Job 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 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
About Company:
UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world's best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients' organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact--touching billions of lives in the process.

Skills Required