Senior Machine Learning Engineer

4 days ago

Chennai, Tamil Nadu, India beBeeDataScientist Full time
Key Responsibilities

Our Ideal Candidate will have a proven track record in developing, training and evaluating machine learning models using Python, scikit-learn and related libraries. They will also design and build robust data pipelines and workflows leveraging Pandas, SQL and Kedro.

  • Develop, train and evaluate machine learning models using Python, scikit-learn and related libraries.
  • Design and build robust data pipelines and workflows leveraging Pandas, SQL and Kedro.
  • Create clear, reproducible analysis and reports in Jupyter Notebooks.
  • Integrate machine learning models and data pipelines into production environments on AWS.
  • Work with Langchain to build applications leveraging large language models and natural language processing workflows.
  • Collaborate closely with data engineers, product managers and business stakeholders to understand requirements and deliver impactful solutions.
  • Optimize and monitor model performance in production and drive continuous improvement.

Required Skills and Experience

We are looking for a highly skilled Data Scientist with at least 7 years of professional experience in Data Science, Machine Learning or a related field.

  • 7+ years of professional experience in Data Science, Machine Learning or a related field.
  • Strong proficiency in Python and machine learning frameworks, especially scikit-learn.
  • Deep experience working with data manipulation and analysis tools such as Pandas and SQL.
  • Hands-on experience creating and sharing analyses in Jupyter Notebooks.
  • Solid understanding of cloud services, particularly AWS (S3, EC2, Lambda, SageMaker, etc.).
  • Experience with Kedro for pipeline development and reproducibility.
  • Familiarity with Langchain and building applications leveraging LLMs is a strong plus.

Benefits

At our organization, we believe that fostering an inclusive environment where everyone can thrive is crucial to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles and life circumstances.

  • Ability to communicate complex technical concepts clearly to non-technical audiences.
  • Strong problem-solving skills and a collaborative mindset.

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