Machine Learning Engineer
3 days ago
Your Role
- Must have experience with Machine Learning Model Development
- Expert Level Proficiency in Data Handling (SQL)
- Hands-on with Model Engineering and Improvement
- Strong experience in Model Deployment and Productionlization
Your Profile
- Extensive experience in developing and implementing machine learning, Deep Learning, NLP models across various domains,
- Strong proficiency in Python, including relevant libraries and frameworks for machine learning, such as scikit-learn, XGBoost and Keras. Ability to write efficient, clean, and scalable code for model development and evaluation.
- Proven experience in enhancing model accuracy through engineering techniques, such as feature engineering, feature selection, and data augmentation. Ability to analyze model samples in relation to model scores, identify patterns, and iteratively refine models for improved performance.
- Strong expertise in deploying machine learning models to production systems. Familiarity with the end-to-end process of model deployment, including data preprocessing, model training, optimization, and integration into production environments.
What you will love about working here
- We recognize the significance of flexible work arrangements to provide support in hybrid mode, you will get an environment to maintain healthy work life balance
- Our focus will be your career growth & professional development to support you in exploring the world of opportunities.
- Equip yourself with valuable certifications & training programmes in the latest technologies such as AIML, Machine Learning
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