Machine Learning Engineer

Role: Machine learning Engineer

Duration: 12 Months+

Location Atlanta, GA or New Jersey

W2 Role

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, Google Cloud Platform, or Azure) and containerization (Docker, Kubernetes).

Familiarity with MLOps tools (e.g., MLflow, SageMaker, Kubeflow).