Only USC & GC-W2 Role: ML Engineer Location: Atlanta GA or Berkley Heights NJ- 5-day’s onsite role Duration: 12+Months Project JD: • 10 years Machine Learning Model development and Generative AI application development • Expertise in Solution development and Application development using GPT-4, Azure OpenAI and Azure Cognitive search. • Experience with MLOps, Deep Learning methods, NLP, computer vision, sentiment analysis, topic modeling and graph theory and databases • The position involves designing and developing NLP solutions, including chatbots, document processing, and text analytics • You will fine-tune and integrate large language models for customer service, advisory, and knowledge management use cases, and implement generative AI safeguards such as prompt engineering, content filtering, and bias mitigation • Design and develop NLP solutions, including chatbots, document processing, and text analytics • Fine-tune and integrate large language models for customer service, advisory, and knowledge management use cases • Implement generative AI safeguards (prompt engineering, content filtering, bias mitigation) • Expertise at Model drift and Data drift | Data Preparation | Model Selection | Hyper Parameters Tuning | Model Training | Model Validation Skills: • Python, Scikit, Azure ML, GPT-4, Azure OpenAI, Azure SQL , Random Forest Regression, Linear Regression • TensorFlow, Keras, NLTK, Spacy, or Neo4j, and a good understanding of modelling platforms such as Azure AutoML, SageMaker, DataBricks, DataRobot, and H2O.ai • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes). • Familiarity with MLOps tools (e.g., MLflow, SageMaker, Kubeflow).