🚀 We’re Mutt Data, a remote-first startup crafting cutting-edge Data Products and Machine Learning solutions for clients across the globe. 🚀 We work on a range of exciting projects from real-time advertising systems to modern data stacks, always focused on solving real-world challenges. We build systems that power the future of business and help clients reach their full potential through the power of data. 💡 What kind of challenges will you tackle with us? At Mutt Data, we’re solving complex, real-world problems across industries. From startups to global corporations, these are some of the key areas we focus on: 🔧 Building Modern Data Stacks📈 Real-Time Advertising Auction Systems☁️ Scalable Cloud Architectures🤖 Applied Machine Learning for Business Solutions🛍️ Promotions & Pricing Optimization👉 Curious to see how we do it? Check out our case studies! Now, we’re looking for a Machine Learning Engineer Lead to help us build and scale impactful solutions. If you’re passionate about building systems, solving complex problems, and growing your expertise, let’s connect! 🐶 Responsibilities 🤓 ➤ Project Management: Effectively manage projects by engaging with customers to understand the scope of work.➤ Team Leadership: Lead teams, collaborating with Machine Learning and data engineers.➤ Lead ML Model Productization: Champion the productization of ML models following MLops best practices, including orchestration, testing, monitoring, and serving, to benefit our clients.➤ ML POC Development: Collaborate with Machine Learning Engineers to develop meaningful ML Proof of Concepts (POCs) for internal and client requirements.➤ ML Model Lifecycle Management: Oversee the lifecycle of Machine Learning models, optimizing them when necessary to enhance performance, latency, memory, and throughput.➤ Business-Technical Translation: Translate business and mathematical/statistical requirements into software implementations, making informed trade-offs between time, quality, and client-specific needs.➤ Research and Innovation: Explore emerging ML Engineering technologies (Data Science, Data Engineering, DevOps) and techniques to enhance our toolset, best practices, and overall business value.➤ Project Strategy: Participate in defining project roadmaps, timelines, and estimates for new initiatives.➤ Knowledge Sharing: Document and disseminate industry-leading practices in AI/ML within the organization.➤ Technical Interviews: Collaborate on hiring interview processes (exam reviews and technical interviews) Required Skills 💻 ✓ Team Leadership and Client Interactions: Demonstrated leadership skills and experience in client interactions.✓ Proven Expertise: Demonstrated work experience in roles such as Machine Learning Engineer, ML Architect or similar.✓ AI/ML Proficiency: In-depth understanding of AI/ML principles, encompassing neural networks, supervised and unsupervised ML models, time series forecasting, and more.✓ Data Architecture Knowledge: Familiarity with Modern Data Architectures, including the implementation of Data Warehouses and Data Lakes, as well as DevOps tool/stack and methodologies (CI/CD, Kubernetes, Docker, gitops, etc.).✓ ETL and ML Workflow Experience: Previous involvement with data processing ETL and ML workflows, e.g., Airflow, MLflow, DBT.✓ Deep Learning Competence: Understanding of Deep Learning frameworks and technologies such as Keras, PyTorch, Tensorflow.✓ Programming Skills: Strong grasp of Python programming language and proficiency in at least one other strongly typed language.✓ Knowledge of mathematical modeling and proficient statistical intuition.✓ MLOps Mastery: Experience in implementing Machine Learning-based systems, including ML model lifecycle management, monitoring, and setting up MLOps pipelines from scratch.✓ Strategic Thinking: Ability to develop implementation plans by weighing the pros and cons of different alternatives.✓ English Intermediate Level.✓ Spanish Advanced Level. Nice to have skills 😉 ✓ Experience with the Modern Data Stack.✓ Cloud-Based AI Services: Hands-on experience with cloud-based AI services like AWS Sagemaker, AWS Textract, GCP Vertex AI, or similar.✓ Software Development Expertise: Profound knowledge of software development methodologies.✓ Problem-solving attitude: A positive problem-solving attitude.✓ Consultancy Experience: Previous experience in client-facing tech consultancy roles.✓ Proven Track Record: A track record of delivering high-quality solutions.✓ Cloud Certifications: Certification in cloud platforms, such as AWS Machine Learning.✓ Python Data Libraries: Familiarity with Python Data libraries like SQLAlchemy, Pandas, Polars, PySpark, Great Expectations, etc. 🏆 Why Join Us? At Mutt Data, we offer a remote-first culture with flexibility, autonomy, and awesome benefits: 🏡 Remote-First Culture 📚 Paid AWS & Databricks Certifications.🎂 Birthday off + extra vacation week (Mutt Week!).💳 Maslow benefits: Monthly credits to spend in our benefits marketplace.👥 Referral bonuses to grow our team.✈️ Annual Mutters' Trip – Join us for an unforgettable team trip! Even if you don’t meet every requirement, we’d love to hear from you! Let us know why you think Mutt Data is the next step in your journey. Apply now and join a team that’s shaping the future of Machine Learning and Data Engineering. 🤖
