• Databricks

🌟 Our Values

• 📊 We are Data Nerds


• 🤗 We are Open Team Players


• 🚀 We Take Ownership


• 🌟 We Have a Positive Mindset

🔍 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! 🚀

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.

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.

🎁 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!

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