Machine Learning / AI Engineer Lead - Databricks - Eng (Argentina)

Machine Learning / AI Engineer Lead - Databricks - Eng (Argentina)

15 oct
|
Muttdata
|
Argentina

15 oct

Muttdata

Argentina

? 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! ??

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? 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

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📌 Machine Learning / AI Engineer Lead - Databricks - Eng (Argentina)
🏢 Muttdata
📍 Argentina

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