Machine Learning / AI Engineer Lead - Databricks - Eng

MuttdataArgentinaRemoteFull-timeSenior, 5–8 yearsListed 22 hours ago

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About this role

πŸš€ Join Our Data Products and Machine Learning Development Remote Startup! πŸš€
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Mutt Data is a dynamic startup committed to crafting innovative systems using cutting-edge Big Data and Machine Learning technologies.
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We’re looking for a Data 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! 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

πŸ” Curious about what we’re up to? Check out our (https://blog.muttdata.ai/tag/Case%20Studies/1) case studies and dive into ourblog post (https://blog.muttdata.ai/) to learn more about our culture and the exciting projects we’re working on! πŸš€

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 (https://maslow.hr/): Monthly credits to spend in our benefits marketplace.

- ✈️ 🏝️Annual Mutters' Trip (https://www.youtube.com/watch?v=dq1x2krHGb8&t=2s) – an unforgettable getaway with the team!

- πŸ‘Ά Monthly Childcare Reimbursement – Because supporting families matters too