Senior Applied Scientist, Selection Monitoring

: - Using AI, NLP and advances in LLMs/SLMs and agentic systems to create scalable solutions for business problems. - Developing models for efficiently crawling web, automate extraction of relevant information from large amounts of Visually Rich Documents and optimize key processes. - Designing, developing, evaluating and deploying, innovative and highly scalable ML models, esp. leveraging latest advances in RL-based fine-tuning methods like DPO, GRPO etc. - Identifying latest technical/research trends applicable for the problems of efficient web navigation and web-scale information extraction and adapting them to concrete open problems. - Influencing software engineering teams to drive and optimize model implementations. - Challenging status quo in the current end-to-end production stack and ML models and identifying opportunities for simplification, improvements, cost-saving and innovation. - Establishing scalable, efficient, automated processes for large scale model development, model validation and model maintenance. - Leading projects and mentoring other scientists, interns, engineers in the use of ML techniques. - Publishing innovation in research forums. BASIC QUALIFICATIONS - 6+ years of building machine learning models for business application experience - PhD, or Master's degree - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. - - Experience using deploying large-scale ML models. - - Experience in advanced LLM training/fine-tuning methods.

Amazon is a global technology company operating in e-commerce, cloud computing (AWS), digital streaming, advertising and artificial intelligence. Its India operations span development centres in Bengaluru, Hyderabad, Chennai, Pune, Gurugram and Mumbai, covering retail technology, AWS infrastructure, Alexa, advertising, payments and supply-chain systems.