机器学习/人工智能工程师主管 - Databricks - 工程

🚀 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 case studies and dive into our blog post 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: 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