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Model Validation Remote Jobs in Connecticut (NOW HIRING)

E-Solutions

AI/ML Tech Lead / Architect

Hartford, CT · On-site +1

... they can work remote. This is the least preferred option. Detailed * Collaborate with cross ... Conduct thorough testing and validation to ensure the accuracy and reliability of the models.

The Hartford

Director of Data Science

Hartford, CT · On-site +1

$153K - $229K/yr

... documentation, validation, and governance, along with scalable processes to monitor model ... Candidates who do not live near an office may be considered for a remote work arrangement with ...

Trinity Health

Diagnostic Radiologist

Hartford, CT · On-site +1

Prior experience with hybrid onsite/remote workflow models. * Strong dedication to quality, safety ... A valid medical license (or eligibility) in Connecticut. * DEA registration and state-controlled ...

The Hartford

Data Scientist

Hartford, CT · On-site +1

$90K - $135K/yr

This role can have a Hybrid or Remote work arrangement depending on experience and skillset ... end modeling lifecycle, from requirements gathering to monitoring and validation * Able to ...

Aflac, Incorporated

PLADS Business Analyst

Farmington, CT · Remote

$75K - $95K/yr

If the role is remote, there may be occasions that you are requested to come to the office based on ... Conducts systems analysis with a focus on technical process models and use cases. * Provides ...

Aflac

PLADS Business Analyst

Farmington, CT · Remote

$75K - $95K/yr

If the role is remote, there may be occasions that you are requested to come to the office based on ... Conducts systems analysis with a focus on technical process models and use cases. * Provides ...

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All JobsModel Validation Remote JobsModel Validation Remote Jobs in Connecticut

Model Validation Remote information

What is the difference between Model Validation Remote vs Model Validation on-site?

AspectModel Validation RemoteModel Validation on-site
Work EnvironmentRemote, home-basedOn-site, office or client location
Required CredentialsSimilar certifications, e.g., CFA, FRM, or relatedSame as remote, often with additional in-person requirements
Industry UsageFinancial institutions, banks, asset managersSame industries, with in-person collaboration
Work FlexibilityHigh, flexible hours and locationLess flexible, fixed hours and location

Both remote and on-site model validation roles require similar credentials and industry knowledge. The main difference lies in the work environment and flexibility, with remote positions offering greater convenience and location independence, while on-site roles facilitate direct collaboration and immediate access to resources.

What are the key skills and qualifications needed to thrive as a Model Validation Remote, and why are they important?

To thrive as a Model Validation Remote, you need a strong background in quantitative disciplines such as mathematics, statistics, or finance, typically supported by a relevant degree. Proficiency with statistical software (like SAS, R, or Python), model risk management frameworks, and familiarity with regulatory guidelines (such as SR 11-7) are commonly required. Analytical thinking, attention to detail, and strong written communication are crucial soft skills in this role. These skills ensure accurate model assessments, regulatory compliance, and effective communication of complex findings to stakeholders.

What is model validation in a remote job context?

Model validation, especially in a remote setting, involves evaluating and verifying the accuracy, performance, and reliability of statistical or machine learning models from a location outside of a traditional office. Professionals in this role typically assess whether models meet regulatory requirements, function as intended, and are free from biases or errors. Remote model validators use various tools and techniques to conduct tests, write reports, and communicate findings with stakeholders via digital platforms. This work is essential in sectors like finance, insurance, and tech, where robust models drive critical decisions. Successful remote model validation requires strong analytical skills, clear communication, and proficiency with data analysis tools.

What are some common challenges faced by professionals in remote model validation roles, and how can they be addressed?

Remote model validation professionals often encounter challenges such as maintaining clear communication with model developers and stakeholders, accessing secure data environments, and staying updated with evolving regulatory standards. To address these, it's important to leverage robust collaboration tools, schedule regular check-ins with cross-functional teams, and participate in ongoing training or knowledge-sharing sessions. Establishing clear documentation protocols and ensuring secure remote access to necessary data can also help maintain productivity and compliance.
What are the most commonly searched types of Model Validation jobs in Connecticut? The most popular types of Model Validation jobs in Connecticut are:
What are popular job titles related to Model Validation Remote jobs in Connecticut? For Model Validation Remote jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Model Validation Remote jobs in Connecticut look for? The top searched job categories for Model Validation Remote jobs in Connecticut are:
What cities in Connecticut are hiring for Model Validation Remote jobs? Cities in Connecticut with the most Model Validation Remote job openings:
Model Validation Remote jobs near you
Infographic showing various Model Validation Remote job openings in Connecticut as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.
AI/ML Tech Lead / Architect

AI/ML Tech Lead / Architect

E-Solutions

Hartford, CT • On-site, Remote

Other

Posted 27 days ago

Job description

Mandatory Skills
Google Vertex
Google CCAI
LLM's
Prompt tunning
Data Chunking
Speech to text and text to speech conversion
Cloud Run
Working with Product Teams
Location Preference:
1st Preference: Hartford, CT - Whole team is onsite at Hartford, CT so this location will be first preference. Any nearby location will also work if candidate is willing to relocate from Day 1.
2nd Preference: Candidates will relocate to Hartford, CT.
3rd Preference: Candidates from Richardson, TX, Minneapolis, MN. They will be working from UHG office in this location.
4th Preference: Candidates from NY, NJ and Boston region who are willing to travel as needed to Hartford office and rest of the days they can work remote. This is the least preferred option.
Detailed Job Description:
  • Collaborate with cross-functional teams to understand business requirements and translate them into scalable and efficient AI solutions.
  • Architecture experience - Mandatory
  • Candidates should be hands on AI/ML development - Mandatory
  • Experience in using Google CCAI (Contact Center AI) /CES (Customer Experience Suite) platform and it's components.
  • Advanced experience in production grade Machine Learning Model design and implementation including LLMs, Model Evaluation and MLOps.
  • In depth exposure and experience in designing and implement machine learning models using Google Vertex AI & Python in the context of Conversational AI.
  • Design, build, and deploy machine learning models on the Google Cloud Platform.
  • Experience in agentic architecture-based implementations and advanced Retrieval Augmented Generation.
  • Conduct thorough testing and validation to ensure the accuracy and reliability of the models. Experience in Eval frameworks and eval metrics.
  • Optimize and fine-tune machine learning models for performance, efficiency, and accuracy. Experience in Parameter Efficient Fine Tuning will be an added advantage.
  • Stay updated on the latest advancements in machine learning and AI technologies.
  • Ability to directly deal with tech experts from product companies such as google and drive solutions to meet customer expectations, goals
Maturity working in a customer environment with understanding the boundaries

Apply