Senior AI/ML Lead

WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. Senior AI/ML Lead : THE ROLE: The Senior AI/ML Engineer leads the design, development, deployment, and optimization of machine learning and AI solutions at scale. This role requires deep technical expertise in ML/AI algorithms, data engineering, model lifecycle management, and production readiness. The engineer collaborates with data scientists, software engineers, product managers, and business stakeholders to drive end-to-end AI initiatives. THE PERSON: You're a highly motivated team player with a strong development background, problem solving mentality, excellent communication skills, ability to prioritize tasks along with willingness to learn and adapt. Excellent teamwork skills and capable of working independently. KEY RESPONSIBILITIES: 10+ years of experience in machine learning or AI engineering. Strong programming skills: Python (primary), plus experience with Java/Scala/Go is a plus. Expert knowledge of ML frameworks: PyTorch, TensorFlow, Scikit-learn. Hands-on experience with NLP, LLMs, deep learning, or computer vision. Experience deploying ML models in production at scale. Strong understanding of distributed systems, data pipelines, and cloud infrastructure. Experience with MLOps tools: MLflow, Kubeflow, Airflow, Vertex AI, SageMaker, Azure ML. Familiarity with vector databases, RAG systems, and fine-tuning LLMs. Strong knowledge of data structures, algorithms, and software engineering principles. Experience with Docker, Kubernetes, CI/CD pipelines. PREFERRED EXPERIENCE: Experience with large-scale training using GPUs/TPUs. Knowledge of model compression, quantization, and optimization frameworks (TensorRT, ONNX). Experience with streaming systems (Kafka, Kinesis, Pub/Sub). Previous experience in big data ecosystems: Spark, Hadoop, Databricks. Background in designing secure, compliant AI systems (privacy, governance, responsible AI). Contributions to open-source ML/AI projects. ACADEMIC CREDENTIALS: Bachelor’s/Master’s degree in Computer Science or related field strongly preferred Benefits offered are described: AMD benefits at a glance. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.Senior AI/ML Lead : THE ROLE: The Senior AI/ML Engineer leads the design, development, deployment, and optimization of machine learning and AI solutions at scale. This role requires deep technical expertise in ML/AI algorithms, data engineering, model lifecycle management, and production readiness. The engineer collaborates with data scientists, software engineers, product managers, and business stakeholders to drive end-to-end AI initiatives. THE PERSON: You're a highly motivated team player with a strong development background, problem solving mentality, excellent communication skills, ability to prioritize tasks along with willingness to learn and adapt. Excellent teamwork skills and capable of working independently. KEY RESPONSIBILITIES: 10+ years of experience in machine learning or AI engineering. Strong programming skills: Python (primary), plus experience with Java/Scala/Go is a plus. Expert knowledge of ML frameworks: PyTorch, TensorFlow, Scikit-learn. Hands-on experience with NLP, LLMs, deep learning, or computer vision. Experience deploying ML models in production at scale. Strong understanding of distributed systems, data pipelines, and cloud infrastructure. Experience with MLOps tools: MLflow, Kubeflow, Airflow, Vertex AI, SageMaker, Azure ML. Familiarity with vector databases, RAG systems, and fine-tuning LLMs. Strong knowledge of data structures, algorithms, and software engineering principles. Experience with Docker, Kubernetes, CI/CD pipelines. PREFERRED EXPERIENCE: Experience with large-scale training using GPUs/TPUs. Knowledge of model compression, quantization, and optimization frameworks (TensorRT, ONNX). Experience with streaming systems (Kafka, Kinesis, Pub/Sub). Previous experience in big data ecosystems: Spark, Hadoop, Databricks. Background in designing secure, compliant AI systems (privacy, governance, responsible AI). Contributions to open-source ML/AI projects. ACADEMIC CREDENTIALS: Bachelor’s/Master’s degree in Computer Science or related field strongly preferredBenefits offered are described: AMD benefits at a glance. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.