Greenscreens.ai

Greenscreens.ai is an innovative technology company focused on artificial intelligence solutions, currently seeking skilled professionals in Python engineering, demand generation, and machine learning.

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πŸ“ Lithuania, Serbia, Poland, Georgia, Kazakhstan

πŸ” Logistics technology

  • Python expertise with preferable experience in data processing applications and machine learning pipelines.
  • Strong proficiency in SQL and relational databases, preferably PostgreSQL, with experience in query optimization.
  • Knowledge of CI/CD pipelines and version control systems.
  • Experience with containerization and orchestration tools like Docker and Kubernetes.
  • Proficient in Python package management and understanding of Python GIL.
  • Highly desirable skills include machine learning libraries and familiarity with AWS, S3, Amazon Redshift, ClickHouse.
  • Additional technical skills such as Connexion, aiohttp, FastAPI, Flask, Cython, Numba, Elastic, Grafana, Prometheus.
  • Basics of Java or any language with strong typing.
  • Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field.
  • Design and maintain high-quality Python code for data analysis, machine learning model development and deployment.
  • Collaborate with data scientists and ML engineers to optimize data management and model deployment strategies.
  • Enhance data processing and machine learning pipelines to improve efficiency, scalability and monitoring capabilities.
  • Implement unit testing, integration testing, and Test-Driven Development practices to ensure the reliability and stability of our codebase.
  • Improve monitoring of ML microservices to detect and address performance issues proactively.

AWSDockerPostgreSQLPythonSQLData AnalysisFlaskKubernetesMachine LearningNumpyFastAPIGrafanaPrometheusPandasCI/CD

Posted 4 months ago
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πŸ“ Lithuania, Serbia, Kazakhstan, Armenia, Georgia

🧭 Full-Time

πŸ” Logistics Service Provider

  • 5+ years of professional Java development experience.
  • Proficient in the Spring Boot ecosystem for building microservices.
  • Solid understanding of microservices architecture and distributed systems patterns.
  • Strong proficiency in SQL and relational databases, preferably PostgreSQL.
  • Understanding of REST architecture and API development.
  • Experience with Git and familiarity with CI/CD practices.
  • Knowledge of monitoring and logging tools like Prometheus, Grafana, and the ELK stack.
  • Strong skills in writing unit and integration tests.
  • Experience with Docker and Kubernetes.
  • Experience with AWS or similar cloud services.
  • Proficiency in both English and Russian.
  • Experience with message brokers and familiarity with NoSQL databases.
  • Knowledge of agile software development methodologies.
  • Soft skills: strong problem-solving, excellent communication, teamwork, initiative, and eagerness to learn.
  • Design, build, and maintain efficient, reusable, and reliable Java code.
  • Develop and maintain Java-based applications and services.
  • Participate in the full software development lifecycle, including design, coding, testing, and deployment.
  • Optimize application performance and scalability.
  • Collaborate with team members, including front-end developers and cross-functional teams, to define and implement new features and integrate user-facing elements with server-side logic.
  • Write unit and integration tests to ensure code quality.
  • Troubleshoot and resolve software defects and issues.
  • Identify and resolve bottlenecks and bugs in existing systems.
  • Contribute to the design of application and database architecture.
  • Stay updated with emerging technologies and best practices.
  • Participate in code reviews and mentor junior developers to enhance team capabilities.

AWSDockerPostgreSQLSoftware DevelopmentSQLAgileElasticSearchGitJavaKafkaKibanaKubernetesMongoDBRabbitmqSpringSpring BootCassandraClickhouseGrafanaPrometheusREST APIRedisCI/CDMicroservices

Posted 5 months ago
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πŸ”₯ Senior ML Engineer
Posted 6 months ago

πŸ“ Lithuania, Serbia, Georgia, Kazakhstan, Armenia

πŸ” Logistics technology

  • 3+ years of experience as a Data Scientist, ML Engineer, or in a similar role.
  • Proficiency in Python, SQL, and Git.
  • Experience with neural networks, time series, gradient boosting, and random forest.
  • Strong foundation in linear algebra, probability, statistics, and optimization.
  • Upper-intermediate and advanced proficiency in both English and Russian.
  • Desirable technical skills include unit testing, AWS S3, Docker, Kubernetes, experience in logistics, engagement with industry articles and research papers, participation in competitions (like Kaggle), hyperparameter tuning methods, and anomaly detection.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field.
  • Research and identify new business features to enhance prediction accuracy.
  • Enhance Rate Engine through algorithm manipulation, feature experimentation, and research to optimize data filtering and predictive model quality.
  • Monitor and maintain deployed ML models, ensuring accuracy and efficiency.
  • Automate ML pipelines and manage the entire model lifecycle.
  • Develop complex business logic in Python to integrate models into a company's processes.
  • Scale and optimize the performance of existing models (RPS, memory consumption).
  • The primary focus of your work will be on tabular data.

PythonSQLGit

Posted 6 months ago
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πŸ“ Lithuania, Georgia, Serbia, Kazakhstan, Poland

πŸ” Logistics technology

  • Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field.
  • Years of Python development experience, preferably in data-intensive applications.
  • Experience in data processing applications and machine learning pipelines.
  • Knowledge of NumPy, Pandas, SQL, CI/CD pipelines, version control systems, and Docker.
  • Fluency in Russian (C1) and English (B2).
  • Highly desirable experience with machine learning libraries, AWS S3, Amazon Redshift, PostgreSQL, and frameworks like FastAPI or Flask.
  • Design and maintain high-quality Python code for data analysis, machine learning model development and deployment.
  • Collaborate with data scientists and ML engineers to optimize data management and model deployment strategies.
  • Enhance data processing and machine learning pipelines to improve efficiency, scalability and monitoring capabilities.
  • Implement unit testing, integration testing, and Test-Driven Development practices to ensure the reliability and stability of our codebase.
  • Improve monitoring of ML microservices to detect and address performance issues proactively.

DockerPostgreSQLPythonSQLData AnalysisFlaskKubernetesMachine LearningNumpyFastAPIGrafanaPandasCollaborationCI/CD

Posted 7 months ago
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