:Essential skills for the roleGood exposure to Data science fundamentals besides developing and deploying models for language processing tasks. Improve the performance of existing models. Familiarity with language models like GPT and BERT, and the ability to fine-tune or adapt them for specific use cases. Familiarity with cloud services, ideally AWS ecosystem, and serverless architectures, to effectively deploy and manage AI solutions. Ability in creating APIs to integrate machine learning models into existing applications or services. Proficiency in programming languages like Python, JavaScript. Experience around NLP libraries and frameworks for text processing, sentiment analysis, named entity recognition, Intent classification, and other language-related tasks, such as scikit-learn, NumPy, NLTK, SpaCy. Work closely with LLM frameworks such as LangChain, OpenAIs APIs, Vector databases, and apply Prompt design techniques. Hands-on experience with some of the most popular ML frameworks (e.g., TensorFlow, PyTorch, Transformers, etc.). Awareness of the AI controllability, including privacy, bias, fairness, transparency, and the ability to implement AI systems responsibly and in compliance with legal and ethical guidelines. Willingness to stay updated with the latest developments in AI/ML and continuously learn new techniques and best practices. Experience working in insurance Domain. Experience working in Agile/Scrum methodologies and frameworks (JIRA), RESTful APIs, and DevOps principles.CollaborationEffective collaboration alongside developers and cross-functional teams. Ability to clearly communicate technical concepts to both technical and non-technical team members. Advocate for software engineering good practices (e.g., version control, documentation, test-driven development). Strong problem-solving skills to approach complex AI challenges and devise innovative solutions. Strong verbal and written communication skills in English. Ability to work independently and as part of a team.Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available .
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