We’re GoSolve – a global company specialized in transforming our customers’ vision into digital applications. We love building large-scale cloud-based digital products and have the necessary skills to make it happen. Join us and work with the top tech talents from all over the globe in a driven, proactive environment. Do you wish to join a stable product development project? You will be a perfect fit!
Just GO for it.

Currently, we are looking for a Machine Learning Engineer who will help our customer build and enhance cutting-edge machine learning applications.

Tech stack:

• Python
• Scala
• Golang
• Apache Spark (MLlib)
• AWS
• GCP
• Azure
• SQL
• ETL processes
• Deep learning frameworks

Responsibilities:

• Develop and implement analytical capabilities and applications.
• Create and optimize machine learning (deep learning) models and pipelines.
• Build production-quality code and manage the code base for scalability and maintenance.
• Collaborate with machine learning engineers to enhance infrastructure reliability and efficiency.
• Partner with Data Scientists and Analysts to transition prototypes/MVPs to production-ready solutions.
• Contribute to the development of personalization services, microservice endpoints, and cross-platform data products/services for Android, iOS, Web/Mobile Web.

Skills & requirements:

• Bachelor’s degree in Machine Learning, Computer Science, MIS, Mathematics, Operations Research, or related field.
• 1+ years of professional experience in developing machine learning systems.
• Proven experience in machine learning systems/applications on cloud platforms like AWS, GCP, or Azure.
• Strong programming skills in Python, Scala, or Golang.
• Hands-on experience with Apache Spark (SQL, MLlib, Streaming).
• Proficiency in at least four of the following: factorization machines/SVM, k-NN, Naive Bayes, Clustering, Regression (OLS, Logistic, MNL), Decision Forests/Trees/Classifiers, Linear and Nonlinear Optimization.
• Familiarity with data engineering practices across modern data lakes and traditional data warehouse ecosystems for structured, semi-structured, and unstructured data.
• Advanced SQL skills and strong analytical and data modeling capabilities.
• Knowledge of data pipelines and ETL processes.
• Strong interpersonal, presentation, and communication skills.
• Experience with Agile development methodologies is preferred.

Benefits:

• Be a part of the team that works for the most influential global brands.
• Opportunities to create industry-defining services using the latest technologies.
• Responsible position – leverage your knowledge beyond simple coding.
• Advise customers on optimal solutions – we trust your expertise!
• No rush! Work at your own pace in a quality-over-quantity environment.
• Collaborate with highly experienced professionals.
• Numerous opportunities for professional growth.
• Full-time remote work from anywhere in the world.
• Monthly budget for social benefits – tailored to your location and lifestyle.
• 20 days of paid time off.
• Annual training budget.

GDPR DATA PRIVACY NOTICE
In accordance with Article 13(1) and (2) of the GDPR, we inform you that: 1. The controller of your personal data is the entity indicated in the job offer. 2. We will process your personal data for the purpose of conducting the recruitment process for the position indicated in the job offer, and if you have given consent in this regard, also for the purpose of conducting future recruitment processes. 3. You have the right to: access your data and request its rectification, erasure, restriction of processing, the right to data portability, and the right to object to the processing of your data. 4. We do not engage in automated decision-making or profiling. 5. For more information on how we process your personal data, please refer to the full text of the Information Clause for Job Candidates.