Description

You will develop, evaluate, and deploy machine learning models for predictive analytics, classification, and optimization.

This role is on-site.

Responsibilities

• Develop and implement ML models for predictive analytics and optimization.
• Clean, preprocess, and engineer features from large datasets.
• Deploy scalable ML models on cloud platforms (AWS, Azure, GCP).
• Evaluate, tune, and validate models for accuracy and performance.
• Present data-driven insights and recommendations to stakeholders.

Required Skills

• 5+ years of experience in Data Science or a related field.
• Strong proficiency in Python, including NumPy, Pandas, and Scikit-learn.
• Hands-on experience with AI/ML algorithms and statistical modeling.
• Expertise in deploying models on AWS, Azure, or GCP.
• Solid understanding of data structures, algorithms, and distributed computing.
• Experience with SQL/NoSQL databases and data pipelines.
• Bachelor's or Master's degree in Computer Science, Data Science, or related field.

Preferred Skills

• Experience with MLOps frameworks (Kubeflow, MLflow, Airflow).
• Knowledge of big data tools like Spark and Hadoop.

Key Skills

Education

Bachelor's or Master's degrees