4 Aiml Libraries Jobs

At EY, you will have the opportunity to shape a career that is as unique as you are. With our global reach, support, inclusive culture, and cutting-edge technology, you will have the resources to become the best version of yourself. Your distinctive voice and perspective are crucial in helping EY enhance its services. Join us in creating an exceptional experience for yourself and contributing to a better working world for all. As an AI and Full Stack Technical Lead, you will need the following skills: - 4-7 years of application development experience, with a minimum of 3 years focused on designing and writing modular code using ReactJs. - Strong expertise in React JS, Node JS, and Express JS. - Proficiency in Redux/Flux, RxJS, HTML, CSS, JavaScript, AJAX, and JSON. - In-depth knowledge of web application architecture, design patterns, and front-end technologies. - Understanding of browser, UI framework, and JavaScript engine internals. - Hands-on experience with Sass, CSS Frameworks (e.g., Bootstrap, Material), and REST API. - Proficiency in Core Python, API Integration, Data Processing, and AI/ML Libraries. - Experience in writing unit and integration test cases, working in agile methodologies, and building responsive UIs. - Familiarity with tools like Visual Studio, TFS, VSTS, and GIT. - Knowledge in Azure and devOps pipelines is a plus. Soft Skills required for this role include: - Excellent Communication Skills - Team Player - Self-starter and highly motivated - Ability to handle high-pressure situations - Excellent presentation skills - Collaboration with globally distributed teams Key Responsibilities of the role include: - Understanding existing application architecture and solution design. - Developing engaging, usable, and accessible UI applications/components for the web. - Collaborating with architects, leads, and team members in an agile scrum environment. - Prioritizing UX and building excellent UIs. - Contributing to all phases of the development lifecycle. - Mentoring junior and mid-level developers. - Reviewing code, establishing best practices, and staying updated with the latest technologies. At EY, we are dedicated to building a better working world by creating long-term value for clients, people, and society. Our diverse teams across 150 countries leverage data and technology to provide trust through assurance and support clients in their growth, transformation, and operations across various sectors. By asking better questions and finding innovative solutions, EY teams tackle the complex issues of today's world.,

As a seasoned Artificial Intelligence and Machine Learning professional with over 6 years of experience, you will be responsible for leveraging your deep understanding of AI and machine learning algorithms, including large language models (LLMs) like Azure OpenAI and Mystral. Your proficiency in deploying LLM on On-Prem or local Server will be crucial in this role. In this position, it is mandatory for you to have a strong grasp of cloud platforms such as Azure for deploying AI solutions and utilizing existing AI capabilities of the cloud platform. Additionally, familiarity with Azure Container Registry, Azure Container Instance, and App Services will be essential. Your programming skills should include strong coding abilities in languages like Python, as well as experience in Fast API, Flask API creation, and integration of APIs from third-party tools such as SNOW and Sharepoint. Proficiency in UI development using Angular, Streamlit, HTML, CSS, and JavaScript will also be required. Expertise in TensorFlow, PyTorch, and other relevant AI/ML libraries to fine-tune models is a must-have for this role. Moreover, familiarity with monitoring tools like Solarwinds, Splunk, and NewRelic will be advantageous. As part of the Data Engineering aspect, you will need to create data flow diagrams and ensure data security at rest and in motion. Collaborating with the team to analyze business data, implement solutions, and ensure data security and compliance will also be part of your responsibilities. In terms of Solution Architecture, you should demonstrate the ability to design and implement scalable AI solutions tailored to business needs. This includes architecture, design development, and walkthroughs with customers. You will also be involved in designing hardware and software requirements to deploy AI solutions for On-Prem or Cloud environments. A good understanding of Multi-factor Authentication is essential for this role. Additionally, the ability to estimate costs for deploying AI solutions on Cloud Platforms will be beneficial. At Wipro, we are reinventing the future of technology. Join us in building a modern Wipro where constant evolution is encouraged. We are looking for individuals who are inspired by reinvention and are eager to realize their ambitions in a purpose-driven environment. If you are ready to design your own reinvention and be part of a business that values diversity and inclusivity, Wipro is the place for you. Applications from individuals with disabilities are encouraged and welcome.,

As a Data Scientist specializing in Conversational AI and Generative AI, you will play a crucial role in driving forward our AI initiatives. Your main focus will involve developing and optimizing intelligent conversational systems by leveraging advanced techniques, particularly Large Language Models (LLMs) from OpenAI. Your responsibilities will include designing and implementing Conversational AI solutions that utilize Generative AI and OpenAI models. You will fine-tune LLMs to improve their performance in conversational settings, analyze large datasets to extract insights for enhancing models, collaborate with cross-functional teams to incorporate AI solutions into products and services, conduct experiments to assess the efficacy of AI implementations, and keep abreast of the latest advancements in AI research and technology. To excel in this role, you should possess at least 4 years of experience in data science, machine learning, or a related field. A strong grasp of Conversational AI and Generative AI, along with hands-on experience with OpenAI technologies, is essential. Proficiency in natural language processing (NLP) techniques and frameworks, familiarity with CI/CD pipelines, Git, and prompt engineering, robust programming skills in Python, and knowledge of AI/ML libraries are also required. Familiarity with cloud platforms such as AWS, GCP, or Azure would be advantageous. Additionally, you should demonstrate excellent analytical and problem-solving abilities, strong communication skills for effectively presenting findings to technical and non-technical audiences, and the capability to work autonomously while efficiently managing multiple projects. If you are passionate about pushing the boundaries of AI technology and have a proven track record in data science and AI development, we encourage you to apply and be a part of our dynamic team.,

Key Responsibilities Design and develop AI solutions that address real-world business challenges, ensuring alignment with strategic objectives and measurable outcomes. Work with large-scale structured and unstructured datasets, leveraging modern data frameworks, tools, and platforms. Establish and maintain robust standards for data security, privacy, and regulatory compliance across all AI and data workflows. Collaborate closely with cross-functional teams to gather requirements, share insights, and deliver high-impact solutions. Monitor and maintain production AI systems to ensure continued accuracy, scalability, and reliability over time. Stay up to date with the latest advancements in AI, machine learning, and data engineering, and apply them where relevant. Write clean, well-documented, and maintainable code, and actively contribute to team best practices and technical documentation. Required Skills & Qualifications Bachelors or Masters degree in Computer Science, Data Science, or a related field Strong programming skills in Python (preferred) and experience with AI/ML libraries such as TensorFlow, PyTorch, scikit-learn, or Hugging Face Experience designing and deploying machine learning models and AI systems in production environments Familiarity with modern data platforms and cloud services (e.g., Azure, AWS, GCP), including AutoML and MLflow Proficiency with data processing tools and frameworks (e.g., Spark, Pandas, SQL) and working with both structured and unstructured data Experience with Generative AI technologies, including prompt engineering, vector databases, and RAG (Retrieval- Augmented Generation) pipelines Solid understanding of data security, privacy, and compliance principles, with experiencng implementing these in real-world projects Strong problem-solving skills and ability to translate complex business problems into technical solutions Excellent communication and collaboration skills, with the ability to work effectively across technical and non- technical teams Experience with version control (e.g., Git) and agile development practices Enthusiasm for learning and applying emerging technologies in AI and machine learning