Machine Learning +Aws+ (EKS OR ECS OR Kubernetes) + (Redshift AND Glue) +Sagemaker

Job Role: ML Engineer
Experience: 6-12 Years
Location: Pune, Bangalore, Hyderabad, Trivandrum, Chennai, Kochi, Gurgaon, Noida
Key Summary:
● 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 in
ML 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, Eks