Lead ML/AI Engineer

4 weeks ago

Irving, United States Inizio Partners Full time

Position Summary:

  • As a Lead ML/AI Engineer, you will drive the design and implementation of functionality related to the end-to-end ML/AI and Feature lifecycle management on Azure/Google Cloud Platform, leveraging and integrating the cloud native services with other standard operational and automation tools. Key responsibilities include:
  • Support the deployment of ML/AI pipelines on the platform.
  • Enable functionality to support analysis, model optimization, statistical testing, model versioning, deployment and monitoring of model and data.
  • Ability to translate functionality into scalable, tested, and configurable platform architecture and software.
  • Establish strong software engineering principles for development in Python on the Azure/Google Cloud Platform.
  • Deliver features aligned to enterprise AutoML, Feature Engineering, and MLOPS capability.
  • Innovative thinking and great communication skills.
  • Strong ownership of deliverables, with design decisions aligned to scale and industry best practices.
  • Provide technical leadership and mentorship to a team of machine learning engineers. Collaborate with cross-functional teams to align ML initiatives with overall business goals.
  • Design, implement, and optimize machine learning algorithms and models. Stay abreast of the latest advancements in ML research and apply them to solve complex business problems.
  • Architect and implement scalable and efficient machine learning systems. Collaborate with software engineers to integrate ML models into production systems.
  • Work closely with data engineers to ensure the availability and quality of data for training and evaluation of machine learning models.
  • Develop strategies for deploying machine learning models at scale. Ensure models are integrated into production systems with high reliability and performance.
  • Design and conduct experiments to evaluate the performance of machine learning models. Iterate on models based on feedback and evolving business requirements.


Required Qualifications:

  • 6+ years of experience in analytics domains, and deep understanding of ML operationalization and lifecycle management.
  • 5+ years of deploying and monitoring analytical assets in batch/real-time business processes.
  • 5+ years of SQL & Python programming experience leveraging strong software development principles.
  • Experience in designing and developing AI applications and systems.
  • Experience with real-time and streaming technology (i.e. Azure Event Hubs, Azure Functions, Pub/Sub, Kafka, Spark Streaming etc.)
  • Experience with REST API/Microservice development using Python/Java.
  • Experience with deployment/scaling of apps on containerized environment (AKS and/or GKE)
  • Experience with Snowflake/Big Query, Google Dataproc/Databricks or any big data frameworks on Spark
  • Experience with RDBMS and NoSQL Databases and hands-on query tuning/optimization.


Preferred Qualifications:

  • Hands on experience in building solutions using cloud native services (Azure, GCP preferred)
  • Understanding of DevOps, Infrastructure as Code, automation for self service


Education:

  • Required: bachelors degree in computer science, Engineering, Statistics, Physics, Math, or related field or equivalent experience
  • Preferred: masters degree or PhD with coursework focused on advanced algorithms, mathematics in computing, data structures, etc.


Preferred locations:

Dallas/Irving, Chicago, Boston/Wellesley, NYC, Hartford CT, Blue Bell PA, Scottsdale AZ, or Woonsocket RI.

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