Lead ML or AI Engineer
2 weeks ago
Job Title: Lead ML / AI Engineer
Location: Boston MA or Scottsdale AZ or Hartford CT
Duration: 12 months
Note:
Onsite role
HealthCare Experience a must
Description:
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:
- 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/BigQuery, Google Dataproc/Databricks or any big data frameworks on Spark
- Experience with RDBMS and NoSQL Databases and hands-on query tuning/optimization.
The hourly range for roles of this nature are $40 to $80/hr. Rates are heavily dependent on skills, experience, location, and industry.
cyberThink is an Equal Opportunity Employer.
Best regards,
Anupam Amita| Team Lead | |( | * |
Leader in Staffing and IT Services since 1996
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