Senior Machine Learning Engineer

Job Description

Responsibilities

• Design, develop, train, and deploy machine learning models for production environments
• Build scalable ML pipelines and data processing workflows
• Collaborate with engineering and product teams to integrate ML solutions into applications
• Optimize model performance, accuracy, and scalability
• Work on data preprocessing, feature engineering, and model evaluation
• Develop APIs and backend services for ML-powered applications
• Monitor, maintain, and improve deployed ML models
• Conduct experimentation and research on new ML/AI approaches
• Document technical solutions and best practices

What would you need?

• Bachelor’s Degree in Computer Science, Data Science, Artificial Intelligence, or related field
• Minimum 3 years of experience in Machine Learning Engineering or related roles
• Strong programming skills in Python
• Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn
• Experience building and deploying ML models in production environments
• Good understanding of supervised and unsupervised learning techniques
• Experience with data handling, preprocessing, and model evaluation
• Familiarity with REST APIs and backend development
• Experience with cloud platforms such as AWS, Azure, or GCP
• Familiarity with Docker, CI/CD pipelines, and MLOps practices is an advantage
• Strong problem-solving and communication skills

Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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