Share
As a Senior Machine Learning Engineer, you will be responsible for designing, developing, and deploying machine learning models that power intelligent tools and features across our products. This role requires strong technical expertise, a collaborative mindset, and a passion for solving real-world problems using data.
You will:
Design and implement AI algorithms and models for real-world applications (e.g., NLP, computer vision, recommendation systems).
Collaborate with cross-functional teams to integrate AI solutions into products and services.
Optimize and scale machine learning models for performance and efficiency, maintain and improve existing AI systems through continuous learning and feedback loops.
Conduct research and stay up-to-date with the latest advancements in AI and machine learning.
Write clean, maintainable, and well-documented code, participate in code reviews, testing, and deployment processes.
Essential Requirements
12-18 years of combined experience in the architecture, design and development of BIOS Firmware, Artificial Intelligence, Machine Learning, or related field with bachelor’s or master’s degree.
Strong programming skills in Python (preferred), C++, or Java.
Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
Solid understanding of data structures, algorithms, and software engineering principles.
Experience and deep learning, reinforcement learning, or generative models.
Knowledge of MLOps practices and tools. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerization tools (e.g., Docker, Kubernetes).
Desirable Requirements
Prior experience deploying AI models in production environments preferred.
Contributions to open-source AI projects or published research preferred.
These jobs might be a good fit