ML Data Engineer

Key Skills

JavaScript, Azure, Cloud computing, Apache Kafka, Machine learning techniques, PyTorch, Tableau, TensorFlow, R Programming

Job Description

Dell's Enterprise Solutions Group is looking for a Sr ML data engineer with a solid ML algorithm and data engineering practice. The individual will be leading and contributing to AIOps project by performing data preparation (ETL), maintaining data integration infrastructure (Spark, zookeeper, et), validating and integration ML models, and developing microService for ML services. The individual should be comfortable working in both in a Linux environment, have experience programming in Python and Java as well as expertise in MLOps and ML/DL Models. Prior experience in accurately scoping implementation resource requirements and schedule timelines is important. Individuals should also have good communication to work across a global development team environment.

Qualifications:

BS or MS degree in Statistics, Mathematics, engineering, Computer Science or a related technical discipline

4+ years of industry experience in engineering, software engineering, applied science or a related field with a track record of manipulating, processing, and extracting value from large sets including 1-2 years in the following areas:

Required Skills:

• Strong development skills in Python, SQL and Java are a must
• Experience with Python based ML packages such as Panda, NumPy, scikit-learn, etc.
• Experience with NLP package such as SpaCy and Theano.
• Experience with MLOps building systems to orchestrate batch and streaming pipelines
• Experience using NoSQL and MR technologies (Spark, Hive, Cassandra, Mongo DB etc.)
• Demonstrated strength in ETL development, and warehousing
• Technical hands on position in a fast-paced delivery-oriented environment

Desired skills:

• Knowledges in Google Tensorflow, Meta PyTorch and R
• Knowledges in cloud technologies like Microservices, containers, Kubernetes etc.
• Knowledges in Cloud Foundry, specifically PCF.
• Knowledges in Angularjs and JavaScript
• Experience in building stream data-based ML solutions leveraging Apache Kafka, Azure Steam Analytics
• Experience in developing analytics dashboard using Tableau or similar front end tool.
• Experience in building scalable ML engineering infrastructure including feature engineering, model training, model deployment and model inference
• Knowledge of agile software engineering methodologies across the development lifecycle such as coding standards, code reviews, source management, build processes, testing, and operations

Here’s our story; now tell us yours

Dell Technologies helps organizations and individuals build a brighter digital tomorrow. Our company is made up of more than 150,000 people, located in over 180 locations around the world. We’re proud to be a diverse and inclusive team and have an endless passion for our mission to drive human progress.

What’s most important to us is that you are respected, feel like you can be yourself and have the opportunity to do the best work of your life -- while still having a life. We offer excellent benefits, bonus programs, flexible work arrangements, a variety of career development opportunities, employee resource groups, and much more.

We started with computers, but we didn’t stop there. We are helping customers move into the future with multi-cloud, AI and machine learning through the most innovative technology and services portfolio for the data era. Join us and become a part of what’s next in technology, starting today.

You can also learn more about us by reading our latest Diversity and Inclusion Report and our plan to make the world a better place by 2030 here.