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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 brand, Bangalore location, and broad MLOps/ML skillset increase candidate competition.
MLOps and platform engineering skills are broadly transferable across industries.
Multiple mandatory MLOps, ML and platform technical skills required though no explicit years stated.
Job Description
Structured overview of role & requirementsAbout This Role
Design, implement, and maintain scalable end-to-end machine learning solutions, including feature engineering, model deployment, and monitoring for production environments.
Collaborate with stakeholders to translate business needs into integrated data engineering and AI/ML platform solutions, ensuring reliability and value-driven delivery.
Lead cross-team initiatives to optimize workflows, share best practices, and mentor team members through code reviews and knowledge sharing to improve AI/ML platform capabilities.
Minimum Requirements
Proficient programming skills in Python, R, and SQL.
Advanced proficiency in building and deploying machine learning pipelines and models in production.
Experience working with big data technologies and data processing frameworks like Apache Hadoop and Apache Spark.
Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Experienced in AI/ML platform engineering combining cloud infrastructure, software engineering, DevOps, and MLOps for enterprise AI solutions.
Has a strong background implementing scalable AI/ML workflows, emphasizing model lifecycle management, monitoring, observability, and governance.
Able to communicate technical concepts clearly to both technical and non-technical stakeholders and drive cross-functional collaboration.