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Lead AI/ML Engineer

2 months ago

Irving, United States Lorven Technologies Inc. Full time

Our client is looking Lead AI/ML Engineer for Full Time project in Irving, TX (Onsite). below is the detailed requirements.

Job Title : Lead AI/ML Engineer

Location : Irving, TX (Onsite)

Duration : 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: bachelor’s degree in computer science, Engineering, Statistics, Physics, Math, or related field or equivalent experience

• Preferred: master’s degree or PhD with coursework focused on advanced algorithms, mathematics in computing, data structures, etc.