ML Engineer, Dallas, TX Onsite role – NO OPT/CPT, FAKE GC

Job Title: ML Engineer

End Client : Southern Glazers

Location: Dallas, TX Onsite role

Visa: NO OPT/CPT/ FAKE GC 

 

 

Responsibilities

 

Key Responsibilities:

 

    Model Development:

        Collaborate with data scientists to develop, train, and validate Real Time machine learning models.

        Implement algorithms and techniques suitable for real-time data processing and inference.

 

    Real-Time Deployment:

        Design and implement robust deployment pipelines for machine learning models in real-time environments.

        Utilize cloud services (GCP or AWS) for deploying and scaling machine learning models.

 

    System Architecture:

        Architect and optimize end-to-end machine learning solutions that integrate seamlessly with existing infrastructure.

        Ensure solutions are built for scalability, maintainability, and high availability.

 

    Performance Monitoring:

        Monitor model performance and ensure real-time systems are operating at optimal levels.

        Implement logging, tracking, and alerting mechanisms to identify and address model drift or system failures.

 

    Collaboration:

        Work closely with cross-functional teams, including data engineers, software developers, and product managers, to align on project goals and deliverables.

        Communicate technical concepts to non-technical stakeholders effectively.

 

    Documentation:

        Create and maintain documentation for model development, deployment processes, and system architecture.

        Document best practices and contribute to knowledge-sharing initiatives within the team.

 

    Continuous Improvement:

        Stay up-to-date with the latest trends in machine learning and cloud technologies.

        Proactively identify areas for improvement in existing processes and models



0 0 votes
Article Rating
Subscribe
Notify of
guest
0 Comments
Most Voted
Newest Oldest
Inline Feedbacks
View all comments