Edge Solutions Lab

WHO WE ARE

We are Edge Solutions Lab, a team of engineers with a strong background in product development of edge solutions and data platforms. Our legacy is grounded in the successful execution of the Hivecell product. We're committed to helping companies implement their product strategies and turn data into real, measurable value.

WHO WE ARE LOOKING FOR

We are seeking an experienced Data Scientist to join an exciting project for our client, Flow — a forward-thinking company transforming the way people live, work, and connect. You will work on real-world data challenges at the intersection of edge computing and data platforms, turning complex, large-scale data into models and insights that directly shape Flow's digital ecosystem and drive measurable product value.

KEY RESPONSIBILITIES

• Design, develop, and deploy machine learning models and statistical solutions that address real business problems
• Collaborate with product, engineering, and domain teams to translate requirements into data-driven solutions
• Conduct exploratory data analysis and feature engineering on large, complex datasets
• Build and maintain scalable data pipelines to support model training, evaluation, and inference
• Define and track model performance metrics; monitor models in production and drive continuous improvement
• Communicate findings, methodologies, and results clearly to both technical and non-technical stakeholders

• Contribute to the team's data science best practices, tooling, and documentation

   

WHAT YOU BRING ALONG

• 4+ years of professional experience as a Data Scientist or in a similar role
• Strong proficiency in Python and core data science libraries (pandas, NumPy, scikit-learn, etc.)
• Solid understanding of machine learning algorithms, statistical modeling, and model evaluation techniques
• Experience with deep learning frameworks (TensorFlow or PyTorch) is expected at this level
• Hands-on experience deploying models to production environments (REST APIs, containerization, cloud platforms)
• Proficiency with SQL and working with relational or distributed data stores
• Familiarity with MLOps practices: experiment tracking, model versioning, monitoring (e.g., MLflow, Weights & Biases)
• Experience working with cloud platforms such as AWS, GCP, or Azure
• Practical experience leveraging AI-powered tools (e.g., GitHub Copilot, ChatGPT, or similar) to enhance productivity and accelerate development workflows
• Working knowledge of: graph databases (Memgraph, Neo4j, or similar); edge inference runtimes (ONNX Runtime, llama.cpp, ExecuTorch); gradient boosting frameworks (XGBoost, LightGBM, CatBoost); time-series analysis on IoT or sensor data streams; Snowflake and dbt-based analytics pipelines
• English proficiency at B2 level or higher — able to communicate effectively in a professional setting, both written and spoken

WILL BE A PLUS

• Experience with edge computing or IoT data streams
• Knowledge of time-series analysis and anomaly detection
• Familiarity with data orchestration tools (Airflow, Prefect, or similar)
• Contributions to open-source projects or published research
• Experience in a product-focused or startup environment

SOFT SKILLS

• Strong analytical thinking with a pragmatic, solution-oriented mindset
• Ability to work independently and take ownership of tasks end-to-end
• Clear and concise communication — able to explain complex concepts to non-technical audiences
• Collaborative attitude and comfort working in cross-functional teams
• Intellectual curiosity and a continuous drive to learn and improve
• Comfort with ambiguity and the ability to prioritize effectively in a fast-paced environment

WHO WE ARE

We are Edge Solutions Lab, a team of engineers with a strong background in product development of edge solutions and data platforms. Our legacy is grounded in the successful execution of the Hivecell product. We're committed to helping companies implement their product strategies and turn data into real, measurable value.

WHO WE ARE LOOKING FOR
 

We are looking for a capable BIM Modeler to support large-scale residential developments across the MENA region. The role blends two streams of work: production design documentation — translating design intent into accurate, well-coordinated Revit models and drawing sets — and building-model work, converting as-built documentation into clean, structured models that feed the operational systems our teams and residents rely on.

This is a hands-on role with a modern edge: beyond modeling, you'll help develop AI-assisted workflows so modeling and documentation work scales without scaling headcount. We value people who have pushed AI tools on real CAD/BIM problems — hit walls, iterated, and figured out what works.

You will work from the Lviv office in real-time collaboration with design, engineering, and delivery teams in Saudi Arabia and the US. Lviv is one hour behind KSA, so full working-hours overlap with the MENA team is expected daily.

KEY RESPONSIBILITIES
 

• Produce and maintain accurate, coordinated BIM models and drawing sets (plans, sections, details, schedules) for residential projects in the MENA region
• Convert incoming documentation — PDF, DWG, scans, partial models — into clean, structured Revit models with reliable IFC export, maintaining stable element identifiers and consistent attribution across export cycles
• Keep building models in sync with physical reality as properties are onboarded, renovated, and reconfigured — coordinating with design and onboarding teams to capture changes on the ground
• Integrate FF&E and material specifications into models and drawing sets, ensuring items are correctly coded and tagged
• Coordinate interior and architectural elements with structural and MEP disciplines to keep designs clash-free
• Maintain families, templates, and modeling standards; keep model data clean, consistently structured, and correctly attributed — including curation of models used in automated and ML pipelines
• Extend the model catalog beyond buildings: furniture, FF&E families, and interior layouts, kept consistent with the company SKU and coding conventions
• Ensure drawings comply with applicable local building codes and internal design standards
• Apply and help develop AI-assisted workflows and scripts that speed up repetitive modeling and documentation tasks
• Contribute to quality standards and observability tooling so model correctness can be verified programmatically
• Document workflows and standards, and share knowledge with colleagues so modeling expertise is durable rather than person-dependent
   

