ML Engineer II - Aws, Aws Cloud

Job Details- Job Title: ML Engineer II - Aws, Aws Cloud- Industry: Technology- Domain - Information technology (IT)- Experience Required: 6-12 years- Employment Type: Full Time- Job Location: Pune - CTC Range: Best in IndustryJob Description:Core Responsibilities:? The MLE will design, build, test, and deploy scalable machine learning systems, optimizing model accuracy and efficiency? Model Development: Algorithms and architectures span traditional statistical methods to deep learning along with employing LLMs in modern frameworks.? Data Preparation: Prepare, cleanse, and transform data for model training and evaluation.? Algorithm Implementation: Implement and optimize machine learning algorithms and statistical models.? System Integration: Integrate models into existing systems and workflows.? Model Deployment: Deploy models to production environments and monitor performance.? Collaboration: Work closely with data scientists, software engineers, and other stakeholders.? Continuous Improvement: Identify areas for improvement in model performance and systems.Skills:? Programming and Software Engineering: Knowledge of software engineering best practices (version control, testing, CI/CD).? Data Engineering: Ability to handle data pipelines, data cleaning, and feature engineering. Proficiency in SQL for data manipulation + Kafka, Chaossearch logs, etc for troubleshooting; Other tech touch points are ScyllaDB (like BigTable), OpenSearch, Neo4J graph? Model Deployment and Monitoring: MLOps Experience in deploying ML models to production environments.? Knowledge of model monitoring and performance evaluation.Required experience:? Amazon SageMaker: Deep understanding of SageMaker's capabilities for building, training, and deploying ML models; understanding of the Sagemaker pipeline with ability to analyze gaps and recommend/implement improvements? AWS Cloud Infrastructure: Familiarity with S3, EC2, Lambda and using these services inML workflows? AWS data: Redshift, Glue? Containerization and Orchestration: Understanding of Docker and Kubernetes, and their implementation within AWS (EKS, ECS)Skills: Aws, Aws Cloud, Amazon Redshift, EksMust-HavesAws, Aws Cloud, Amazon Redshift, EksNP: Immediate – 30 Days