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ML Engineer
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- Posted 14 days ago
- Over 200 applicants have applied
Job Description
pandas, mlflow, scikit-learn, gensim, nltk, TensorFlow/PyTorch, production ML deployment on AWS/Azure/GCP, drift monitoring, vector databases, LLM fine-tuning, HuggingFace, Langchain, OpenAI, technical communication to mixed audiences; preferred: Apache Spark, Databricks platform, 4+ yrs pre/post-sales customer-facing experience
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Key Skills
About Company
Skills:
Matplotlib, Machine Learning, Data Structures, Deep Learning, Tensorflow, Algorithms, Nlp, Nltk, Pytorch, Gcp, Data Visualization, Agile, Seaborn, Scrum, Keras, Azure, Python, AWS, Plotly, Hugging Face, Software Engineering Principles, SpaCy
Skills:
Pytorch, Tensorflow, Python, NLP techniques and libraries, Basic MLOps practices, Azure ML or equivalent cloud ML services
Skills:
Machine Learning, Natural Language Processing, Deep Learning, Numpy, Pytorch, Pandas, Python, Hugging Face Transformers, TesserAct, Scikit-Learn, LayoutLM, PaddleOCR
Skills:
Spark, Time Series Analysis, Log Parsing, RCA activities, Automation Intelligence, LLM RAG, Anomaly pattern detection
Skills:
Python, Pytorch, Cuda, FastAPI, Tensorflow, Flask, Machine Learning, Linux, Data Science Frameworks, NVIDIA computer vision SDKs, GPU technologies