[Remote] Machine Learning Engineer
Note: The job is a remote job and is open to candidates in USA. 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
Skills
- 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
Benefits
- Comprehensive benefit program for hourly employees
- Medical
- Dental
- 401(k)
- Direct deposit
- Commuter benefits
- Including freelancers
Company Overview
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