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Machine Learning Engineer Lead

Open 60d
πŸš€ Join Our Data Products and Machine Learning Development Remote Startup! πŸš€
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 Lead to help take our expertise to the next level. If you consider yourself a data nerd like us, we’d love to connect! πŸΆπŸš€

πŸš€ 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

  • πŸ“Š We are Data Nerds
  • πŸ€— We are Open Team Players
  • πŸš€ We Take Ownership
  • 🌟 We Have a Positive Mindset
πŸ” 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! πŸš€

Responsibilities πŸ€“

  • Lead and mentor the team, fostering skill development and best practices.
  • Guide the creation of SPECs and ensure clear documentation.
  • Act as the main point of contact for stakeholders, ensuring alignment between technical and business goals.
  • Develop and optimize data and ML solutions, integrating best practices for scalability and monitoring.
  • Oversee the full lifecycle of data pipelines and modelsβ€”from EDA and feature engineering to deployment and continuous improvement.
  • Build Proof of Concepts (POCs) to validate and refine solutions.
  • Optimize performance, latency, memory, and throughput across data systems.
  • Design and maintain feature stores and data pipelines to support workflows.
  • Research and implement emerging technologies to enhance solutions.
  • Participate in candidate interviews and evaluations to help Mutt grow.

Required Skills πŸ’»

  • Experience leading and mentoring teams in Data projects, guiding technical decisions, and fostering team growth.
  • Proven ability to collaborate with stakeholders, translate business needs into technical solutions, and align priorities across teams.
  • 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 ✨

  • Experience with ML workflows (Airflow, MLflow, H2OAI, Databricks).
  • Background in AdTech or Generative AI projects.
  • Understanding of Deep Learning frameworks (Keras, PyTorch, TensorFlow).
  • Solid command of English for understanding and communicating technical concepts (Design Documents, etc.).
  • Basic knowledge of Docker.

🎁 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! πŸ–οΈ)
  • 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!
  • πŸ‘Ά Monthly Childcare Reimbursement – Because supporting families matters too

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 Β· optional
  • Describe about your relevant experience in the role written answer Β· optional
  • Do you have work experience with any of these tools? yes / no Β· 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 Β· optional
  • Do you have experience leading teams? If so, how many people? written answer Β· optional
  • Study/Degree written answer Β· optional
  • Do you have any of these certifications (Databricks, Azure, AWS, Astronomer, GCP)? If so, are they still active? written answer Β· optional
  • English Level choose one
  • Gross salary expectations (or USD net)
  • Seniority choose one Β· optional
  • Working mode choose one
  • Did you build AI agents from scratch (not just using no-code tools)? written answer Β· optional
  • Can you briefly describe an agent or multi-agent system you have developed and your role? written answer Β· optional
  • Do you have experience orchestrating multiple agents or workflows between agents? written answer Β· optional
  • Do you know MCP or any similar approach to connect agents, context and tools? written answer Β· 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 Β· optional

See also

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