No of Positions –   10

Experience – Fresher

Required Skills:

• Strong hold on Machine learning and Deep Learning capabilities
• Good understanding of data structures, data modelling and software architecture
• Familiarity with Python Advanced, Sclera/Pandas/NumPy, Pytorch/ TensorFlow
• Experience in Data wrangling/Feature Engineering
• In-depth understanding of classical statistical forecasting algorithms like ARIMA, ETS, etc. as well as new age algorithms like Prophet.

• Expert level proficiency in Multivariate Time Series Forecasting or Causal Forecasting
• Proven experience is handling Time Series Forecasting using standard Regression algorithms like Linear Regression, Gradient Boosted Decision Trees, Random Forest, etc.

• Good practical knowledge with Sequence Models in Deep Learning, like LSTMs, Transformers, etc. especially in the context of Time Series Forecasting.

• Proficiency with at least one Deep Learning Framework such as Pytorch, TensorFlow, etc.
• Very good theoretical and practical knowledge of AI, ML and DL methods and in-depth experience in relevant tools/languages such as Python

• Knowledge of neural network architecture (Convent’s, RNNs, LSTMs, etc.) and experience with deep learning libraries (karas, TensorFlow, Pytorch etc.)

• Ideally, some experience in extracting entities and relations (information extraction) from unstructured data sources, and in recognizing and classifying objects in images

• Ideal candidate is committed, motivated, willing to learn new tools technologies, and be willing to step outside their comfort zone