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Gis Machine Learning Jobs in Massachusetts (NOW HIRING)

Aquila Technology

Software Developer

Lexington, MA · On-site

Implementing machine learning models and knowledge of ML training * C/C++, Java, Python, Bash, SQL, Java Script / HTML / CSS, Matlab * GIS development * Linux Environment Preferred Skills: * Audio ...

Technosylva

Senior Product Designer

Boston, MA

The Company's market-leading solutions, enhanced by AI and machine learning capabilities, provide ... Background in GIS, cartography, or geospatial data visualization. Experience with modern GIS ...

Technosylva

Senior Product Designer

Boston, MA · On-site

The Company's market-leading solutions, enhanced by AI and machine learning capabilities, provide ... Background in GIS, cartography, or geospatial data visualization. Experience with modern GIS ...

All JobsGis Machine Learning JobsGis Machine Learning Jobs in Massachusetts

Gis Machine Learning information

What is a GIS Machine Learning job?

GIS Machine Learning jobs involve applying machine learning techniques to geographic information systems (GIS) data to analyze spatial patterns, make predictions, and solve complex geospatial problems. Professionals in this field use algorithms and models to process location-based data, automate mapping tasks, and extract insights from satellite imagery or sensor data. These roles often require skills in programming, data analysis, and an understanding of both GIS principles and machine learning methodologies. GIS Machine Learning specialists can work in industries like urban planning, environmental monitoring, agriculture, and disaster management.

What are common challenges when integrating machine learning models with GIS data, and how can they be addressed?

One common challenge in GIS machine learning roles is handling the complexity and diversity of spatial data, which often comes in various formats and resolutions. Ensuring data quality and alignment is crucial, as inconsistencies can negatively impact model performance. Another challenge is computational efficiency, since spatial datasets can be very large. Collaboration with data engineers and GIS analysts is often necessary to preprocess data effectively and optimize workflows. Staying updated with advancements in geospatial libraries and cloud-based solutions can help address these challenges.

What are the key skills and qualifications needed to thrive as a GIS Machine Learning specialist, and why are they important?

To thrive as a GIS Machine Learning Specialist, you need expertise in geospatial analysis, machine learning algorithms, and a background in GIS-related fields, often supported by a relevant degree. Familiarity with tools like ArcGIS, QGIS, Python, R, and libraries such as scikit-learn and TensorFlow, as well as experience with spatial databases, is crucial. Strong problem-solving, critical thinking, and effective communication skills help translate complex data into actionable insights. These abilities enable professionals to develop innovative geospatial solutions and drive informed decision-making in diverse sectors.

What is the difference between Gis Machine Learning vs GIS Analyst?

AspectGis Machine LearningGIS Analyst
Required CredentialsBachelor's in GIS, Computer Science, or related; knowledge of machine learningBachelor's in Geography, GIS, or related; GIS certifications often preferred
Work EnvironmentData science teams, software development, research projectsUrban planning, environmental agencies, government offices
Employer & Industry UsageTech companies, research institutions, environmental firmsGovernment agencies, consulting firms, urban planning departments
Common Search & Comparison IntentUnderstanding technical skills and data modelingAnalyzing spatial data for projects and reports

Gis Machine Learning focuses on applying machine learning techniques to spatial data, often requiring programming and data science skills. In contrast, GIS Analysts primarily work with spatial data analysis, mapping, and reporting within various industries. While both roles involve GIS, Gis Machine Learning emphasizes advanced data modeling, whereas GIS Analysts focus on spatial data management and visualization.

What are popular job titles related to Gis Machine Learning jobs in Massachusetts? For Gis Machine Learning jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Gis Machine Learning jobs in Massachusetts look for? The top searched job categories for Gis Machine Learning jobs in Massachusetts are:
What cities in Massachusetts are hiring for Gis Machine Learning jobs? Cities in Massachusetts with the most Gis Machine Learning job openings:
Gis Machine Learning jobs near you

Android Developer with Security Clearance

John Galt Staffing

Lexington, MA • On-site

$62.75 - $82.25/hr

Other

Posted 19 days ago

Job description

Hybrid The Human Health & Performance Systems Group focuses on objective, technology-based human-centered solutions to measure, model and modify cognitive and physiological function for enhancement, sustainment, or recovery. Our goal is to deliver mission-focused technologies to ensure the human component is successful. This is accomplished through four broad technical areas: health and resilience monitoring, trauma care, enhanced communications, and human machine teaming. Research in all areas includes capability gap analysis, advanced sensing, machine learning and artificial intelligence
algorithms, biologically-based modeling, prototyping, system integration, and field testing of systems to monitor the human state, predict outcomes, and intervene to improve health and performance. This position will focus on Android app development as the primary role, which includes full app capabilities (graphical user interface, underlying models, and analytics). App development may also involve wrapping or refactoring complex physiological and empirical mathematical models developed by researchers in a variety of programming languages (e.g., C, C#, MATLAB) to harden the models for use within the app. Additionally, integrating with overarching systems that enable end-user access to tools from Web Apps and wearables. In addition to developing Android apps, the position will require testing and demonstrating applications to a variety of stakeholders. A successful candidate will also have previous experience with CAREN systems and DFLOW programming along with motion capture system data structures and creating data analysis pipelines. The candidate will work closely with our research team on various programs as well has help support our STRIVE Center Research Lab as needed by developing efficient solutions to data collection and analysis needs. Candidates should be comfortable in a team environment and interested in developing technologies to improve decision support systems used in critical circumstances in the real world. Must Have:
* Android and iOS development
* Mobile user interface design principles
* Mobile user analytics
* Relational Databases (e.g., SQLite, MySQL, PostgreSQL)
* JSON and XML data formats
* Arduino, Raspberry PI, and other similar technologies
* AWS Cloud Computing
* Fluent in DFLOW programming and experience with Vicon Nexus software
* Java
* Mathematical modeling
* Scientific computing and data analysis
* Lua Nice To Have:
* Audio, video, and image processing
* Implementing machine learning models and knowledge of ML training
* Wearable device development/integration
* Knowledge of C, C++, C#, F#, Lua, Java, Kotlin, Scala, Python, Swift, MATLAB programming languages
* Thin-client, browser-based user interfacedevelopment
* Web Services, JavaScript, TypeScript, Angular, Django, SOAP/REST interfaces
* Socket networking, multi-threaded and concurrent programming
* Linux environments and experience with legacy systems
* PSI Framework
* GIS development
* Healthcare, biomedical knowledge
* Agile development process
* Automation
* Real-time data integration
* Unity development

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