Technology Lead | Data On Cloud – AWS

Veriipro; North Palm Beach (FL); On-site; USD 130,000 - 190,000; Full time

Job summary

Veriipro seeks an experienced Technology Lead – Data on Cloud / AWS to design, build, and productionize ML solutions. You will lead data science and engineering efforts, shaping scalable data pipelines and model deployment across cloud environments.

Responsibilities include developing ML/DL models, collaborating with stakeholders, ensuring data quality and security, and driving innovation with AI technologies in a fast-paced setting.

Qualifications

• Hands-on experience designing, developing, deploying ML solutions on cloud platforms.
• Proficient in Python and ML/DL frameworks.
• Experience with data pipelines for model training and deployment.
• Ability to work with cloud providers (AWS, Azure, Google Cloud).

Responsibilities

• Develop, train, test, and optimize ML and DL models.
• Analyze large datasets to identify patterns, trends, and insights.
• Design and implement AI solutions for predictive analytics, automation, NLP, and computer vision.
• Build and maintain data pipelines supporting model training and deployment.
• Deploy AI/ML models into production environments and monitor model performance.
• Collaborate with data scientists, software developers, and business stakeholders.
• Perform model evaluation, tuning, and continuous improvement.
• Ensure data quality, security, and compliance with organizational standards.
• Troubleshoot production issues and perform root‑cause analysis.
• Research and implement emerging AI/ML technologies and best practices.
• Prepare technical documentation and present technical findings to stakeholders.

Skills

AWS core services

Python programming

Machine learning

Deep learning

Data pipelines

Analytical thinking

AI/ML deployment

Tools

TensorFlow

PyTorch

Scikit-learn

Keras

Job description

We are seeking an experienced Technology Lead – Data on Cloud / AWS with strong expertise in cloud technologies, machine learning, and AI/ML model development. The ideal candidate will have hands‑on experience designing, developing, deploying, and optimizing machine learning solutions on cloud platforms, with AWS as the primary environment.

Must‑Have Skills

• Strong knowledge of AWS core services
• Hands‑on experience with AWS, Azure, or Google Cloud
• Strong Python programming skills
• Experience with Machine Learning and Deep Learning
• Strong analytical and problem‑solving skills
• Experience developing and deploying AI/ML models
• Experience with data pipelines for model training and deployment

Technical Responsibilities

• Develop, train, test, and optimize machine learning and deep learning models.
• Analyze large datasets to identify patterns, trends, and business insights.
• Design and implement AI solutions for predictive analytics, automation, recommendation systems, NLP, and computer vision.
• Build and maintain data pipelines supporting model training and deployment.
• Deploy AI/ML models into production environments and monitor model performance.
• Collaborate with data scientists, software developers, and business stakeholders.
• Perform model evaluation, tuning, and continuous improvement.
• Ensure data quality, security, and compliance with organizational standards.
• Troubleshoot production issues and perform root‑cause analysis.
• Research and implement emerging AI/ML technologies and best practices.
• Prepare technical documentation and present technical findings to stakeholders.

Required Technical Experience

• AWS Cloud
• Python
• TensorFlow
• PyTorch
• Scikit-learn
• Keras
• Machine Learning / Deep Learning
• Data Engineering / Data Pipelines
• Predictive Analytics
• NLP
• Computer Vision
• AI/ML Model Deployment and Monitoring