geospatial engineer

Mitti Labs

<div>About Mitti Labs:
Mitti Labs is a climate-tech startup dedicated to transforming the rice industry by supporting smallholder farmers in adopting sustainable practices. Our mission is to bring AI and satellite technology into traditional rice farming, reducing methane emissions while improving farmer livelihoods. 
Backed by NASA-supported science and a strong ecosystem of partners, we work with global corporations to help them achieve their net-zero goals through verified, high-quality carbon credits. Our initiatives include launching a 40,000 farmers project in Telangana and Andhra Pradesh and reducing air pollution from stubble burning in Punjab.
Our customers &mdash; including Fortune 500 companies and leading agri-businesses &mdash; trust Mitti Labs to deliver measurable impact across climate, food systems, and sustainability. 
 
We are a team of 30+ data scientists, agronomists, engineers, and operators, including leaders in NASA&rsquo;s SAR program, with decades of expertise in remote sensing and GHG modeling.
Role Description:<ul>
<li>
Design, build and maintain geospatial data infrastructure and scalable pipelines</li>
<li>Automate workflows, complex data structures, and data handling on the cloud</li>
<li>Support data scientists, crop modelers, field agents / Ops, and MRV products with geospatial application development using best practices</li>
</ul>
Requirements<ul>
<li>
5+ years experience in scientific programming (Python, C/C++), software engineering, and building/maintaining geospatial data science infrastructure</li>
<li>Familiarity with STAC and Cloud-Native geospatial assets handling and pipelines</li>
<li>Experience with AWS (or GCP equivalent), serverless architectures (Lambda, Step Functions), containerization (ECS, EKS), storage (S3)</li>
<li>Experience with open source tools, common data formats (GeoTIFF, NetCDF, COGs, Geojson) and frameworks / libraries (GDAL, GeoPandas, Rasterio, Xarray, Zarr, PyTorch)</li>
<li>Software containerization, command-line and user interface experience to run programs</li>
<li>Experience with continuous integration and automated test frameworks</li>
<li>Basic knowledge/interest in remote sensing, LLMs, simulation models</li>
<li>Comfortable working with agile data scientists, high-growth environments with rapid iteration and evolving priorities, cross functional teams, version control, and ticketing</li>
</ul>
Benefits<ul>
<li>
Be at the frontline of climate-tech 
Mitti Labs is tackling the methane emissions and water-intensive practices of rice farming &mdash; a major global climate lever that few organisations are focussed on. You&rsquo;ll work with satellite/AI/field-data to drive real change, not just build features.
</li><li>High-impact global platform + deep local action 
The company&rsquo;s work spans from smallholder farmers in India and Southeast Asia to global carbon markets and buyers. You&rsquo;ll have the opportunity to interface with both real-world farm operations and high-level climate finance</li>
<li>Work with a mission-driven, elite team in a dynamic growth environment 
Mitti Labs is backed by top investors (Lightspeed, Voyager) and led by a team with deep expertise in agriculture, carbon science and tech. If you join, you&rsquo;ll be in a high-growth startup environment where your contributions matter, iteration is rapid, priorities evolve&mdash;and you&rsquo;ll see your work have tangible impact on climate and livelihoods.</li></ul></div>

