Required Skills & Qualifications

Minimum 10+ years of experience in Data Science, AI, or Machine Learning
Strong hands-on expertise in AI & ML, including supervised and unsupervised learning, NLP, or deep learning
Advanced Python programming skills, including libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch
Extensive experience with AWS, especially SageMaker, S3, Redshift, Glue, Athena, Lambda
Strong foundation in statistics, predictive modeling, and ML algorithms
Proficiency in SQL and experience with data visualization techniques
Excellent communication and stakeholder management skills

Key Responsibilities

Design, develop, and deploy AI/ML models and data science solutions on AWS
Build end-to-end ML pipelines using AWS services such as SageMaker, Lambda, EC2, and ECR
Perform advanced data analysis, feature engineering, model training, and optimization using Python
Work with large-scale datasets using AWS data services including S3, Glue, Athena, and Redshift
Implement MLOps practices for model deployment, monitoring, retraining, and version control
Translate complex business problems into AI/ML-driven solutions

AWS Data Scientist

Nityo Infotech