Front-end Engineer - React
Front-end Engineer - React
Posted on :
07-03-2025
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1 Vacancy
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Job Description
- Develop and maintain the front end of our platform using React and other modern technologies.
- Follow coding best practices to maintain code quality modularity and scalability.
- Ensure consistent functionality responsiveness and performance.
- Collaborate with crossfunctional teams.
- Stay uptodate with the latest technologies and trends continuously improving your skills and knowledge.
Requirements
- 1 years of professional experience as a Frontend Engineer or in a similar role.
- Proficient with React and modern frontend technologies including HTML5 CSS3 and preprocessing platforms like Sass or LESS.
- Strong expertise in JavaScript (ES6 and its core principles.
- Familiarity with frameworks such as Bootstrap Tailwind and MaterialUI (MUI).
- Knowledge of state management libraries like Redux and MobX.
- Experience integrating RESTful APIs and GraphQL.
- Proficient with development tools such as Web pack Babel Gulp NPM and Git.
- Understanding Next.js or Remix is a plus.
- Professional level communication skills in English both written and verbal.
- Strong problemsolving skills and attention to detail.
- Demonstrated ability to work effectively in a collaborative team environment.
- A continuous learning mindset with a keen interest in the latest technologies and trends.
6+ years of experience in a Senior ML Ops role or a similar position, with a proven track record of success in deploying ML solutions at scale. Advanced expertise in machine learning model deployment, monitoring, and lifecycle management. Proficiency in programming languages such as Python, Java, or Scala, with strong scripting skills. Hands-on experience with cloud platforms (e.g., AWS, Azure, Google Cloud) for managing and deploying ML workflows. Deep understanding of containerization and orchestration tools (e.g., Docker, Kubernetes) and their application in ML Ops. Experience with data engineering and processing tools, including Apache Spark, Hadoop, and Airflow. Strong knowledge of ML Ops frameworks like MLflow, Kubeflow, or TFX, and familiarity with monitoring tools like Prometheus or Grafana. Proven ability to lead and manage teams, with at least 2 years of experience in a leadership role. Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders. Entrepreneurial mindset with the ability to innovate and adapt to evolving business needs. Preferred Skills Knowledge of compliance and regulatory standards related to data privacy and AI ethics.
Employment Type
Full Time
Key Skills
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