Dell is looking to leverage AI/ML to drive innovation in their storage products and enhance efficiency across organizational processes, including testing and CI/CD.
Requirements
- Solid theoretical understanding of core AI and Machine Learning concepts, including supervised, unsupervised, and reinforcement learning, LLMs, and common ML algorithms
- Proficiency in major programming language used in AI/ML (e.g., Python)
- Experience with popular ML frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy)
- Familiarity with data manipulation, analysis, and visualization techniques
- Experience in AI/ML in an enterprise or large-scale data environment
- Experience with MLOps principles and tools (e.g., Docker, Kubernetes, CI/CD for ML)
- Knowledge of distributed computing frameworks (e.g., Spark) for large datasets
Responsibilities
- Collaborate with architects, senior engineers, product managers and business stakeholders to understand complex problems in enterprise data storage products and engineering processes (e.g., testing, CI/CD) and identify opportunities for AI/ML solutions
- Assist in the entire machine learning lifecycle, including data collection, cleaning, pre-processing, feature engineering, model training, evaluation, and deployment
- Implement, optimize, and experiment with various AI and Machine Learning algorithms and models
- Develop and maintain robust, scalable, and efficient AI/ML pipelines and infrastructure
- Perform rigorous model testing, validation, and interpretability analysis to ensure accuracy, fairness, and reliability
- Stay up-to-date with the latest advancements in AI, Machine Learning, and deep learning research and technologies
- Document technical designs, code, and experimental results clearly and concisely
Other
- Demonstrated ability to approach complex problems, break them down, and propose innovative AI/ML-driven solutions
- Eagerness to learn new tools, technologies, and adapt to evolving project requirements in a fast-paced enterprise setting
- Strong verbal and written communication skills to articulate technical concepts to both technical and non-technical audiences
- Bachelor's with 5+ year of experience or Master's degree with 3+ years of experience in Artificial Intelligence, Machine Learning, Computer Science, Data Science, or a closely related quantitative field with a strong emphasis on AI/ML
- Software development experience in C/C++
