Ever wondered what it takes to power the next generation of AI? AMD is on the hunt for a Principal ML Engineer in Bengaluru! Imagine driving large model training and pushing the boundaries of generative AI with Python and TensorFlow. Are you ready to shape the future of machine learning?
The global technological landscape is in a constant state of flux, driven significantly by rapid advancements in artificial intelligence. At the forefront of this evolution, a leading semiconductor giant is seeking to bolster its innovative core with a pivotal role: a Principal ML Engineer. This strategic position in Bengaluru is designed to accelerate the development and deployment of cutting-edge machine learning capabilities that will define the next generation of computing.
This role is central to AMD’s ambitious initiatives in large model distributed training, a critical component for scaling AI workloads efficiently. The successful candidate will be instrumental in architecting and implementing robust solutions that harness the immense power of advanced GPU platforms, ensuring seamless and high-performance execution of complex AI algorithms. This involves deep dives into parallel computing and optimization techniques to maximize computational throughput.
A key facet of this position involves optimizing intricate machine learning pipelines, transforming raw data into actionable intelligence with unparalleled speed and precision. Beyond internal development, the Principal ML Engineer will also champion contributions to the vibrant open-source AI community. This commitment reflects AMD’s dedication to fostering collaborative innovation and advancing the collective knowledge base in artificial intelligence.
Furthermore, the role offers an extraordinary opportunity to push the very limits of generative AI, a field rapidly reshaping creative and analytical industries. By exploring novel architectures and training methodologies, the engineer will contribute directly to groundbreaking applications that can generate realistic text, images, and other complex data, fundamentally altering how we interact with technology.
Prospective applicants must possess a formidable technical arsenal, highlighted by over a decade of hands-on experience in leading machine learning frameworks such as PyTorch, TensorFlow, or JAX. Complementing this, exceptional Python programming capabilities are non-negotiable, serving as the bedrock for developing scalable and efficient ML solutions across diverse environments.
Expertise in distributed training methodologies is paramount, given the scale and complexity of modern large language models and other AI systems. Candidates should demonstrate a proven track record of designing and implementing distributed systems that effectively leverage multiple computational units, overcoming challenges related to data parallelism, model parallelism, and communication overhead.
Joining AMD’s Bangalore team represents a unique career trajectory for seasoned machine learning professionals. This full-time engagement places engineers at the heart of an elite AI collective, where their contributions directly influence the strategic direction and technological prowess of a global leader in high-performance computing. It’s an invitation to innovate and excel within a dynamic, forward-thinking environment.
The opportunity to innovate within such a robust ecosystem underscores AMD’s commitment to being at the vanguard of AI development. For those eager to significantly impact the future of artificial intelligence through advanced hardware and software co-design, this role offers an unparalleled platform for professional growth and technological leadership.
