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

Mutt Data

United States

Remote

USD 150,000 - 230,000

Full time

14 days+

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Benefits offered by this job

Remote-first culture
In-Company English Lessons
Birthday off + extra vacation week
Referral bonuses
Maslow benefits credits
Annual Mutters' Trip
Monthly childcare reimbursement
Certification coverage

Job summary

Mutt Data is a dynamic startup delivering cutting-edge Big Data and AI/ML solutions. We seek a senior Data Engineer to design and deploy production-grade AI/ML pipelines, collaborate directly with clients, and drive end-to-end implementations in a remote-first environment.

You will architect Generative and Agentic AI systems, manage cloud-based data infrastructure, and contribute to scalable MLOps practices while communicating complex results to varied stakeholders.

Qualifications

  • Senior-level data engineering expertise with focus on Generative/Agentic AI pipelines.
  • Experience delivering production ML/AI solutions with CI/CD and MLOps practices.
  • Strong client-facing consulting or solutions architecture background.

Responsibilities

  • Serve as primary technical consultant, leading end-to-end AI/ML project implementations with clients.
  • Communicate complex findings clearly to both technical and non-technical audiences.
  • Design, build, and maintain production-grade AI/ML pipelines with CI/CD and MLOps.
  • Implement Generative AI and Agentic AI apps, including multi-agent orchestration and RAG systems.
  • Architect end-to-end AI/ML systems aligned to customer needs, leveraging cloud and data lakehouse tech.
  • Manage production deployment infrastructure with Docker and orchestration tools.

Skills

Python
MLOps
CI/CD
Distributed computing
Generative AI
Agentic AI
RAG
Cloud platforms

Tools

Docker
Databricks
Apache Spark
DBT
AWS
GCP
Azure

Job 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 Data 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!

  • 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

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!

  • 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
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