Geospatial SW Engineer

Caterpillar

<div>Career Area:
Engineering
Job Description:
Your Work Shapes the World at Caterpillar Inc.
When you join Caterpillar, you're joining a global team who cares not just about the work we do &ndash; but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here &ndash; we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.
We are seeking a highly skilled and motivated Senior Python Developer / Tech Lead with deep expertise in Geospatial Sciences and Terrain Data Processing. You will lead the design and development of scalable geospatial data pipelines, terrain modeling systems, and analytics platforms that support our autonomy and mapping initiatives.
Responsibilities<ul><li>
Lead the architecture, design, and implementation of Python-based systems for geospatial data processing and terrain analysis.</li><li>
Develop and optimize algorithms for terrain modeling, elevation data handling (e.g., DEM, DSM, DTM), and spatial interpolation.</li><li>
Integrate and manage large-scale geospatial datasets (e.g., LiDAR, satellite imagery, GPS tracks).</li><li>
Collaborate with data scientists, GIS analysts, and autonomy engineers to deliver high-performance solutions.</li><li>
Mentor junior developers and contribute to code reviews, best practices, and technical leadership.</li><li>
Ensure code quality, scalability, and maintainability across the geospatial data stack.</li><li>
Experience with 3D terrain modeling, mesh generation, or point cloud processing.</li><li>
Knowledge of machine learning applications in geospatial analysis.</li><li>
Exposure to tools like QGIS, CesiumJS, or OpenLayers.</li><li>
Experience with containerization (Docker), CI/CD pipelines, and cloud platforms (AWS/GCP/Azure).</li></ul>
Degree Requirement:<ul><li>
8+ years of experience in Python development, with at least 2 years in a technical leadership role.</li><li>
Strong understanding of geospatial concepts and coordinate systems (e.g., WGS84, UTM).</li><li>
Hands-on experience with geospatial libraries and tools such as GDAL, Rasterio, Fiona, Shapely, Pyproj, GeoPandas.</li><li>
Experience with terrain data formats and processing workflows (e.g., LiDAR, SRTM, GeoTIFF).</li><li>
Familiarity with spatial databases (e.g., PostGIS) and cloud-based geospatial data handling.</li><li>
Proficiency in designing RESTful APIs and integrating geospatial services.</li><li>
Strong problem-solving skills and ability to work in a fast-paced, collaborative environment</li></ul>
Skill Descriptors
Problem Solving: Knowledge of approaches, tools, techniques for recognizing, anticipating, and resolving organizational, operational or process problems; ability to apply knowledge of problem solving appropriately to diverse situations.
Level Extensive Experience:<ul><li>
Ensures capture of lessons to be learned from a problem-solving effort.</li><li>
Organizes potential problem solvers and leads problem resolution efforts.</li><li>
Uses varying problem-solving approaches and techniques as appropriate.</li><li>
Contributes to standard practices for problem-solving approaches, tools, and processes.</li><li>
Analyzes and synthesizes information and devises alternative resolution strategies.</li><li>
Develops successful resolutions to critical or wide-impact problems.</li></ul>
Software Development Life Cycle: Knowledge of software development life cycle; ability to use a structured methodology for delivering and managing new or enhanced software products to the marketplace.
Level Extensive Experience:<ul><li>
Explains how to use multiple, vendor-provided or in-house structured methodologies.</li><li>
Describes tasks, tools and practices for converting software product requirements into a design.</li><li>
Demonstrates experience with all phases and deliverables of the product development methodology.</li><li>
Implements the generic functions, features and facilities of modern structured methods.</li><li>
Explores and evaluates major structured methodologies available in the marketplace.</li><li>
Consults on effective application of structured product development methodologies.</li></ul>
Software Product Testing: Knowledge of software product testing; ability to design, plan, and execute testing strategies and tactics to ensure software product quality and adherence to stated requirements.
Level Extensive Experience:<ul><li>
Has experience with planning and executing full spectrum of tests for multiple products.</li><li>
Provides input to design team to ensure testing considerations are incorporated into system design.</li><li>
Creates test scenarios that ensure all error handling processes perform as expected.</li><li>
Defines, creates, and executes test plans and cases; estimates time, effort and resources required.</li><li>
Explains approaches and tools for functional, reliability, and vulnerability testing.</li><li>
Discusses applications of iterative testing using agile methodologies.</li></ul>
Application Development Tools: Knowledge of application and system development; ability to utilize a variety of specific tools and toolkits for developing applications.
Level Extensive Experience:<ul><li>
Evaluates toolkits used to support major production systems.</li><li>
Resolves issues regarding functions, features and components of multiple toolkits.</li><li>
Provides implementation support on toolkit enhancements or changes.</li><li>
Interprets benefits and drawbacks of procedural and event-driven toolkits.</li><li>
Oversees the evaluation and recommendation of delivery tools and platforms.</li><li>
Coaches others on appropriate uses of all major tools in a toolkit for a specific platform.</li></ul>
Artificial Intelligence: Knowledge of the concepts, technologies and methodologies of artificial intelligence (AI); ability to develop, implement and/or apply artificial intelligence products and services in specific industry domain to achieve business goals.
Level Working Knowledge:<ul><li>
Performs basic tasks within a specific artificial intelligence area, such as self-driving cars, medical diagnosis, playing games, financial fraud detection, etc.</li><li>
Assists in business requirements analysis in the AI solution design or deployment process.</li><li>
Maintains and/or updates AI systems and equipment on a regular basis.</li><li>
Deploys, develops or operates specific AI products, equipment, systems and/or platforms to achieve certain business goals.</li><li>
Tests and troubleshoots the functionality of AI applications and systems within a specific area.</li></ul>
Programming: Knowledge of relevant programming languages and tools; ability to test, write, design, debug, troubleshoot and maintain source codes and computer programs.
Level Extensive Experience:<ul><li>
Conducts walkthroughs and monitors the quality of development activities.</li><li>
Assesses the impact of new productivity improvement tools on one's own area of responsibility.</li><li>
Compares and contrasts similarities and differences between multiple programming languages.</li><li>
Oversees major developmental efforts adhering to application systems design.</li><li>
Evaluates characteristics and advantages of different programming techniques.</li><li>
Coaches juniors on multiple programming languages.</li></ul>
Technical Troubleshooting: Knowledge of technical troubleshooting approaches, tools and techniques; ability to anticipate, recognize, and resolve technical issues on hardware, software, application or operation.
Level Extensive Experience:<ul><li>
Emphasizes the business impact of failure and the criticality and timing of needed resolution so that problems can be avoided in the future.</li><li>
Creates trouble reports for all issues found and reviews solutions for completeness and correctness.</li><li>
Directs the resolution of communications problems in multi-vendor environments.</li><li>
Resolves a variety of hardware, software, and communications malfunctions.</li><li>
Coaches others on advanced diagnostic techniques and tools for unusual or performance-related problems.</li><li>
Facilitates the distribution of releases reports and correction packages to departments or clients.</li></ul>
Relocation is available for this position.
Posting Dates:
November 13, 2025 - November 27, 2025
Caterpillar is an Equal Opportunity Employer. Qualified applicants of any age are encouraged to apply
Not ready to apply? Join our Talent Community.</div>

