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Temporary Meta Machine Learning Jobs in Colorado

UST Inc

Senior AI/ML Engineer

Denver, CO

$106K - $159K/yr

Good understanding of machine learning concepts and lifecycle * Hands-on experience with ML ... Full-time temporary employees receive 6 days of paid sick leave each year (pro-rated for new hires ...

Essel

Skilled Construction Laborer

Telluride, CO · On-site

$22 - $28/hr

Demonstrating proficiency in using power tools and construction machinery. * Ensuring compliance ... temporary structures, and scaffolding. * Assisting skilled tradesmen and learning new techniques ...

Essel

Skilled Construction Laborer

Telluride, CO · On-site

$22 - $28/hr

Demonstrating proficiency in using power tools and construction machinery. * Ensuring compliance ... temporary structures, and scaffolding. * Assisting skilled tradesmen and learning new techniques ...

Essel

Skilled Construction Laborer

Telluride, CO

$22 - $28/hr

Demonstrating proficiency in using power tools and construction machinery. * Ensuring compliance ... temporary structures, and scaffolding. * Assisting skilled tradesmen and learning new techniques ...

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Temporary Meta Machine Learning information

What are the key skills and qualifications needed to thrive as a Temporary Meta Machine Learning Engineer, and why are they important?

To thrive as a Temporary Meta Machine Learning Engineer, you need a strong background in computer science, statistics, and machine learning, typically with experience in Python and relevant ML frameworks. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms, and version control systems is often required, along with a proven ability to rapidly learn new technologies. Strong problem-solving skills, adaptability, and effective communication are essential for collaborating within dynamic teams and meeting project goals on tight timelines. These skills ensure that you can quickly contribute to impactful ML projects, deliver results efficiently, and integrate well into fast-paced, innovative environments.

What are some common challenges faced by professionals in temporary machine learning roles at Meta, and how can they be addressed?

Professionals in temporary machine learning roles at Meta often encounter challenges such as quickly acclimating to complex codebases, integrating with established teams, and delivering impactful results within a limited timeframe. Success in these roles typically requires strong technical skills, adaptability, and effective communication. Proactively seeking guidance, leveraging available documentation, and collaborating closely with permanent team members can help overcome these hurdles and maximize contributions during the temporary assignment.

What are Temporary Meta Machine Learning jobs?

Temporary Meta Machine Learning jobs are short-term positions at Meta (formerly Facebook) that focus on developing, deploying, or researching machine learning models and technologies. These roles may support ongoing projects, fill gaps during employee leave, or address spikes in workload. Responsibilities can include data preprocessing, model training, evaluation, and collaborating with cross-functional teams. Temporary roles often give candidates exposure to Meta's cutting-edge AI tools and processes, and may sometimes lead to permanent opportunities.

What is the difference between Temporary Meta Machine Learning vs Data Scientist?

AspectTemporary Meta Machine LearningData Scientist
CredentialsTypically requires a background in computer science, statistics, or related fields; certifications in machine learning or data analysis are commonRequires a degree in computer science, statistics, or related fields; certifications like Certified Data Scientist are advantageous
Work EnvironmentProject-based, often contract roles within tech companies, startups, or consulting firmsFull-time or contract roles in various industries including finance, healthcare, and tech
Industry UsagePrimarily in tech, AI, and machine learning-focused companiesWidely used across multiple industries including finance, healthcare, marketing, and tech

Temporary Meta Machine Learning roles focus on short-term projects involving machine learning model development and deployment, often requiring specialized technical skills. Data Scientist roles are broader, encompassing data analysis, statistical modeling, and insights generation across diverse industries. While both roles require strong analytical skills and technical knowledge, Temporary Meta Machine Learning positions are more specialized in AI and machine learning applications.

