Vacancy description
Vikruthi Technologies
Bombay, भारत
Job Description :- End-to-end ownership of at least one production ML deliverable (recommender, NLP, personalization, segmentation, or GenAI feature) including how it was evaluated and what changed after launch.- Familiarity with ML frameworks and data engineering tools, including ML and NLP systems.- Hands-on delivery of scalable data pipelines, including concrete scale and complexity details (volumes, SLAs, latency/freshness targets, backfill strategy, failure handling).Key Responsibilities :- Own the endtoend delivery of at least one production ML product (e.g., recommender, NLP, personalization, segmentation, or GenAI feature), including design, implementation, evaluation, launch, and postlaunch impact analysis.- Develop and maintain scalable data pipelines, specifying volume, SLA, latency/freshness targets, backfill strategies, and robust failure handling.- Apply appropriate ML frameworks and dataengineering tools to build, test, and deploy models in a production https://jobeax.com/link/1eyrmHNst0oOnGC1 Skills :- Proficiency with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikitlearn) and NLP libraries.- Strong experience building and operating data pipelines, with an understanding of scale, performance, and reliability considerations.- Ability to define and track evaluation metrics, and to interpret model performance changes after deployment. (ref:hirist.tech)