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Mid-level ML role in Bangalore with broad production skillset and metro location increases applicant competition.
Production ML engineering skills are broadly transferable across industries.
Explicit 3-6 years plus production ML and stack requirements enforce strict filtering.
Build, train, and deploy end-to-end machine learning models independently for complex projects.
Design and maintain scalable ML pipelines covering data processing through model serving.
Collaborate across teams to translate business needs into technical ML solutions and mentor junior engineers.
Bachelor's or Master's degree in Engineering, Mathematics, Statistics, or related field.
3-6 years professional experience in machine learning engineering with production ML model deployment.
Proficiency in Python, SQL, and experience with distributed computing frameworks like Spark.
Experience in data analytics (statistical analysis, visualization), and practical AI frameworks including LLMs or Generative AI.
Comfortable working autonomously on well-defined ML projects and contributing to technical system design discussions.
Experience with complex data sets and variety of ML models including classification, regression, anomaly detection, and deep learning.
Ability to maintain high code quality and participate in code reviews, with some mentoring experience for junior engineers.