Senior Machine Learning Engineer

3 days ago

Agra, Uttar Pradesh, India beBeeDataScience Full time ₹ 15,00,000 - ₹ 25,00,000
Data Science Role

Be part of a leading organization where innovation and diversity thrive. Our team is dedicated to creating immersive content and ideas.

We are seeking an experienced Data Scientist to join our dynamic team. You will play a crucial role in developing and deploying machine learning models, building robust data pipelines, and translating complex data into actionable insights.

Key Responsibilities:
  • Design, develop, and deploy machine learning models, focusing on NLP 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 libraries.
  • Utilize Google Cloud Platform services for data storage, processing, and model deployment.
  • Create and maintain interactive dashboards and reporting tools 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.
Required Skills and Qualifications:
  • 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 techniques, including advanced models and familiarity with Generative AI concepts and applications.
Benefits:
  • Opportunity to work on cutting-edge projects involving NLP, Generative AI, data automation, and cloud technologies.
  • Chance to collaborate with talented individuals from diverse backgrounds.
  • Professional growth and development opportunities.

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