AI/ML Engineer

Role OverviewAn AI Data Engineer is responsible for designing, building, and managing data infrastructure that supports AI and Machine Learning systems. This role focuses on creating scalable data pipelines, preparing high-quality datasets, and enabling efficient model training and deployment. Key ResponsibilitiesBuild and maintain data pipelines for AI/ML workflowsCollect, clean, and preprocess structured and unstructured dataDesign and manage data lakes and data warehousesDevelop ETL/ELT proce

Role - AI/ML Engineer Location: Remote Salary - $110-$120K Role/skills Name: Terraform, Python, Cloud, Google Cloud Platform, Data Management, AI/ML, MCP Role Summary We are looking for an experienced contractor who is highly proficient in Python and has practical experience developing AI-powered systems. The preferred candidate should have worked with AI agents, Model Context Protocol (MCP), modern data management techniques, and cloud platforms to create scalable, production-ready solutions.

Hello Everyone, Job Title : Data Engineer Location :Multiple openings across the USA (Remote/Hybrid/Onsite) Experience Level: Junior: 24 years Mid-Level: 58 years Preferred: / U.S. Citizens Required Qualifications Bachelors degree in Computer Science, Information Systems, or related field.23 years of experience in data engineering or related roles.Strong proficiency in SQL and relational databases (e.g., PostgreSQL, MySQL, SQL Server).Hands-on experience with ETL tools (e.g., Apache Airflow, T

Role OverviewAn AI Data Scientist is responsible for analyzing complex datasets and building AI/ML models to generate insights and drive intelligent decision-making. This role combines data science, machine learning, and AI techniques to solve business problems and develop predictive and generative solutions. Key ResponsibilitiesAnalyze structured and unstructured data to identify trends and patternsBuild, train, and evaluate machine learning and AI modelsDevelop predictive models, recommendatio