Data Scientist - Generative AI

<p>Title : Data Science<br/><br/>Employment Type : Full-time, onsite/work from office - 5 days<br/><br/>Base location : Bangalore<br/><br/>Communication Skills : Above average/Good<br/><br/>Key Skills : Python/Pyspark + SQL + Gen AI (must have) - OpenAI, Azure OpenAI, Huggingface, etc.<br/><br/>Experience : 2+ years<br/><br/>Shift Timming : General Shift<br/><br/>Joining Time : Immediate to 45 days only<br/><br/>Relocation : Yes - will be assisted <br/><br/>Interview Proces : 2-3 Technical Discussions and HR round<br/><br/><b>Preference : Candidates from Tier-1 Institutes</b><br/><br/><b>Must Have : </b><br/><br/>- 1-3 Years of experience.<br/><br/>- Proficiency in Python/Pyspark, SQL.<br/><br/>- Experience with common data science toolkits such as pandas, numpy, scipy, scikit learn, and matplotlib.<br/><br/>- Strong understanding of statistical concepts including probability, conditional probability, probability distribution, sampling, estimation, and hypothesis testing.<br/><br/>- Experience with various machine learning techniques and algorithms including Regression, Decision Trees, Random Forest, XGBoost, k-NN, Naive Bayes, SVM, and Recommender systems.<br/><br/>- Excellent problem-solving and analytical skills with a keen eye for identifying patterns and insights in complex datasets.<br/><br/>- Minimum of bachelor's degree in a relevant discipline.<br/><br/><b>Good to Have : </b></p><p><br/></p><p>- Experience with Generative AI framework for instance OpenAI, Azure OpenAI, Huggingface e.t.c<br/><br/>- Experience with deep learning models like ANN, RNN, and CNN.<br/><br/>- Experience with deep learning frameworks such as Pytorch and Tensorflow.<br/><br/>- Experience with NOSQL databases such as MongoDB , Cassandra, HBase.<br/><br/>- Knowledge with Big Data algorithms and Data Lake.<br/><br/>- Knowledge of AutoML models like H2o and Pycaret.<br/><br/>- Experience with building NLP models.<br/><br/>- Good command of UNIX.<br/><br/>- Any post-graduate education/certification in statistics, AI, or related fields is preferred<br/></p><ul></ul><p></p> (ref:hirist.tech)