You will design, deploy, and maintain machine learning models for production environments.
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.