What are the responsibilities and job description for the Machine Learning Engineer position at Jobs via Dice?
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Hiring: W2 Candidates Only
Visa: Open to any visa type with valid work authorization in the USA
Key Responsibilities
Hiring: W2 Candidates Only
Visa: Open to any visa type with valid work authorization in the USA
Key Responsibilities
- Design, develop, and deploy machine learning models
- Analyze large datasets to extract insights and build predictive models
- Implement ML algorithms for classification, regression, clustering, and recommendation systems
- Collaborate with data engineers to build data pipelines
- Optimize model performance and scalability
- Perform data preprocessing, feature engineering, and model validation
- Monitor and maintain models in production
- Document models, workflows, and best practices
- Stay updated with latest ML techniques and tools
- Bachelor s or Master s degree in Computer Science, Data Science, AI, or related field
- Strong programming skills in Python (NumPy, Pandas, Scikit-learn)
- Good understanding of machine learning algorithms and statistics
- Experience with data analysis and data preprocessing
- Knowledge of SQL and databases
- Familiarity with ML frameworks like TensorFlow, PyTorch, or Keras
- Understanding of model evaluation techniques
- Experience with deep learning and neural networks
- Knowledge of NLP or Computer Vision
- Familiarity with MLOps tools (MLflow, Kubeflow)
- Experience with cloud platforms (AWS, Azure, Google Cloud Platform)
- Exposure to Big Data tools (Spark, Hadoop)