As a Senior Frontend Technical Specialist, you will be responsible for the technical direction and execution of our frontend development efforts. You will lead a talented team of engineers, fostering a culture of innovation, collaboration, and excellence. This is a hands-on role that requires you to be deeply involved in the entire product development lifecycle, from conceptualization and design to implementation and deployment. Responsibilities Hands-on Development: Architect, build, and maintain high-quality, scalable, and reusable frontend components and systems using React, React Native, JavaScript, and HTML/CSS. Product Development from Scratch: Lead the development of new, innovative frontend products from initial concept to successful launch. Team Leadership: Lead and mentor a small, growing team of frontend engineers, providing technical guidance, code reviews, and career development support. You should currently be in a lead position within your organization. UI/UX Collaboration: Work closely with the product and design teams to translate ideas and wireframes into polished, intuitive, and user-friendly interfaces. Possess the ability to drive UI/UX development even in the absence of clear designs. Technical Vision: Drive the frontend technology roadmap, making key architectural decisions and promoting best practices. Test-Driven Development: Champion and implement test-driven development (TDD) methodologies to ensure the reliability and robustness of our applications. Cross-functional Collaboration: Partner with backend engineers, product managers, and other stakeholders to deliver a seamless and integrated user experience. Clear Communication: Effectively articulate technical concepts and decisions to both technical and non-technical audiences. Requirements Minimum of 5 years of professional experience in frontend development. Proven experience in a leadership role, managing and mentoring a team of engineers. Expert-level proficiency in React, React Native, JavaScript, and HTML5/CSS3 Demonstrable experience in building complex, user-centric frontend applications from the ground up. A strong portfolio showcasing your work and technical capabilities. Solid understanding of UI/UX principles and a keen eye for detail and design. Experience with modern frontend development tools, such as Babel, Webpack, and NPM. Adept in Test-Driven Development (TDD)and a strong advocate for writing clean, maintainable, and well-tested code. Knowledge of unit testing frameworks (e. g., Jest, React Testing Library). Experience with React Native for mobile application development. Familiarity with backend technologies such as Node.js or Python. Experience with CI/CD pipelines and DevOps practices. Contributions to open-source projects. This job was posted by Jayashree Lillu Srinivasan from Infiswift Technologies.
We’re looking for a highly skilled senior engineer with deep Python expertise , a strong foundation in AI/ML and computer vision , and hands-on experience training and deploying machine learning models into production. Please Note: This is a contract-to-hire full-time position — meaning that you would initially join on a contract basis, and based on performance and business needs, there is potential for conversion to a permanent full-time role What You’ll Do: Build and optimize real-time computer vision systems for detection, classification, segmentation, and multi-object tracking Train, fine-tune, and deploy deep learning models (e.g., CNNs, RNNs, Mask-RCNN, SSD, EfficientDet) Write and maintain robust, scalable, production-quality Python code Continuously improve existing in-house models through evaluation, retraining, and performance tuning Develop tools to analyze large datasets and measure model and system performance Work across multi-camera video and audio inputs in embedded and real-time environments What We’re Looking For: 3–5+ years of industry experience in AI/ML, computer vision, and software engineering Advanced Python skills — clean, modular, efficient code is a must Proven experience training, evaluating, and deploying deep learning models (TensorFlow or PyTorch) Strong knowledge of OpenCV, PIL, and image processing libraries Familiarity with classification, object detection, segmentation, and tracking algorithms Experience with Jupyter, pandas, Linux, and scripting tools Solid understanding of software engineering best practices Strong problem-solving abilities and excellent communication skills If you’re passionate about solving real-world vision problems using AI/ML — and you take pride in clean, high-quality Python code — we want to hear from you.