Senior Machine Learning Engineer

3 hours ago

Thāne, Maharashtra, India beBeeData Full time ₹ 1,50,00,000 - ₹ 3,00,00,000
Job Description:

We are seeking a skilled and passionate Data Scientist to join our dynamic team. The ideal candidate will have over a year of experience 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. You will be instrumental in designing, developing, and deploying machine learning models with a strong focus on NLP (including advanced techniques and Generative AI) and other AI applications.

As a Data Scientist, you will build, maintain, and optimize ETL pipelines for automated data ingestion, transformation, and standardization from various sources. You will also work extensively with SQL for data extraction, manipulation, and analysis in environments like BigQuery.

Required Skills and Qualifications:
  • 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.
Benefits:

As a member of our team, you will have the opportunity to work on cutting-edge projects, collaborate with cross-functional teams, and stay abreast of the latest advancements in AI/ML and NLP best practices.

Preferred Qualifications:
  • 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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