Mutt Data

Machine Learning / AI Engineer Senior - Databricks - Eng

Mutt Data · Argentina
Argentina Remote Posted 2026-10-14
Type
Full-time
Experience
4+ yr

🚀 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 Senior  to help take our expertise to the next level. If you consider yourself a data nerd like us, we’d love to connect! 🐶🚀

  • 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.
  • Amazon Web Services
  • Astronomer
  • Databricks
  • 📊 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! 🚀

  • 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.

  • 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.
  • 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
DatabricksDockerSparkPythonAWSAzure
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