🚀 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! 🐶🚀
🚀 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
Summary
Lead end-to-end AI/ML implementations for clients, designing production-grade pipelines and Generative and Agentic AI systems including RAG on Databricks, Docker, and Spark. Requires 4+ years building production ML systems and 3+ years in customer-facing consulting with Python and MLOps expertise.
Responsibilities
Lead end-to-end AI/ML implementations with clients; Communicate findings and status to technical and non-technical audiences; Design, build and maintain production AI/ML pipelines with CI/CD and MLOps; Implement Generative and Agentic AI apps including RAG; Architect ML systems; Manage deployment infrastructure
Qualifications
Expertise in MLOps lifecycle management including versioning, testing, monitoring, automated deployment; Experience with infrastructure management including containerization and pipeline orchestration; Expertise in Python; Commitment to continuous learning
Experience requirements
4+ years hands-on developing, deploying and managing Generative/Agentic AI or Machine Learning systems with productionizing models in live environment; 3+ years customer-facing consulting or solutions architect role focused on technical implementation and delivery
Benefits
Birthday off + an extra vacation week (Mutt Week); AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered; In-company English lessons; Monthly childcare reimbursement; Monthly credits in benefits marketplace; Annual team trip