Mutt Data
Machine Learning Engineer Lead
Remote in set countriesArgentina onlyOther
Posted 2 Nov 2023Confirmed open 1h ago
Who can apply
Argentina only
Salary
Not disclosed
Level
Lead / Staff
Other
Timezone
Not stated
About the role
๐ Join Our Data Products and Machine Learning Development Remote Startup! ๐
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Muttdata is a dynamic startup committed to crafting innovative systems using cutting-edge Big Data and Machine Learning technologies.
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Weโre 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, weโd love to connect! ๐ถ๐
๐ 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.
๐ Our Partnerships
- Amazon Web Services
- Astronomer
- Databricks
๐ Our Values
- ๐ We are Data Nerds
- ๐ค We are Open Team Players
- ๐ We Take Ownership
- ๐ We Have a Positive Mindset ย ๐ Curious about what weโre up to? Check out our case studies and dive into our blog post to learn more about our culture and the exciting projects weโre working on! ๐
Responsibilities ๐ค
- 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 modelsโfrom 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 ๐ป
- 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 โจ
- 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.
๐ Perks
- Remote-first culture โ work from anywhere! ๐
- AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered
- In-Company English Lessons.
- Birthday off + an extra vacation week (Mutt Week! ๐๏ธ)
- Referral bonuses โ help us grow the team & get rewarded!
- Maslow: Monthly credits to spend in our benefits marketplace.
- โ๏ธ๐๏ธ Annual Mutters' Trip โ an unforgettable getaway with the team!
- ๐ถ Monthly Childcare Reimbursementย โ Because supporting families matters too
Skills mentioned
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About Mutt Data
Listing details & historyShowHide
- Employer posted
- 2 Nov 2023
- Last confirmed open
- 1h ago
- Source
- Employer careers site
- Degree
- Not mentioned
- Visa
- Not stated
- Timezone
- Not stated
- Languages
- Not stated
- Location evidence
- โ๐ Perks Remote-first culture โ work from anywhere!โ
Details are read from the listing text. They are not a guarantee of work authorization; confirm with the employer.