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Contract Meta Machine Learning Jobs in Arizona (NOW HIRING)

AI ML Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Contract * Programming Languages Python Pandas NumPy Scikitlearn SQL * Statistical Modeling Machine Learning Regression Classification Clustering Time Series Forecasting * Data Visualization Power BI ...

The Role As a Recruitment Consultant, you'll focus on permanent and contract roles across the data, analytics, AI, and machine learning markets. Your daily responsibilities will include: * Business ...

The Role As a Recruitment Consultant, you'll focus on permanent and contract roles across the data, analytics, AI, and machine learning markets. Your daily responsibilities will include: * Business ...

Translates and champions our Machine Learning and advanced analytics capabilities for non-technical ... Furthermore, they do not establish a contract for employment and are subject to change at the ...

Translates and champions our Machine Learning and advanced analytics capabilities for non-technical ... Furthermore, they do not establish a contract for employment and are subject to change at the ...

Translates and champions our Machine Learning and advanced analytics capabilities for non-technical ... Furthermore, they do not establish a contract for employment and are subject to change at the ...

Lead Data & AI Engineer

Phoenix, AZ · On-site +1

$50 - $60/hr

Phoenix, AZ (hybrid remote) Type: 6-month contract to hire Pay: $50-60/hr We're looking for a Lead ... machine learning models that improve cost, quality, and patient outcomes. Your role · Design ...

Phoenix, AZ (Day 1 onsite Hybrid 3 days a week in office) Duration: Long Term Contract Bachelor ... Strong knowledge of machine learning, deep learning, natural language processing, computer vision ...

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Contract Meta Machine Learning information

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

To thrive as a Contract Meta Machine Learning Engineer, you need a strong background in computer science, statistics, and advanced machine learning concepts, often supported by a relevant degree or equivalent experience. Familiarity with programming languages like Python, frameworks such as TensorFlow or PyTorch, and version control systems is essential, along with experience in meta-learning techniques. Strong analytical thinking, problem-solving abilities, and effective communication skills help you design innovative solutions and collaborate with diverse teams. These competencies are crucial to efficiently develop, implement, and optimize meta-learning models that address complex, evolving business challenges.

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

AspectContract Meta Machine LearningContract Data Scientist
Required CredentialsMaster's or PhD in Computer Science, Data Science, or related fields; experience with machine learning frameworksMaster's or PhD in Data Science, Statistics, or related fields; strong programming skills
Work EnvironmentFocus on developing and deploying machine learning models, often in AI projectsData analysis, modeling, and interpretation to inform business decisions
Employer & Industry UsageTech companies, AI startups, research institutionsFinance, healthcare, marketing, and tech firms

Contract Meta Machine Learning roles primarily focus on building and deploying machine learning models, often requiring advanced technical skills in AI. Contract Data Scientist positions involve analyzing data, creating models, and deriving insights for business strategies. While both roles require strong analytical skills and similar educational backgrounds, Meta Machine Learning roles are more specialized in AI development, whereas Data Scientist roles emphasize data analysis and interpretation.

What are some of the unique challenges faced by contract machine learning engineers at Meta, and how can candidates prepare for them?

Contract machine learning engineers at Meta often work on high-impact projects with tight deadlines and rapidly evolving requirements. One of the main challenges is quickly integrating into existing teams and understanding Meta's large-scale data infrastructure and proprietary tools. To prepare, candidates should familiarize themselves with Meta's open-source frameworks, practice adapting to new codebases, and be ready to communicate effectively with cross-functional stakeholders. Building strong collaboration skills and maintaining flexibility will help contract engineers deliver value efficiently in this fast-paced environment.

What are Contract Meta Machine Learning professionals?

Contract Meta Machine Learning professionals are specialists hired on a contractual basis to design, develop, and optimize machine learning models, often focusing on meta-learning techniques. Meta-learning, sometimes called 'learning to learn,' involves creating algorithms that can adapt to new tasks with minimal data or retraining. These professionals typically work with organizations to solve complex, data-driven problems, leveraging advanced AI techniques for efficiency and scalability. They may also help integrate these solutions into existing systems and provide guidance on best practices for model deployment.
What are the most commonly searched types of Meta Machine Learning jobs in Arizona? The most popular types of Meta Machine Learning jobs in Arizona are:
What are popular job titles related to Contract Meta Machine Learning jobs in Arizona? For Contract Meta Machine Learning jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Contract Meta Machine Learning jobs in Arizona look for? The top searched job categories for Contract Meta Machine Learning jobs in Arizona are:
What cities in Arizona are hiring for Contract Meta Machine Learning jobs? Cities in Arizona with the most Contract Meta Machine Learning job openings:
AI ML Engineer

AI ML Engineer

Staffingine LLC

Phoenix, AZ • On-site

$113K - $136K/yr

Contractor

Re-posted 18 days ago


Job description

Job Title: AI ML Engineer
Job Location: Charlotte, NC / Phoenix, AZ
Job Type: Contract

Job Description:

  • Programming Languages Python Pandas NumPy Scikitlearn SQL
  • Statistical Modeling Machine Learning Regression Classification Clustering Time Series Forecasting
  • Data Visualization Power BI Tableau Matplotlib Seaborn
  • Big Data Technologies Spark Hadoop basic understanding
  • Cloud Platforms Azure or AWS especially for data pipelines and model deployment
  • Data Engineering ETL processes data wrangling and feature engineering
  • Insurance Reinsurance Domain Knowledge Exposure to actuarial models risk assessment and claims analytics

Technical Skills:

  • R or SAS for statistical analysis
  • Experience with Natural Language Processing NLP
  • Familiarity with geospatial data and mapping tools
  • Knowledge of Monte Carlo simulations and stochastic modeling
  • Experience with Git and CICD pipelines
  • Exposure to regulatory frameworks Solvency II IFRS 17

Soft Skills:

  • Strong problem solving and critical thinking abilities
  • Excellent communication and storytelling skills for nontechnical stakeholders
  • Collaborative mindset with cross functional teams actuarial underwriting IT
  • Ability to manage multiple projects and prioritize effectively
  • Curiosity and continuous learning attitude
  • High attention to detail and data integrity

Qualifying Questions:

  • Can you describe a project where you applied machine learning to solve a business problem in the insurance or financial domain
  • How do you ensure the quality and reliability of your data before building models
  • Have you worked with actuarial teams or underwriting departments before If yes how did you contribute to their decision making process

Mandatory Skills : AI/GenAI Research