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Machine Learning Engineer
Machine Learning EngineerInteractiveAI • Madrid, Madrid, Spain
Machine Learning Engineer

Machine Learning Engineer

InteractiveAI • Madrid, Madrid, Spain
Hace más de 30 días
Descripción del trabajo

What Youll Do

As a Machine Learning Engineer at InteractiveAI youll design train and productionize models that power our agentic platform. Embedded in a cross-functional squad youll build resilient data and model pipelines evaluate model quality with rigorous offline / online methods and ship performant inference services at scale. Youll collaborate closely with product and delivery to turn business problems into measurable ML solutions.

  • Build and maintain scalable pipelines for structured / unstructured data ingestion transformation and feature engineering
  • Train evaluate and iterate on ML models (including LLM fine-tuning where relevant) with strong experiment tracking and reproducibility
  • Deploy ML models and LLMs into production ensuring performance reliability observability and traceability
  • Implement automated evaluation (A / B tests LLM-as-judge validation suites) and dashboards to monitor latency accuracy drift and trigger retraining or alerts
  • Apply feature engineering imputation and transformation techniques in practical production scenarios
  • Contribute to retrieval-augmented generation (RAG) workflows and measure retrieval and generation quality
  • Integrate enterprise-grade agentic workflows and perform systematic evaluation of LLM outputs
  • Optimize inference speed and memory usage in high-throughput systems; profile and reduce cost without sacrificing quality
  • Monitor and improve model performance in production (latency accuracy drift data quality) with feedback loops
  • Work alongside product and delivery leads to ensure client-ready measurable outcomes

What Were Looking For

Were looking for someone with strong foundations proven delivery and the ability to build production-ready ML systems. Heres what success looks like for this role :

1 / Minimum Requirements :

  • 3 years in data engineering ML engineering or applied AI roles
  • Experience deploying models to production and optimizing inference performance
  • Hands-on experience with at least one agent orchestration tool (e.g. LangGraph LlamaIndex)
  • Experience training deep-learning models and fine-tuning LLMs
  • Fluent in Python for data and ML development and hands-on experience with at least one deep learning framework (PyTorch TensorFlow etc.)
  • Experience building data pipelines (batch or streaming) using tools like Airflow Spark
  • Solid grasp of ML concepts (biasvariance tradeoff supervised vs. unsupervised learning precisionrecall tradeoffs)
  • Comfortable working with cloud platforms (AWS GCP or Azure)
  • Strong communication skills and experience working in cross-functional teams
  • 2 / Additional Requirements :

  • Experience with LLMs and RAG pipelines in production
  • Familiarity with vector databases embeddings and document retrieval strategies
  • Exposure to MLOps practices : monitoring reproducibility CI / CD for ML
  • Experience optimizing inference latency and cost at scale
  • Experience working in regulated or enterprise environments (e.g. banking insurance)
  • What Youll Get

  • Competitive base salary (from 60000 / yr to 120000 / yr) performance bonuses
  • Future equity opportunity for high performers
  • Private health insurance
  • Flexible work setup travel when needed (ideally Hybrid in Lisbon or Madrid)
  • 25 days of holidays / paid time off (excluding local public holidays)
  • Who You Are

  • Proactive & Resourceful : You take initiative to identify gaps and drive solutions without waiting for instructions.
  • Accountable & High-Ownership : You treat our codebase and infrastructure as your own and you honor commitments.
  • Entrepreneurial Mindset : You thrive in ambiguity embrace rapid change and deliver in a high-paced startup setting.
  • Team Player : You collaborate effectively across disciplines give and receive feedback constructively and mentor others.
  • Interview Process

    We keep our process focused and respectful of your time. Most candidates complete it in 23 weeks. Heres what to expect :

  • Intro Call 30 minutes with our team to align on fit and expectations
  • Take-Home Challenge A practical task based on real-world problems
  • Technical Interview Deep dive into the challenge technical experience and AI engineering
  • Cultural and Values Interview Discussion on motivation cultural and value alignment
  • Offer Final conversation and offer
  • Were building a team of builders people who care about impact quality and growth. If thats you lets talk

    About us

    InteractiveAI is a fast-growing startup on a mission to empower enterprises with fully managed AI agent lifecycles.

    We are building the next generation of enterprise-AI solutions delivering an end-to-end Agentic IDE alongside an extensible ecosystem of agentic resources and solutions.

    Our platform allows companies to orchestrate monitor evaluate deploy and improve AI agentsand soon fine-tune and own their own models.

    We value autonomy speed and innovation and were building a world-class team to match. Our squads are lean focused and execution-driven.

    If you thrive in high-performance environments and want to be part of a company that rewards transformational outcomes this is for you.

    Key Skills

    Industrial Maintenance,Machining,Mechanical Knowledge,CNC,Precision Measuring Instruments,Schematics,Maintenance,Hydraulics,Plastics Injection Molding,Programmable Logic Controllers,Manufacturing,Troubleshooting

    Employment Type : Full-Time

    Experience : years

    Vacancy : 1

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    Machine Learning Engineer • Madrid, Madrid, Spain

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