Data Science Expert

2 days ago

Varanasi, Uttar Pradesh, India beBeeMachineLearning Full time US$ 80,000 - US$ 1,50,000

A seasoned professional is sought to develop innovative solutions in machine learning.

Job Description

We are seeking a skilled machine learning expert to join our team and contribute to the development of cutting-edge solutions.

The ideal candidate will have a strong background in machine learning, with expertise in designing, building, and deploying robust ML models in a production environment.

Experience with AWS SageMaker is essential in creating scalable solutions that deliver real business value.

This role involves collaborating with data scientists to translate models and algorithms into production-ready code.

The successful candidate will be responsible for managing the entire machine learning lifecycle, including data ingestion, model training, validation, and deployment.

They will also implement MLOps best practices to automate workflows and ensure model performance and reliability.

The position requires optimizing ML models for performance, scalability, and cost efficiency on the AWS platform.

Additionally, the candidate will monitor and troubleshoot deployed models to ensure they meet performance and business requirements.

Qualifications:
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • At least 3 years of experience in a machine learning or data science role.
  • Hands-on experience with AWS services, specifically SageMaker.
  • Proficiency in Python and standard ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).
  • Experience with containerization technologies like Docker.
  • Solid understanding of MLOps principles and tools for CI/CD.
  • Knowledge of data engineering principles and experience with big data technologies (e.g., Spark, Hadoop).
  • Strong problem-solving skills and the ability to work in a collaborative environment.
Preferred Qualifications:
  • Experience with other AWS services such as S3, Lambda, Glue, and Redshift.
  • Certifications such as AWS Certified Machine Learning – Specialty.
  • Experience with model serving frameworks (e.g., Flask, FastAPI).
  • Experience with version control systems like Git.
  • Familiarity with agile development methodologies.

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