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Contract Machine Learning Startup Jobs in Connecticut

Staffingine LLC

Generative AI Architect

Orange, CT · On-site

Contract * ideate/originate AI Use Cases within the organization. * Act as a strategic consultant ... Proven expertise in deploying machine learning models and AI applications in a cloud environment ...

Varsity Tutors

Data Science Tutor

New Haven, CT · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Varsity Tutors

Data Science Tutor

Norwalk, CT · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Varsity Tutors

Data Science Tutor

Stamford, CT · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Varsity Tutors

Data Science Tutor

Bridgeport, CT · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Varsity Tutors

Data Science Tutor

Hartford, CT · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

A.R. Mazzotta

Senior Lathe Machinist

Hartford, CT · On-site

$27 - $33/hr

Senior CNC Machinist - Mazak Lathe (Aerospace) * $27-$33/hr | 1st Shift | Contract-to-Hire ... intellectual disability, learning disability, or physical disability, religion, political ...

CACI International, Inc.

CNC Machinist

Danbury, CT

$82K/yr

Troubleshoot machine anomalies with the ability to Identify problems and escalate Qualifications ... S. citizenship in support of contract requirements. Additionally, if you are a dual citizen (a ...

CACI International, Inc.

CNC Machinist

Danbury, CT · On-site

$41K - $82K/yr

Troubleshoot machine anomalies with the ability to Identify problems and escalate Qualifications ... S. citizenship in support of contract requirements. Additionally, if you are a dual citizen (a ...

CACI International, Inc.

CNC Machinist

Danbury, CT · On-site

$41K - $82K/yr

Troubleshoot machine anomalies with the ability to Identify problems and escalate Qualifications ... S. citizenship in support of contract requirements. Additionally, if you are a dual citizen (a ...

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All JobsContract Machine Learning Startup JobsContract Machine Learning Startup Jobs in Connecticut

Contract Machine Learning Startup information

What are some common challenges faced by machine learning professionals working on a contract basis at startups?

Machine learning professionals working as contractors at startups often face challenges such as rapidly changing project scopes, limited access to large datasets, and the need to quickly adapt to new tools and frameworks. Startups typically move fast, so contractors must be comfortable with ambiguity and prioritize delivering value in short timeframes. Additionally, they may need to collaborate closely with cross-functional teams, such as product managers and engineers, to ensure that machine learning solutions align with business goals.

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

AspectContract Machine Learning StartupData Scientist
CredentialsRelevant degrees, certifications in ML/AITypically similar credentials, often with advanced degrees
Work EnvironmentProject-based, startup setting, flexible hoursOffice or remote, corporate or research settings
Employer & IndustryStartups in tech, AI, or data-driven sectorsVaried industries including tech, finance, healthcare
Search & Comparison IntentUnderstanding contract roles in ML startupsExploring data science career options

Contract Machine Learning Startup roles focus on short-term, project-based work within startup environments, often requiring specialized skills in ML and AI. Data Scientists typically work in more established companies or research settings, with similar credentials but often in a full-time capacity. Both roles demand strong technical backgrounds, but contract roles offer flexibility and varied projects, while Data Scientists may have more stability and broader responsibilities.

What are the key skills and qualifications needed to thrive in a Contract Machine Learning Startup role, and why are they important?

Success in a Contract Machine Learning Startup role generally requires expertise in machine learning algorithms, data analysis, and a solid background in computer science or related fields. Familiarity with programming languages such as Python or R, experience with ML frameworks like TensorFlow or PyTorch, and knowledge of cloud platforms (e.g., AWS, GCP) are typically expected. Strong problem-solving, adaptability, and effective communication help professionals collaborate with clients and respond to rapidly changing project requirements. These skills and qualities are vital to deliver innovative, scalable solutions in fast-paced, outcome-driven startup environments.

What is a Contract Machine Learning Startup?

A Contract Machine Learning Startup is a company or team that provides machine learning solutions and services to clients on a contract basis. Instead of developing their own products, these startups typically work with other businesses to build custom machine learning models, analyze data, and help integrate AI technologies into existing workflows. They may offer expertise in areas such as natural language processing, computer vision, or predictive analytics, and usually operate on short-term or project-based contracts. This approach allows client companies to access specialized knowledge without hiring full-time data scientists or engineers.
What are the most commonly searched types of Machine Learning Startup jobs in Connecticut? The most popular types of Machine Learning Startup jobs in Connecticut are:
What are popular job titles related to Contract Machine Learning Startup jobs in Connecticut? For Contract Machine Learning Startup jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Contract Machine Learning Startup jobs in Connecticut look for? The top searched job categories for Contract Machine Learning Startup jobs in Connecticut are:
What cities in Connecticut are hiring for Contract Machine Learning Startup jobs? Cities in Connecticut with the most Contract Machine Learning Startup job openings:
Contract Machine Learning Startup jobs near you
Infographic showing various Contract Machine Learning Startup job openings in Connecticut as of July 2026, with employment types broken down into 6% Internship, 71% Full Time, 11% Part Time, 6% Temporary, and 6% Nights. Highlights an 93% In-person, and 7% Remote job distribution.
Generative AI Architect

