You will:

• Build Data Pipelines & platform to operationalize Machine Learning models at scale
• Work with data science team to enable robust decision-making in terms of thinking about scale, latency, throughput requirements. Create tools/systems to speed-up ML lifecycle.
• Play a significant role in enabling adoption of sophisticated algorithms and data mining strategies.
• Generates new practices and processes for effective ML engineering, in alignment with core subject-matter expertise.
• Define best practices for code optimization, model and system validation, and model governance.

Take the first step towards your dream career

Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role:

Essential Requirements 

• Data Science Platforms like Domino Data Lab, Microsoft Azure, AWS and Google Cloud (working environment to build and deploy models)
• Bachelors degree with 5+ years of relevant experience.
• Primary experience with object-oriented programming languages such as C# or Java and familiar with data science tools, frameworks and data engineering tools such as Python, Spark, Tensorflow, XGBoost, etc
• Software engineering experience particularly related to productionizing ML models and scaling them in low-latency settings.
• Proficient in Data Mining, Data transformation and Database building ( ETL, SQL OLAP, Teradata, Hadoop )
• Knowledge of cloud-native computing DevOps, data streaming and extraction, parallelized workloads using Docker, Kubernetes, Test Driven Development and Continuous Integration / Continuous Deployment

Desirable Requirements

• Creative Problem solving approach
• Large experience in machine learning and especially building solution thru Neural Network is a plus
• Big Data experience in driving real time analytics