EchoGlobal

Company Description

#1 talent intelligence platform and global leader in recruiting software which serves over 125,000 recruiters around the world.

Project Description

You will work across backend, frontend, browser extension, and mobile surfaces to deliver real, user-facing impact. You will integrate AI/ML-powered features into workflows, own complex integrations, and help evolve a product used at scale. This role is product-focused, integration-heavy, and well suited for engineers who enjoy owning features end-to-end.

Requirments

• At least 7 years of experience as a full-stack engineer working with Rails and JS.
• Comfort building and consuming APIs, including GraphQL.
• Experience with complex integrations such as communications, payments, or third-party services.
• Solid understanding of relational databases and search systems.
• Product mindset with attention to UX, performance, and reliability.
• Ability to work effectively in an AI-augmented development environment.
• Excellent communication, analytical, and problem-solving skills.
• Advanced level of English.

Responsibilities

• Design and implement full-stack features using Ruby on Rails, GraphQL, and TypeScript/React.
• Integrate ML outputs into UI, search, and automations, working closely with AI and data teams.
• Build and maintain APIs consumed by web, mobile, and extension clients.
• Own feature quality including UX guardrails, edge cases, and observability.
• Contribute to scalable architecture across multi-region Kubernetes environments.
• Participate in code reviews, technical discussions, and iterative product delivery.
• Daily use of modern AI coding tools such as Cursor and Claude.

Technical Stack

Backend

• Ruby on Rails with Sorbet typing
• GraphQL and JSON APIs
• Background jobs, authentication, billing with Stripe
• Integrations with Google, Twilio, Intercom, Mailgun
• Postgres (PostGIS, pgvector), Redis, Elasticsearch

Frontend

• TypeScript and React
• Redux, Router, Relay
• MUI, Storybook
• Data visualization with Plotly or Recharts
• Mapping with Leaflet

Mobile

• React Native app using the same API surface as the web product

Infrastructure and DevX

• Kubernetes at scale, multi-region and multi-provider
• Strong observability with logging, metrics, and tracing
• Docker and devcontainers
• Local Minio S3, Postgres, Elasticsearch bootstrap
• CI-friendly workflows with RSpec or Minitest, Rubocop, Sorbet, Prettier

Working conditions

• Mon — Fri, 8h/day, overlap with US (CST) at least 4 hours.
   

Interview stages:

1. HR interview with EchoGlobal
2. Coding test (you are presented with a link to do a live-coding test)
3. Technical interview #1 
4. Technical interview #2

Company Description

Agri/fintech platform that helps financial institutions and agricultural stakeholders make smarter lending and farm management decisions by turning real-time crop and field data into actionable insights. The platform combines advanced crop monitoring, expert agronomic knowledge, and data analytics to reduce risk, improve productivity, and enhance access to finance in agricultural markets, particularly in emerging regions.

Project Description

We are developing a Computer Vision-based orchard analytics system that uses 15 cm RGB satellite imagery (Vantor) to segment perennial orchards into tree canopies, crop rows, and in-row spaces. The generated segmentation data is transformed into GIS-ready polygons and agronomic metrics such as row orientation, spacing and length, canopy coverage, row and tree counts, and missing-tree detection. The solution is being built as an agrifintech MVP with the objective of supporting scalable global deployment.

Role Overview

We are looking for a Computer Vision Specialist / Data Scientisе to design, train, and deploy a semantic segmentation model for orchard structure detection from high-resolution satellite imagery.

This is a hands-on role focused on:

• Semantic segmentation modeling
• Large-scale geospatial raster processing
• Model experimentation and optimization
• Integration with a GIS analytics pipeline

You will work closely with the Technical Lead (GIS & Remote Sensing), Labeling Specialist, and Backend/DevOps support.

Required Qualifications

• 2+ years of experience in Computer Vision.
• Strong proficiency in PyTorch (preferred) or TensorFlow.
• Hands-on experience with semantic segmentation architectures.
• Experience working with high-resolution imagery (satellite, drone, or aerial).
• Experience with semi-supervised learning.
• Experience with geospatial data. Familiarity with geospatial coordinate systems and projections.

