Eartheye Space

Tenure: Full-time, permanent Location: Trivandrum or Vishakapatnam Job Description: The position of Senior CV/ML engineer at Eartheye Space is a team leader role and is critical to the company’s product offering. This role requires the selected candidate to develop machine learning/deep learning models. Reporting to the head of software, you will work with a team of junior computer vision (CV)/machine learning (ML) engineers. Eartheye Space is a fast-paced organisation, and you will be accountable for the timely delivery of well-performing models. You will also mentor and assist the junior engineers working alongside you. Work Experience: You should have At least ten years of software development and five years of ML/DL model development experience Worked with satellite imagery and have a working knowledge of remote sensing and GIS Hands-on experience with supervised and unsupervised learning methods with expert knowledge in segmentation, classification and detection methods Expert knowledge of Python programming Managed a team size of at least five members doing ML work Knowledge of YOLO, Rekognition, TensorFlow, R-CNN, and other contemporary models Experience working with MLOps pipelines and cloud-based development and deployment Delivered under tight deadlines Worked in an agile environment with constant change Clear communication skills—both spoken and written English Qualification: Bachelor's or Master's in computer science or equivalent degree Offer: Competitive salary and stock award Why join the Eartheye Space team? 1. Access to data and technology: Opportunity to work with every possible sensor modality in Earth observation—imaging and non-imaging—in a cloud environment. 2. Career growth: An exciting category-creating company entering a rapid growth phase, which means many job openings and career growth opportunities for the core team members 3. Employee equity: Early-stage equity and stock options can experience significant value growth in the next rounds of funding and growth 4. Global mobility: With an international client base, there will be transfer opportunities as the company grows internationally 5. Mission and the Journey: Building a high-performing company on the foundation of: (I) Delighted customers, (II) High-performing teams, (III) Innovative products, (IV) Stellar results.

Tenure: Full-time, permanent Location: Trivandrum or Vishakapatnam Job Description The Senior DevMLOps Engineer position at Eartheye Space is critical, given the sophisticated pipelines regularly built and maintained to support product differentiation. Eartheye Space is a fast-paced organisation. You will be accountable for the timely delivery of well-orchestrated and observable pipelines. You will work collaboratively with the software and computer vision/ machine learning engineers. Your expertise includes: 1. Administration of multiple AWS environments 2. DevOps, MLOps pipelines and tooling 3. Strong security administration (DevSecOps) 4. Expert knowledge in IaC and containerised application deployment 5. Expert programming in Python 6. Database administration is a plus Work experience and expectations You should have: At least five years of relevant experience. Please don't apply if you don't have the required experience; we won't get in touch with you. At least 3 years of handling mission-critical applications. By our requirement, 99.99% uptime. Worked in a micro-release environment. By our requirement, 2-3 feature releases per week. Must be able to solve complex problems under tight timelines. Highly attentive to details. Research-driven and self-motivated. Ability to work independently and collaboratively. Able to work in an agile environment with constant change. Clear communication skills—both spoken and written English. Qualification : Bachelor's or Master's in computer science or equivalent degree Offer : Competitive salary and stock award Why join the Eartheye Space team? 1. Cutting-edge technology work: The opportunity to work in ground-breaking Earth observation technologies and datasets—imaging and non-imaging—in a cloud environment. 2. Career growth: An exciting category-creating company entering a rapid growth phase, which means many job openings and career growth opportunities for the core team members 3. Employee equity: Early-stage equity and stock options can experience significant value growth in the next rounds of funding and development. 4. Global mobility: With an international client base, the company will have transfer opportunities as it grows internationally. 5. Mission and the Journey: Building a high-performing company on the foundation of: (I) Delighted customers, (II) High-performing teams, (III) Innovative products, (IV) Stellar results.

