Data Driven Innovation Specialist

2 weeks ago

Kannur, Kerala, India beBeeMachineLearningEngineer Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Senior Machine Learning Engineer

As a senior machine learning engineer, you will be responsible for designing and implementing complex data pipelines using traditional machine learning and deep learning techniques.

This role requires a strong understanding of large datasets and cloud-based AI services. You will work closely with cross-functional teams to ensure that the implemented solutions meet business requirements.

The ideal candidate will have at least 8 years of relevant work experience and a graduate degree in computer science or a related field. They will also have hands-on experience designing ETL pipelines using AWS services such as Glue and SageMaker.

Some of the key skills required for this role include proficiency in programming languages such as Python and PySpark, familiarity with machine learning libraries and frameworks, and a solid understanding of software engineering principles.

Additionally, the candidate should have experience working with NoSQL databases, feature stores, and model evaluation metrics. API design and development are also a plus.

  • Core Responsibilities:
  • Design and implement data pipelines using machine learning and deep learning techniques.
  • Collaborate with cross-functional teams to ensure that the implemented solutions meet business requirements.
  • Work with data scientists to review model-ready datasets and feature documentation.
  • Perform data discovery and analysis to identify opportunities for improvement.
  • Develop and maintain model monitoring scripts to diagnose issues and coordinate resolutions.

Certifications and Qualifications:

  • Graduate degree in computer science or a related field.
  • At least 8 years of relevant work experience.
  • Hands-on experience designing ETL pipelines using AWS services.
  • Proficiency in programming languages such as Python and PySpark.
  • Familiarity with machine learning libraries and frameworks.
  • Strong understanding of software engineering principles.
  • Experience working with NoSQL databases, feature stores, and model evaluation metrics.
  • API design and development a plus.

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