Machine Learning Engineer – Time Series Analysis

What role you will play in team: You will be a key contributor to our team focusing on time series forecasting and analysis for various business applications.

What you will do: You will build and maintain machine learning models for predicting future trends based on historical time series data.

Key responsibility:

• Develop and implement machine learning models for time series forecasting using techniques like ARIMA, Prophet, LSTM, etc.
• Perform feature engineering and data preprocessing for time series data.
• Evaluate model performance using appropriate metrics.
• Deploy and monitor models in production.
• Collaborate with other engineers and data scientists.

Required Qualification and Skills:

• Bachelor's or Master's degree in Computer Science, Statistics, or a related field.
• Proficiency in Python or R.
• Experience with time series analysis and forecasting techniques.
• Understanding of deep learning models for time series.

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  Experience with cloud platforms (AWS, Azure, or GCP) is a plus.

Benefits Included:

• Competitive salary and benefits.
• Opportunities for professional development and growth.
• Collaborative and supportive work environment.

A Day in the Life: A typical day involves building and testing time series models, collaborating with the team, and working on improving model accuracy and efficiency.