Tenure: Full-time, permanent Location: Trivandrum or Vishakapatnam The Senior Front-End (Angular) Engineer position at Eartheye Space is an immediate joining opportunity. Eartheye Space is a fast-paced organisation. You will be accountable for the timely delivery of the front-end application requirements of the Eartheye platform. You will work collaboratively with the backend (NodeJS) engineering and computer vision/ machine learning engineers. Your expertise includes: Have worked on Angular 2 in at least three projects You are an expert in UI/UX (responsive) design Expert knowledge in mapping software (Cesium), JS libraries (Leaflet) or similar Highly experienced in working with APIs Worked on a high-performance, scalable internet or enterprise application Worked in the AWS cloud environment Work experience and expectations You should have: At least five years of Angular experience. Please don't apply if you don't have the required experience; we won't get in touch with you. Experience with GitHub Copilot or similar Worked in a micro-release environment. By our requirement, 2-3 feature releases per week. Must be able to solve complex problems under tight timelines. Highly attentive to details. Research-driven and self-motivated. Ability to work independently and collaboratively. Able to work in an agile environment with constant change. Clear communication skills—both spoken and written English. Qualification: Bachelor's or Master's in computer science or equivalent degree Offer: Competitive salary and stock award Why join the Eartheye Space team? 1. Cutting-edge technology work: The opportunity to work in ground-breaking Earth observation technologies and datasets—imaging and non-imaging—in a cloud environment. 2. Career growth: An exciting category-creating company entering a rapid growth phase, which means many job openings and career growth opportunities for the core team members 3. Employee equity: Early-stage equity and stock options can experience significant value growth in the next rounds of funding and development. 4. Global mobility: With an international client base, the company will have transfer opportunities as it grows internationally. 5. Mission and the Journey: Building a high-performing company on the foundation of: (I) Delighted customers, (II) High-performing teams, (III) Innovative products, (IV) Stellar results.

Tenure: full-time, permanent Location: work from the office, Trivandrum The Senior Back-End (Node.js) Engineer position at Eartheye Space is an immediate joining opportunity. Eartheye Space is a fast-paced organisation. You will be accountable for the timely delivery of the back-end application requirements of the Eartheye platform. You will work collaboratively with the front-end (Angular) and computer vision/ machine learning engineers. Your expertise includes: Have worked on Node.js in at least three projects/ products You are an expert in APIs Worked in the AWS or equivalent cloud environment Have worked in a containerised application environment You have expert knowledge of NoSQL databases such as MongoDB Worked on a high-performance, scalable internet or enterprise application Work experience and expectations You should have: At least five years of Node.js experience. Please don't apply if you don't have the required experience; we won't get in touch with you. Experience using GenAI. Worked in a micro-release environment. By our cadence, 2-3 feature releases per week. Must be able to solve complex problems under tight timelines. Highly attentive to detail. Research-driven and self-motivated. Ability to work independently and collaboratively. Able to work in an agile environment with constant change. Clear communication skills—both spoken and written English. Qualification: Bachelor's or Master's in computer science or equivalent degree Offer: competitive salary and stock awards Why join the Eartheye Space team? 1. Cutting-edge technology work: an opportunity to work in groundbreaking Earth observation technologies and datasets—imaging and non-imaging—in a cloud environment. 2. Career growth: An exciting category-creating company entering a rapid growth phase, which means many job openings and career growth opportunities for the core team members 3. Employee equity: Early-stage equity and stock options can experience significant value growth in the next rounds of funding and development. 4. Global mobility: With an international client base, the company will have transfer opportunities as it grows internationally. 5. Mission and the Journey: Building a high-performing company on the foundation of: (I) delighted customers, (II) high-performing teams, (III) innovative products, (IV) stellar results.

Tenure: full-time, permanent Location: work from office, Trivandrum Eartheye Space is a fast-paced space-tech company known for its situational awareness offerings. You are responsible for the research and development, productisation, and timely delivery of the Eartheye platform's computer vision (CV)/machine learning (ML) model requirements. This geospatial AI engineer role is critical to the company's Feed (use cases) offerings. You will work collaboratively with the platform engineers. Your expertise includes: CV/ML model development for deployment at scale Remote sensing Worked in the AWS or equivalent cloud environment Object detection, feature extraction, and change detection Working knowledge in one or more of the following: multispectral, hyperspectral, SAR, or thermal data Work experience and expectations You should have: At least five years of geospatial AI model development experience. Please don't apply if you don't have the required experience; we won't get in touch with you. Worked with satellite data, especially satellite imagery. Hands-on experience with supervised and unsupervised learning with expert knowledge in segmentation, classification and object detection methods. Expert knowledge of Python programming. Experience working with foundational models and GenAI. Experience building MLOps pipelines and cloud-based development and deployment. Worked in a fast-paced environment. By our cadence, 1-2 feeds a month. Must be able to solve complex problems under tight timelines. Highly attentive to detail. Research-driven and self-motivated. Ability to work independently and collaboratively. Able to work in an agile environment with constant change. Clear communication skills—both spoken and written English. Qualification: Bachelor's, Master's or PhD in computer science or equivalent. Offer: competitive salary and stock awards. Why join the Eartheye Space team? 1. Cutting-edge technology work: an opportunity to work in groundbreaking Earth observation technologies and datasets—imaging and non-imaging—in a cloud environment. 2. Career growth: An exciting category-creating company entering a rapid growth phase, which means many job openings and career growth opportunities for the core team members 3. Employee equity: Early-stage equity and stock options can experience significant value growth in the next rounds of funding and development. 4. Global mobility: With an international client base, the company will have transfer opportunities as it grows internationally. 5. Mission and the Journey: Building a high-performing company on the foundation of: (I) delighted customers, (II) high-performing teams, (III) innovative products, (IV) stellar results.

