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Tier-1 brand and metro hiring raise competition, but senior, specialized ML role limits generalist applicants.
Strong ML and production focus makes skills transferable across industries, with moderate finance domain bias.
Requires advanced ML degrees, frameworks, cloud and production experience, creating stringent candidate filters.
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Design and productionize high quality machine learning models, services, and platforms impacting technology and business.
Collaborate across multiple business lines to deliver software solutions integrating AI technologies.
Develop and maintain scalable and reliable data processing pipelines to analyze and optimize business results.
Degree (BE/B.Tech, ME/MS or PhD) in Computer Science, Statistics, Mathematics or related ML field.
Proficiency in Python/Java or equivalent programming languages.
Expertise in machine learning areas such as NLP, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking, or Time Series Analysis.
Experience with ETL pipelines (batch and real-time), data warehousing, NoSQL databases, and cloud technologies (AWS/GCP/Azure).
Demonstrates ability to lead AI solution development with end-to-end ownership from experimentation to production.
Experienced with machine learning frameworks (Tensorflow/PyTorch) and prompt engineering for advanced model building.
Skilled in building and maintaining scalable data pipelines and cloud-native AI applications in a fast-paced, startup-like environment.