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Senior, niche ML role reduces competition though brand and metro location increase applicant pool.
ML engineering skills are transferable, but senior roles often need domain-specific experience.
Senior ML engineering role requires deep technical experience and proven delivery, causing high shortlisting strictness.
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Own the full software development lifecycle including requirements analysis, design, development, unit testing, and documentation.
Deliver complex application features independently with responsibility for code reusability, stability and resolving key technical issues.
Mentor junior engineers, deliver training, and contribute to knowledge sharing within the team.
Work Experience Required: Not explicitly mentioned in the JD
Experience in software development covering analysis, design, coding, unit testing, and documentation.
Ability to provide accurate personal time estimates and adhere to company release processes.
Not explicitly mentioned: Specific qualifications, location or notice period requirements.
Operates independently with a broad project overview and proactive problem identification.
Experienced in developing and maintaining reusable, stable code with attention to security and usability.
Capable of mentoring and knowledge transfer within a team environment, indicating leadership at a technical level.