Machine Learning / AI Engineer Lead - Databricks - Eng

🚀 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

Employment type

Remote - Latam