Muttdata

#16 Machine Learning / AI Engineer Lead - Databricks - Eng

Muttdata  β€’  Argentine Republic (Remote)  β€’  2 days ago
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Job Description

πŸš€ Join Our Data Products and Machine Learning Development Remote Startup! πŸš€

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! πŸΆπŸš€

πŸš€ 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

  • πŸ“Š We are Data Nerds
  • πŸ€— We are Open Team Players
  • πŸš€ We Take Ownership
  • 🌟 We Have a Positive Mindset

Responsibilities πŸ€“

  • 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 πŸ’»

  • 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! πŸ–οΈ)
  • 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!
  • πŸ‘Ά Monthly Childcare Reimbursement – Because supporting families matters too
Muttdata

About Muttdata

We build scalable AI and data systems that drive long-term business growth, blending technical excellence with a sharp focus on client needs to deliver smarter business outcomes.

We have successfully completed over 200 AI projects, ranging from data platforms and architectures to building AI systems. Our notable customers include Mercado Libre, ClassDojo, Clip, MODO and many others. Additionally, we are AWS Advanced Consulting Partners and the only one in the SOLA region with the AWS Advertising and Marketing Technologies Competency. What’s more, we’re proud to have been recognized as Databricks’ LATAM AI Enterprise Partner of the Year (2025).

Our mission is to guide companies to an AI-fueled future.

We Transform Data into AI that Scales.

In short, we are #DataNerds.

Industry
IT & Software
Company Size
51-200 employees
Headquarters
Buenos Aires, AR
Year Founded
Unknown
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