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Machine Learning Engineer

2 weeks ago

Shimoga, Karnataka, India beBeeDataScience Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Job Title: Data Science Expert

We are seeking a skilled professional to lead the development of machine learning models and deploy them in production environments.

Key Responsibilities:

  • Leverage expertise in SAS to Python conversions to ensure seamless integration and optimal performance.
  • Develop skills necessary for building and deploying cloud-based applications, including large language models and generative AI.
  • Conduct feature engineering, exploratory data analysis, pipeline creation, model training, and hyperparameter tuning using structured and unstructured datasets.

Essential Skills:

  • Hands-on experience with SAS to Python conversions.
  • Strong mathematical and statistical foundations.
  • Proficiency in AI-specific tools like Hugging Face Transformers.
  • Ability to interpret business requirements and translate them into actionable solutions.
  • Expertise in programming languages, including Python, Scikit-Learn, TensorFlow, PyTorch, and Keras.
  • Experience with exploratory data analysis, machine learning, and deep learning algorithms.
  • Familiarity with MLOps, data pipeline management, and data engineering principles.
  • Understanding of statistics, including probability distributions and hypothesis testing.
  • Experience with time series modeling, forecasting, image/video analytics, and natural language processing (NLP).
  • Familiarity with cloud services, including AWS, GCP, Azure, and Databricks.

Benefits:

  • Ongoing training and professional development opportunities.
  • A dynamic work environment that encourages innovation and creativity.
  • The chance to work on challenging projects and make a meaningful impact.

About the Role:

This is an excellent opportunity for a skilled data scientist to join our team and contribute to the development of cutting-edge machine learning models. If you are passionate about working with complex data sets and have a strong background in machine learning, we encourage you to apply.