Posted:19 hours ago| Platform: Shine logo

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Job Type

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Job Description

We are seeking a skilled Python AI/ML Data Science Developer to become part of our vibrant team. If you have practical experience in training AI models, creating Python scripts for AI-driven solutions, and streamlining workflows through tools like n8n, we invite you to join us. Your enthusiasm for AI, data science, and automation would be a valuable addition to our team. Your duties will include leveraging existing datasets to train AI models with advanced machine learning algorithms and frameworks like TensorFlow, Keras, PyTorch, or scikit-learn. You will concentrate on training models using multilingual datasets that include languages such as Hindi, English, and Hinglish. Additionally, you will be responsible for developing, optimizing, and managing efficient Python scripts for various data science tasks, like data preprocessing, model training, evaluation, and automation. You will process and analyze extensive datasets to extract valuable insights that can enhance model performance and drive predictive analytics. Furthermore, you will use n8n to automate data pipelines and workflows, facilitating the integration of multiple services and enhancing operational efficiency. You will also assist in deploying AI models into production environments, monitoring their performance, and ensuring smooth operation, particularly when handling multilingual datasets. Collaboration with data scientists, engineers, and cross-functional teams will be crucial to creating AI-driven solutions that align with business goals. It is essential to stay updated on the latest AI/ML trends, tools, and technologies to implement new techniques and enhance models and scripts continually. Expertise in Hugging Face's open-source pre-trained models, such as BERT, multilingual MPNet, and DistilBERT, will be necessary to address a variety of language processing challenges. You will work on advanced AI models supporting OCR, transcription, translation, transliteration, and video contextual understanding for diverse business applications. The ideal candidate will have up to 3 years of experience as an AI/ML Developer or Data Scientist, with a strong command of Python libraries like TensorFlow, Keras, scikit-learn, Pandas, NumPy, etc. Proficiency in machine learning techniques, data wrangling, feature engineering, and model evaluation is essential. Knowledge of n8n for workflow automation, managing MCP servers, problem-solving abilities, and effective communication skills are also required. Experience with cloud-based AI/ML services, version control tools like Git, and basic understanding of Docker and containerization for model deployment are additional qualifications we seek. In return, we offer opportunities for continuous learning and growth, a competitive salary, and benefits. If you are excited about working in a collaborative and innovative environment, we would be thrilled to have you on board.,

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