AI Engineer: Generative AI, OCR & Cloud ML Specialist

TechDigital Group; Orlando (FL); Vor Ort; USD 80.000 - 120.000; Vollzeit

Zusammenfassung

An innovative firm is seeking a skilled data analyst to leverage advanced data analysis and AI model development. In this role, you will utilize cutting-edge technologies such as Snowflake and Azure AIML services to drive business intelligence and enhance automation workflows. Your expertise in OCR and document intelligence will be critical for optimizing processes like License Audit and Product Approval. Collaborating with product and engineering teams, you'll integrate generative AI models into key workflows, ensuring data-driven insights are effectively communicated through visualization tools. If you're passionate about AI and data analytics, this role offers a fantastic opportunity to make a significant impact.

Qualifikationen

• Mastery of Snowflake for advanced data analytics and ML pipelines.
• Deep understanding of Azure AIML and Google Cloud AIML platforms.

Aufgaben

• Conduct advanced data analysis using Snowflake for business intelligence.
• Design and evaluate AI models using Azure AIML services.

Kenntnisse

Snowflake

Azure AIML services

Google Cloud AIML platforms

OCR and document intelligence

GKE Scheduler

Google Pub/Sub

Data visualization

Statistical analysis

Prompt engineering

RAG pipelines

Tools

PowerBI

Tableau

Jobbeschreibung

• We are seeking a highly skilled and experienced PL/SQL Developer with exposure to cloud platforms (AWS or Azure) to build, optimize, and maintain high-performance database solutions.
• This is a hands-on individual contributor role requiring deep expertise in Oracle PL/SQL along with the ability to work in modern cloud-enabled data environments.

Key Responsibilities
PL/SQL Development

• Design, develop, and maintain complex PL/SQL packages, procedures, functions, and triggers.
• Write efficient, scalable, and reusable database code.
• Develop and optimize complex SQL queries for large-scale data processing and reporting.
• Troubleshoot and resolve database-related performance and production issues.

Database Design & Performance Optimization

• Collaborate with architects and DBAs on data modeling, schema design, and indexing strategies.
• Perform advanced query tuning using explain plans and performance tools.
• Optimize database workloads for high-volume and high-throughput systems.
• Ensure data consistency, integrity, and performance across systems.

Cloud Integration (AWS / Azure)

• Work with databases deployed on cloud platforms (AWS RDS, Aurora, Azure SQL, Oracle on Cloud).
• Support migration of on-prem databases to cloud environments.
• Optimize database workloads for cloud performance, scalability, and cost efficiency.
• Integrate PL/SQL-based systems with cloud services, APIs, and data pipelines.
• Collaborate with cloud engineers on architecture and deployment strategies.
• Data Processing & ETL
• Develop and maintain ETL processes, batch jobs, and data pipelines.
• Handle large datasets efficiently in both on-premises and cloud environments.
• Support data transformation, ingestion, and reporting needs.

Quality & Standards

• Follow best practices for coding, version control, and documentation.
• Conduct self-reviews and participate in peer code reviews.
• Ensure compliance with performance, security, and data governance standards.

Collaboration

• Partner with business analysts, application teams, and cloud architects to deliver solutions.
• Participate in technical design discussions and provide database expertise.
• Support testing, deployment, and release cycles.

Production Support

• Provide L2/L3 support for database and data-related issues.
• Diagnose and resolve performance bottlenecks and failures.
• Monitor systems and proactively improve stability and efficiency.

Required Qualifications

• Bachelor's degree in computer science, IT, or related field.
• 7–12+ years of strong hands-on Oracle PL/SQL development experience.
• Deep expertise in: PL/SQL (packages, procedures, functions, triggers)
• Advanced SQL and performance tuning
• Oracle Database (11g/12c/19c or higher)

Cloud Requirements (Must Have / Strongly Preferred)

• Hands-on experience with: Oracle Autonomous Data Warehouse (ADW) on Azure
• Amazon Redshift
• Strong understanding of: Cloud-based data warehousing architectures
• Performance tuning in ADW and Redshift environments
• Workload management, query optimization, and storage strategies in cloud DW platforms
• Experience in: Managing and optimizing cloud data processing for scalability and cost efficiency
• Familiarity with: Azure ecosystem (e.g., networking, security, integration with ADW)
• AWS ecosystem (e.g., S3, IAM, data ingestion into Redshift)

Preferred Skills

• Experience with data warehousing and large-scale data processing.
• Knowledge of performance tuning tools (AWR, ASH, SQL Trace).
• Familiarity with Unix/Linux shell scripting.
• Experience with ETL frameworks/tools.
• Exposure to CI/CD pipelines and DevOps practices.
• Experience with version control tools (Git).

Soft Skills

• Strong analytical and problem-solving skills.
• Ability to work independently in an individual contributor role.
• Excellent communication and collaboration abilities.
• Detail-oriented with strong focus on performance and quality.