远程工作雷达

机器学习工程师负责人

Machine Learning Engineer Lead

AI开发工程职能支持限定地区(需当地身份)
公司muttdata
薪资未公开
工作地点Argentina
地域资格限定地区(需当地身份)
时区要求无特别要求
用工类型Remote - Latam
发布时间未知
数据来源Lever
前往企业招聘页投递 →
注意地域限制:该职位明确限定在 Argentina 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。

🚀 加入我们的数据产品和机器学习开发远程初创公司!🚀

Muttdata 是一家致力于使用前沿大数据和机器学习技术打造创新系统的动态初创公司。

我们正在寻找一位机器学习工程师负责人,帮助我们将专业知识提升到新的高度。如果您也像我们一样是数据爱好者,我们很期待与您联系!🐶🚀

🚀 我们所做的

  • 利用我们的专长,为需求预测和预算预测构建现代机器学习系统。
  • 开发可扩展的数据基础设施,根据每位客户的需求优化高层决策。
  • 提供全面的数据工程和定制AI解决方案,优化基于云的系统。
  • 使用生成式AI,帮助电商平台和零售商更快地创建高质量广告。
  • 构建深度学习模型,增强各行业的视觉识别和自动化能力,提高产品分类、质量控制和信息检索效果。
  • 开发推荐模型,在电商、流媒体和数字平台上个性化用户体验,提升参与度和转化率。

🌟 我们的合作伙伴

  • 亚马逊网络服务
  • Astronomer
  • Databricks

🌟 我们的价值观

  • 📊 我们是数据爱好者
  • 🤗 我们是开放协作的团队成员
  • 🚀 我们有主人翁精神
  • 🌟 我们保持积极心态

🔍 想了解我们在做什么吗?查看我们的案例研究,并深入阅读我们的博客文章,了解更多关于我们的文化以及我们正在开展的令人兴奋的项目!🚀

职责 🤓

  • 领导并指导团队,促进技能发展和最佳实践。
  • 指导制定规格文档并确保清晰的文档记录。
  • 作为利益相关者的主联系人,确保技术和业务目标一致。
  • 开发和优化数据和ML解决方案,整合可扩展性和监控的最佳实践。
  • 管理数据管道和模型的全生命周期——从探索性数据分析和特征工程到部署和持续改进。
  • 构建概念验证(POC)以验证和优化解决方案。
  • 优化数据系统中的性能、延迟、内存和吞吐量。
  • 设计和维护特征存储和数据管道以支持工作流程。
  • 研究并实施新兴技术以提升解决方案。
  • 参与候选人面试和评估,帮助 Mutt 不断成长。

所需技能 💻

  • 在数据项目中领导和指导团队的经验,指导技术人员
查看英文原文

🚀 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 Lead 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 🤓

  • 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 models—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 💻

  • 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! 🏖️)
  • 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!
  • 👶 Monthly Childcare Reimbursement  – Because supporting families matters too
本页面信息整理自 Lever,版权归原发布方所有。职位可能随时关闭,投递请以原始页面为准。 本站只做信息聚合展示,不参与招聘流程,也不向求职者收取任何费用。

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