ML Engineer

ML Engineer

Location: Atlanta OR Berkley Heights NJ (5 Days Onsite)

Duration:1 year

Rate: DOE

• 10 years of 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, 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 in 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 Auto ML, SageMaker, DataBricks, DataRobot, and H2O.ai
• Experience with cloud platforms (AWS, Google Cloud Platform, or Azure) and containerization (Docker, Kubernetes).
• Familiarity with MLOps tools (e.g., MLflow, SageMaker, Kubeflow).