Apr 2, 2019
Machine Learning Engineer Roles (Walmart Labs)
Job Title
Company
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Description
About:
The machine learning engineer designs, develops and deploys machine learning solutions to meet enterprise goals and support experimentation and innovation. The engineer collaborates with developers and data scientists to identify innovative machine learning solutions that leverage data to meet business goals. The machine learning engineer ensures infrastructure and data pipelines are structured to deploy machine learning solutions.
Key Responsibilities:
- Understands and translates business and functional needs into machine learning problem statements
- Translates complex machine learning problem statements into specific deliverables and requirements
- Designs and develops scalable solutions that leverage machine learning and deep learning models to meet enterprise requirements
- Works closely with data scientists and data engineers to develop machine learning algorithms
- Translates machine learning algorithms into production-level code
- Collaborates with development teams to test and deploy machine learning models
- Creates metrics to continuously evaluate the performance of machine learning solutions
- Maintains and improves the performance of existing machine learning solutions
- Ensures adherence to performance standards and compliance to data security requirements
- Keeps abreast with new tools, algorithms and techniques in machine learning and works to implement them in the organization
Skills:
- Proficiency in machine learning algorithms such as multi-class classifications, decision trees, support vector machines and deep learning
- Strong understanding of probability and statistical models (generative and descriptive models)
- Ability to run experiments scientifically and analyze results
- Ability to effectively communicate technical concepts and results to technical and business audiences in a comprehensive manner
- Ability to collaborate effectively across multiple teams and stakeholders, including analytics teams, development teams, product management and operations
- Preferred experience in a Machine Learning role
- 2-5+ year’s experience in building and evolving complex software systems for data processing and machine learning workloads
- Strong CS fundamentals in algorithms, data structures, OOPS, functional programming.
- Strong Experience with Big Data processing (Bigquery / Hive/ Hadoop/ HDFS/ Spark/ Flink/ Beam fundamentals)
- Productionize the developed Machine Learning solutions
- Hands on Experience with GCP Cloud (Dataflow, Dataproc, ML Engine, Datalabs, Kubeflows)
- Familiarity with ML algorithms for time series datasets.
- Working knowledge and experience with Streaming platforms (Kafka preferred)
Must Haves:
- Preferred experience in a Machine Learning role
- 2-5+ year’s experience in building and evolving complex software systems for data processing and machine learning workloads
- Strong CS fundamentals in algorithms, data structures, OOPS, functional programming.
- Strong Experience with Big Data processing (Bigquery / Hive/ Hadoop/ HDFS/ Spark/ Flink/ Beam fundamentals)
- Productionize the developed Machine Learning solutions
- Hands on Experience with GCP Cloud (Dataflow, Dataproc, ML Engine, Datalabs, Kubeflows)
- Familiarity with ML algorithms for time series datasets.
- Working knowledge and experience with Streaming platforms (Kafka preferred)
- Experience with stream processing frameworks / Complex event processing engines like Spark-SQL/Flink/Beam
- Strong knowledge and experience with Databases (Relational Maria/Mysql and NoSQL Cassandra/Hbase/Bigtable)
- Expert knowledge and experience with Java/Scala/Python
- String grasp of principles and approaches used in Data-driven systems, processes and algorithms
- Scripting skills in at least one of the following: Shell, Perl, Python, Bash, or Ruby
- Experience with Performance Engineering including testing, tuning and monitoring tools.
- Basic Familiarity with continuous integration tools and frameworks like Travis CI, Jenkins, etc
Education Requirements:
- Master’s degree in data science, applied mathematics, computer science or otherwise research-based field; PhD’s degree preferred
How to Apply
Students who are interested in the opportunities are welcome to reach out to Lei Ji directly at Lei.Ji@walmartlabs.com.