Data & AI Solutions Engineer

Publicado hace 7 meses

About the Role

We are looking for a Data & AI Solutions Engineer to design and deliver intelligent solutions driven by data and machine learning.

This role is focused on solving business problems through well-designed data pipelines, applied machine learning, and reliable engineering practices. You will work end to end, from raw data to AI-powered features used in production.

If you enjoy working close to data, care about correctness and impact, and like turning messy problems into clean solutions, this role is for you.


Responsibilities

  • Design and implement data pipelines that feed AI and machine learning systems.
  • Develop and integrate machine learning models into production applications.
  • Work closely with stakeholders to understand requirements and translate them into technical solutions.
  • Ensure data quality, consistency, and reliability across systems.
  • Optimize AI and data workflows for performance and scalability.
  • Monitor system behavior and continuously improve solutions.
  • Document designs, decisions, and best practices.

Technical Stack

You will work with a pragmatic, production-oriented stack:

Data and Processing

  • Python for data processing and AI integration
  • SQL for data querying and analysis
  • ETL / ELT pipelines and batch processing

AI and Machine Learning

  • Applied machine learning and model integration
  • Exposure to LLMs or predictive systems
  • Feature engineering and model evaluation

Infrastructure and Systems

  • Backend services and APIs
  • Containerized deployments
  • Cloud platforms (AWS, GCP, or similar)
  • Logging and monitoring tools

Requirements

  • Strong experience working with data-driven systems.
  • Solid software engineering fundamentals.
  • Experience delivering AI or ML solutions in production.
  • Ability to reason about data quality and system behavior.
  • Strong problem-solving and communication skills.
  • Ownership mentality and attention to detail.

Nice to Have

  • Experience with analytics or BI tools.
  • Familiarity with MLOps or data observability.
  • Exposure to vector databases or semantic search.
  • Experience working in product-led teams.

What We Offer

  • Work on meaningful data and AI problems with real impact.
  • End-to-end ownership of solutions.
  • A collaborative and engineering-focused culture.
  • Competitive compensation and growth opportunities.
  • Flexible, remote-friendly working environment.
  • Continuous learning and professional development.

Apply

If you are passionate about building data-driven AI solutions that actually deliver value, we would love to hear from you.

Apply and help us turn data into intelligent products.

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