Working with both structured and unstructured data (images, text, video, audio)
Developing AI and ML models. Researching on new AI and ML techniques
Experience of working with Transformers (BERT, RoBERTa), CNN, LSTM, XGBoost, GPT, YOLO etc.
Processing, cleansing, and verifying the integrity of data used for analysis.
Working on pattern recognition, knowledge graph, classification and regression techniques
Qualifications
Strong understanding of machine learning algorithms & principles (regression analysis, time series, probabilistic models, supervised classification and unsupervised learning), and their application.
Strong experience in NLP and BERT family models
Familiarity with Deep Learning frameworks such as TensorFlow and PyTorch (strong experience in at least one).
Excellent programming skills in prototyping languages such as Python and R.
Experience with Java and Scala is a plus.
Good experience using SQL
Experience building ML/DL models at scale
Proficient with Git
Possessing Docker / Kubernetes experience is an added advantage
Knowledge of Web Application Development (Good to have)
PySpark and Big Data technologies (Good to have)
Most importantly, a can-do attitude and desire to make a difference is an absolute must.
Education
Bachelors or Master's in Computer Science, Electrical Engineering, Statistics, or equivalent fields from Tier-1 colleges
