Visionary Data Innovator

7 days ago

Ahmedabad, Gujarat, India beBeeDataScientist Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Key Responsibilities\

As a Data Scientist, you will be instrumental in developing and deploying machine learning models, building robust data pipelines, and translating complex data into actionable insights. This role offers the opportunity to work on cutting-edge projects involving NLP, Generative AI, data automation, and cloud technologies to drive business value.

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  • Design, develop, and deploy machine learning models with a strong focus on NLP (including advanced techniques and Generative AI) and other AI applications.
  • Build, maintain, and optimize ETL pipelines for automated data ingestion, transformation, and standardization from various sources.
  • Work extensively with SQL for data extraction, manipulation, and analysis in environments like BigQuery.
  • Develop solutions using Python and relevant data science/ML libraries (Pandas, NumPy, Hugging Face Transformers, etc.).
  • Utilize Google Cloud Platform (GCP) services for data storage, processing, and model deployment.
  • Create and maintain interactive dashboards and reporting tools (e.g., Power BI) to present insights to stakeholders.
  • Apply basic Docker concepts for containerization and deployment of applications.
  • Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions.
  • Stay abreast of the latest advancements in AI/ML and NLP best practices.
\Required Qualifications & Skills\

The ideal candidate should possess the following qualifications and skills:

\
  • 1-4 years of hands-on experience as a Data Scientist or in a similar role.
  • Solid understanding of machine learning fundamentals, algorithms, and best practices.
  • Proficiency in Python and relevant data science libraries.
  • Good SQL skills for complex querying and data manipulation.
  • Demonstrable experience with Natural Language Processing (NLP) techniques, including advanced models (e.g., transformers) and familiarity with Generative AI concepts and applications.
  • Excellent problem-solving and analytical skills.
  • Strong communication and collaboration skills.
\Preferred Qualifications & Skills\

While not mandatory, the following qualifications and skills would be advantageous:

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  • Familiarity and hands-on experience with Google Cloud Platform (GCP) services, especially BigQuery, Cloud Functions, and Vertex AI.
  • Basic understanding of Docker and containerization for deploying applications.
  • Experience with dashboarding tools like Power BI and building web applications with Streamlit.
  • Experience with web scraping tools and techniques (e.g., BeautifulSoup, Scrapy, Selenium).
  • Knowledge of data warehousing concepts and schema design.
  • Experience in designing and building ETL pipelines.
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Disclaimer: Please note that our company does not use the services of vendors or agents for recruitment. Please beware of such agents or vendors providing assistance. We will not be responsible for any losses incurred.

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