Technical Environment

• PyTorch + segmentation frameworks
• GDAL / Rasterio
• LabelMe for annotation
• PostGIS for spatial storage
• Cloud GPU infrastructure (RTX 3090 / T4 / A100 class)
• Satellite imagery (15 cm RGB Vantor)

Key Responsibilities

Model Development

• Design and implement semantic segmentation models (DeepLabv3+, U-Net or similar).
• Train models on tiled 15 cm RGB satellite imagery (512×512 px tiles).
• Implement augmentation strategies and loss functions for structured agricultural scenes.
• Run hyperparameter tuning and experiment tracking.
• Improve model performance using pseudo-labeling and semi-supervised techniques.

Data & Pipeline Engineering

• Build preprocessing pipelines for raster tiling and dataset preparation.
• Work with GDAL / Rasterio outputs and georeferenced datasets.
• Implement sliding-window inference over large mosaics.
• Optimize inference performance for large-area batch processing.

Geospatial Integration

• Support mask post-processing (morphology, skeletonization, polygon extraction).
• Collaborate on the derivation of row centerlines and structural metrics.
• Prepare outputs compatible with GeoTIFF, GeoJSON, and PostGIS.

Evaluation & Validation

• Define and track segmentation metrics (IoU, precision/recall).
• Perform structured validation at the field and row level.
• Work with agronomic stakeholders to validate meaningful outputs.

What Success Looks Like (MVP)

• Stable segmentation of orchard row structure across Uzbekistan pilot region.
• Accurate row centerline extraction.
• Reliable row-level agronomic metrics.

Inference pipeline scalable to large areas with minimal manual intervention.    

Working conditions

Mon – Fri 9-5 (Uzbekistan time)

Description:

We are looking for someone to join our team who is able and willing to develop a cold calling approach at EchoGlobal. You will speak with native English speakers in the USA, the UK, and Europe via cold calls. To be honest, we have not done this before. This opportunity is therefore suitable both for experienced candidates and for those with less experience who are eager to explore new ways of reaching new clients.

Our primary service is IT staff augmentation which is basically a type of recruitment for tech-oriented firms around the globe, additionally we offer traditional recruitment services. However, the market is currently very tough, so successfully securing even a few clients per year can be considered a very strong result.

Who are you?

• Comfortable and confident on the phone - you enjoy pitching and having conversations via phone.
• Target-driven and motivated by results. You consider every “No” as one step closer to a “Yes”.
• You analyze the outcome and change your approach when you see the need. 
• You like to research and test things - you use different opening lines and compare them to get the best results.

You have

• 1-2 years’ experience in outbound sales, BDR, SDR or business development of any kind in an IT related field.
• English level at least C1 (verbal predominantly).
• A tech-savvy mindset - it's not about writing code but about having a passion for technology, software, and automation.

What you will do

• Research and build targeted lead lists.
• Conduct outbound B2B sales calls, maintaining high daily call volumes (50 calls/day).
• Follow up with interested prospects via email or LinkedIn (if needed).
• Accurately enter, update and maintain all relevant information in Zoho CRM.
• Track calls analytics in Google Sheet and conversations in calling tools to analyze outcomes and performance.
• Participate in regular internal meetings (initially daily, later weekly).

Our values

1. Honesty & Integrity.
2. Responsibility.
3. Perseverance.
4. Ambition.
5. Initiative.
6. Cooperation & Teamwork.

Interviewing Stages

1. Test Task:

Record an audio which simulates a cold call that lasts up to 60 seconds. In this call, you must start with an opening line that grabs attention. During the call, imagine the prospect says, "OK, go ahead", and respond to it. You must also briefly explain our business service and value. Before ending the call, imagine the prospect says, "Sorry, we are not interested" and respond to that as well.

We guarantee feedback to everyone who sends us a link to the recording.

2. Interview with the CEO/COO.
3. Reference Check and Job Offer.