Machine Learning Engineer

Solomon Page is a specialty niche provider of staffing and executive search solutions, and they are seeking a Machine Learning Engineer to design, develop, deploy, and optimize machine learning solutions for enterprise AI initiatives. The ideal candidate will collaborate with various stakeholders to build scalable AI solutions in a cloud environment.

Responsibilities:

• Design, develop, train, and deploy machine learning models for enterprise applications
• Build and optimize supervised and unsupervised learning models to solve complex business problems
• Develop NLP solutions for text processing, classification, sentiment analysis, and language understanding
• Implement and optimize deep learning models using TensorFlow, Keras, and PyTorch
• Develop scalable data pipelines and model deployment workflows using MLOps best practices
• Collaborate with data scientists, software engineers, and business teams to translate requirements into AI solutions
• Deploy, monitor, and maintain machine learning models in Microsoft Azure cloud environments
• Continuously improve model performance through feature engineering, hyperparameter tuning, and model evaluation
• Implement DevOps and MLOps practices to automate model training, deployment, monitoring, and lifecycle management
• Stay current with emerging AI, machine learning, and cloud technologies to drive innovation

Requirements:

• Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Artificial Intelligence, or a related field
• Strong experience developing machine learning models using supervised and unsupervised learning techniques
• Hands-on expertise with neural networks and Natural Language Processing (NLP)
• Proficiency in Python, R, and SQL
• Experience with machine learning frameworks including TensorFlow, Keras, and PyTorch
• Strong knowledge of Microsoft Azure cloud services for AI and machine learning
• Experience implementing DevOps and MLOps practices for machine learning deployment and operations
• Strong analytical, problem-solving, and communication skills
• Experience deploying machine learning solutions in enterprise cloud environments
• Knowledge of CI/CD pipelines for ML model deployment
• Experience with model monitoring, versioning, and lifecycle management
• Familiarity with modern data engineering and cloud-native AI architectures
• Exposure to large-scale enterprise AI or retail analytics projects is a plus