Data Scientist- SSDE/ML

Location: Hyderabad/ Bangalore

Job Description

• We are seeking a highly skilled and experienced Lead Data Scientist to join our team.
• The successful candidate will be responsible for overseeing the design and implementation of data science projects.
• The Lead Data Scientist will also be responsible for providing technical guidance and leadership to the team and ensuring that projects are delivered on time and to a high standard. 
• Lead and manage to deliver high-quality data science projects 
• Collaborate with stakeholders to identify business problems and opportunities that can be addressed with data science solutions. 
• Design and implement data science models using machine learning techniques 
• Develop and implement ML pipelines to support data science projects 
• Create and maintain documentation for data science projects 
• Communicate and present findings to stakeholders in a clear and concise manner 
• Stay up to date with the latest developments in data science and machine learning          

Must-Haves

• Strong programming skills in Python
• Experience with machine learning frameworks such as TensorFlow, Porch, Scikit-Learn 
• Strong knowledge on Machine Learning algorithms such as regression, random forest, boost, genetic algorithms, anomaly detection, AutoML
• Strong knowledge on timeseries models such as ARIMA, SARIMA, exponential smoothing, prophet, Croston forecasting etc.,
• Knowledge of Mops tools and techniques such as mellow, Docker, Kubernetes, and CI/CD pipelines 
• Experience with Large Language Models and Foundation models (proprietary as well as opensource)
• Experience with natural language processing (NLP) and computer vision (CV) techniques 
• Strong problem-solving skills and ability to think creatively. 
• Exposure with cloud computing platforms such as AWS, Azure, or GCP 
• Strong attention to detail and ability to work in a fast-paced environment. 
• Ability to work independently and as part of a team 

Key Skills: Data Scientist, Machine Learning, autoML, Python, Model deployments, Azure