Python Tech Lead(Geospatial)

<div>About Mitti Labs:
Mitti Labs is a climate-tech startup dedicated to transforming the rice industry by supporting smallholder farmers in adopting sustainable practices. Our mission is to bring AI and satellite technology into traditional rice farming, reducing methane emissions while improving farmer livelihoods. 
Backed by NASA-supported science and a strong ecosystem of partners, we work with global corporations to help them achieve their net-zero goals through verified, high-quality carbon credits. Our initiatives include launching a 40,000 farmers project in Telangana and Andhra Pradesh and reducing air pollution from stubble burning in Punjab.
Our customers &mdash; including Fortune 500 companies, leading agri-businesses, and global NGOs &mdash; trust Mitti Labs to deliver measurable impact across climate, food systems, and sustainability. 
 
We are a team of 30+ data scientists, agronomists, engineers, and operators, including leaders in NASA&rsquo;s SAR program, with decades of expertise in remote sensing and GHG modeling.
Role Description:<ul><li>
Design, build and maintain ML/AI models from diverse geospatial data for tracking sustainable agriculture.</li></ul><ul>
<li>Preprocess and analyze large, complex geographic datasets (e.g., satellite imagery, sensor/field data), making them ready to be used with ML techniques to identify patterns and trends.</li>
<li>Enhance Application Readiness of ML/DL models to support dMRV platform and carbon science.</li>
</ul>
Requirements<ul>
<li>
5+ years experience in ML Engineering / Applications including productionization of geospatial agriculture models</li>
<li>Experience across diverse AI/ML architectures including design, implementation, evaluation, &amp; deployment</li>
<li>Expert in Python &amp; geospatial data handling with knowledge of common remote sensing assets like Sentinel, Landsat, Planet, soils, weather</li>
<li>Experience with statistical evaluations, assessing model performance and behavior, benchmarking, interpreting accuracy metrics, and automated model testing frameworks</li>
<li>Proficiency with libraries and frameworks such as PyTorch, VertexAI, TensorFlow, Keras, Scikit-learn, Airflow, Docker, etc&hellip;
 
Some experience with higher order tools like Geo-Foundational, CNNs, Transformers, LSTMs, ResNets, Embeddings, GANs, LLMs</li>
<li>Comfortable working with agile data scientists, high-growth environments with rapid iteration and evolving priorities, cross functional teams, version control, and ticketing</li></ul>
Benefits<ul>
<li>
Be at the frontline of climate-tech 
Mitti Labs is tackling the methane emissions and water-intensive practices of rice farming &mdash; a major global climate lever that few organisations are focussed on. You&rsquo;ll work with satellite/AI/field-data to drive real change, not just build features.
</li><li>High-impact global platform + deep local action 
The company&rsquo;s work spans from smallholder farmers in India and Southeast Asia to global carbon markets and buyers. You&rsquo;ll have the opportunity to interface with both real-world farm operations and high-level climate finance</li>
<li>Work with a mission-driven, elite team in a dynamic growth environment 
Mitti Labs is backed by top investors (Lightspeed, Voyager) and led by a team with deep expertise in agriculture, carbon science and tech. If you join, you&rsquo;ll be in a high-growth startup environment where your contributions matter, iteration is rapid, priorities evolve&mdash;and you&rsquo;ll see your work have tangible impact on climate and livelihoods.</li></ul></div>

