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Machine Learning Data Associate Jobs in Wallingford, CT

Deloitte

AI Data Engineer Senior Consultant

Hartford, CT · On-site

$115.50K - $138.70K/yr

They are seeking an AI Data Engineer Senior Consultant to build and operate the data, features, and ... machine learning training and real-time inference, including online and offline consistency ...

The Hartford

Director of Data Science

Hartford, CT · On-site +1

$153.20K - $229.80K/yr

Dir Data Science - GD06AE We're determined to make a difference and are proud to be an insurance ... Drive modernization through advanced modeling techniques, machine learning, and AI to enhance ...

Deloitte

AI Solutions Architect

Hartford, CT · On-site

$63.50 - $83.75/hr

... Machine Learning Engineer, Microsoft Azure AI Engineer Associate, Microsoft Azure Data Scientist Associate, or Microsoft Azure Solutions Architect Expert The wage range for this role takes into ...

Deloitte

AI and Data Science Engineer III

Hartford, CT · On-site +1

$115.50K - $138.70K/yr

AI and Data Science Engineer III Position Summary Our Deloitte Human Capital team transforms ... Deliver governed datasets and feature engineering and serving patterns for machine learning ...

Yale New Haven Health

Data Scientist II

New Haven, CT · On-site

The data scientist applies analytic skills to understand forecasting problems facing the health ... machine learning approaches to develop predictive solutions. In addition, the scientist must ...

Corpay

Growth & Data Consultant

Meriden, CT · On-site +1

... Machine Learning module (AVA) across the customer base Design, develop, and optimise AI-powered ... data analysis to support account management and improve client outcomes Collaborate cross ...

Tiger Analytics Inc.

GenAI Data Engineer

Hartford, CT · Remote

$117.20K - $140.70K/yr

Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from ...

Tiger Analytics Inc.

GenAI Data Engineer

Hartford, CT

$115.50K - $138.70K/yr

Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from ...

Tiger Analytics Inc.

GenAI Data Engineer

Hartford, CT · On-site +1

$115.50K - $138.70K/yr

Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from ...

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How much do machine learning data associate jobs pay per hour?

As of May 31, 2026, the average hourly pay for machine learning data associate in Wallingford, CT is $18.79, according to ZipRecruiter salary data. Most workers in this role earn between $15.43 and $20.00 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Machine Learning Data Associate, and why are they important?

To thrive as a Machine Learning Data Associate, you need strong analytical skills, attention to detail, and a basic understanding of data annotation and labeling processes, often supported by a degree in computer science or a related field. Familiarity with data management tools, annotation platforms, and sometimes scripting languages like Python is typically required. Strong communication, collaboration, and problem-solving abilities help you work efficiently with data science teams and ensure high-quality outcomes. These skills and qualities are crucial for producing accurate datasets that directly impact the effectiveness of machine learning models.

How does a Machine Learning Data Associate typically collaborate with data scientists and engineers within a project team?

As a Machine Learning Data Associate, you play a vital role in supporting data scientists and engineers by annotating, cleaning, and organizing large datasets to ensure high data quality. You'll frequently communicate with team members to clarify labeling guidelines, provide feedback on data inconsistencies, and report any edge cases encountered during annotation. This collaboration ensures that the datasets used for training machine learning models are accurate and comprehensive, directly impacting the success of the project. Expect regular team meetings and ongoing feedback loops to maintain alignment with evolving project requirements.

What are Machine Learning Data Associates?

Machine Learning Data Associates are professionals who support the development of machine learning models by preparing, labeling, and validating data sets. Their work ensures that data used for training algorithms is accurate, consistent, and properly annotated. They may also assist with data cleaning, quality checks, and sometimes basic data analysis tasks. This role is crucial in industries where high-quality labeled data is essential for building effective AI systems.

What is the difference between Machine Learning Data Associate vs Data Analyst?

