About this opportunity
2T Consulting lists this Technology Lead | Data On Cloud – AWS opportunity in Haverhill, Florida. Review the employer’s description below for duties, qualifications and application requirements.
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
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.