Senior Data Scientist AI/ML & Big Data

As a Senior Data Scientist with 7+ years of experience in AI/ML, Big Data, and Cloud-based solutions, your primary responsibility will be to design, develop, and deploy scalable machine learning models. You should have a strong expertise in Python, TensorFlow/PyTorch, Spark MLlib, and cloud platforms such as GCP/AWS/Azure. Your key responsibilities will include designing and deploying AI/ML models for large-scale data processing, developing Big Data pipelines using Spark, SQL, and cloud services (preferably GCP), performing statistical analysis, ETL, and data modeling for actionable insights, collaborating with stakeholders to translate business problems into ML solutions, and optimizing model performance, scalability, and efficiency in production. To be successful in this role, you must have 6-8 years of experience in AI/ML, Big Data, and cloud-based deployments, strong programming skills in Python, SQL, TensorFlow/PyTorch, Spark MLlib, hands-on experience with GCP/AWS/Azure (preferably GCP), expertise in ETL, data warehousing, and statistical modeling, and hold a degree in Computer Science, Data Science, Engineering, or related fields. Preferred skills for this role include experience with MLOps, model deployment, and CI/CD pipelines, as well as strong data visualization and storytelling skills using tools like Matplotlib, Tableau, etc.,