Demo

Technical Lead for Knowledge Graph Development

Montash
San Mateo, CA Full Time
POSTED ON 2/18/2025
AVAILABLE BEFORE 5/11/2025

Join a pioneering AI start-up that is making strides in foundational technologies! We are looking for a Technical Lead with in-depth knowledge of Machine Learning , Knowledge Graphs , and Entity Resolution to spearhead a dynamic team of ML engineers , data scientists , and software engineers . This is your chance to drive innovation and create impactful solutions that enhance data understanding and decision-making through advanced knowledge graph techniques.

As a Technical Lead , you will manage the complete development lifecycle, from model design and training to production deployment , while contributing to architectural strategies and key initiatives. We seek a passionate leader with a background in knowledge representation and a proven ability to execute ML-driven solutions at scale.

Key Responsibilities :

  • Leadership : Inspire and mentor a talented team of engineers and data scientists, fostering a culture of collaboration and innovation.
  • System Architecture : Design scalable ML models and systems that effectively utilize knowledge graphs and entity resolution.
  • Machine Learning Development : Collaborate with the team to develop, train, and fine-tune models for entity recognition, linking, and graph-based recommendations.
  • Knowledge Graph Enhancement : Champion the development of robust knowledge graph infrastructures to optimize data storage, querying, and semantic interpretation.
  • Entity Resolution : Navigate the complexities of disambiguating and linking entities across extensive datasets, resulting in enriched knowledge representations.
  • Cross-Functional Collaboration : Partner with product managers, data engineers, and stakeholders to ensure alignment between technical activities and business objectives.
  • Research & Development : Keep abreast of cutting-edge advancements in ML, NLP, and graph technologies, integrating innovative concepts into the team's workflows.

Required Qualifications :

  • Education : BS / MS / PhD in Computer Science , Engineering , Mathematics , or a related field.
  • Experience :
  • 6 years in machine learning, data science, or AI with a focus on knowledge graphs, ontologies, and entity-focused projects.
  • 2 years in a leadership role, with a track record of mentoring technical teams.
  • Experience with large-scale data systems, especially graph databases like Neo4j, GraphQL, or RDF.
  • Strong foundation in NLP, entity recognition, and resolution techniques.
  • Experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
  • Skills :

  • Proficient in Python or similar programming languages.
  • Comprehensive understanding of semantic technologies including RDF, OWL, SPARQL, and ontological frameworks.
  • Hands-on experience with the construction, manipulation, and querying of knowledge graphs.
  • Expertise in linking and resolving entities from unstructured or semi-structured data sources.
  • Strong problem-solving abilities focused on developing scalable, high-performance solutions.
  • Outstanding communication and leadership skills.
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