About This Role
Here is a summary of the key points from the job posting for the Senior Software Engineer position at TechBiz Global: 1. Key technical requirements and skills: - Strong background in machine learning and deep learning, with experience building and deploying AI models using frameworks like TensorFlow and PyTorch - Proficiency in Python programming, particularly for AI/ML applications and system integration - Extensive experience in designing and developing scalable and maintainable software architectures, including familiarity with microservices and cloud-based architectures - Solid experience in developing mobile applications (native iOS and/or Android), integrating backend systems with frontend apps, and optimizing for performance 2. Team/project information: - The role involves designing, building, and deploying cutting-edge AI-powered solutions, as well as playing a key role in building software architectures and mobile applications - The candidate will work closely
About TechBiz Global
TechBiz Global is a leading recruitment and software development company. Our diverse, globally distributed team provides IT recruitment, outstaffing, outsourcing, software development, and different consulting services with a primary focus on making our partners achieve their business goals successfully.
With headquarters in Germany we have successful clients all over the world. We can understand your unique needs. Our team has hands-on experience with the challenges that come with rapid growth and the IT sector. That’s why all of our offerings are built with a tech mindset.
About the Role:We are seeking an experienced and versatile Senior Software Engineer to join our innovative and dynamic team. This position offers a unique opportunity to design and develop cutting-edge AI-powered solutions, while also playing a key role in building software architectures and mobile applications.
Requirements
Key Responsibilities:
AI and Software Development: Design, build, and deploy scalable AI models and software solutions, combining both machine learning/deep learning expertise and general software engineering best practices.
Architecture Design: Lead the design and implementation of software architectures that can support AI-driven applications, ensuring scalability, reliability, and performance.
Mobile App Development: Develop mobile applications (iOS/Android) that integrate seamlessly with backend AI systems and offer exceptional user experiences.
Cross-functional Collaboration: Work closely with product managers, data scientists, and other engineers to define, develop, and ship software that meets business and technical requirements.
Code Quality & Documentation: Write clean, maintainable, and well-documented code, ensuring high-quality deliverables and easy integration into the larger system.
Research & Innovation: Stay current with the latest advancements in AI, software engineering, mobile development, and architecture patterns, proposing new tools, technologies, and techniques to continuously improve product performance.
Key Requirements:
Experience: At least 7 years of professional software engineering experience, with a proven track record of successfully delivering complex systems.
AI/ML Expertise: Strong background in machine learning and deep learning with hands-on experience building and deploying models (e.g., using TensorFlow, PyTorch).
Python Development: Proficiency in Python programming, particularly for AI/ML applications and system integration.
Architecture Design: Extensive experience in designing and developing scalable and maintainable software architectures. Familiarity with microservices and cloud-based architectures is a plus.
Mobile App Development: Solid experience in developing mobile applications (native iOS and/or Android), integrating backend systems with frontend apps, and optimizing for performance.
Problem-Solving: Exceptional analytical and problem-solving abilities, with a passion for developing solutions to complex technical challenges.
Collaboration: Strong communication skills and the ability to work effectively in a collaborative, remote team environment, with a focus on delivering high-quality solutions.
Tools & Technologies: Familiarity with cloud platforms (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and version control (Git). Experience with mobile frameworks (React Native, Swift, Kotlin) is a plus.
Originally posted on Himalayas