Data Scientist/ AI Developer
Core
Design and develop predictive machine learning and AI algorithms for industrial domains like Banking, Retail, and Telecommunications, integrating models into production pipelines.
Role type
Machine Learning Engineer (Applied AI)
Builds
Integrated predictive analytics solutions for Banking, Retail, and Telecommunications
Domain
Big Data and ML-powered Analytics for industrial deployment
Deliverable
production ML models
Required skills
Python, Scala, Java, SQL, scikit-learn, TensorFlow, Keras, PyTorch, RNN, CNN, GAN, model tuning, cross validation, Git
Preferred skills
ML-Ops frameworks (MLFlow, PyCaret), Big Data infrastructure (Spark, HDFS, Hive), REST API deployment (FastAPI), Docker
Technologies
Python, Scala, Java, SQL, scikit-learn, TensorFlow, Keras, PyTorch, MLFlow, PyCaret, Spark, HDFS, Hive, Impala, Trino, SparkML, FastAPI, Docker, Jupyter, Superset, Zeppelin
Responsibilities
Design and develop new predictive machine learning and artificial intelligence algorithms; Integrate ML models into the production pipeline; Analyze datasets to identify patterns and extract insights; Visualize and present dataset findings and features
Seniority
Mid-level (3+ years experience)