Smartan.ai

Key Responsibilities:

• Develop and maintain the frontend components of the Camera AI and gym & trainer management software.
• Collaborate with UI/UX designers to translate design concepts into functional, responsive web applications.
• Ensure the applications are optimized for performance, scalability, and cross-browser compatibility.
• Implement user interfaces that provide a seamless experience, including real-time data visualization, interactive elements, and responsive design.
• Work closely with backend engineers to integrate APIs and ensure smooth communication between frontend and backend systems.
• Conduct thorough testing and debugging to ensure the stability and performance of the applications.
• Stay up-to-date with the latest trends and best practices in frontend development and apply them to enhance our products.

Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 5+ years of experience in frontend development.
• Proficiency in HTML, CSS, JavaScript, and modern frontend frameworks such as React, Angular, or Vue.js.
• Experience with responsive design principles and front-end optimization techniques.
• Strong understanding of RESTful API integration.
• Familiarity with version control systems (e.g., Git).
• Ability to write clean, maintainable, and efficient code.
• Excellent problem-solving skills and attention to detail.
• Ability to work collaboratively in a fast-paced, dynamic environment.

Preferred Qualifications:

• Experience working with WebRTC or other real-time communication technologies.
• Familiarity with frontend testing frameworks and tools (e.g., Jest, Cypress).
• Knowledge of UI/UX best practices.
• Experience with Agile development methodologies.

Role Overview:

We are seeking a highly skilled and motivated Data Scientist to join our growing team. The ideal candidate will be responsible for developing and deploying machine learning models from scratch to production level, focusing on building robust data-driven products. You will work closely with software engineers, product managers, and other stakeholders to ensure our AI-driven solutions meet the needs of our users and align with the company's strategic goals.

Key Responsibilities:

• Develop, implement, and optimize machine learning models and algorithms to support product development.
• Work on the end-to-end lifecycle of data science projects, including data collection, preprocessing, model training, evaluation, and deployment.
• Collaborate with cross-functional teams to define data requirements and product taxonomy.
• Design and build scalable data pipelines and systems to support real-time data processing and analysis.
• Ensure the accuracy and quality of data used for modeling and analytics.
• Monitor and evaluate the performance of deployed models, making necessary adjustments to maintain optimal results.
• Implement best practices for data governance, privacy, and security.
• Document processes, methodologies, and technical solutions to maintain transparency and reproducibility.

Qualifications:

• Bachelor's or Master's degree in Data Science, Computer Science, Engineering, or a related field.
• 5+ years of experience in data science, machine learning, or a related field, with a track record of developing and deploying products from scratch to production.
• Strong programming skills in Python and experience with data analysis and machine learning libraries (e.g., Pandas, NumPy, TensorFlow, PyTorch).
• Experience with cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker).
• Proficiency in building and optimizing data pipelines, ETL processes, and data storage solutions.
• Hands-on experience with data visualization tools and techniques.
• Strong understanding of statistics, data analysis, and machine learning concepts.
• Excellent problem-solving skills and attention to detail.
• Ability to work collaboratively in a fast-paced, dynamic environment.

Preferred Qualifications:

• Knowledge of microservices architecture and RESTful APIs.
• Familiarity with Agile development methodologies.
• Experience in building taxonomy for data products.
• Strong communication skills and the ability to explain complex technical concepts to non-technical stakeholders.