DS/ML Cloud Engineer

DFW Metroplex, TX

Full Time

About this role

At evolv Consulting, we are seeking to hire an experienced DS/ML Cloud Engineer to join our team. If you’re a passionate self-starter, evolv is a great place to get ahead.
Responsibilities for this role include:
  • Expertise in working with a broad range of data types in the design and develop of complex code in SQL or Python to optimize data pipelines for ML analysis and modeling/coding that transform/model algorithms for ready code.
  • Knowledge of privacy-enforcing mechanisms, predictive analytics, etc.
  • Familiarity with big data techniques, statistical and machine learning techniques, and associated cloud tooling (eg. SQL, Spark, Snowflake, TensorFlow) or the ability to quickly pick these up.
  • Ability to create repeatable, scalable processes with orchestration; quality checks is key to success .
  • Ability to collaborate and communicate on concepts and shared outcomes with partners and fellow team members.
  • Build machine learning models to extract device features using active or passive networking techniques.
  • Run models efficiently on the edge and in cloud pipelines to improve the well-being and security of our users.
  • Drive optimization, testing, and tooling to improve quality.
  • Prototype new approaches and build solutions at scale.
  • Perform data analysis to establish baselines and inform product decisions.
  • Collaborate with a cross functional agile team spanning design, data science, product management, and engineering to build new technologies and features.
  • Other duties as assigned.

Requirements

  • 3+ years of working experience in data management technologies (Microsoft SQL Server, Postgres, advanced SQL coding, relational database design, data warehousing), writing SQL ETL processes, coding in Python or PySpark.
  • Development of Big Data and ML technologies: AWS, Sagemaker, Athena, S3, EMR, Kinesis, Kubernetes, Python, Kafka, Databricks, DataRobot, Terraform, Azure ML, Statistical Modeling to optimize ML model processing (training, evaluation, and inference) in cloud computing.
  • Experience working in a Linux and Windows environment, writing infrastructure utilizing Terraform, Step Functions, CloudWatch.
  • Experience in working with cloud data warehouse platforms: parquet file formats, AWS S3 storage.
  • Successful in creating CI/CD deployment pipelines in Microsoft Azure DevOps.
  • AWS (Sagemaker, Athena, S3, EMR, Kinesis), Kubernetes, Python, Kafka, Databricks, DataRobot, Terraform, Azure ML, Statistical Modeling.

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