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Lead I

2 weeks ago

Pune, Maharashtra, India UST Full time ₹ 12,00,000 - ₹ 36,00,000 per year

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.