Full-Time
Lead AI/ML Engineer
Posted on 12/3/2024
dataplor
51-200 employees
Provides global POI and territory data
Senior
Remote in USA
Remote or any of our offices in Honolulu, San Francisco, New York, Los Angeles, Denver, or Miami.
- Proven experience (5+ years) in AI/ML engineering building and deploying models, preferably in the location data or geospatial industry.
- Demonstrated experience successfully deploying models into production and managing these models for ongoing improvements.
- Experience working with large datasets, multiple sources, and developing data processing pipelines.
- Proficiency in programming languages such as Ruby or Python.
- Strong knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch) and NLP techniques.
- Experience with geospatial data processing tools and libraries (e.g., PostGIS GeoPandas, Shapely).
- Familiarity with cloud platforms (e.g., AWS, GCP) and containerization (e.g., Docker, Kubernetes).
- Excellent problem-solving and analytical skills.
- Strong communication skills, with the ability to explain complex concepts to non-technical stakeholders.
- Ability to work both independently and collaboratively in a fast-paced, dynamic environment.
- Passion for leveraging AI/ML to solve complex data challenges.
- Develop and implement AI/ML models to process and analyze large-scale location data.
- Work on cleaning, deduplicating, and normalizing data from multiple sources.
- Enhance our global polygon data to ensure accuracy and consistency.
- Build and maintain ML pipelines for deduplication and data standardization.
- Utilize NLP techniques to handle multilingual data and improve data extraction and classification.
- Develop and fine-tune Large Language Models (LLMs) to improve data quality and processing efficiency.
- Collaborate with data scientists, engineers, and product managers to identify and solve data-related challenges.
- Stay up-to-date with the latest advancements in AI/ML and NLP technologies and integrate them into our workflows.
- Contribute to the continuous improvement of our data processing frameworks and methodologies.
- Play a key role in the development and launch of new products.
- Participate in strategic planning sessions and contribute to high-level decision-making processes.
- Work closely with leadership to align AI/ML initiatives with company goals and objectives.
Dataplor provides accurate Points of Interest (POI) and territory data on a global scale, catering to businesses, investors, and market analysts who need reliable data for decision-making. Their product enriches existing systems with real-time POI data, allowing clients to understand where their products are sold and to analyze the competitive landscape. Dataplor differentiates itself from competitors by offering advanced qualitative Key Performance Indicators (KPIs) and a rigorous Quality Control (QC) process that ensures data reliability. The company's goal is to support effective investment decisions and sustainable growth strategies by delivering actionable insights that help clients identify market trends and emerging opportunities.
Company Stage
Series A
Total Funding
$16.6M
Headquarters
Manhattan Beach, California
Founded
N/A
6 month growth
↑ 12%1 year growth
↑ 31%2 year growth
↑ 47%
Simplify's Take
What believers are saying
- The recent $10.6 million Series A funding led by Spark Capital positions dataplor for accelerated growth and expansion of its global location intelligence platform.
- Dataplor's ability to double its revenue annually since 2020 and maintain profitability indicates strong financial health and growth potential.
- The company's data intelligence tool, which covers over 300 million POI records, provides clients with actionable insights for strategic decision-making and market entry strategies.
What critics are saying
- The competitive landscape in geospatial analytics is intense, with larger players potentially overshadowing dataplor's market presence.
- Rapid expansion and scaling efforts may strain resources and impact the quality of data and services provided.
What makes dataplor unique
- Dataplor's focus on providing highly accurate and human-reviewed POI data across 200 countries sets it apart from competitors who may not offer such comprehensive global coverage.
- The company's advanced qualitative KPIs and industry-leading Quality Control process ensure data reliability, offering a competitive edge in business forecasting and market analysis.
- Dataplor's strategic partnerships, such as with Cytora and CartoDB, enhance its geospatial analytics capabilities, distinguishing it from other data providers.
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