Generative AI Architect

Staffingine LLC

Orange, CT • On-site

Contractor

Re-posted yesterday

Job description

Job Title: Generative AI Architect
Job Location: Orange, Connecticut
Job Type: Contract

Job Description:

  • ideate/originate AI Use Cases within the organization.
  • Act as a strategic consultant to business leaders, facilitating AI ideation workshops to identify innovative, high-impact AI use cases. 
  • Analyze industry trends, emerging AI technologies, and competitive landscapes to drive disruptive AI innovation within the organization. 
  • Provide expert guidance on how AI can enhance business models, optimize operations, and create new revenue streams.            
  •  conduct AI use case feasibility assessment and develop AI solution architecture and implementation plan.
  • Conduct in-depth feasibility assessments of AI use cases, evaluating technical viability, data availability, and risks. Develop comprehensive technical documentation, including architecture diagrams, system specifications, and design decisions. Present AI solutions to senior stakeholders.
  • Collaborate with business stakeholders to translate AI opportunities into well-defined business cases with clear value propositions. 
  • Define the technical architecture, infrastructure, and data requirements for AI initiatives. Develop high-level solution designs that outline AI models, ML pipelines, and system integrations. Provide input on technology selection, including AI frameworks, cloud platforms (Azure, AWS), and MLOps tools. Define resource and skillset requirements for AI build projects. Estimate project costs, infrastructure needs, and timelines, assisting in budget planning for AI initiatives. 
  • lead the implementation of AI use cases, managing team of AI Engineers, Data Scientists, ML Ops engineers and others.
  • Ensure quality and schedule of AI use case delivery. Regularly communicate development progress with key stakeholders and receive feedback from them.
  • Make sure best coding practices/standards are being followed by the team, code reviews, technical troubleshooting, drive day to day development task prioritization, allocation & coordination for offshore team members via Jira based scrum process, lead technical coordination with onsite team.
  • Continuously optimize and tune generative models, retrieval algorithms, and pipelines to enhance performance and accuracy. Ensure AI solutions adhere to security, compliance, and privacy standards, particularly for data-sensitive applications. Drive organizational AI maturity by defining standards for model monitoring, performance evaluation, and continuous improvement.
  • Provide leadership in cloud architecture design, deployment, and scaling strategies, ensuring that AI systems are efficient, secure, and maintainable within the Azure/AWS ecosystem.
  • Governance & Risk Management – evaluate risks of AI use cases and suggest mitigations strategies.
  • Establish AI governance frameworks, ensuring adherence to best practices in AI ethics, model transparency, data privacy, etc.

Experience

  • 8-10 years of experience in the ideation, design and end-to-end implementation of AI solutions.
  • Proven track record of leading teams of AI engineers and reporting to senior leadership.
  • At least 5 years of hands-on experience working with Azure AI, Azure OpenAI, Azure Cognitive Services, and Azure Machine Learning. Experience with AWS is a plus.
  • Proven expertise in deploying machine learning models and AI applications in a cloud environment (Azure preferred, AWS experience is a plus).

Technical Skills:

  • Strong proficiency in Natural Language Processing (NLP) and deep learning techniques for building AI models.
  • Experience with large language models (LLMs) such as GPT, BERT, and OpenAI's fine-tuned models.
  • Knowledge of retrieval-based techniques, including semantic search, vector databases, and information retrieval systems.
  • Familiarity with APIs and cloud-based data storage solutions (e.g., Azure Blob Storage, Cosmos DB, etc.).
  • Experience with DevOps practices for machine learning, including CI/CD for AI systems, containerization (Docker), and orchestration (Kubernetes).

Additional Skills:

  • Solid understanding of cloud architecture, scalability, and security best practices in cloud computing.
  • Experience in AWS cloud services is a strong advantage (e.g., AWS Lambda, S3, SageMaker).
  • Familiarity with data pipeline technologies and distributed data processing frameworks (e.g., Spark, Hadoop) is a plus.
  • Excellent problem-solving skills and the ability to work in fast-paced environments.

Soft Skills:

  • Strong communication and collaboration skills, with the ability to explain complex AI concepts to non-technical stakeholders.
  • Leadership abilities to mentor teams and drive AI strategy in alignment with business goals.
  • Ability to work independently and in team settings, balancing multiple priorities.