Description

Design, deploy, and maintain machine learning models for production environments.

This role is hybrid.

Responsibilities

• Develop and optimize AI/ML models for real-world applications.
• Perform feature engineering and data preprocessing on large datasets.
• Deploy and monitor ML models across cloud and on-premises infrastructure.
• Collaborate with cross-functional teams to implement AI solutions.
• Maintain compliance and ethical AI practices throughout the development lifecycle.

Required Skills

• 8+ years of experience in AI/ML engineering.
• Proficiency in Python, including NumPy, pandas, TensorFlow, PyTorch, and Scikit-learn.
• Experience with cloud platforms such as AWS, GCP, or Azure.
• Hands-on experience building and managing ML pipelines.
• Expertise in model training, tuning, and feature engineering.
• Bachelor's degree or equivalent graduate level education.

Preferred Skills

• Experience with NLP, Computer Vision, or Deep Learning.
• Familiarity with Big Data technologies including Spark and Hadoop.

Key Skills

Education

Any Gradute