WHAT YOU BRING ALONG
 

• Bachelor's degree or diploma in Architecture, Architectural Technology, Engineering, or a related field
• 2–5 years of experience in a professional architecture or engineering organization
• Strong command of Revit — parametric modeling, families, detailing, and dimensioning — plus a working understanding of IFC as an exchange format
• Confident reading and interpreting construction documentation: plans, sections, details, shop drawings, specifications
• Disciplined approach to model attribution and identifier stability: consistent element parameters and stable IDs (e.g., IFC GUIDs) preserved across edits and re-exports, so downstream systems that consume the model survive re-imports without data loss or duplication
• Hands-on experience using AI agents or LLM tooling on CAD/BIM tasks — or a demonstrated track record of persistent, hands-on experimentation in that direction
• Familiarity with document management and revision control processes (Autodesk Construction Cloud / BIM 360 a plus)
• A strong communicator who can work fluidly across design, engineering, and operations teams
• Working proficiency in English for daily real-time collaboration with international teams
• Availability for full working-hours overlap with GMT+3 (Saudi Arabia)

WILL BE A PLUS

• Scripting experience: Python (Revit API / pyRevit / Dynamo) or TypeScript
• ArchiCAD, Rhino/Grasshopper, Navisworks, or Bluebeam experience
• Experience with high-end residential, multifamily, or hospitality projects
• Familiarity with Middle East building codes and delivery standards
• Experience with data pipelines or ML data-preparation workflows
• Software development experience
• Prior experience in a lean or early-stage environment
   

WHO WE ARE LOOKING FOR?

We are seeking a highly skilled Linux Engineer to join our team, working on our innovative edge computing platform. As part of a cross-functional DevOps group, your primary focus will be managing on-premise edge infrastructure, ensuring the reliability of containerized applications, and designing and implementing CI/CD pipelines, while also extending some workloads to AWS as needed (but not required).

The platform currently runs on NVIDIA Jetson Orin and Raspberry Pi 5 devices. We are expanding our supported hardware line, so a core part of this role is researching and evaluating new edge-compute hardware candidates and porting or adapting the platform to run on them — working closely with hardware vendors, product, and engineering stakeholders to make build-vs-buy and platform-fit decisions.
 

KEY RESPONSIBILITIES

1. On-Premise Infrastructure Provisioning & Configuration Management

• Use Ansible to automate the configuration and deployment of servers, networking, and storage.

2. Hardware Platform Research & Enablement 

• Assess and score candidate hardware against a standard set of criteria — compute/GPU capability, expansion options (storage, ethernet, PCIe/M.2, wireless/LTE), carrier board availability, cost, vendor relationship and supply chain risk, architecture (ARM vs. x86), target vertical fit, and third-party licensing constraints.
• Port and adapt the platform to new hardware targets, including OS/kernel bring-up, driver and peripheral enablement, and validation of Nomad/Consul/Ansible workflows on the new devices.

3. Container Orchestration & Deployment

• Use HashiCorp Nomad to deploy and scale containerized applications on on-premise edge nodes.

4. Distributed Storage & Data Management

• Work with a distributed file system (SeaweedFS) to ensure high availability, replication, and fault tolerance.
• Implement best practices for data redundancy, security, and efficient data access.

5. CI/CD Pipeline Development

• Design, implement, and maintain robust GitLab CI/CD pipelines for containerized applications.
• Continuously refine automation workflows for software build, test, and deployment stages.

6. Collaboration & Communication

• Work alongside existing infrastructure, DevOps, and Developer teams to identify areas of process improvement and lead automation initiatives.
   

WHAT YOU BRING ALONG

• Upper-Intermediate English level.
• 10+ years of experience in DevOps, SRE, or infrastructure engineering roles, with a track record of end-to-end project delivery.
• Expert knowledge of Linux systems administration (networking, security, and performance tuning).
• Networking expertise: extensive experience with VPN, SDN, mDNS, and related tools for secure, resilient communication in distributed environments.
• Configuration management experience with Ansible.
• Strong scripting skills in Bash and Python for automation tasks.
• Working knowledge of embedded/single-board and edge-compute hardware (e.g., NVIDIA Jetson, Raspberry Pi) — CPU/GPU/memory sizing, storage and networking expansion, and peripheral bring-up.
• Comfort evaluating hardware across different architectures (ARM, x86) and reasoning about the portability impact of an architecture change.
• Basic understanding of hardware sourcing considerations: carrier board ecosystems, unit/BOM cost trade-offs, vendor relationships, and supply chain risk.
• Hands-on experience with containerization tools (Docker) and orchestration platforms (HashiCorp Nomad preferred, or Kubernetes).
• Practical experience with HashiCorp Consul for service discovery and configuration management, particularly in conjunction with Nomad-based deployments.
• Proven ability to design and implement CI/CD pipelines using tools such as GitLab CI (preferred), Jenkins, or GitHub Actions.
• Familiarity with distributed storage (SeaweedFS preferred, Ceph) and replication strategies for high availability and data redundancy.
• Experience setting up and deploying relational databases (PostgreSQL and cluster configuration for high availability and scalability preferred).
• Ability to work in a hybrid environment: on-site for hardware setup and troubleshooting when needed, and remote for the majority of development work.
• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
   

