Python machine learning

job summary:
Key Responsibilities:

- Design, develop, and oversee end-to-end implementation of the new GM GenAI platform and its related business use cases.

- Develop architectural approaches for AI software and hardware integration with emphasis on quality, performance, resiliency, and reusability.

- Collaborate with business and IT stakeholders to understand and fulfill business needs objectives.

- Lead cross-disciplinary teams to deliver technical solutions that align with business priorities and expectations.

- Identify, prioritize and execute tasks in the software development life cycle.

- Establish standards and lead the charge on automation for end-to-end SDLC efficiency.

- Mentor team members in technical design and development best practices

- Drive platform performance, scalability resiliency testing

- Implement hardware upgrade software enhancement to meet global performance expectations.

- Address regulatory performance driven requirements for regional/localization of infrastructure platform.

- Conduct research prototyping to evaluate and identify new solutions to enhance platform and team capabilities.

- Monitor AI industry trends and stay abreast of advancements in AI, machine learning, and data science to continuously innovate and improve solutions.

Experience Required:

- Expert Python development skills with strong knowledge of Threading, Async Programming, Fast API, OO Design.

- Experience with ETL with large data and optimizations for performance.

- Pub/Sub, Message Bus design and implementations. Kafka/AMPS preferred.

- Working in large sized teams that collaboratively develop on a shared multi-repo codebase. (VsCode)

- Strong analytical and problem-solving skills.

- Strong communication skills.

Non-Technical

- Self-starter. Able to break down complex problems into smaller problems, manage dependencies, and efficiently drive through to a solution

- Adaptable to shifting & competing priorities.

- Committed and pro-active in ensuring high quality of service.

- Ability to work in a fast-pace environment.

7+ is the preferred.

location: Plano, Texas
job type: Solutions
salary: $64 - 67 per hour
work hours: 9am to 5pm
education: Bachelors


responsibilities:

• - Design, develop, and oversee end-to-end implementation of the new GM GenAI platform and its related business use cases.
• - Develop architectural approaches for AI software and hardware integration with emphasis on quality, performance, resiliency, and reusability.
• - Collaborate with business and IT stakeholders to understand and fulfill business needs objectives.
• - Lead cross-disciplinary teams to deliver technical solutions that align with business priorities and expectations.
• - Identify, prioritize and execute tasks in the software development life cycle.
• - Establish standards and lead the charge on automation for end-to-end SDLC efficiency.

qualifications:
Degree

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact [email protected].


Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).

This posting is open for thirty (30) days.