Remote Lead AI/ML Engineer

Description:

• The Lead AI/ML Engineer at dataplor will work remotely or from one of the company's offices in Honolulu, San Francisco, New York, Los Angeles, Denver, or Miami.
• This role involves building, deploying, and managing AI/ML models to tackle complex data challenges related to location data.
• Responsibilities include processing global polygons, deduplicating records, and cleaning data from thousands of sources in various languages.
• The engineer will collaborate with data operations, data scientists, software engineers, and product teams, reporting directly to the CTO.
• The position requires strategic thinking and innovative solutions to drive success in advancing location data products.
• Key responsibilities include developing and implementing AI/ML models, maintaining ML pipelines, utilizing NLP techniques, and contributing to product development and strategic planning.

Requirements:

• Candidates must have a proven experience of 5+ years in AI/ML engineering, specifically in building and deploying models, preferably in the location data or geospatial industry.
• Experience in successfully deploying models into production and managing them for ongoing improvements is essential.
• Applicants should have experience working with large datasets and developing data processing pipelines.
• Proficiency in programming languages such as Ruby or Python is required.
• Strong knowledge of machine learning frameworks like TensorFlow or PyTorch and NLP techniques is necessary.
• Familiarity with geospatial data processing tools and libraries, such as PostGIS, GeoPandas, and Shapely, is important.
• Candidates should have experience with cloud platforms like AWS or GCP and containerization tools like Docker or Kubernetes.
• Excellent problem-solving and analytical skills are required, along with strong communication skills to explain complex concepts to non-technical stakeholders.
• The ability to work independently and collaboratively in a fast-paced environment is essential.
• A passion for leveraging AI/ML to solve complex data challenges is a must.

Benefits:

• The position offers a competitive salary, health insurance, perks, and an equity package.
• Employees enjoy flexible working hours and remote work options.
• There are professional development opportunities available.
• The work environment is collaborative and supportive.
• Employees will have a seat at the table for strategic planning and product development discussions.