Would you like to partake in technical challenges, collaborate on an interesting product, stay up-to-date with the latest technology, and contribute to taking our product to market? Then keep reading
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fullinfo is a startup B2B data services software company.
We are building an unparalleled data collection pipeline deployed on AWS, written in Go and Typescript. Our focus is on innovation, quality, and accessibility, developing a comprehensive lead generator platform.
The customer-facing part of our solution is a web application based on Typescript and GraphQL, also deployed on AWS. We utilize a serverless architecture, with most code running as AWS Lambdas, and infrastructure managed via Terraform.
We're seeking a Lead Machine Learning Engineer for an initial 12-month B2B contract. You will drive the strategy and execution of ML systems that power our product, from ideation to deployment. You will collaborate across teams, mentor others, and ensure our ML efforts are scalable, impactful, and aligned with business goals.
Responsibilities :
* Define ML strategy and lead development of scalable, production-grade ML systems on AWS (e.G., Lambda, S3, SageMaker).
* Design robust pipelines for data preparation and enrichment, handling structured and unstructured data (e.G., JSON, scraped web data).
* Develop models for data classification, entity resolution, relationship detection, and summarization.
* Experiment with LLMs (e.G., GPT, BERT, LLaMA), including prompt engineering, embedding generation, fine-tuning, and RAG approaches.
* Collaborate with product, engineering, and data teams to integrate ML features that solve real customer problems.
* Establish best practices for model evaluation, monitoring, observability, and reproducibility.
* Mentor ML engineers and help shape a high-performance, learning-oriented ML team.
* Stay updated on trends in machine learning and AI, and identify opportunities to apply emerging techniques.
Requirements :
* Bachelor's or Master's degree in Computer Science, Machine Learning, or related field.
* 6+ years of hands-on experience in applied machine learning, with 1–2 years in a leadership role.
* Strong Python skills and experience with ML/NLP libraries (e.G., Pandas, scikit-learn, Hugging Face, PyTorch, boto3).
* Experience deploying ML systems on AWS (e.G., SageMaker, Lambda, ECS).
* Experience working with semi-structured and unstructured data at scale (e.G., NoSQL, web data, nested JSON).
* Deep understanding of LLM workflows and deployment (prompt tuning, embeddings, vector search).
* Familiarity with MLOps practices and tools (e.G., CI/CD, monitoring, versioning).
* Terraform experience is a plus.
* Excellent communication and collaboration skills;
business-level English required.
The successful candidate will...
* Take ownership of ML initiatives end-to-end, transforming messy data into valuable features.
* Make architectural decisions and work cross-functionally with product and engineering teams.
* Mentor others and foster a collaborative, high-quality engineering culture.
* Stay curious, enjoy solving hard problems, and care about your work's impact.
* Balance long-term vision with fast, iterative delivery in a startup environment.
What can you expect from us?
* Be a pioneer shaping the company's future and helping us bring our product to market.
* Join a flat hierarchy with room for innovation in a motivated team.
* Work in a startup environment passionate about quality, problem solving, and building beautiful software.
Our culture emphasizes two core aspects:
Quality :
We prioritize building beautiful, high-quality software, always asking, "Is this right?" or "Does this make sense?"
Problem Solving :
We encourage innovation and novel approaches, keeping user needs at the forefront.
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