Artificial Intelligence

3 hours ago

Mumbai, Maharashtra, India beBeeMachine Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Job Overview

The role of a Machine Learning Model Developer is to design, develop, and deploy sophisticated machine learning models for production. This entails feature engineering, exploratory data analysis, pipeline creation, model training, and hyperparameter tuning using both structured and unstructured datasets.

This position requires proficiency in cloud services, including AWS, GCP, Azure, and Databricks, as well as expertise in programming languages such as Python, Scikit-Learn, TensorFlow, PyTorch, and Keras.

Additionally, the ideal candidate will possess skills in artificial intelligence-specific utilities like ChatGPT, Hugging Face Transformers, and other tools.

The successful applicant will have the ability to derive use cases and create solutions from large amounts of structured and unstructured data.

Key Responsibilities:

  • Implement and fine-tune AI-generated text prompts using Large Language Models (LLMs).
  • Develop skills in AI-specific utilities.
  • Derive use cases and create solutions from large amounts of structured and unstructured data.
  • Communicate effectively through storytelling and business documentation.

Required Skills:

  • Programming skills in Python, Scikit-Learn, TensorFlow, PyTorch, and Keras.
  • Machine learning and deep learning algorithms.
  • Model building, hyperparameter tuning, and model performance metrics.
  • Cloud services from AWS, GCP, Azure, and Databricks.
  • Big Data basics with Spark and Hive (optional).

Benefits:

The ideal candidate will acquire the necessary skills to build machine learning models and deploy them for production.

They will also develop cloud-based applications, including those leveraging LLMs/GenAI, and deploy them into production.

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