[Hiring] Machine Learning / AI Engineer Lead @Muttdata

Role Description

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.

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.

Qualifications

• 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.

Benefits

• 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!
• 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.