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Artificial Intelligence Developer Intern Jobs in Connecticut

Whiterabbit.ai

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... with artificial intelligence. We collaborate closely with one of the top medical schools in the ...

Whiterabbit.ai

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... with artificial intelligence. We collaborate closely with one of the top medical schools in the ...

Whiterabbit.ai

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... with artificial intelligence. We collaborate closely with one of the top medical schools in the ...

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Artificial Intelligence Developer Intern information

What are the key skills and qualifications needed to thrive as an artificial intelligence developer intern?

To thrive as an Artificial Intelligence Developer Intern, you need a solid foundation in programming (especially Python), mathematics (linear algebra, probability, statistics), and basic AI/ML concepts, typically supported by coursework or relevant project experience. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), version control systems (like Git), and cloud platforms is highly valuable. Curiosity, problem-solving skills, and effective communication help interns learn quickly, collaborate with teams, and present technical concepts clearly. These skills are essential for contributing meaningfully to projects, adapting to new challenges, and growing within the fast-evolving AI field.

What does an artificial intelligence developer intern do?

An Artificial Intelligence Developer Intern assists in designing, developing, and testing AI models and applications under the supervision of experienced engineers. Their tasks often include data preprocessing, algorithm implementation, model training, and performance evaluation. Interns may work with technologies such as machine learning, natural language processing, or computer vision, depending on the organization's focus. The internship provides hands-on experience with real-world AI projects and helps interns gain practical skills for a future career in artificial intelligence.

Is an artificial intelligence developer intern worth it?

An artificial intelligence developer intern position provides hands-on experience with AI algorithms, programming languages like Python, and tools such as TensorFlow or PyTorch. It can enhance skills, build a professional portfolio, and improve job prospects in the AI field, making it a valuable opportunity for aspiring developers.

What types of projects and responsibilities can an artificial intelligence developer intern expect to work on during their internship?

As an Artificial Intelligence Developer Intern, you can expect to assist with data preprocessing, model training, and algorithm development for projects involving machine learning or deep learning. Typical responsibilities may include collaborating with senior engineers on experimental model design, preparing datasets, and evaluating model performance. Interns often participate in code reviews and team meetings, gaining hands-on experience with real-world AI applications. This role provides valuable exposure to industry-standard tools and the opportunity to contribute to impactful projects, which is beneficial for future career growth.
What cities in Connecticut are hiring for Artificial Intelligence Developer Intern jobs? Cities in Connecticut with the most Artificial Intelligence Developer Intern job openings:
Artificial Intelligence Developer Intern jobs near you

IT - Lead Consultant | Artificial Intelligence | Artificial Intelligence - ALL

Spruce Infotech

Groton, CT • On-site

Full-time

Re-posted 24 days ago

Job description

Job Title Lead Consultant | Artificial Intelligence | Artificial Intelligence - ALL
Work Location & Reporting Address Groton, CT 6340
Vendor Rate XXX/Hr.
Contract duration 12
Target Start Date 18 May 2026
Job Details:
TECHNICAL SKILLS:
Azure Foundation & Platform
- Azure Foundation and Platform Build
- Provisioning and configuring Azure foundation services
- Managing environments (Dev/Test/Prod) - subscriptions, resource groups
- Azure governance controls (Azure Policies, RBAC, authorization standards)
- Azure Application Gateway configuration (routing rules, backend pools, TLS/SSL, health probes)
AI/ML Expertise
- RAG (Retrieval-Augmented Generation) architecture and implementation
- Prompt Engineering and LLM optimization
- AI model monitoring, evaluation, and performance tuning
- Vector databases and embedding models
- AI/ML frameworks (PyTorch, TensorFlow, LangChain)
Logging, Monitoring & Security
- Logging, monitoring, and auditing capabilities for GENESIS
- Audit logging module (before-and-after values for traceability/compliance)
- Azure Key Vault integration
- Certificate lifecycle management and privileged access workflows
DevOps & Infrastructure
- Terraform scripts
- GitHub Actions
- CI/CD pipeline design and implementation
- Docker/Kubernetes
Database & Data
- PostgreSQL database administration
- Oracle Database (Argus DB, SAI_OWNER schema)
- Data repository structures for ingestion, storage, and downstream consumption
- JSON/XML data processing
Backup/DR & Business Continuity
- Backup/DR and Business Continuity strategies
- Backup policies, retention, restore testing
- DR approach with RTO/RPO assumptions
DOMAIN KNOWLEDGE
- Life Sciences
- Pharmacovigilance and drug safety processes
- E2B (Electronic Submission) standards
- Regulatory compliance (FDA, EMA)
LEADERSHIP & SOFT SKILLS
- Leading cross-functional teams across
- Mentoring the AMS team
- Stakeholder communication and presentation
- Agile/Scrum methodologies
- Architecture documentation (diagrams, decision logs, Design Specification Documents)
- Engineering support for deployments and defect triage
KEY RESPONSIBILITIES IN GENESIS AMS
1. Lead AI AMS team (AI Engineers) India
2. Drive Prompt Engineering for VOX and SAI
3. Support L2/L3 ticket resolution for AI-related issues
4. Coordinate with Infrastructure team for Azure resources
5. Provide engineering support for deployments
6. Support defect triage (platform, gateway, logging/audit, infrastructure issues)
Detailed Job Description
We are looking to staff an experienced onsite AI Technical Lead (Someone at the senior TL or architect level) who has a robust background in Azure infrastructure, CI/CD data pipeline management, and PostgreSQL. Ideally, we'd like to find someone with experience in Life Sciences or Pharmacovigilance to align with the domain requirements.
The role will be based in Parsippany, NJ.
Minimum years of experience
>10 years
Certifications Needed :No
Top 3 responsibilities you would expect the Subcon to shoulder and execute
Lead AI AMS team AI Engineers India
Drive Prompt Engineering for VOX and SAI
Support L2L3 ticket resolution for AIrelated issues
Interview Process (Is face to face required?) Yes

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