What are the responsibilities and job description for the Data and AI Solutions Consultant position at Hatch Pros?
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USC/GC
hybrid day 1
Data and AI Solutions
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
Bachelor's 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
Role Overview
USC/GC
hybrid day 1
Data and AI Solutions
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
Bachelor's 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
Role Overview
Salary : $70 - $75