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Job Description : Requirements : - 5+ years Fundamental knowledge of supervise and unsupervised learning and their applications in real world business scenarios. - Familiarity with End-2-End Machine Learning model development life cycle. - Experience in creating data processing pipelines and API development (Fast API). - Experience with deploying and maintaining ML/DL models in production, model monitoring, and knowledge of concept/data drift, model reproducibility, code, model, and data versioning. - Experience with SQL and NoSQL, MLflow, GitHub, docker, Kubernetes, ELK, or similar stack. - Hands on with text and image processing: cleaning, transformations, and data preparation for modelling. - And should be comfortable with libraries like Pandas, NumPy, OpenCV, PIL, Spacy, transformers etc. - Should have working knowledge of machine learning frameworks like Scikitlearn, PyTorch/ Tensorflow/Keras. - Experience with cloud computing platforms like GCP and AWS. - Should understand LLMs, Open AI API, model fine-tuning and prompt engineering. - Exposure to CI/CD principles and associated tools. - Good to have: Experience with deep learning frameworks. - Strong experience in programming and statistics. - Excellent verbal and written communication skills. - Highly developed attention to detail. - Strong presentation skills Ability to work well in a team environment. - Excellent problem-solving skill.

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Neutrinos - Machine Learning Engineer - Data Modeling (5-6 yrs)

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