What are the responsibilities and job description for the AI/ML Engineer (Google Cloud Platform, Model Validation & Training) position at Jobs via Dice?
Excellent Jr-mid level part-time consulting opportunity with the possibility of FTE // Professional Experience working within Google Cloud Platform, handling validating accuracy and training the models REQUIRED!!
This Jobot Consulting Job is hosted by: Craig Rosecrans
Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $40 - $65 per hour
A bit about us:
We are partnering with a global digital transformation team supporting next-generation AI initiatives for a major enterprise technology program. This role will work directly alongside a senior AI architect helping validate model accuracy, support training workflows, and contribute to the development and refinement of production-bound machine learning solutions within Google Cloud Platform.
This is an excellent opportunity for an early-career AI/ML engineer to gain hands-on experience with real-world model evaluation, LLM development workflows, and enterprise-scale applied AI systems.
Why join us?
Part-time contract (~20 hours per week)
Fully remote
Flexible scheduling
Opportunity to contribute to high-visibility enterprise AI development initiatives
Job Details
Responsibilities
Support evaluation and validation of machine learning and LLM outputs for accuracy, consistency, and reliability within Google Cloud Platform
Assist with training dataset preparation, labeling, and refinement
Contribute to prompt engineering experimentation and response testing
Help monitor model performance and recommend improvements
Collaborate with senior engineers on iterative model tuning and deployment readiness
Document workflows, testing results, and evaluation methodologies
Participate in ongoing experimentation supporting production AI solutions
Required Qualifications
1-3 years of experience in Machine Learning, AI engineering, or applied data science
Hands-on experience with Python for ML workflows
Professional experience working in Google Cloud Platform (Google Cloud Platform) required
Familiarity with LLM ecosystems (OpenAI, Gemini, Claude, or similar)
Experience working with structured and unstructured datasets
Exposure to model validation, testing pipelines, or evaluation frameworks
Strong attention to detail and analytical problem-solving skills
Ability to work independently in a distributed engineering environment
Preferred Qualifications
Experience supporting prompt engineering or RAG-style workflows
Exposure to model fine-tuning or dataset optimization techniques
Familiarity with evaluation tooling for LLM accuracy and hallucination detection
Experience working alongside senior architects or research teams
Background supporting enterprise AI initiatives or production-bound experimentation
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy
This Jobot Consulting Job is hosted by: Craig Rosecrans
Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $40 - $65 per hour
A bit about us:
We are partnering with a global digital transformation team supporting next-generation AI initiatives for a major enterprise technology program. This role will work directly alongside a senior AI architect helping validate model accuracy, support training workflows, and contribute to the development and refinement of production-bound machine learning solutions within Google Cloud Platform.
This is an excellent opportunity for an early-career AI/ML engineer to gain hands-on experience with real-world model evaluation, LLM development workflows, and enterprise-scale applied AI systems.
Why join us?
Part-time contract (~20 hours per week)
Fully remote
Flexible scheduling
Opportunity to contribute to high-visibility enterprise AI development initiatives
Job Details
Responsibilities
Support evaluation and validation of machine learning and LLM outputs for accuracy, consistency, and reliability within Google Cloud Platform
Assist with training dataset preparation, labeling, and refinement
Contribute to prompt engineering experimentation and response testing
Help monitor model performance and recommend improvements
Collaborate with senior engineers on iterative model tuning and deployment readiness
Document workflows, testing results, and evaluation methodologies
Participate in ongoing experimentation supporting production AI solutions
Required Qualifications
1-3 years of experience in Machine Learning, AI engineering, or applied data science
Hands-on experience with Python for ML workflows
Professional experience working in Google Cloud Platform (Google Cloud Platform) required
Familiarity with LLM ecosystems (OpenAI, Gemini, Claude, or similar)
Experience working with structured and unstructured datasets
Exposure to model validation, testing pipelines, or evaluation frameworks
Strong attention to detail and analytical problem-solving skills
Ability to work independently in a distributed engineering environment
Preferred Qualifications
Experience supporting prompt engineering or RAG-style workflows
Exposure to model fine-tuning or dataset optimization techniques
Familiarity with evaluation tooling for LLM accuracy and hallucination detection
Experience working alongside senior architects or research teams
Background supporting enterprise AI initiatives or production-bound experimentation
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy
Salary : $40 - $65