Machine Learning Engineer - Geospatial AI

Esri

<div>Overview

Esri is seeking a Senior GIS Engineer to join the Global Community Engagement Team, where you will act as a geospatial champion building and delivering ArcGIS based solutions to communities within and outside of Esri. In this role, you will leverage ArcGIS, with latest AI advancements plus it's associated data, maps, apps and integration capabilities, to demonstrate The Geographic Approach in action. This is a great opportunity to be creative in how ArcGIS technology can be configured at an advanced level to deliver engaging solutions.

Your responsibilities include working alongside other GIS Engineers, Product Engineers, internal teams and Esri Distributor staff to design and develop state of the art content delivery systems for stakeholders, business leaders and their communities. Where necessary you will enhance the ArcGIS experiences and workflows with relevant customization via common programming languages.

Responsibilities
<ul>
<li>Be an expert: Be proficient across ArcGIS and demonstrate the technology in new innovative ways. Understand stakeholder requirements, trends and associated workflows and incorporate these into your outputs.</li>
<li>Drive innovation: Utilize front and back-end programming skills, such as HTML, CSS, ArcGIS API for JavaScript, Python, and more to enhance the delivery of ArcGIS based solutions, specifically ArcGIS Hub and ArcGIS Online. Deliver these with Project Management and Quality Assurance processes in mind.</li>
<li>Solve problems: individually and as part of a team, proactively craft and propose solutions that demonstrate how geospatial brings value to users and communities.</li>
<li>Tell our story: Design presentations and supporting materials for technical and non-technical audiences. Leverage existing and future Engagement Templates and Esri Unique Selling Points outputs. Create configuration guidance and best practices. Present to larger audiences where necessary.</li>
<li>Influence: Contribute to the global community engagement strategy for Esri and collaborate with a team of technical contributors and stakeholders distributed globally.</li>
</ul>
Requirements
<ul>
<li>5+ years of professional experience working with ArcGIS Technology, with a focus on ArcGIS Online and ArcGIS Hub and associated apps</li>
<li>A passion for geographic knowledge and spatial thinking, promoting The Geographic Approach and experience of systems thinking</li>
<li>A strong drive and interest to learn and launch new ideas quickly and work in a fast-paced team environment with a disciplined, process-oriented mindset</li>
<li>Experience configuring and publishing ArcGIS data, maps, and apps with advanced configuration desirable, including interoperability</li>
<li>Programming and scripting experience with languages such as HTML, CSS, Python and JavaScript; exposure and experience with latest AI tools in this space is desirable</li>
<li>Strong presentation skills, with excellent verbal and written communication along with virtual and in-person collaboration skills</li>
<li>International collaboration and business experience, working with multiple cultures, developed and emerging markets</li>
<li>Ability to travel up to 10% domestically and internationally</li>
<li>Bachelors in geography, computer science, or GIS-related field</li>
<li>Visa sponsorship is not available for this posting. Applicants must be authorized to work for any employer in the U.S.</li>
</ul>
Recommended Qualifications
<ul>
<li>Knowledge of project management and design processes</li>
<li>Certificates in common programming and scripting languages</li>
<li>Prior learning or experience in business strategy, team leadership, technical or data science is a plus</li>
</ul>
#LI-Onsite

#LI-OH1<div>
The Company

At Esri, diversity is more than just a word on a map. When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in having a diverse workforce that is unified under our mission of creating positive global change. We understand that diversity, equity, and inclusion is not a destination but an ongoing process. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their life's best work. Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology. For more information on Esri's Racial Equity and Social Justice initiatives, please visit our website here.

If you don't meet all of the preferred qualifications for this position, we encourage you to still apply!

Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need reasonable accommodation for any part of the employment process, please email askcareers@esri.com and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address.

