Associate Tech Lead Front-End Engineer React
Associate Tech Lead Front-End Engineer React
Posted on :
07-03-2025
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1 Vacancy
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Job Description
- Technical Leadership: Oversee frontend development initiatives conduct code reviews and establish best practices for building scalable high performance applications.
- Project Oversight: Lead the design and implementation of core UI components and ensure consistency across the platform.
- Collaboration: Work with UX/UI designers backend engineers and product teams to translate requirements into innovative solutions.
- Mentorship: Coach and guide junior frontend developers fostering a culture of continuous learning and technical excellence.
- Innovation: Stay current with emerging frontend trends and tools and drive their adoption to improve development processes and user experience.
Requirements
- 6 years of professional frontend development experience with a strong command of React JavaScript (ES6 HTML5 and CSS3.
- Proven experience in a technical lead or mentoring role with a track record of guiding teams toward successful project delivery.
- Deep understanding of componentbased architecture state management libraries (e.g.Redux MobX) and modern CSS frameworks such as Bootstrap Tailwind orMaterialUI.
- Experience integrating RESTful APIs and GraphQL with proficiency in tooling (Web packSER Babel Git etc..
- Excellent problemsolving skills with a strong focus on performance modularity and maintainability.
- Strong communication skills in English both written and verbal.
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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