Job Description:

We are looking for an experienced Software Engineer with 5+ years of experience, who will be responsible for the research and evaluation of technical options to implement business requirements, write code and provide effort estimations. Therefore, a commitment to collaborative problem-solving is essential.

Responsibilities

• Hands on experience in Python scientific computing eco-system (pandas, numpy, scikit-learn and matplotlib etc)
• Excellent understanding and working knowledge of Machine Learning Life Cycle & Machine learning models:
  • Supervised (Classification, Regression)
  • Unsupervised (Anomaly detection, dimensionality reduction and clustering)
• Experience with Time Series models in either of the following:
  • Statistical models i.e. (ARIMA, exponential smoothing, Prophet)
  • Boosting and tree-based models like XGBoost and Lightgbm
  • Neural Networks (RNN like LSTM and other variations of RNN etc.) based models
• Sound knowledge of ML models optimization for performance and scalability
• Hands on & Knowledge of distributed & parallelization tools and frameworks (Spark, Dask, Ray etc)
• Hands on experience of continuously monitoring and evaluating the performance of machine learning models and adjust as needed
• Experience working with Cloud Provider such as GCP, Azure etc.
• Experience of Machine Learning Pipeline Development and Deployment to Production
• Sound knowledge of ML Ops concepts as such Experiment Tracking, Model Versioning and Feature Store
• Experience in leading or mentoring Data Scientists or Machine Learning Engineers
• Excellent communication and collaboration skills
• Knowledge of Pipeline Orchestration tools like Airflow
• Experience using Docker
• Experience working with Kubernetes

Requirements

• Minimum 5+ years of experience
• Strong problem-solving and software engineering skills.
• Good in Object Oriented Programming and SQL
• Good understanding of mathematics and Statistics

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