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Protocol Intelligence
Data-driven signals on your job's competitivenessPopular ML staff role, broad skill requirements, and metro location at a recognizable brand increase competition.
Strong ML and big-data technical requirements make cross-industry fit moderately transferable.
Explicit 8+ years, 5+ years ML experience, and mandatory tech stack create high shortlisting rigidity.
Job Description
Structured overview of role & requirementsAbout This Role
Build, own, and deploy scalable machine learning algorithms and systems impacting business-critical initiatives and user experience.
Explore large datasets to research and develop ML models solving key business problems.
Collaborate cross-functionally with data science, business, and engineering teams to deliver ML-based data products and improve architectural scalability.
Minimum Requirements
8+ years of overall software development experience; at least 5+ years applying machine learning to real industry problems.
Strong coding skills with experience in Big Data technologies and ML frameworks (e.g., SparkML, TensorFlow, PyTorch, Keras).
Experience with scalable machine learning application development processing large data volumes.
Work Experience Required: Explicitly mentions 8+ years software development, 5+ years ML industry experience.
Ideal Candidate Profile
Deep understanding of machine learning algorithms and modeling techniques with proven applied experience.
Experienced in distributed systems and addressing large-scale engineering challenges.
Skilled in collaborative development across data science, business, and engineering domains in fast-growing data and ML platforms.