Machine Learning / AI Engineer Lead - Databricks - Eng

Job description

**🚀 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 / AI 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](https://blog.muttdata.ai/tag/Case%20Studies/1) case studies and dive into our [blog post](https://blog.muttdata.ai/) to learn more about our culture and the exciting projects we’re working on! 🚀 ### Responsibilities 🤓 - Serve as a primary technical consultant, leading and executing end-to-end AI/ML project implementations directly with clients, translating complex business problems into robust technical solutions. - Exhibit excellent communication, presentation, and stakeholder management skills to clearly articulate technical findings, proposals, and project status to both technical and non-technical audiences. - Design, build, and maintain production-grade AI and ML pipelines, focusing on continuous integration, continuous delivery (CI/CD), and advanced MLOps/AIOps practices to ensure reliability and scalability of models. - Implement and optimize cutting-edge Generative and Agentic AI applications, demonstrating hands-on experience with technologies like multi-agent orchestration, agent evaluation, and Retrieval Augmented Generation(RAG) Systems in a production setting. - Architect end-to-end AI/ML systems, designing both traditional Machine Learning- and Generative AI-based solutions based on customer requirements - Manage underlying solution infrastructure necessary for production deployment, demonstrating proficiency in technologies such as Docker, pipeline orchestrators, and lakehouse database systems like Databricks. - Leverage expertise in distributed computing frameworks, specifically in scalable machine learning and high- performance data processing (e.g., using technologies like Apache Spark). - Contribute to the strategic growth of the AI FDE Practice, including participation in technical assignments and knowledge transfer activities. - Ensure all client engagements and training activities are properly documented and reported via designated partner platforms. ### Required Skills 💻 - 4+ years of hands-on professional experience developing, deploying, and managing Generative/Agentic AI or Machine Learning systems, with a mandatory requirement for productionizing and maintaining models in a live environment. - 3+ years of experience in a customer-facing consulting or solutions architect role, focused on technical implementation and delivery. - Excellent verbal and written communication skills for effective client and internal team interaction. - Expertise in MLOps lifecycle management, including model versioning, testing, monitoring, and automated deployment best practices. - Demonstrable experience with infrastructure management, encompassing containerization (Docker) and data pipeline orchestration. - Expertise in Python for data-intensive and scalable AI/ML applications. - Demonstrated commitment to continuous learning in emerging AI/ML fields. ### 🎁 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](https://maslow.hr/):** Monthly credits to spend in our benefits marketplace. - ✈️**🏝️ [Annual Mutters' Trip](https://www.youtube.com/watch?v=dq1x2krHGb8&t=2s)** – an unforgettable getaway with the team! - **👶 Monthly Childcare Reimbursement** – Because supporting families matters too