Senior ML Engineer

6 days ago


Bengaluru, Karnataka, India ToneTag Full time

Job Summary

We are seeking a seasoned Senior AI/ML Developer to join our team at ToneTag, the largest sound-wave communication technology platform on the planet.

About ToneTag

ToneTag enables payments & proximity customer engagement services in various sectors such as retail, mobility, and restaurant ordering, harnessing the power of sound to empower businesses worldwide.

With over 55 Million consumers and 500,000 merchants in the payments space alone, ToneTag is an organization where innovation, hard work, and fun come together to create unique experiences.

Our entrepreneurial team believes in going beyond today's problems to find tomorrow's solutions, and we invite you to share our vision and commitment to excellence.

Responsibilities

  1. Design, develop, and implement machine learning models and algorithms to drive business growth.
  2. Create new models from scratch based on business requirements and data, leveraging your expertise in supervised, unsupervised, and reinforcement learning techniques.
  3. Train, fine-tune, and evaluate machine learning models to ensure optimal performance and deploy them into production environments.
  4. Collaborate with cross-functional teams to understand business needs and provide AI/ML solutions that drive results.
  5. Optimize and improve performance of existing models, and conduct research to identify new methodologies for applying AI/ML within the organization.

Requirements

  • Machine Learning: Strong understanding of machine learning techniques, including supervised, unsupervised, and reinforcement learning.
  • Model Development: Experience in developing machine learning models from scratch, including data preprocessing, feature engineering, and model selection.
  • Deep Learning: Proficiency with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
  • Natural Language Processing and Generation: Experience with NLP techniques and tools, including large language models (LLMs) like GPT, BERT, and llama.
  • Programming: Proficiency in Python and familiarity with other languages such as Java or C++.
  • Tools and Libraries: Experience with ML libraries and tools such as Scikit-learn, Pandas, NumPy, and SciPy.
  • Cloud Platforms: Experience with cloud-based ML platforms such as AWS SageMaker, Google Cloud AI, or Azure ML.
  • MLOps: Knowledge of MLOps practices for model versioning, monitoring, and continuous integration/continuous deployment (CI/CD).
  • Visualization: Proficiency with data visualization tools such as Matplotlib, Seaborn, or Tableau.
  • Hugging Face: Familiarity with Hugging Face's ecosystem, including the Transformers library for pre-trained models, the datasets library for handling and processing datasets, and the Model Hub for sharing and discovering models.

About You

We are looking for a skilled and experienced AI/ML Developer who is passionate about innovation, hard work, and fun. If you are a seasoned professional looking for your next challenge, or just starting your career and looking for a company that offers ample scope and training, we invite you to join our team and embark on this exciting journey with ToneTag.


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