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Machine Learning Engineer (Roofing Technology sphere)

fully flexible
Remote: 
Full Remote
Contract: 
Salary: 
31 - 31K yearly
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

4+ years' experience in machine learning, Proficiency in TensorFlow and/or PyTorch, Understanding of computer vision techniques, Experience with Python and relevant libraries, Familiarity with cloud platforms like AWS or Azure.

Key responsabilities:

  • Participate in technical design sessions
  • Collaborate with stakeholders on project challenges
  • Design/train deep learning models for classification
  • Oversee image annotation process
  • Develop/evaluate metrics for model performance
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Coherent Solutions Lithuania Scaleup https://www.coherentsolutions.lt/
51 - 200 Employees
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Job description

Coherent Solutions is a digital product engineering company focused on empowering business success. Our global team of 2000+ talented professionals collaborate seamlessly to deliver innovative solutions that drive measurable business impact. Headquartered in Minneapolis, USA, the company’s core competencies across 10 locations worldwide include product software development, IT consulting, data and analytics, machine learning, mobile app development, DevOps, Salesforce, and more.


We grow a team of advisors, not just order takers, and strive to make the company a place for career growth and opportunities. If you want to grow your core competencies, share your passion and be sure that every contribution is evaluated, we are on the same page.


Company Background

The customer is a forward-thinking startup in the roofing industry, dedicated to transforming traditional practices through innovative technology. They aim to revolutionize how roofing companies handle roof inspections, particularly focusing on automating the process of identifying roof brands and models, especially in cases of damage. Their mission is to simplify and expedite the assessment of roof damage by integrating advanced AI technology, ultimately streamlining operations for roofing professionals and improving accuracy in roof evaluations.


Project Description

The Project Aims to develop an MVP that enhances roofing companies' efficiency in assessing roof damage and identifying shingle types. It includes

  • Mobile Application: A cross-platform app for field use, allowing users to capture and analyze photos of roof shingles to quickly identify the roof's brand and model.
  • Web Application: A platform with various user roles for managing accounts, subscriptions, and company settings, serving as the backend for the detection process.
  • Machine Learning Engine: A core component trained on client-provided data to detect and classify shingles, integrated into both the mobile and web applications for accurate identification.


Technologies

  • TensorFlow (including Keras)
  • PyTorch
  • Computer Vision Techniques
  • Image Processing
  • Python
  • OpenCV
  • Pillow
  • AWS
  • Azure
  • Data Preprocessing
  • Feature Engineering
  • Model Evaluation


What You'll Do

  • Participate in technical design sessions to identify/document technical solutions;
  • Collaborate with stakeholders to understand the specific computer vision challenges the project aims to solve;
  • Design/train deep learning models for classification and object detection;
  • Configure AWS services to deploy and manage computer vision models;
  • Communicate technical project requirements, progress, and outcomes to non-technical stakeholders, ensuring clear understanding and alignment;
  • Oversee the image annotation process, ensuring high quality annotations critical to model training;
  • Develop and implement evaluation metrics to assess the performance of object detection and segmentation models;
  • Conduct thorough testing to ensure models meet the required standards;


Job Requirements

  • 4+ years' experience in machine learning, computer vision, and software development;
  • Proficiency in Deep Learning frameworks such as TensorFlow (including Keras) and/or PyTorch (PyTorch is a preference);
  • Understanding of computer vision techniques and image processing;
  • Experience with Python and relevant libraries (e.g., OpenCV, Pillow);
  • Experience with cloud platforms (e.g., AWS, Azure);
  • Knowledge of data preprocessing, feature engineering, and model evaluation;
  • Possession of an AWS certification will be a plus;
  • Level of English - from Upper-Intermediate+ (spoken/written);


What Do We Offer

  • You will be rewarded with the salary starting from 2600 EUR gross monthly.
  • Remote work. We respect each employee’s chosen way to work remotely anywhere.
  • "Launch for success" package: premium health insurance, monthly lunch vouchers, telecom services for employees and their family members, and more.
  • Global teams. The working model in the company is based on working in global multicultural departments and gaining experience from the highest-level professionals.
  • International Clients. It is on us to ensure the wide range of Clients you will work with – Innovative start-ups and Fortune 1000 companies in the U.S. and Europe.
  • Professional growth opportunity. We created a professional training center including educational programs for developers of any level and live training sessions.
  • Unique ideas development. Our internal start up incubator, Innovation Sandbox, helps to materialize ideas, receive support on their realization, and win cash prizes.
  • Team spirit. Work in the company is not just about work – team building, celebrations, corporate events, family events and other traditions are an essential part of our culture.
  • And much more Why Coherent Solutions is a company to work with https://www.coherentsolutions.com/.


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Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
EnglishEnglish
Check out the description to know which languages are mandatory.

Other Skills

  • Problem Solving
  • Collaboration

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