
Senior Data Science Professional
4 days ago
We're seeking a skilled Machine Learning Engineer to join our team.
About the Role:
- Develop and deploy machine learning models for real-world applications.
- Work with datasets from various domains, experimenting with modern ML techniques.
- Collaborate with product and engineering teams to integrate models into production.
- Optimize models for speed, scalability, and reliability.
- Document workflows, experiments, and results.
- Stay updated with the latest research and tools in ML/AI.
What You'll Do:
- Model Development: Build, train, and validate ML models using PyTorch/TensorFlow and scikit-learn libraries.
- Dataset Preprocessing: Clean, analyze, and preprocess structured/unstructured datasets.
- Collaboration: Work closely with cross-functional teams to integrate models into production.
- Experimentation: Experiment with new ML techniques and evaluate their performance.
- Documentation: Document workflows, experiments, and results for future reference.
What We're Looking For:
- Minimum 2 years of experience in machine learning/data science.
- Strong Python skills with hands-on experience in ML libraries.
- Experience with at least one deep learning framework (PyTorch/TensorFlow).
- Understanding of data preprocessing, feature engineering, and evaluation metrics.
- Knowledge of MLOps tools (Docker, MLflow, CI/CD) is an advantage.
Benefits:
- The latest AI and ML tools and technologies.
- An inclusive and innovative work environment.
- Opportunities for professional growth and development.
- Competitive salary and benefits package.
- Flexible working hours, remote, and work-from-home options.
How to Apply:
- Apply via email with resume and cover letter.
- Include links to GitHub/Kaggle projects or ML work.
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