Data and AI Solutions
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Job Location:
New York City, NY - USA
Monthly Salary:
Not Disclosed
Posted on:
12 hours ago
Vacancies:
1 Vacancy
Job Summary
Role Name: Data and AI Solutions
Location: New York City NY
Background check MANDATORY
JOB DESCRIPTION:
Required Experience
5-10 years of professional software development and solution design experience
Strong proficiency in Python programming and architectural design patterns
Extensive background with AWS cloud services and cloud-native architectures
Experience with AI/ML solution development and governance frameworks
Proven experience with data strategy frameworks including cataloging lineage and quality management
Hands-on experience with generative AI technologies and implementation
Location: New York City NY
Background check MANDATORY
JOB DESCRIPTION:
Required Experience
5-10 years of professional software development and solution design experience
Strong proficiency in Python programming and architectural design patterns
Extensive background with AWS cloud services and cloud-native architectures
Experience with AI/ML solution development and governance frameworks
Proven experience with data strategy frameworks including cataloging lineage and quality management
Hands-on experience with generative AI technologies and implementation
Key Responsibilities
Design scalable enterprise-grade data and AI solutions and system architectures
Build and maintain complex software solutions and AI governance platforms
Develop proof-of-concepts to validate architectural approaches and technology choices
Implement data cataloging quality monitoring and security frameworks
Create detailed technical specifications and implementation plans
Collaborate with cross-functional teams to translate business requirements into technical designs
Implement end-to-end solutions from design through production deployment
Technical Requirements:
Core Technologies
Advanced Python development
Strong database experience : relational and non-relational
AWS services: EC2 S3 RDS Lambda API Gateway Bedrock SageMaker
Containerization and orchestration: Docker Kubernetes Helm
Data Strategy & Governance
Data cataloging tools and metadata management
Data quality frameworks and monitoring tools
Data security and privacy implementation (encryption access controls PII detection)
Data lineage tracking and impact analysis
Architecture & DevOps
Microservices architecture and RESTful API design
Infrastructure as Code: Terraform CloudFormation
CI/CD pipelines: Jenkins GitLab CI GitHub Actions
Monitoring tools: Grafana Prometheus Loki
Version control systems (Git)
AI/ML & Generative AI
AI governance frameworks and MLOps practices
Generative AI implementation and fine-tuning (LLMs prompt engineering RAG)
Model monitoring validation and compliance implementation
Experience with OpenAI Anthropic or AWS Bedrock services
Understanding of AI ethics bias detection and regulatory requirements
Preferred Qualifications
Bachelors degree in Computer Science or related field
Experience with big data technologies and data pipelines
Test-driven development and Agile methodologies
AWS certifications
Experience with vector databases and embedding technologies
Key Skills
- Organizational Management
- Presentation Skills
- Agile
- SAFe
- AWS
- Solution Architecture
- Conflict Management
- Data Management
- Scrum
- Team Management
- Pre-sales
- Management Consulting
