Machine Learning / AI Engineer Lead - Databricks - Eng
Muttdata
- Location
- Remote (Argentina)
- Employment
- Full-time
- Level
- Mid Level
About the role
Mutt Data is a remote-first startup specializing in custom machine learning and AI systems for demand planning, forecasting, and e-commerce optimization. The Machine Learning / AI Engineer Lead role involves serving as a technical consultant to design, build, and maintain production-grade AI/ML pipelines and generative AI solutions for enterprise clients.
Skills
Perks
- Remote Work
- Certification coverage
- English lessons
- Birthday off
- Extra vacation
- Referral bonuses
- Benefits credits
- Annual team trip
- Childcare reimbursement
Full job details
🚀 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! 🐶🚀
\n- 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
- 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