Lead AI Engineer
3 weeks ago
Qualification: Bachelor's or Master's degree in Computer Science & Engineering. 6-8 years of professional experience in software development, with a focus on AI projects in the last few years.
About :
Strong understanding of AI concepts, including machine learning, deep learning, LLM, GenAI, and NLP/LLM.
Proficiency in programming languages commonly used in AI development, such as Python, TensorFlow, PyTorch, or similar. Experience with popular AI frameworks and libraries, such as scikit-learn, NLTK, spaCy, Transformers, etc.
Familiarity with cloud platforms and services, such as AWS, Azure, or Google Cloud Platform. Solid understanding of software engineering principles, design patterns, and best practices.
Excellent problem-solving skills and ability to troubleshoot complex technical issues. Strong communication skills with the ability to effectively collaborate with cross-functional teams.
Demonstrated ability to work in a fast-paced, dynamic environment and adapt to changing priorities.
Role Implement and optimize AI models and algorithms to meet product requirements.
Conduct research and stay up-to-date with advancements in AI technologies, frameworks, and libraries.
Evaluate and integrate open-source tools and libraries into the development process to enhance productivity and efficiency.
Design and implement scalable and reliable software components for AI applications. Perform code reviews, ensure code quality, and contribute to continuous improvement initiatives.
Provide technical leadership and mentorship to junior team members, fostering a culture of knowledge sharing and collaboration.
Requirements
Skill Required: • 3+ years of Experience with education in B.Tech/B.E or M.Tech/M.E(ECE) or any other relevant degree. • Strong programming experience in C/C++ in embedded domain. • Strong debugging and problem-solving skills. • Experience with common embedded protocols/interfaces like • I2C, SPI, USART, buses, bridge chips, FPGAs, hardware queues/FIFOs, interrupts, DMA, • Experience in multi core, multi thread, IPC, system programming, GDB, kernel/user space interfaces in Linux OS Ability to work up and down the embedded stack: boot loader, device drivers, kernel, user space. • Experience in using source control, bug tracking and other relevant tools. Well versed with software development process. Good to have • ability to read schematics, understand device datasheets • use lab tools like - JTAG, oscilloscopes, power sources, multi-meters, etc • experience in SDK/tool chain setup, make files, scripting
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