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Tier-1 employer, visible AI/Data Scientist role, and metro hiring increases candidate competition.
ML engineering skills transfer across industries but require model and tooling experience, so sensitivity is moderate.
Explicit minimum experience and ML skill requirements create moderate filtering without rigid niche certifications.
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Design and implement AI systems and scalable machine learning models to transform raw data into actionable insights for clients.
Collaborate in building and deploying software and platform systems to support AI solutions and client decision-making.
Build meaningful client relationships while anticipating team and client needs in complex and ambiguous situations.
Bachelor's degree is mandatory.
Minimum 2 years of relevant experience in AI, machine learning, or related data science roles.
Proficiency in AI implementation and machine learning required.
Travel willingness up to 20% expected.
Background in Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems, or Engineering preferred.
Certifications in data engineering, machine learning, or cloud platforms such as AWS, Google Cloud, Microsoft Azure, Databricks, or Snowflake are advantageous.
Able to navigate ambiguity while focusing on client needs, and capable of building and managing client relationships effectively.