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General ML/AI title, mid-level experience, Bengaluru metro, and broad LLM-plus-data skill requirements increase competition.
Core ML and data engineering skills are transferable, but LLM production experience increases domain specificity.
Minimum three years plus mandatory LLM production experience, Python, and ML skills.
Integrate AI/ML models into products and services, ensuring model quality through data processing, cleaning, and retraining.
Develop complex solution packages and manage associated release and adoption strategies for internal teams.
Participate in design discussions to improve existing products or implement new features related to ML services.
Minimum 3 years of experience in machine learning and/or data engineering projects with successful project delivery.
Proven experience implementing LLM-based solutions in production environments.
Proficiency in Python and data wrangling libraries such as Pandas.
Strong knowledge of standard ML algorithms, software design principles, algorithms, and data structures.
Experienced engineer capable of integrating and supporting LLM-based ML solutions in production.
Skilled in handling the full ML lifecycle including model retraining, data processing, and quality assurance.
Effective communicator able to explain complex technical concepts in English to diverse audiences.