Python Data Scientist AIML Narela (India)

As a Sr. Python Data Scientist at our company, your role will involve building automation and leading-edge architecture around Data and AI/ML engineering on an AWS & Kubernetes platform. You should have 7+ years of total experience in a complex, technical setting with expertise in developing production-grade code in Python, SQL & Pandas. Additionally, you should have experience with 3 or more of the following AWS tools: Lambda, EC2, EMR, S3, Glue, Athena, RDS, Networking, IAM, Batch processing, Sagemaker, Airflow. Familiarity or self-study in Terraform and commonly used DevOps tools like Kubernetes, Docker, Github, Github Actions, Code pipeline & Jenkins is required. Knowledge in Kubeflow & MLFlow would be advantageous. Experience in creating and working with CICD pipelines and APIs is essential. Familiarity with relational SQL and NoSQL databases is required, and Snowflake experience is a plus. Previous experience collaborating with AI/ML teams and cross-functional teams in an agile workplace is desirable. Qualifications: - Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or related field. - 57+ years of professional experience in AI/ML development, ideally with ownership of production-level AI systems. - Proven experience at an AI-first company or contributions to AI/ML research or open-source projects are highly desirable. Please share your updated resume to (+91) 74839 25904. This position is based in Bangalore, India and offers remote work mode. Immediate joiners are preferred. As a Sr. Python Data Scientist at our company, your role will involve building automation and leading-edge architecture around Data and AI/ML engineering on an AWS & Kubernetes platform. You should have 7+ years of total experience in a complex, technical setting with expertise in developing production-grade code in Python, SQL & Pandas. Additionally, you should have experience with 3 or more of the following AWS tools: Lambda, EC2, EMR, S3, Glue, Athena, RDS, Networking, IAM, Batch processing, Sagemaker, Airflow. Familiarity or self-study in Terraform and commonly used DevOps tools like Kubernetes, Docker, Github, Github Actions, Code pipeline & Jenkins is required. Knowledge in Kubeflow & MLFlow would be advantageous. Experience in creating and working with CICD pipelines and APIs is essential. Familiarity with relational SQL and NoSQL databases is required, and Snowflake experience is a plus. Previous experience collaborating with AI/ML teams and cross-functional teams in an agile workplace is desirable. Qualifications: - Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or related field. - 57+ years of professional experience in AI/ML development, ideally with ownership of production-level AI systems. - Proven experience at an AI-first company or contributions to AI/ML research or open-source projects are highly desirable. Please share your updated resume to (+91) 74839 25904. This position is based in Bangalore, India and offers remote work mode. Immediate joiners are preferred.