Machine Learning Lead

Responsibilities

• 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
• Proven 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