Esri Privacy Esri takes our responsibility to protect your privacy seriously. We are committed to respecting your privacy by providing transparency in how we acquire and use your information, giving you control of your information and preferences, and holding ourselves to the highest national and international standards, including CCPA and GDPR compliance.</div></div>

Sr. GIS Engineer - Global Community Engagement

Cognizant Technology Solutions

<div></div><div>Job summary
The GeoSpatial Sr. Analyst MAP will be responsible for leveraging geospatial data to provide insights and solutions that align with business objectives. With a focus on manual testing and Tosca the role requires a deep understanding of geospatial technologies and methodologies. The candidate will work in a hybrid model ensuring seamless integration of geospatial data into various business processes enhancing decision-making and operational efficiency. 
Responsibilities<ul><li>
Conduct comprehensive geospatial data analysis to support business objectives and decision-making processes.</li><li>
Develop and implement manual testing strategies to ensure the accuracy and reliability of geospatial data outputs.</li><li>
Utilize Tosca to automate testing processes enhancing efficiency and reducing the potential for human error.</li><li>
Collaborate with cross-functional teams to integrate geospatial insights into broader business strategies.</li><li>
Provide detailed reports and visualizations of geospatial data to stakeholders facilitating informed decision-making.</li><li>
Ensure data integrity and accuracy through rigorous testing and validation processes.</li><li>
Stay updated with the latest geospatial technologies and methodologies to continuously improve data analysis processes.</li><li>
Identify opportunities for process improvements and implement solutions to enhance data analysis efficiency.</li><li>
Support the development and maintenance of geospatial databases ensuring data is current and accessible.</li><li>
Communicate complex geospatial concepts to non-technical stakeholders in a clear and concise manner.</li><li>
Work closely with IT teams to ensure seamless integration of geospatial tools and technologies.</li><li>
Monitor and evaluate the performance of geospatial systems making recommendations for enhancements as needed.</li><li>
Provide training and support to junior analysts fostering a culture of continuous learning and improvement.</li></ul> 
Qualifications<ul><li>
Possess a strong background in manual testing with a focus on geospatial data.</li><li>
Demonstrate proficiency in using Tosca for automated testing processes.</li><li>
Have a solid understanding of geospatial technologies and methodologies.</li><li>
Exhibit excellent analytical and problem-solving skills.</li><li>
Show ability to communicate complex technical concepts to non-technical audiences.</li><li>
Display experience in working within a hybrid work model.</li><li>
Hold a bachelors degree in Geography Computer Science or a related field.</li></ul></div>

GeoSpatial Sr.Analyst MAP

Apple

Geospatial data engineering defines real-world user experiences through Maps. As we make the Maps experience more intelligent and context-aware, it becomes central to delivering precision and confidence; helping users seamlessly search, find, and reach the exact place or address they intend to go. Whether it&rsquo;s powering navigation, enabling detailed address search, enhancing map display, or driving rich interactions with places, our work builds the intelligence behind these crucial experiences. This foundation supports hundreds of millions of Apple Maps users every day, crafting how they explore and connect with the world around them. 
 
Description 
As a Machine Learning Engineer on the Maps Data Engineering team, you&rsquo;ll design and deploy advanced models that fuse satellite imagery, aerial photos, behavioral signals, rich map metadata, and hundreds of internal data sources to power next-generation user experiences. You&rsquo;ll also pioneer the development of generative AI-driven multi-agent systems capable of dynamic reasoning, evaluation, and self-improvement-scaling the accuracy, precision, and quality of map data that millions of users rely on every day. 
 
This role offers the opportunity to solve some of the most complex real-world challenges at the intersection of geospatial intelligence, computer vision, large language models, and generative AI. 
 
At Apple, we create products that enrich people&rsquo;s lives; and we believe even the smallest moments, like arriving confidently at the right destination, are part of that promise. As a member of the Maps Data Engineering team, you&rsquo;ll help transform intricate geospatial systems into seamless, intuitive experiences; turning advanced technology into everyday magic for hundreds of millions of users worldwide.&quot;,&quot;responsibilities&quot;:&quot;As a Senior Machine Learning Engineer, you will be a technical leader responsible for the entire lifecycle of our data intelligence systems. 
 
ARCHITECT AND OWN PRODUCTION ML SYSTEMS: Lead the full lifecycle of ML solutions from research and prototyping through deployment, monitoring, and large-scale optimization. 
 
Ensure reliability, efficiency, and measurable impact of production ML systems. 
 
DRIVE DATA INTELLIGENCE WITH ADVANCED MODELS: Develop and fine tune sophisticated models, including LLMs/transformers and computer vision models, to extract insights, detect anomalies, and improve geospatial data quality. 
 
Design and operationalize generative AI driven multi-agent systems capable of reasoning, evaluating, and self-improving at scale. 
 
