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Reputable multinational, Bangalore metro, senior generalist ML role with broad required skills increases competition.
Low because production ML/NLP skills transfer easily across industries; insurance experience is optional.
High due to explicit 6+ years requirement and many mandatory production ML and DevOps skills.
Design, build, and test machine learning models on Azure platform to solve complex business challenges.
Research and implement state-of-the-art ML techniques including zero-shot/few-shot learning and embedding approaches.
Develop high-quality, reusable AI product code adhering to security and quality standards.
6+ years of experience in Machine Learning with proven Python production code expertise.
Experience with ML frameworks like TensorFlow or PyTorch and scalable end-to-end ML/NLP system design.
Knowledge of distributed, high-throughput, low-latency systems and containerization technologies (Kubernetes, Docker).
Familiarity with NLP techniques (text pre-processing, entity extraction, encoder-decoder architectures) and CI tools such as Jenkins.
Experienced in building and deploying large-scale ML/NLP systems in production environments with robust software engineering practices.
Comfortable working with advanced ML techniques such as transformers (BERT, GPT) and modern AI modeling methods.
Able to handle shifting priorities while managing stakeholder expectations in a fast-paced, startup-like environment.