Job Location: Bengaluru, Karnataka, India
Responsibilities
- Use deep learning, machine learning and analytical techniques to create scalable solutions for business problems.
- Design, development and evaluation of highly innovative models for predictive learning, content ranking, demand forecasting and anomaly detection.
- Interact with customer directly to understand the business problem, help and aid them in implementation of DL/ML algorithms to solve problems.
- Analyze and extract relevant information from large amounts of historical data to help automate and optimize key processes.
- Work closely with account team and product engineering teams to drive model implementations and new algorithms.
- Research and implement novel deep learning, machine learning and statistical approaches.
Requirements
- PhD/Masters in Computer Science (Machine Learning or Deep Learning) preferred.
- 4+ years of relevant experience in building large scale machine learning or deep learning models and/or systems.
- Strong working knowledge of deep learning, machine learning and statistics.
- Hands on experience building models with deep learning frameworks like MXNet, Tensorflow, Torch or similar.
- Experience in using Python.
- Experience in BI Tools like Tableau, PowerBi, QuickSight or Qlikview (preferred).
- Experience in building GUI platforms using Streamlit.
- Strong communication and data presentation skills.
- Experience in forecasting algorithms such as ARIMA, SARIMAX, LSTM, Regression, etc.
Preferred Qualifications
- 6+ years of relevant experience in industry and/or academia.
- The motivation to achieve results in a fast-paced environment.
- Experience with statistical modelling / machine learning.
- Strong attention to detail.
- Exceptional level of organization.
- Comfortable working in a fast paced, highly collaborative, dynamic work environment.
- Ability to think creatively and solve problems.
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