LEAD MULTI-FUNCTIONAL INNOVATION: Collaborate with data engineers, product managers, and operations teams to translate complex business needs into scalable technical solutions. 
 
Integrate ML systems seamlessly into the broader Maps ecosystem to enhance navigation, search, and place experiences. 
 
ELEVATE ENGINEERING PERFECTION: Champion standard processes in ML engineering and MLOps, including reproducibility, monitoring, and CI/CD for ML. 
 
Mentor and guide other engineers, fostering a culture of technical rigor, innovation, and continuous improvement. 
 
Preferred Qualifications 
A track record of publications in credible machine learning conferences (e.g., NeurIPS, ICML, ACL) or relevant journals 
 
Contributions to publicly available models or a strong performance record on Kaggle or other machine learning competitions. 
 
Past experience working directly with geospatial data, mapping technologies, or location-based services. 
 
A strong conceptual understanding of distributed data and compute systems, event streaming platforms (e.g., Kafka), and modern data storage formats. 
 
Advanced degree (MS/PhD or equivalent experience) in Computer Science, Machine Learning, AI, or related field or equivalent practical experience. 
 
Minimum Qualifications 
5+ years of experience in machine learning engineering or applied data science, with a consistent record of delivering production-grade ML systems. 
 
8+ years of software product engineering experience. 
 
Strong background in machine learning, computer vision, NLP, or generative AI, with hands-on expertise applying these techniques to large-scale data. 
 
Deep familiarity with LLMs, transformers, and the HuggingFace ecosystem; ability to fine-tune, optimize, and deploy models in production. 
 
Proven grounding in statistical modeling, design, and predictive analytics to drive decisions. 
 
Expert-level proficiency in Python and command of data science libraries (e.g., NumPy, Pandas, Polars, Scikit-learn) and ML frameworks (PyTorch, TensorFlow). 
 
Proficiency in data visualization for analysis, model diagnostics, and communicating sophisticated findings (e.g., Matplotlib, Seaborn, Plotly). 
 
Excellent communication, leadership, and mentoring skills, with the ability to guide junior engineers and collaborate effectively across diverse teams.&quot;,&quot;internalDetails&quot;:null,&quot;eeoContent&quot;:null

Senior Machine Learning Engineer - Maps Data

Hudhud Maps

<div>As a Senior Machine Learning Engineer specializing, you will lead the development and implementation of machine learning algorithms and models to enhance our mapping and location-based services. You will be responsible for leveraging machine learning techniques to extract insights, automate processes, and improve the accuracy and relevance of our map data.
Key Responsibilities:
<ul><li>Algorithm Development: Lead the design, development, and optimization of machine learning algorithms and models for various mapping applications, including data analysis, feature extraction, image processing, and predictive modeling.</li><li>
Data Processing and Analysis: Collaborate with data engineers to preprocess, clean, and analyze map data, including satellite imagery, LiDAR data, and point cloud data, to extract relevant features and patterns.</li><li>
Model Training and Evaluation: Train, validate, and evaluate machine learning models using large-scale datasets to achieve high accuracy, robustness, and scalability for mapping applications, such as road detection, object recognition, and semantic segmentation.</li><li>
Integration and Deployment: Integrate machine learning models into existing mapping systems and workflows, ensuring seamless deployment and interoperability with other software components. Collaborate with software engineers to develop APIs and interfaces for model integration.</li><li>
Performance Optimization: Optimize machine learning algorithms and models for performance, efficiency, and scalability, including algorithm parallelization, hardware acceleration, and deployment on cloud platforms.</li><li>
Research and Innovation: Stay updated on the latest advancements in machine learning, computer vision, and geospatial technologies, and apply innovative techniques to solve mapping-related challenges and drive continuous improvement.</li></ul>
Qualifications:
<ul><li>Master's or Ph.D. degree in computer science, machine learning, artificial intelligence, or a related field.</li><li>
 5 years of experience in machine learning research and development, with a focus on computer vision, geospatial analysis, or mapping applications.</li><li>
Proficiency in machine learning frameworks and libraries, such as TensorFlow, PyTorch, and OpenCV.</li><li>
Strong programming skills in Python, C++, or another relevant language, with experience in software development and version control systems.</li><li>
Experience with geospatial data processing and analysis tools, such as GDAL, PostGIS, and QGIS.</li><li>
Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.</li><li>
Effective communication and leadership skills, with experience mentoring junior team members and collaborating with cross-functional teams.</li></ul></div>

Senior Machine Learning Engineer

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