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Tier-1 employer, mid-level ML role, popular Data Scientist title, and metro location amplify competition.
ML/AI skills are transferable across industries but require domain-specific knowledge, so medium sensitivity.
Explicit 3–6 years plus mandatory ML, deployment, cloud and tool requirements increases filter strictness.
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Identify and develop data-driven business solutions in collaboration with stakeholders across business units.
Design, develop, and deploy scalable machine learning/AI models and algorithms tailored to customer needs.
Lead projects independently, mentor team members, and communicate complex analytics through dashboards and clear storytelling.
Bachelor's degree in Engineering (B.E).
3 to 6 years of experience in data science or related field.
Proficiency in Python for data preprocessing, feature engineering, and machine learning.
Experience with ML algorithms, API/web app development (Flask/Django), and deployment on cloud platforms (Azure/AWS) with Docker and CI/CD.
Experienced in handling end-to-end ML projects including data exploration, modeling, and deployment in cloud environments.
Able to independently lead projects and provide technical mentorship within teams.
Skilled at translating complex analytical insights into actionable business recommendations and effective stakeholder communication.