Ai engineer

job summary:
- Gen AI/ML technology implementation with business and product owners

- AI COE function to provide standards, prescriptions, reusable frameworks and platform for AI acceleration

- Emerging Tech Governance function covering policies, guidelines and processes to govern AI/ML enabled components as well as third party AI governance

- Lead and support other enterprise-level AI exploration tools and capabilities

- Provide guidance and support for safe development and deployment of AI

location: Telecommute
job type: Solutions
salary: $55 - 57 per hour
work hours: 8am to 5pm
education: Bachelors


responsibilities:
seeking an AI Engineer to be part of a team that will be dedicated to build and support Generative AI, Machine learning, Deep Learning and Data science solutions across the organization.

Specific Emerging Technology team objectives are:

- Gen AI/ML technology implementation with business and product owners

- AI COE function to provide standards, prescriptions, reusable frameworks and platform for AI acceleration

- Emerging Tech Governance function covering policies, guidelines and processes to govern AI/ML enabled components as well as third party AI governance

- Lead and support other enterprise-level AI exploration tools and capabilities

- Provide guidance and support for safe development and deployment of AI

Core project specific Objectives:

-Collect the core compliance and regulatory requirements from the Fitch compliance and risk team for building AI guardrails

-Design the Gen UI/UX and backend for these \"Guardrail\" requirements

-Implement PII/MNPI and Prompt injection handling capabilities in the \"Guardrail\" backend

AI COE Specific objectives:

- Designs and develops scalable solutions and GenAI and ML workflows that leverage machine learning, gen AI and deep learning models to meet enterprise requirements.

- Actively participate in maintaining SLAs for Production applications and support. Create metrics to continuously evaluate the performance of machine learning solutions and improve the performance of existing machine learning solutions

- Build with AWS and Azure cloud computing services providing the necessary infrastructure, resources, and interfaces to enable data loading and LLM workflows.

- Use Python/Java and large-scale data workflow orchestration platforms e.g. Airflow to construct software artifacts for ETL, interfacing with diverse data formats and storage technologies, and incorporate them into robust data workflows and dynamic systems

qualifications:
-Collect the core compliance and regulatory requirements from the Fitch compliance and risk team for building AI guardrails

-Design the Gen UI/UX and backend for these \"Guardrail\" requirements

-Implement PII/MNPI and Prompt injection handling capabilities in the \"Guardrail\" backend

- Designs and develops scalable solutions and GenAI and ML workflows that leverage machine learning, gen AI and deep learning models to meet enterprise requirements.

- Actively participate in maintaining SLAs for Production applications and support. Create metrics to continuously evaluate the performance of machine learning solutions and improve the performance of existing machine learning solutions

- Build with AWS and Azure cloud computing services providing the necessary infrastructure, resources, and interfaces to enable data loading and LLM workflows.

- Use Python/Java and large-scale data workflow orchestration platforms e.g. Airflow to construct software artifacts for ETL, interfacing with diverse data formats and storage technologies, and incorporate them into robust data workflows and dynamic systems

skills:
Airflow,AWS,reusable frameworks,AI,AI guardrails,backend,large-scale data,Deep Learning,deep learning models,UI/UX,dynamic systems,data loading,ETL,Generative AI,Gen AI,Java,LLM,machine learning,machine learning solutions,ML workflows,Azure cloud,Python,storage technologies,part of a team,Emerging technology,Data science solutions,Governance,AI governance,infrastructure,prescriptions,metrics,regulatory requirements,risk,technology implementation,workflows,data workflows

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 View email address on click.appcast.io.


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.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.