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ML Engineer (Applied AI)

1 day, 4 hours ago
Spain
Full-time
Mid Level
Machine Learning Engineer
Software Development
AWS Generative AI Machine Learning NLP Python SageMaker SQL
Apply Now
NineTwoThree

NineTwoThree

NineTwoThree is a leading software development firm based in Boston with over 10 years of experience in mobile apps, web apps, and AI. They specialize in custom web and mobile app development, incubating digital venture ideas, and partnering with compa...

Internet Software & Services
51-250
Founded 2012
View All Jobs 5

Description

  • Design and implement classical machine learning and generative AI solutions for client projects.
  • Build robust LLM applications, agentic workflows, and retrieval pipelines from prototype to production.
  • Evaluate AI systems for quality, reliability, safety, and business impact before and after deployment.
  • Integrate AI capabilities into web and mobile applications alongside full-stack developers and DevOps.
  • Optimize prompts, system instructions, and chunking strategies for accuracy, latency, cost, and privacy.
  • Clean, process, and analyze client data to train or fine-tune models for forecasting, classification, and anomaly detection.
  • Participate in client discovery sessions and translate business needs into technical scopes.
  • Demo prototypes to stakeholder teams and communicate technical concepts clearly.
  • Review code, validate AI outputs, and contribute documentation and runbooks to the internal knowledge base.

Requirements

  • 3+ years of software engineering experience with a strong focus on machine learning and natural language processing.
  • Deep understanding of modern LLM architectures, context windows, semantic search, and generative AI limitations.
  • Experience building and operating production AI systems, including monitoring, evaluation, debugging, and iterative improvement.
  • Experience with LLM evaluation methods such as retrieval quality, hallucination detection, and task-specific performance measurement.
  • Exceptional Python skills and the ability to query, clean, and structure data with SQL.
  • Hands-on experience deploying ML or API services in cloud environments, preferably AWS.
  • Comfort taking ownership of ambiguous problems from discovery through deployment and ongoing support.
  • Ability to quickly ramp up in a new industry and deliver a working proof of concept within a few weeks.
  • Fluent written and spoken English and comfort communicating with client stakeholders.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field, or equivalent practical experience.

Benefits

  • 20 days of paid vacation per year during the first 3 years, increasing to 25 days later.
  • Paid sick leave, 10 national holidays, and 2 company days off.
  • Well-being budget.
  • Maternity/paternity leave.
  • Professional development course and certification reimbursement up to 100% with manager agreement.
  • Hardware provided based on business needs.
  • Fast hiring process with a short HR interview, technical interviews, a live-coding interview, and an offer stage.

Interested in this position?

Apply directly on the company website

Apply Now

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