Sr Machine Learning Engineer
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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 brand, generic ML title, mid-level requirement, metro location, and broad tech stack increase applicant density.
Core ML skills transfer across industries, though payments domain knowledge moderately increases domain sensitivity.
Explicit 3+ years requirement plus mandatory ML frameworks and cloud deployment skills increases filter strictness.
Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and implement scalable machine learning models and algorithms to solve complex business problems.
Collaborate with data scientists, software engineers, and product teams to integrate ML solutions into products and services.
Deploy and monitor ML models in production environments to improve customer experiences and drive business insights.
Minimum Requirements
3+ years of relevant experience or equivalent combination of education and experience.
Bachelor’s degree required; PhD in Computer Science or related field mandatory for recent graduate position.
Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn.
Familiarity with cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment.
Ideal Candidate Profile
Experienced in designing, implementing, and deploying production machine learning models in cross-functional team environments.
Comfortable working with large datasets and optimizing ML pipelines for scalability.
Recent graduates with a PhD in Computer Science or related field expected to apply (graduated within past 12 months or graduating by Spring 2027).