Software Engineer II

AMERICAN EXPRESS

1 - 6 years

20 - 25 Lacs

gurugram

Posted:15 hours ago| Platform:

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Skills Required

computer science career development cloud computing team management finance agile data structures teradata virtualization monitoring

Work Mode

Work from Office

Job Type

Full Time

Job Description

Responsible for contacting clients with overdue accounts to secure the settlement of the account. Also they do preventive work to avoid future overdues with accounts that have a high exposure.
Experience writing software in Python or similar.
Experience with data structures, algorithms, and software design.
Exposure to Data Science including Predictive Modelling.
Develop Algorithms in multilingual conversational systems.
Solve real-world scenarios for user commands and requests by identifying the right LLM models, tooling and frameworks.
Proven experience in developing and working with large language models (GPT-3, BERT, T5, etc.) and productionizing them on the cloud.
Strong foundation in machine learning concepts and techniques, including deep learning architectures, natural language processing, and text generation.
Proficiency in programming languages such as Python, TensorFlow,
PyTorch, and related libraries for model development and deployment.
Demonstrated ability to design, train, fine-tune, and optimize large language models for specific tasks.
Expertise in pre-processing and cleaning large datasets for training models.
Familiarity with data augmentation techniques to enhance model performance.
Knowledge of LLM operations , including evaluating model performance using appropriate metrics and benchmarks.
Ability to iterate and improve models based on evaluation results.
Experience in deploying language models in production environments and integrating them into applications, platforms, or services.
Exposure in building Predictive models using machine learning through all phases of development, from design through training, evaluation, validation, and implementation.
Experience with modern AI/ML & NLP Frameworks (e.g. Tensorflow), Dialogue Managers (e.g.Rasa), Search (e.g. Google Bert, GPT-3), Parsers (e.g. Dialogflow).
Review architecture and provide technical guidance for engineers
Perform statistical analysis of results and refine models
Experience on various data architectures, latest tools, current and future trends in data engineering space especially Big Data, Streaming and Cloud technologies like GCP, AWS, Azure.
Hands on experience with Big Data technologies (Spark, Kafka, Hive, etc.) and have at least 1 Big data implementation on platforms like Cornerstone, Teradata, etc.
Experience with Visualization Tools like Tableau, Power BI, etc.
Experience with complex, high volume, multi-dimensional data, as well as ML/AI models for unstructured, structured, and streaming datasets.
Knowledge of cloud computing, including virtualization, hosted services, multi-tenant cloud infrastructures, storage systems, and content delivery networks
Exposure in building cloud-native platforms on modern tech stack:Python, Pydentic, RESTful API, and container-based application.
Ability to learn new tools and paradigms in data engineering and science
Proven experience attracting, hiring, retaining, and leading top engineering talent.
Creative, passionate, and experienced leader of both people and technology
Team Management savvy (e.g., planning, budgetary control, people management, vendor management, etc.).
Experience with DevOps, reliability engineering, and platform monitoring
Well versed in AGILE, DevOps and Program Management methods
Bachelors degree with a preference for Computer Science

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