Data Scientist- Deep Learning & Model Building (Gurugram)

Job Summary - Data Scientist with good hands-on experience of 3+ years in developing state of the art and scalable Machine Learning models and their operationalization, leveraging off-the-shelf workbench production. Job

: - 1. Strong experience on Spark with Scala/Python/Java 2. Strong proficiency in building/training/evaluating state of the art machine learning models and its deployment 3. Proficiency in Statistical and Probabilistic methods such as SVM, Decision-Trees, Bagging and Boosting Techniques, Clustering 4. 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 Qualification: - - B-Tech or BE in Computer Science / Computer Applications from Tier 1-2 college with 3+ years of proven experience in the field of Advanced Analytics or Machine Learning OR - Master's degree in Machine Learning / Statistics / Econometrics, or related discipline from Tier 1-2 college with 3+ years of experience Must have Skills: - 1. Real-world experience in implementing machine learning/statistical/econometric models/advanced algorithms - Breadth of machine learning domain knowledge 3. Experience in application of machine learning algorithms (classification, regression, deep learning, NLP, etc.) 4. Experience with a ML/data-centric programming language (such as Python, Scala, or R) and ML libraries (pandas, numpy, scikit-learn, etc.) 5. Experience with Apache Hadoop / Spark (or equivalent cloud-computing/map-reduce framework) Skills that give you an edge: - - Strong analytical skills to solve and model complex business