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- Experience with Natural Language Processing (NLP) and Computer Vision (CV) techniques.
- Knowledge of DevOps methodologies and practices for continuous integration/continuous delivery (CI/CD).
- Experience with data warehousing and data lakes solutions like BigQuery or Snowflake.
- Familiarity with real-time data processing and streaming analytics.
- Passion for learning and staying at the forefront of data science and machine learning advancements.
- 7+ years of experience in data science and machine learning with a strong focus on model development and deployment.
- Expert-level knowledge of statistics, including probability theory, hypothesis testing, and statistical inference.
- In-depth knowledge of machine learning algorithms, including linear regression, logistic regression, decision trees
- Good knowledge on software configuration management systems
- Strong business acumen, strategy and cross-industry thought leadership
- Awareness of latest technologies and Industry trends
- Logical thinking and problem solving skills along with an ability to collaborate
- Two or three industry domain knowledge
- Understanding of the financial processes for various types of projects and the various pricing models available
- Client Interfacing skills
- Knowledge of SDLC and agile methodologies
- Project and Team management
Key Skills
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