Muttdata
Technology
MachineLearningEngineerSpecialist
Neural analysis suggests this role is
optimal for Senior candidates.
“Machine Learning Engineer Specialist at Muttdata. Skills: Machine Learning, Recommendation Systems, MLOps. Design recommendation systems. Build recommendation systems”
What You'll Achieve.
Improve personalization; Improve user experience; Optimize recommendation performance; Improve system reliability; Improve system scalability; Improve system latency
Industry & Context.
Data-driven decision making
Work autonomously
What They're Looking For.
Must Have
6 years of experience, 4+ years building ML systems, 2-3+ years recommendation systems, Python skills, SQL skills, Deploy ML systems on AWS/GCP/Azure, Experience with large-scale consumer data, Advanced English level
Nice to Have
PhD preferred, PyTorch or TensorFlow experience, AWS, GCP, or Azure experience, E-commerce experience, Adtech experience, Martech experience, Consumer products experience, A/B testing experience, Feature stores experience, Spark experience, Low-latency inference systems experience
What You'll Do.
Design recommendation systems
Build recommendation systems
Maintain recommendation systems
Develop ranking models
Develop retrieval models
Improve personalization
Improve user experience
Collaborate with stakeholders
Collaborate with engineering teams
Analyze user behavior data
Optimize recommendation performance
Improve system reliability
Improve system scalability
Improve system latency
How You'll Work.
Team & Collaboration
Client stakeholders; Engineering teams
Communication Scope
Advanced English
Full Job Description
## 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. ## 🌟 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. Improv
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