GoKloud - Data Scientist - Machine Learning

Description :

Key Responsibilities :

- Develop and optimize Machine Learning models to achieve high accuracy and performance.

- Design and implement Deep Learning models, including Artificial Neural Networks (ANN), Convolutional Neural Networks (CNN), and Reinforcement Learning techniques.

- Handle real-time imbalanced datasets and apply appropriate techniques to improve model fairness and robustness.

- Deploy models in production environments and ensure continuous monitoring, improvement, and updates based on feedback.

- Collaborate with cross-functional teams to align ML solutions with business goals.

- Utilize fundamental statistical knowledge and mathematical principles to ensure the reliability of models.

- Bring in latest advancements in ML and AI to drive innovation.

Requirements :

- Strong expertise in feature engineering, data exploration, and data preprocessing.

- Experience with imbalanced datasets and techniques to improve model generalization.

- Proficiency in Python, TensorFlow, Scikit-learn, and other ML frameworks.

- Strong mathematical and statistical knowledge with problem solving skills

- Ability to optimize models for high accuracy and performance in real-world scenarios.

Preferred Qualifications :

- Familiarity with containerization and orchestration tools (Docker, Kubernetes).

- Experience in automating ML pipelines with MLOps practices.

- Experience in model deployment using cloud platforms (AWS, GCP, Azure) or MLOps tools.