AI Engineer

AI/ML Engineers are responsible for building, developing, and deploying machine learning models. They are involved in all stages of the machine learning lifecycle, from data collection and preparation to model training, evaluation, and deployment. AI/ML Engineers typically have a strong background in computer science, mathematics, and statistics, as well as expertise in machine learning algorithms and tools. They are also expected to have excellent programming skills, particularly in Python and its associated libraries such as TensorFlow, PyTorch, and scikit-learn.

Responsibilities:

* Design, develop, and implement machine learning models and algorithms.
* Collect, clean, and preprocess large datasets for training machine learning models.
* Train, evaluate, and optimize machine learning models for performance and accuracy.
* Deploy machine learning models into production environments.
* Collaborate with cross-functional teams to identify and address business needs with AI/ML solutions.
* Stay up-to-date with the latest advancements in AI/ML research and technologies.
* Document and present findings and results to stakeholders.

Qualifications:

* Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
* Proven experience in developing and deploying machine learning models.
* Strong programming skills in Python and experience with ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
* Solid understanding of machine learning algorithms, statistical modeling, and data mining techniques.
* Experience with cloud platforms (e.g., AWS, Azure, GCP) and MLOps practices is a plus.
* Excellent problem-solving and analytical skills.
* Strong communication and collaboration abilities.

Nutanix is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.