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Tier-1 brand, metro location, mid-level AI role with broad ML skillset increases applicant competition.
Role requires specialized ML model development and deployment skills, limiting cross-industry transferability.
Explicit years requirement plus production ML deployment and framework experience indicate strict technical filters.
Develop, deploy, and maintain machine learning models and pipelines ensuring scalability, reliability, and efficiency in production.
Research, experiment with, and optimize ML algorithms and hyperparameters to maximize performance and generalization.
Collaborate with CI/CD, research, and engineering teams to integrate automated model training and seamless deployment workflows.
Bachelor’s or Graduate Degree in Computer Science, Statistics, Mathematics, Data Science, or related field, or equivalent work experience.
Typically 4-7 years of relevant work experience in machine learning, programming languages, algorithms, or related domains.
Proficiency with ML frameworks and tools such as Python, PyTorch, TensorFlow, Scikit-learn, and cloud platforms like AWS or Azure.
Work Experience Required: 4-7 years as explicitly mentioned in the JD.
Experienced in end-to-end ML system design, deployment, and lifecycle management in production environments.
Proven ability to lead or direct team activities in ML projects with moderate complexity and cross-team impact.
Strong background in programming, statistical modeling, and automation within Agile and cloud-based development ecosystems.