AspectMachine Learning Data AssociateData Analyst
Required SkillsData cleaning, labeling, basic programming, understanding of ML workflowsData interpretation, visualization, statistical analysis
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, marketing, healthcare sectors
Common CertificationsData Science certifications, Python, SQLExcel, Tableau, SQL certifications

The main difference is that Machine Learning Data Associates focus on preparing and labeling data specifically for machine learning models, while Data Analysts interpret data to generate insights for business decisions. Both roles require strong data skills and often overlap, but their primary objectives and work environments differ.

What cities near Wallingford, CT are hiring for Machine Learning Data Associate jobs? Cities near Wallingford, CT with the most Machine Learning Data Associate job openings:
Machine Learning Data Associate jobs near you
Infographic showing various Machine Learning Data Associate job openings in Wallingford, CT as of May 2026, with employment types broken down into 76% Full Time, and 24% Part Time. Highlights an 96% Physical, 3% Hybrid, and 1% Remote job distribution, with an average salary of $39,080 per year, or $18.8 per hour.
AI Data Engineer Senior Consultant

AI Data Engineer Senior Consultant

Deloitte

Hartford, CT • On-site

$115.50K - $138.70K/yr

Full-time

Posted 11 days ago

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services

Job description

Job Summary:
Deloitte is a leading professional services firm that transforms technology platforms and drives innovation. They are seeking an AI Data Engineer Senior Consultant to build and operate the data, features, and GenAI foundations for Human Capital AI products and analytics, collaborating with various teams to deliver reliable and scalable AI solutions.
Responsibilities:
• Partner with the Lead AI Solutions Architect and AI Data Engineer to translate Human Capital product requirements into technical designs and delivered solutions, including application programming interfaces, services, pipelines, and containerized or serverless components
• Build and operationalize large language model-enabled capabilities, including copilots, knowledge assistants, summarization, and policy question-and-answer solutions using secure endpoints, tool calling, and reusable prompt and context patterns
• Implement retrieval-augmented generation patterns, including document ingestion, chunking, embeddings, vector or hybrid search, and retrieval and evaluation telemetry
• Deliver governed datasets and feature engineering and serving patterns for machine learning training and real-time inference, including online and offline consistency, caching, latency targets, and backfills
• Implement privacy, access, quality, lineage, monitoring, observability, testing, deployment, and incident response practices for production artificial intelligence and data solutions
Qualifications:
Required:
• Bachelor's degree in Computer Science, Engineering, Statistics, Data Science, or another STEM field
• 4+ years of experience building and delivering large language model or generative artificial intelligence solutions using Claude-, GPT-, or Gemini-class models, including prompt design, context design, tool calling, evaluation, and production integration
• 4+ years of experience implementing retrieval-augmented generation, document processing, embeddings, and vector or hybrid search in enterprise environments
• 4+ years of experience in data engineering, including data modeling, batch or streaming pipelines, structured and unstructured data processing, and feature engineering
• 4+ years of experience building production inference services and enterprise integrations using application programming interfaces, Representational State Transfer (REST), GraphQL, event-driven patterns, continuous integration and continuous deployment, infrastructure as code, Docker, Kubernetes, and monitoring tools
• Ability to travel 0-25%, on average, based on the work you do and the clients and industries/sectors you serve.
• Limited immigration sponsorship may be available.
Preferred:
• Master's degree or doctorate in Computer Science, Engineering, Statistics, Data Science, or a similar field
• Cloud or artificial intelligence or machine learning certification
• 4+ years of experience with Workday, SAP SuccessFactors, Oracle HCM, Salesforce, or human resources data domains
• 4+ years of experience operationalizing machine learning operations or large language model operations, including evaluation, monitoring, governance workflows, and model or prompt version management
• 4+ years of experience using Amazon Web Services, Microsoft Azure, or Google Cloud Platform for data platforms and scalable compute
• 4+ years of experience translating business requirements into acceptance criteria and release increments
Company:
Deloitte is a business consulting company that offers audit, consulting, financial advisory, and tax services. Founded in 1845, the company is headquartered in London, GBR, with a team of 10001+ employees. The company is currently Late Stage.

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