jobapplier

#16 Machine Learning / AI Engineer Senior - Databricks - Eng

Muttdata

Skills

Required

  • AI/ML
  • Generative/Agentic AI / Machine Learning systems
  • Docker
  • MLOps lifecycle management
  • model versioning
  • monitoring
  • infrastructure management
  • containerization
  • data pipeline orchestration
  • Python
  • AI/ML applications
  • continuous learning
  • automated deployment best practices

Preferred

  • Machine Learning
  • Databricks
  • end-to-end AI/ML
  • MLOps / AIOps
  • Retrieval
  • ML pipelines
  • continuous integration
  • Apache
  • Spark
  • 🚀 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.
  • 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! 🐶🚀

About Muttdata

  • 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

Databricks

  • 📊 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.

Requirements

  • 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

  • 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

Astronomer