Data Model Developer at beBeeMachineLearning

Position Data Model Developer
Posted 2025 December 17
Expired 2026 January 16
Company beBeeMachineLearning
Location Mount Abu | IN
Job Type Full Time
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Job Description:

Latest job information from beBeeMachineLearning for the position of Data Model Developer. If the Data Model Developer vacancy in Mount Abu matches your qualifications, please submit your latest application or CV directly through the updated Jobkos job portal.

Please note that applying for a job may not always be easy, as new candidates must meet certain qualifications and requirements set by the company. We hope the career opportunity at beBeeMachineLearning for the position of Data Model Developer below matches your qualifications.

Job Overview

We are seeking a seasoned data professional to develop and deploy machine learning models.

  • Design, train, and evaluate ML models for tasks such as classification, anomaly detection, forecasting, and natural language understanding.
  • Build and fine-tune deep learning models, including RNNs, GRUs, LSTMs, and Transformer architectures (e.g., BERT, T5, GPT).
  • Develop and deploy Generative AI solutions, including RAG pipelines for use cases such as document search, Q&A, and summarization.

Requirements

Essential Skills

  • 4–5 years of hands-on experience in machine learning or data science roles.
  • Proficient in Python and ML/DL libraries: scikit-learn, pandas, PyTorch, TensorFlow.
  • Strong knowledge of traditional ML and deep learning, especially for sequence and NLP tasks.

Job Info:

  • Company: beBeeMachineLearning
  • Position: Data Model Developer
  • Work Location: Mount Abu
  • Country: IN

How to Submit an Application:

After reading and understanding the criteria and minimum qualification requirements explained in the job information Data Model Developer at the office Mount Abu above, immediately complete the job application files such as a job application letter, CV, photocopy of diploma, transcript, and other supplements as explained above. Submit via the Next Page link below.

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