Hyderabad, Telangana, India
Information Technology
Full-Time
Impetus
Overview
Qualification
4 to 5 years
Job Reference Number
13027
- Strong experience in Python
- 2+ years’ experience of working on feature/data pipelines using PySpark
- Understanding and experience around data science
- Exposure to AWS cloud services such as Sagemaker, Bedrock, Kendra etc.
- Experience with machine learning model lifecycle management tools, and an understanding of MLOps principles and best practice
- Experience with statistical models e.g., multinomial logistic regression
- Experience of technical architecture, design, deployment, and operational level knowledge
- Exploratory Data Analysis
- Knowledge around Model building, Hyperparameter tuning and Model performance metrics.
- Statistics Knowledge (Probability Distributions, Hypothesis Testing)
- Time series modelling, Forecasting, Image/Video Analytics, and Natural Language Processing (NLP).
- Experience researching and applying large language and Generative AI models.
- Experience with LangChain, LLAMAIndex, Foundation model tuning, Data Augmentation, and Performance Evaluation frameworks
- Able to provide analytical expertise in the process of model development, refining, and implementation in a variety of analytics problems.
- Knowledge on Docker and Kubernetes.
- Generate actionable insights for business improvements.
- Ability to understand business requirements.
- Write clean, efficient, and reusable code following best practices.
- Troubleshoot and debug applications to ensure optimal performance.
- Write unit test cases
- Collaborate with cross-functional teams to define and deliver new features
- Use case derivation and solution creation from structured/unstructured data.
- Actively drive a culture of knowledge-building and sharing within the team
- Experience applying theoretical models in an applied environment.
- MLOps, Data Pipeline, Data engineering
- Statistics Knowledge (Probability Distributions, Hypothesis Testing)
4 to 5 years
Job Reference Number
13027
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