1

Scale Ai Data Labeling Jobs (Flexible Options) in Connecticut

Data Analytics Engineer (AI)

Stamford, CT

$122K - $146K/yr

Work across cloud platforms (Azure, AWS, or GCP) to scale AI workloads * Enhance reliability, security, and compliance of AI systems Required * Bachelor's or Master's degree in Computer Science, Data ...

Data Analytics Engineer (AI)

Stamford, CT · On-site

$122K - $146K/yr

Work across cloud platforms (Azure, AWS, or GCP) to scale AI workloads * Enhance reliability, security, and compliance of AI systems Required * Bachelor's or Master's degree in Computer Science, Data ...

Proven success building enterprise-scale data and AI platforms. * Experience driving AI adoption from concept to production at scale. * Strong background in AWS, Azure, GCP, and distributed systems.

Principal AI & Data Architect

Shelton, CT · Hybrid

$298K - $372K/yr

Experience driving AI adoption from concept to production at scale. * Strong background in AWS, Azure, GCP, and distributed systems. * Technical depth across lakehouse, data mesh, ETL and ELT ...

Experience driving AI adoption from concept to production at scale. * Strong background in AWS, Azure, GCP, and distributed systems. * Technical depth across lakehouse, data mesh, ETL and ELT ...

Senior Staff AI Data Engineer

Hartford, CT · On-site +1

$106K - $145K/yr

Join our team as a Senior Staff AI Data Engineer and lead the charge in developing cutting-edge AI ... Ability to lead in a lean, agile, and fast-paced environment , leveraging Scaled Agile practices

next page

Showing results 1-20

Scale Ai Data Labeling information

What are popular job titles related to Scale Ai Data Labeling jobs in Connecticut? For Scale Ai Data Labeling jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Scale Ai Data Labeling jobs in Connecticut look for? The top searched job categories for Scale Ai Data Labeling jobs in Connecticut are:
What cities in Connecticut are hiring for Scale Ai Data Labeling jobs? Cities in Connecticut with the most Scale Ai Data Labeling job openings:

Data Analytics Engineer (AI)

3B Staffing LLC

Stamford, CT

$122K - $146K/yr

Full-time

Posted 18 days ago


Job description

Senior AI Data Analytics Engineer Stamford, CT (Hybrid) local only EC:- Financial Services Client GC, USC LLM optimization, prompt engineering, embeddings & vector DBs, Python, ML/AI deployment, MLOps (CI/CD, monitoring, governance), cloud (Azure/AWS/GCP), API integration, and scalable data engineering (Financial Services preferred). AI Configuration & Optimization
  • Configure, fine-tune, and optimize Large Language Models (LLMs) and advanced ML models
  • Develop and manage prompt engineering frameworks, embeddings, and vector databases
  • Translate business requirements into AI-powered workflows and intelligent automation solutions
AI Implementation & Delivery
  • Deploy production-ready ML/AI models and data pipelines
  • Integrate AI capabilities into enterprise applications, APIs, and analytics platforms
  • Build scalable, end-to-end AI and data solutions aligned with business goals
  • Ensure solutions deliver measurable performance and operational impact AI Infrastructure & MLOps
  • Design and maintain MLOps frameworks including CI/CD pipelines
  • Implement model monitoring, versioning, governance, and performance optimization
  • Work across cloud platforms (Azure, AWS, or GCP) to scale AI workloads
  • Enhance reliability, security, and compliance of AI systems
Required
  • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field
  • 5+ years of experience in Data Engineering, AI Engineering, or ML Engineering roles
  • Hands-on experience with LLMs, prompt engineering, embeddings, and vector databases
  • Strong programming skills in Python (preferred)
  • Experience deploying ML/AI models into production environments
  • Solid understanding of cloud platforms (Azure, AWS, or GCP)
  • Experience building CI/CD pipelines for AI/ML systems
Preferred
  • Experience in Financial Services domain
  • Familiarity with API development and microservices architecture
  • Experience with model governance, compliance, and AI risk frameworks
  • Knowledge of scalable distributed data systems