WILL BE A PLUS

• Networking expertise: Nebula for secure peer-to-peer communication or any other SDN.
• Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK) for performance tracking and alerting at scale.
• Prior hands-on hardware evaluation/selection experience, e.g., benchmarking or qualifying new edge-compute boards for a product line.
• Experience with board bring-up or board support package (BSP) integration on embedded Linux devices.
• MLOps knowledge, including model deployment and lifecycle management at scale.
• IoT experience, particularly in device management, data ingestion, and security considerations.
• Experience deploying and managing workloads in AWS (e.g., EC2, S3, VPC, IAM, ECS/EKS).
• Proficiency with Terraform as an IaC tool to provision and manage both on-premise infrastructure and AWS cloud services.
• Direct experience engaging with hardware vendors/OEMs on partnership, sampling, or supply agreements.
• Certifications in HashiCorp technologies, AWS certifications, or Linux administration.
• Background in large-scale distributed systems or edge computing deployments.
• Basic electronic skills (SPI, I2C), device assembling and soldering.
   

SOFT SKILLS

• Adaptability to rapidly changing requirements and a willingness to explore emerging technologies.
• Excellent problem-solving and communication abilities.
• Curiosity and rigor when researching, benchmarking, and making the case for new hardware options.
• Self-learning.

WHO WE ARE 

We are Edge Solutions Lab, a team of engineers with a strong background in product development of edge solutions and data platforms.

We have a long-term partnership with a customer in the US who is looking to expand their onsite team with talented engineers like you. This is an exciting opportunity to collaborate with industry leaders, work on impactful projects, and contribute to the development of next-generation data analysis technologies for healthcare, biotechnology, and research domains.
 

WHO WE ARE LOOKING FOR
 

We are seeking a highly skilled Full Stack Developer to join our team, working on an innovative bioinformatics platform focused on simplifying the analysis and interpretation of RNA-sequencing data through intuitive web applications and cloud-backed services. In this role, as part of a team, you will be building, modifying, and improving user-facing web applications, implementing REST APIs and back-end business logic, and building data processing workflows that help researchers and scientists explore data, visualize results, and derive actionable insights.
 

KEY RESPONSIBILITIES

• Design customer-facing Web UI, RESTful services, and APIs for a modern bioinformatics analysis platform.
• Design and maintain data processing pipelines to support data processing and analysis workflows.
• Design user interactions on web pages.
• Develop high-performance applications by writing testable, reusable, and efficient code.
• Develop effective SQL and NoSQL data layers by utilizing various databases.
• Develop integrations with third-party services using external APIs.
• Implement effective security protocols, data protection measures, and storage solutions.
• Collaborate with team members and stakeholders on the integration of various parts of the platform.
• Ensure that non-functional requirements such as security, performance, maintainability, scalability, usability, and reliability are considered when architecting solutions.
• Document processes, including database schemas, as well as prepare reports.
   

WHAT YOU BRING ALONG

• At least 6 or more years of working experience in a Full Stack position.
• Strong proficiency in TypeScript, JavaScript ES6+, HTML5, and CSS3.
• Extensive knowledge of ReactJS and Next.js, along with their ecosystem and common frontend development patterns.
• Solid hands-on experience with Node.js and building applications in TypeScript.
• Experience with RESTful architecture.
• Experience with OAuth2-based authentication and authorization flows.
• Proficiency in database design and hands-on experience with SQL, including PostgreSQL.
• Experience with event-driven architecture and messaging middleware (MQTT).
• Familiarity with common software development and management tools such as GitLab CI, Jira, and Confluence.
• Good understanding of common programming paradigms and architectural design patterns.
• Strong interpersonal, analytical, and organizational skills.
• Bachelor's degree in Computer Science, Software Engineering, Information Science, or other related fields.
   

WILL BE A PLUS

• Hands-on experience with containerization tools (Docker) and orchestration platforms (Kubernetes).
• Experience with Airflow and DAG pipeline development.
• Hands-on experience with development of cloud-native applications and utilizing AWS services (S3, ECS/EKS, RDS).
• Hands-on experience with Auth0.
• Experience working with billing providers, preferably Chargebee.
• Familiarity with R and experience working with data-processing or analysis pipelines written in R.
• Experience with Python for backend or data processing tasks.
• Development of IoT applications.
• Experience with testing frameworks.