Tech Lead (Development Lead)

Description

Summary: The Tech Lead provides technical leadership to a development team, ensuring software quality, architectural implementation, and efficient delivery of technological solutions aligned with business objectives. Highlights: 1. Lead the technical development of AI and Machine Learning-based solutions. 2. Mentor the team in development and ML best practices. 3. Drive decision-making regarding technologies, frameworks, and tools. The **Tech Lead** is responsible for providing technical leadership to a development team, ensuring software quality, proper architectural implementation, and efficient delivery of technological solutions aligned with business objectives.. Responsibilities: * Lead the technical development of AI and Machine Learning\-based solutions. * Development of service\-based applications, using React for the UI and Django for the backends. * Design system architectures that integrate ML models into applications and services. * Coordinate workflows between Software Engineers, Data Scientists, and ML Engineers. * Oversee the development of data pipelines, model training, and production deployment (MLOps). * Define standards for development, testing, and model monitoring. * Perform code reviews and ensure engineering best practices. * Participate in the selection of AI frameworks and toolsets. * Ensure system scalability, performance, and reliability. * Mentor the team in development and ML best practices. * Provide technical guidance to the developer team. * Design and define the technical architecture of applications and services. * Collaborate with Product, QA, and DevOps teams. * Drive decision\-making regarding technologies, frameworks, and tools. Qualifications: * 6–10\+ years of experience in software development. * English proficiency: B1\+ or higher. * Bachelor's Degree in Computer Science, Information Systems, or related field. * Proven experience leading technical teams. * Hands\-on experience with Machine Learning and AI systems. * Proficiency in languages such as Python, Java, JavaScript, Go, or TypeScript. * Experience with ML frameworks like TensorFlow, PyTorch, or Scikit\-learn. * Strong background in software architecture and distributed systems. * Knowledge of MLOps, CI/CD, and model deployment. * Experience with cloud platforms (AWS, GCP, or Azure). **Desirable skills:** * Knowledge of DevOps and cloud infrastructure management, including containers and orchestration with Docker and Kubernetes. * Familiarity with Agile methodologies (Scrum, Kanban) and collaborating in multidisciplinary teams. * Technical mentoring and leadership abilities, promoting engineering excellence and software quality. * Experience in testing, validation, and automation of AI models.