Bachelor’s or master’s degree in computer science, data science, or a related field
6 to 8 years of hands-on experience working on ML engineering
Experience in end-to-end model development life cycle spanning (but not limited to) data sampling, model training, deployment, and performance evaluation
Expertise in Python with the ability to write performant production-quality code
Familiarity with SQL, knowledge of spark and cloud data environments (Azure cloud services)
Experience of using Azure DevOps, ADF, MLFlow, Feature Stores etc.
Knowledge of building and deploying CI/CD pipelines
Solid understanding of machine learning algorithms and techniques
Experience working on large scale machine learning projects, handling big data, and distributed computing frameworks like Hadoop or Spark.
Proficient in data manipulation, data preprocessing, and feature engineering. - Strong problem-solving and analytical skills.
Experience of working in an Agile framework