Machine Learning / AI Engineer Senior - Databricks - Eng
Senior AI/ML engineer at Mutt Data, a remote-first Argentina-based data/ML consultancy, acting as lead technical consultant on end-to-end client engagements — designing and productionizing ML, Generative AI, and agentic RAG pipelines with Python, Docker, Spark, MLOps/CI-CD, and Databricks lakehouse infrastructure.
- Compensation
- Not disclosed
- Location
- Argentina
- Work setup
- Remote
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 3+ years
- Category
- Ml / AI
- Posted
Skills
Must have
- 4+ years of hands-on professional experience developing, deploying, and managing Generative/Agentic AI or ML systems, with productionizing 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
- Expertise in MLOps lifecycle management: model versioning, testing, monitoring, automated deployment
- Demonstrable experience with infrastructure management: 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
- Hands-on production experience with multi-agent orchestration, agent evaluation, and RAG systems
- Proficiency with Docker, pipeline orchestrators, and lakehouse database systems such as Databricks
- Experience with distributed computing frameworks such as Apache Spark for scalable ML and high-performance data processing
Full description
🚀 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! 🐶🚀
🚀 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