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Machine Learning / AI Engineer Senior - Databricks - Eng

Role overview

Qualifications

  • 4+ years of hands-on professional experience developing, deploying, and managing Generative/Agentic AI or Machine Learning systems
  • 3+ years of experience in a customer-facing consulting or solutions architect role
  • Expertise in MLOps lifecycle management, including model versioning, testing, monitoring, and automated deployment best practices
  • Expertise in Python for data-intensive and scalable AI/ML applications

Responsibilities

  • Serve as a primary technical consultant, leading and executing end-to-end AI/ML project implementations directly with clients
  • Design, build, and maintain production-grade AI and ML pipelines, focusing on continuous integration and continuous delivery (CI/CD)
  • Implement and optimize cutting-edge Generative and Agentic AI applications
  • Manage underlying solution infrastructure necessary for production deployment

Key facts

  • Remote from: Latin America
  • Full time
  • Senior (5-10 years)
  • AI Engineer
  • English

Hard skills

Other skills

  • Consulting
  • Knowledge Transfer
  • Communication
  • Presentations

About the company

MUTT DATA logo

MUTT DATA

Artificial Intelligence & Machine Learning Services

Mutt Data is a technology company that helps startups and big companies build and implement Machine Learning solutions that drive real business results. Whether you work in finance, insurance, advertising, telcos, on-demand services or e-commerce, our solutions will help you get ahead of your competition with the latest technologies, techniques and best practices We Are Astronomer & Amazon Consulting Partners. We Are #DataNerds.

Company details

Company typeScaleup
IndustryArtificial Intelligence & Machine Learning Services
Company size51 - 200

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Job description

πŸš€ Join Our Data Products and Machine Learning Development Remote Startup! πŸš€   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! πŸΆπŸš€
πŸš€ 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
  • πŸ“Š We are Data Nerds
  • πŸ€— We are Open Team Players
  • πŸš€ We Take Ownership
  • 🌟 We Have a Positive Mindset
  •   πŸ” 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! πŸš€
    Responsibilities πŸ€“
  • 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 πŸ’»
  • 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! πŸ–οΈ)
  • 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!
  • πŸ‘Ά Monthly Childcare Reimbursement  – Because supporting families matters too
  • Apply once. Then go straight to the hiring manager.

    After you apply, unlock the direct contact details of the people who actually make the call. A quick follow-up makes you 5x more likely to land an interview.

    MR

    Marcus Rivera

    Chief Revenue Officer

    m.rivera@company.com
    linkedin.com/in/marcusrivera
    Unlocked after you apply
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