Job Description

9 - 12 Years
1 Opening
Pune

Role 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 UST

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.