We are seeking a Machine Learning Engineer to design, develop, deploy, and optimize machine learning solutions that support enterprise AI initiatives. The ideal candidate will have strong expertise in supervised and unsupervised learning, neural networks, Natural Language Processing (NLP), and MLOps, along with hands-on experience using Python, TensorFlow, PyTorch, Azure, and cloud-native machine learning platforms. This role requires close collaboration with data scientists, engineers, and business stakeholders to build scalable AI solutions in a cloud environment.

 

• Rate Range: $45–58/hr on W2

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.

Required Qualifications:

• 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.

Required Skills:

• Machine Learning

• Supervised & Unsupervised Learning

• Neural Networks

• Natural Language Processing (NLP)

• Python

• R

• SQL

• TensorFlow

• Keras

• PyTorch

• Microsoft Azure

• DevOps

• MLOps

Technical Skills:

• Python

• R

• SQL

• TensorFlow

• Keras

• PyTorch

• Microsoft Azure

• Machine Learning

• Deep Learning

• Natural Language Processing (NLP)

• DevOps

• MLOps

Preferred Qualifications:

• 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.
  
  If you meet the required qualifications and are interested in this role, please apply today. 
  
  The Solomon Page Distinction
  
  Solomon Page offers a comprehensive benefit program for hourly employees. We pride ourselves on offering medical, dental, 401(k), direct deposit and commuter benefits to our employees, including freelancers - which sets us apart in the industries we serve.
  
  About Solomon Page
  
  Founded in 1990, Solomon Page is a specialty niche provider of staffing and executive search solutions across a wide array of functions and industries. The success of Solomon Page reflects an organic growth strategy supported by a highly entrepreneurial culture. Acting as a strategic partner to our clients and candidates, we focus on providing customized solutions and building long-term relationships based on trust, respect, and the consistent delivery of excellent results. For more information and additional opportunities, visit: solomonpage.com and connect with us on Facebook, and LinkedIn.
  
  Opportunity Awaits.
   

 

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