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Machine Learning Engineer Senior

Open 60d
🚀 Join Our Data Products and Machine Learning Development Remote Startup! 🚀
Mutt Data 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 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 🤓

  • Develop and optimize ML models, ensuring scalability, monitoring, and integration with MLOps best practices.
  • Implement client requirements, from exploratory data analysis (EDA) to feature engineering and model lifecycle management.
  • Build ML Proof of Concepts (POCs) to validate and refine solutions.
  • Optimize models for performance, latency, memory, and throughput.
  • Apply statistical analysis techniques and develop regression models.
  • Design and maintain feature stores and data pipelines for ML workflows.
  • Research and implement emerging ML/AI techniques to enhance solutions.
  • Collaborate with stakeholders to align technical solutions with business needs.

Required Skills

  • Experience implementing ML-based systems, including model lifecycle management, monitoring, and MLOps pipeline setup.
  • Strong proficiency in Python (Pandas, Numpy, Jupyter, Scikit-Learn, XGBoost, Plotly).Knowledge of SQL
  • Experience with cloud platforms (AWS, GCP, Azure).

Nice to Have Skills 😉

  • Experience with ML workflows (Airflow, MLflow, H2OAI, Databricks, or similar).
  • Background in modern LLM technologies.
  • Understanding of Deep Learning frameworks (Keras, PyTorch, TensorFlow).Basic knowledge of Docker.

🎁 Perks

  • 🌍 Remote-first culture – work from anywhere!
  • 🚀 In-Company English Lessons.
  • 💪 Wellhub or sports club stipend to stay active
  • 🚀 AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered
  • 🍕 Food credits via Pedidos Ya – because great work deserves great food.
  • 🎂 Birthday off + an extra vacation week (Mutt Week! 🏖️)
  • 🤝 Referral bonuses – help us grow the team & get rewarded!
  • ✈️🏝️ Annual Mutters' Trip – an unforgettable getaway with the team!
  • 👶 Monthly Childcare Reimbursement – Because supporting families matters too
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What this application asks

lever

Resume/CV, Full name, Email, Phone, Current location, Current company, LinkedIn URL, GitHub URL, Other URL

  • Do you currently reside in Latin America? (This is a mandatory requirement for this role. If you do not currently reside in Latin America, your application will not be considered.) choose one
  • Where did you hear about us? choose one · optional
  • Describe about your relevant experience in the role written answer · optional
  • Do you have work experience with any of these tools? yes / no · optional
  • Have you ever worked with Airflow or any other workflow orchestration tool? written answer
  • What is your level of experience in developing data architecture solutions? Have you primarily used Python or any other language? written answer
  • What is your level of experience in designing and implementing cloud solutions? Did your cloud solutions involve developing new components or were they based on utilizing products from AWS/GCP/Azure/DBT? written answer · optional
  • Do you have experience leading teams? If so, how many people? written answer · optional
  • Study/Degree written answer · optional
  • Do you have any of these certifications (Databricks, Azure, AWS, Astronomer, GCP)? If so, are they still active? written answer · optional
  • English Level choose one
  • Gross salary expectations (or USD net)
  • Seniority choose one · optional
  • Working mode choose one
  • Did you build AI agents from scratch (not just using no-code tools)? written answer · optional
  • Can you briefly describe an agent or multi-agent system you have developed and your role? written answer · optional
  • Do you have experience orchestrating multiple agents or workflows between agents? written answer · optional
  • Do you know MCP or any similar approach to connect agents, context and tools? written answer · optional
  • Did you know Muttdata before applying? Below, we are sharing a link with additional information about the company : https://linktr.ee/MuttDataJobs written answer · optional

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