AI Architect

4 weeks ago

Austin, Texas, United States Derex Technologies Inc Full time

Company Description

Derex Technologies Inc specializes in providing IT consulting, staffing solutions and software services. Globally headquartered in Harrison New Jersey since 1996 Derex delivers the highest quality technology professionals and an array of customized IT talent solutions designed to improve productivity and drive results to global clients throughout North America.

With over two decades of unparalleled experience, Derex provides supports to its clientele, across such industries as Systems Integration, Banking and Finance, Telecommunications, Pharmaceutical and Life Sciences, Energy, Healthcare, Technology, Transportation, and local and federal Government agencies.

Job Description

Position: AI Architect

Location: Austin, TX (hybrid)

Visa: USC / GC Only

Skills

Python / Sci-kit Learn / TensorFlow / AWS Sagemaker / AWS Ecosystem

Job Description

We are looking for a talented and experienced Senior AIML Engineer to join our dynamic team. In this role, you will be responsible for designing, developing, and deploying machine learning models and algorithms, with a particular focus on recommendation systems. You will work closely with data scientists and engineers to ensure seamless integration of models into production and optimize performance and scalability.

Responsibilities

  • Machine Learning Model Development: Design, develop, and deploy advanced machine learning models and algorithms, with a particular focus on creating and enhancing recommendation systems.
  • Data Pipeline Implementation: Implement and maintain efficient data pipelines and workflows, ensuring seamless data ingestion, processing, and transformation to support machine learning initiatives.
  • Cross-functional Collaboration: Collaborate closely with data scientists, engineers, and other stakeholders to integrate machine learning models into production environments, ensuring alignment with project goals and business objectives.
  • Performance Optimization: Continuously optimize model performance and scalability, leveraging best practices in machine learning, data engineering, and software development to achieve high efficiency and robustness.
  • Model Validation and Testing: Develop and execute comprehensive validation and testing strategies to ensure the accuracy, reliability, and robustness of machine learning models, identifying and mitigating potential issues.
  • Scalable Infrastructure: Design and implement scalable infrastructure solutions to support the deployment and maintenance of machine learning models, utilizing cloud services and other relevant technologies.
  • Research and Innovation: Stay abreast of the latest advancements in machine learning, recommendation systems, and related fields, driving innovation and incorporating cutting-edge techniques into projects.
  • Technical Leadership: Provide technical leadership and mentorship to junior engineers and team members, fostering a collaborative and growth-oriented work environment.
  • Documentation and Reporting: Create and maintain detailed technical documentation, including model specifications, data pipelines, and deployment procedures, ensuring clarity and accessibility for all stakeholders.
  • Continuous Improvement: Advocate for and implement continuous improvement practices, regularly reviewing and refining processes, tools, and methodologies to enhance efficiency and effectiveness.

Qualifications


• Proficiency in Python, Sci-kit learn, TensorFlow, AWS Sagemaker


• Experience with AWS Sagemaker and the AWS ecosystem.


• Strong understanding of recommendation systems and their implementation.


• Bachelor's or Master's degree in Computer Science, Engineering, or related field.

Skills Required

The Senior AIML Engineer should have proficiency in Python, Sci-kit Learn, and TensorFlow. Expertise in AWS Sagemaker and the AWS ecosystem is essential to excel in this role.

Regards,

Manoj

Derex Technologies INC

Contact : Ext 206

Additional Information

All your information will be kept confidential according to EEO guidelines.

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