What are the most commonly searched types of Meta Machine Learning jobs in Colorado? The most popular types of Meta Machine Learning jobs in Colorado are:
What job categories do people searching Temporary Meta Machine Learning jobs in Colorado look for? The top searched job categories for Temporary Meta Machine Learning jobs in Colorado are:
What cities in Colorado are hiring for Temporary Meta Machine Learning jobs? Cities in Colorado with the most Temporary Meta Machine Learning job openings:
Temporary Meta Machine Learning jobs near you
Senior Salesforce Data Cloud Solution Architect

Senior Salesforce Data Cloud Solution Architect

CEDENT

Denver, CO

$40 - $60/hr

Contractor

Medical, Dental, Vision, PTO

Posted 27 days ago

Job description

 We seek a Salesforce Solution Architect with strong data architecture and integration expertise to lead the design, deployment, and optimization of their new Salesforce Data Cloud implementation. This role requires someone with a deep understanding of Salesforce architecture, data modeling, and customer data management who can develop scalable, innovative solutions. The ideal candidate will bring their knowledge of Salesforce solutions to shape and launch the Data Cloud, working closely with cross-functional teams to align Data Cloud capabilities with business objectives—even if Data Cloud itself is new to them.

Job Duties - Guide the architecture and design of the Salesforce Data Cloud solution, ensuring it meets business needs, scalability, and compliance standards.
Lead data strategy, leveraging previous experience in data management and modeling to build a robust customer data model optimized for Salesforce Data Cloud.
Develop and oversee data integration strategies, integrating data from other systems into Salesforce Data Cloud with tools such as MuleSoft and APIs to ensure accuracy and integrity.
Provide hands-on leadership and mentorship to teams working with Data Cloud, sharing best practices in configuration and technical implementation.
Establish and manage data governance to meet compliance (e.g., GDPR, CCPA) and ensure data security.
Collaborate with marketing, sales, IT, and service teams to gather requirements, design solutions, and communicate effectively with both technical and non-technical stakeholders.
Develop detailed documentation and lead training sessions to support user adoption and maximize the impact of Salesforce Data Cloud.

Job Requirements - 8+ years of experience with Salesforce products and.
Proven experience in data modeling, ETL, and handling large-scale data.
Strong knowledge of data integration and API-based integrations (experience with MuleSoft or other integration tools is desirable).
Proficiency in SQL and a solid understanding of data management best practices.
Exceptional communication skills for explaining complex technical concepts to diverse audiences.
Demonstrated problem-solving skills and a proactive approach to data solutions.
ALL EXPERIENCE MUST BE VERIFIABLE

Desired Skills & Experience - Familiarity with Salesforce Marketing Cloud, Tableau, or other customer data platforms.
Salesforce Certified Architect certifications (e.g., Application Architect, Data Architect, Integration Architect)
Experience with AI and machine learning integrations.
Compensation 
Hourly Rate Range - $40-$60/ hr 

Benefits for this role include:

  • Health, Dental, and Vision Insurance

  • Paid Time Off (vacation and holidays)

  • Paid Sick Leave (HFWA-Compliant) – available to all employees, including part-time and temporary staff, for health and safety needs

(Cedent provides all legally required benefits under Colorado law, including HFWA-compliant sick leave.)

Application Details

  • How to Apply: Submit your resume and cover letter via Cedent Careers Portal at www.cedentinc.com/careers or via email to hr@cedentinc.com.

  • Deadline: Applications accepted until 31sOct 2025, 11:59PM CST

We are an Equal Pay Employer. All employment decisions, including compensation, benefits, hiring, training, and promotions, are made based on merit, qualifications, and business needs. We do not discriminate on the basis of gender, race, ethnicity, age, disability, sexual orientation, or any other protected characteristic. We are committed to ensuring equal pay for equal work and regularly review our compensation practices to promote fairness, equity, and transparency across our organization.

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About Cedent

Sourced by ZipRecruiter

CEDENT strives to attract and retain the best people and provide an environment where they can all develop professionally and build a rewarding career. As a result, we create an inclusive environment that is rich in diversity, acknowledges each individual's uniqueness and promotes respect, personal achievement and stewardship. Our clients are global and so is CEDENT. We build and maintain a global workforce that includes people from different backgrounds, with a vast range of skills and experience all united by a common culture and commitment to help our clients achieve high performance. Cultivating a diverse workforce and inclusive work environment makes business sense. Our peoples varied skills are the talent engine that powers CEDENT, enabling it in turn to deliver the innovative solutions that help our clients outperform competitors.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Plano, TX, US

Year founded

2008

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