Data Scientist - Consultant
Mumbai, Maharashtra, India
- Data analysis and preprocessing: Clean, validate, and analyze large datasets to identify patterns, trends, and insights that can be used to drive the development of AI models.
- Model development: Design, develop, and implement machine learning algorithms and statistical models to solve complex business problems.
- API development: Understand API development, specifically using FastAPIs in Python, to create APIs for model deployment and integration with other systems or applications.
- GenAI-based models: Understand and explore GenAI-based models to enhance existing AI models and explore their potential applications across different domains.
- Collaborative problem-solving: Work closely with cross-functional teams, including software engineers, product managers, and domain experts to develop innovative AI solutions that address specific business requirements.
- AI technique research: Stay up-to-date with the latest advancements in the field of AI, including deep learning, natural language processing, and computer vision, and explore their potential applications to enhance existing AI models
- Programming skills: Proficiency in programming languages such as Python and R, and experience with data manipulation libraries (e.g., pandas, NumPy) and machine learning frameworks (e.g., TensorFlow).
- Statistical knowledge: Strong understanding of statistical concepts and methodologies such as regression, clustering, hypothesis testing, and time series analysis.
- GenAI-based models: Understanding and experience with GenAI-based models, exploring their potential applications, and incorporating them into AI models when appropriate
- Data analysis and preprocessing: Clean, validate, and analyze large datasets to identify patterns, trends, and insights that can be used to drive the development of AI models.
- Model development: Design, develop, and implement machine learning algorithms and statistical models to solve complex business problems.
- API development: Understand API development, specifically using FastAPIs in Python, to create APIs for model deployment and integration with other systems or applications.
- GenAI-based models: Understand and explore GenAI-based models to enhance existing AI models and explore their potential applications across different domains.
- Education: Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.
- Certification: Certification in cloud technologies especially Azure open AI would be good to have
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Categories:
Consulting Jobs
Data Science Jobs
Tags: API Development APIs Azure Clustering Computer Science Computer Vision Data analysis Deep Learning Generative AI Machine Learning ML models Model deployment NLP NumPy Pandas Python R Research Statistics TensorFlow Testing
Region:
Asia/Pacific
Country:
India
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