
Machine Learning Engineer
3 days ago
Description :
- Design, develop, and deploy machine learning and deep learning models for various business applications.
- Work closely with data scientists, data engineers, and product teams to translate business requirements into scalable ML solutions.
- Perform data preprocessing, feature engineering, and model optimization to improve accuracy and efficiency.
- Build and maintain end-to-end ML pipelines using tools like TensorFlow, PyTorch, or Scikit-learn.
- Deploy models into production using MLOps tools and ensure ongoing performance monitoring and retraining.
- Conduct A/B testing, model validation, and performance evaluation using standard ML metrics.
- Stay updated with emerging ML/AI techniques and implement innovative approaches.
- Collaborate with cloud engineers for deployment on AWS, Azure, or GCP environments.
- Document ML processes, code, and research findings for reusability and transparency.
- Contribute to code reviews, knowledge sharing, and mentoring of junior team members.
Required Skills & Experience :
years of hands-on experience in Machine Learning / AI development.
- Strong proficiency in Python and libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, Keras.
- Proven experience with end-to-end ML model lifecycle - from data preparation to deployment.
- Experience working with large datasets, data pipelines, and feature stores.
- Familiarity with data visualization tools (Matplotlib, Seaborn, Power BI, etc.).
- Solid understanding of statistical modeling, probability, and data analysis.
- Experience with cloud platforms (AWS SageMaker, Azure ML, or Google Vertex AI).
- Knowledge of SQL/NoSQL databases and data preprocessing frameworks (Spark, Hadoop) is an advantage.
- Strong background in MLOps, CI/CD for ML, and model monitoring tools.
- Excellent problem-solving, analytical thinking, and communication skills.
Education & Certifications :
- Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
- Certifications in Machine Learning / Deep Learning / Cloud ML tools are preferred.
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