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Geospatial analyst • chicago il
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Village of Oak Park IllinoisOak Park, IL, USMachine Learning / AI Engineer - Remote Sensing / Geospatial
AttisCicero, IL, United States- Full-time
- Remote
Machine Learning / AI Engineer - Remote Sensing / Geospatial
Overview : My client, an innovative technology-focused organization within the Built Environment sector, is seeking a talented and driven Machine Learning / AI Engineer. This is a unique opportunity to contribute to impactful projects focused on leveraging advanced analytics on spatial and visual data to generate critical insights for the industry. If you are passionate about applying cutting-edge AI / ML techniques to solve complex analytical challenges involving location-based and image-based information within the context of Built Environment, this could be the perfect role for you.
Why Join? : Join a forward-thinking organization that is utilizing advanced analytical methods to understand and optimize various aspects of the Built Environment. You will be part of a collaborative and passionate team of professionals, working on projects that are at the forefront of applying AI to real-world scenarios involving spatial and visual understanding within this dynamic sector. This role offers the chance to engage in meaningful work that leverages advanced AI to extract knowledge from rich data sources relevant to the design, construction, and management of our physical surroundings.
Compensation : Base salary between $180,000 - $200,000 depending on experience, plus further benefits.
Location : This role offers a preference for candidates located in the Chicago, IL area, but is a remote position.
The Role : As a Machine Learning / AI Engineer, you will be instrumental in developing and implementing AI models that focus on the analysis of spatial and visual data within the Built Environment. You will collaborate closely with product managers, data scientists, and other technical experts to design and deploy innovative AI-powered analytical solutions relevant to this sector. Your responsibilities will include evaluating and refining existing AI algorithms to ensure optimal performance in processing complex spatial and visual information, staying informed about the latest advancements in AI / ML relevant to these domains, and potentially contributing to the broader technical community.
The Essential Requirements
- Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field; advanced degree preferred.
- 3+ years' commercial / in industry experience working on production level machine learning focussing on deploying and maintaining real-world applications, ensuring their reliability, scalability, and user satisfaction.
- Proven experience working with remote sensing / imaging data. I.e. Optical (Hyperspectral / Multispectral) SAR, IR, RF, LiDAR, etc…
- Demonstrable experience in machine learning and AI, specifically in developing models for spatial data analysis and computer vision tasks.
- Strong proficiency in Python and relevant frameworks such as PyTorch, Keras, and TensorFlow.
- Experience working with Computer Vision and Vision-Language Models (VLM).
- Familiarity with cloud platforms such as AWS and GCP for AI workloads.
- Excellent problem-solving abilities and the capacity to work effectively both independently and within a team.
If you are interested in this role, please apply with your resume through this site.
Disclaimer
Attis Global Ltd is an equal opportunities employer. No terminology in this advert is intended to discriminate on any of the grounds protected by law, and all qualified applicants will receive consideration for employment without regard to age, sex, race, national origin, religion or belief, disability, pregnancy and maternity, marital status, political affiliation, socio-economic status, sexual orientation, gender, gender identity and expression, and / or gender reassignment. M / F / D / V. We operate as a staffing agency and employment business. More information can be found at attisglobal.com.
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