What are the responsibilities and job description for the Lead AI/ML Engineer position at Inizio Partners?
About the job Lead AI / ML Engineer
Job Description : 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 :
Preferred Qualifications :
Education :
