Deep Learning Engineer

Position: Deep Learning Engineer (Remote)

Required Experience: 7--10 years.

Job Summary:

Data Scientist with good hands-on experience in developing state of the art and scalable Machine Learning models and their operationalization, leveraging off-the-shelf workbench production.

Key Responsibilities:

· Hands on experience in Python data-science and math packages such as NumPy, Pandas, Sklearn, Seaborn, PyCaret, Matplotlib

· Proficiency in Python and common Machine Learning frameworks (TensorFlow, NLTK, Stanford NLP, PyTorch, Ling Pipe, Caffe, Keras, SparkML and OpenAI etc.)

· Experience of working in large teams and using collaboration tools like GIT, Jira and Confluence

· Good understanding of any of the cloud platform – AWS, Azure or GCP

· Should have an attitude of willingness to learn, accepting the challenging environment and confidence in delivering the results within timelines. Should be inclined towards self-motivation and self-driven to find solutions for problems.

· Should be able to mentor and guide mid to large sized teams under him/her

Job Requirements:

· Strong experience on Spark with Scala/Python/Java

· Strong proficiency in building/training/evaluating state of the art machine learning models and its deployment

· Proficiency in Statistical and Probabilistic methods such as SVM, Decision-Trees, Bagging and Boosting Techniques, Clustering

· Proficiency in Core NLP techniques like Text Classification, Named Entity Recognition (NER), Topic Modeling, Sentiment Analysis, etc. Understanding of Generative AI / Large Language Models / Transformers would be a plus

Must have Skills: • Real-world experience in implementing machine learning/statistical/econometric models/advanced algorithms • Breadth of machine learning domain knowledge • Experience in application of machine learning algorithms (classification, regression, deep learning, NLP, etc.) • Experience with a ML/data-centric programming language (such as Python, Scala, or R) and ML libraries (pandas, numpy, scikit-learn, etc.) • Experience with Apache Hadoop / Spark (or equivalent cloud-computing/map-reduce framework)

Educational Requirements

B.E./B.Tech/MCA

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