Lead Machine Learning Engineer
Are you a skilled professional looking for a challenging role in machine learning engineering? Do you have a passion for innovation and problem-solving?
* Job Description:
* We are seeking an experienced Machine Learning Engineer to lead our team's efforts in developing scalable, production-grade machine learning systems on AWS.
* As a key member of our team, you will be responsible for defining the ML strategy, leading the development of ML systems, and guiding the design of robust pipelines to prepare and enrich structured and unstructured data.
* Additionally, you will develop and oversee models for tasks such as data classification, entity resolution, relationship detection, and summarization.
* Collaborate with product, engineering, and data teams to integrate ML into product features that solve real customer problems.
* Establish and maintain best practices for model evaluation, monitoring, observability, and reproducibility.
* Mentor ML engineers and help shape a high-performance, learning-oriented ML team.
* Stay ahead of trends in machine learning and AI, and identify opportunities to apply emerging techniques within our product.
* Requirements:
* Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field.
* 6+ years of hands-on experience in applied machine learning, with at least 1–2 years in a technical leadership or lead role.
* Strong Python skills and fluency with ML/NLP libraries and frameworks (e.g., Pandas, scikit-learn, Hugging Face, PyTorch).
* Proven 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-based workflows and practical deployment (prompt tuning, embeddings, vector search, etc.).
* Familiarity with MLOps practices and tools (e.g., CI/CD for ML, monitoring, versioning).
* Experience with infrastructure-as-code tools like Terraform is a plus.
* Excellent communication and collaboration skills. Business-level English required.
* The Successful Candidate Will:
* Take ownership of ML initiatives end-to-end and enjoy turning real-world messy data into valuable product features.
* Be comfortable making architectural decisions and working cross-functionally with product and engineering teams.
* Enjoy mentoring others and fostering a collaborative, high-quality engineering culture.
* Stay curious, love solving hard problems, and care deeply about how your work impacts the user.
* Appreciate the balance between long-term technical vision and fast, iterative delivery in a startup environment.
* What Can You Expect from Us?
* 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 start-up environment that is passionate about quality, problem solving and building beautiful software.
Our Culture Is Built On Two Major Aspects: Quality: At fullinfo we have show-and-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