Job Description

Must Have 5-10 years of experience working data and ML services using Python and Spark. Strong proficiency in Python. Extensive experience with AWS cloud services, particularly Sagemaker, Lambda, EKS,S3, Glue, and Terraform. Exposure with CI/CD pipelines and DevOps practices. Experience with containerization technologies (e.g., Docker, Kubernetes). Strong problem-solving and analytical skills. Ability to work within a team environment. Experience with MLOps platforms and tools. Experience developing real-time ML inference. Experience with data technologies and data engineering Experience working in an Agile environment. If you're interested Kindly share the below details so we can connect with you for the further details:- Name Total-experience Current CTC Fixed plus Variable(fix) + (variable) variable Expected CTC "Fixed plus variable" Current Company- Notice Period (Negotiable up to?) How will you negotiate it? Current location & COMPANY Preferred Location Reason for job change / Need for this job Please share years of Experience in the below technologies. Machine Learning- AWS- Devops- Python- Spark -