As a Senior Back-End (Node.js) Engineer at Eartheye Space, you will have the opportunity to join a fast-paced organization with a focus on timely delivery of back-end application requirements for the Eartheye platform. Your role will involve close collaboration with front-end (Angular) as well as computer vision and machine learning engineers. Your expertise should encompass a proven track record of working on Node.js in multiple projects, proficiency in APIs, experience with GDAL, Rasterio, GeoPandas or similar tools, familiarity with AWS or equivalent cloud environments, and expertise in NoSQL databases like MongoDB. Additionally, you should have experience working on high-performance, scalable internet or enterprise applications within a containerized application environment. In terms of work experience, we expect you to have a minimum of five years of Node.js experience and proficiency in using GenAI. You should be comfortable working in a micro-release environment with frequent feature releases, possess problem-solving skills under tight timelines, and demonstrate a keen attention to detail. A research-driven, self-motivated approach with the ability to work both independently and collaboratively in an agile setting with excellent communication skills in English is essential. To qualify for this role, you should hold a Bachelor's or Master's degree in computer science or equivalent. In return, we offer a competitive salary and stock awards. Joining the Eartheye Space team presents exciting opportunities to engage with cutting-edge Earth observation technologies and datasets in a cloud environment, paving the way for career growth in a rapidly expanding company. The potential for early-stage equity and stock options to grow in value, along with global mobility opportunities as the company expands internationally, makes this a compelling journey to be a part of. If you are seeking to contribute to a high-performing company focused on delighted customers, high-performing teams, innovative products, and stellar results, Eartheye Space offers a dynamic environment where your skills and expertise can make a significant impact.,

Eartheye Space is a fast-paced space-tech company renowned for its situational awareness solutions. As the QA Team Lead, you will play a crucial role in ensuring the quality of software released to production. This position involves leading a highly skilled QA team and collaborating closely with Eartheye platform engineers and AI/ML engineers. Your responsibilities will include end-to-end system test automation covering front end, backend, and external APIs. You should be adept at utilizing test automation tools like Mockoon, Playwright, Supertest, or their equivalents in TypeScript and JavaScript environments. Additionally, knowledge of cloud environments such as AWS and CI/CD platforms like Jenkins or GitHub Actions is essential. To excel in this role, you should have a minimum of five years of experience in automating unit, integration, and regression testing. Expertise in scripting, experience in automated testing of multiple SaaS products, and familiarity with agile/sprint methodologies are required. Ability to thrive in a fast-paced environment with frequent releases and solve complex problems under tight deadlines is crucial. You should possess strong attention to detail, be research-driven, self-motivated, and demonstrate clear communication skills in English. A Bachelor's or Master's degree in computer science or equivalent is preferred. The company offers a competitive salary and stock awards to the right candidate. Joining the Eartheye Space team presents several compelling reasons: 1. Cutting-edge Technology: Work on groundbreaking Earth observation technologies and datasets in a cloud environment. 2. Career Growth: Be part of a category-creating company experiencing rapid growth, providing numerous job openings and career advancement opportunities. 3. Employee Equity: Early-stage equity and stock options offer the potential for significant value growth in future rounds of funding. 4. Global Mobility: With an international client base, there will be opportunities for transfers as the company expands globally. 5. Mission and Journey: Contribute to building a high-performing company focused on delighted customers, high-performing teams, innovative products, and stellar results.,