Senior Machine Learning Engineer Porto

Senior Machine Learning Engineer
Porto
Porto, Porto District, Portugal

Would you like to partake in technical challenges, collaborate on an interesting product, be up to date with the latest technology, and contribute to taking our product to market? Then keep reading!

Yes, tell me more… fullinfo is a startup B2B data services software company. We are building an
- paralleled data collection pipeline which is being deployed on AWS and written in Go and Typescript. With a focus on innovation, quality, and accessibility, we are developing a
- stop lead generator platform. The Customer facing part of the solution is a Typescript and Graph
QL based web application. Deployed on AWS as well. Serverless paradigm is being applied: Most of our code is running as AWS’s Lambda’s. AWS infrastructure is managed by applying Terraform.

We are currently hiring a Senior Machine Learning Engineer for fullinfo on an initial 12 month B2B Contract of Engagement.

The ideal candidate will be comfortable with Python, AWS, Typescript, Go and have experience designing and implementing A. I. algorithms. Do you prefer to work with a different stack? That’s okay, we are open to new ideas, suggestions, and changes.

Responsibilities:

• Architect and maintain scalable machine learning solutions using AWS services (e. g. , Lambda, S3, Sage
  Maker).
• Analyze, clean, and structure large volumes of
  - structured and unstructured data (e. g. , from No
  SQL stores or scraped sources) for use in ML models.
• Develop and optimize models for tasks such as data classification, entity resolution, relationship detection, and summarization.
• Lead prompt engineering and experimentation with LLMs for business use cases (e. g. , data extraction, enrichment, and validation).
• Collaborate closely with other teams to align ML solutions with business requirements.
• Define and implement model evaluation metrics, testing frameworks, and observability tools.
• Own the full ML lifecycle: from problem definition to model deployment and
  - deployment monitoring.
• Stay up to date with ML/LLM trends and proactively integrate promising techniques into our system.

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field.
• A minimum of 5 years relevant experience.
• Strong proficiency in Python and experience with relevant libraries and tools (e. g. , Pandas,
  - learn, boto3, Transformers).
• Hands-on experience building and deploying ML workflows in the AWS ecosystem (e. g. , Lambda, Sage
  Maker, ECS).
• Deep understanding of working with structured and unstructured data, including Dynamo
  DB, web data, and
  - scale JSON documents.
• Experience with Large Language Models (e. g. , GPT, BERT, LLa
  MA) and techniques such as
  - tuning, embedding generation, and
  - augmented generation (RAG).
• Familiarity with
  -
  - code tools like Terraform is a plus.
• Business-level proficiency in English.

The successful candidate will…

• Take initiative on
  -
  - end ML projects, turning messy data into meaningful insights and reliable, scalable solutions.
• Have a desire to work on different features within our solution, and take a generalist role.
• Possess the ability to familiarize yourself with our product quickly to generate new ideas, reflect on our existing features and think ahead.
• Take on a proactive,
  - on approach.

What can you expect from us?

• To shape the company from the ground up – join our team as a pioneer and help us carve our way forward.
• Together we’ll take our product to market – how cool would it be to celebrate together? A flat hierarchical structure with room for innovation in a highly motivated team.
• A
  - up environment that is passionate about quality, problem solving and building beautiful software.

Our passion stems from our shared values and mission. With that said, our culture is built on two major aspects:

Quality: At fullinfo we have
-
- tell energy, and we let the quality of our product speak for itself. We love building beautiful software and get hyped by always raising the bar on quality. Our product is beautiful inside and outside. How do we achieve this? By always asking ourselves “Is this right? ” or “Does this make sense? ”.

Problem Solving: We foster innovation and novel approaches to problem solving, while keeping user needs at front of mind.