ML/AI Business Applications Developer - Basking Ridge, NJ
Rohit pal
Hi Vendors,
Role - ML/AI
Business Applications Developer
Location – Basking Ridge, NJ
Type – Contract
Job Description
• Design, develop, and implement machine learning and AI models for business applications
• Build, train, and optimize models across deep learning, NLP, computer vision, and generative AI use cases
• Work with large datasets to perform data cleaning, preprocessing, and feature engineering
• Evaluate, validate, and tune models to improve accuracy, performance, and robustness
• Deploy models into production using APIs, microservices, and cloud-native architectures
• Implement scalable and reliable model serving using Docker and Kubernetes
• Monitor model performance in production, identify drift, and retrain models as needed
• Apply MLOps practices to automate training, deployment, versioning, and monitoring workflows
• Ensure AI solutions meet scalability, security, and reliability requirements
• Collaborate with cross-functional teams including product managers, data engineers, and platform teams
• Research, evaluate, and apply the latest advancements in machine learning and AI
• Develop solutions using Python (preferred) or Java/C
• Build models using frameworks such as TensorFlow, PyTorch, and Scikit-learn
• Process and analyze data using tools such as Pandas and Apache Spark
• Deploy and operate solutions on cloud platforms including AWS, Google Cloud, and Microsoft Azure
• Design, develop, and implement machine learning and AI models for business applications
• Build, train, and optimize models across deep learning, NLP, computer vision, and generative AI use cases
• Work with large datasets to perform data cleaning, preprocessing, and feature engineering
• Evaluate, validate, and tune models to improve accuracy, performance, and robustness
• Deploy models into production using APIs, microservices, and cloud-native architectures
• Implement scalable and reliable model serving using Docker and Kubernetes
• Monitor model performance in production, identify drift, and retrain models as needed
• Apply MLOps practices to automate training, deployment, versioning, and monitoring workflows
• Ensure AI solutions meet scalability, security, and reliability requirements
• Collaborate with cross-functional teams including product managers, data engineers, and platform teams
• Research, evaluate, and apply the latest advancements in machine learning and AI
• Develop solutions using Python (preferred) or Java/C
• Build models using frameworks such as TensorFlow, PyTorch, and Scikit-learn
• Process and analyze data using tools such as Pandas and Apache Spark
• Deploy and operate solutions on cloud platforms including AWS, Google Cloud, and Microsoft Azure
Best Regards
Rohit Kumar (Sr.Technical Recruiter)
Intellisoft Technologies Inc.
11494 Luna Road, Ste 280 Farmers Branch, TX -75234