4 Function Calling Jobs

As a Generative AI Lead, you will be responsible for spearheading the design, development, and implementation of cutting-edge GenAI solutions within enterprise-grade applications. Your role will encompass leveraging your expertise in Large Language Models (LLMs), prompt engineering, and scalable AI system architecture, coupled with hands-on experience in MLOps, cloud technologies, and data engineering. Your primary responsibilities will include designing and deploying scalable and secure GenAI solutions utilizing LLMs such as GPT, Claude, LLaMA, or Mistral. You will lead the architecture of Retrieval-Augmented Generation (RAG) pipelines using tools like LangChain, LlamaIndex, Weaviate, FAISS, or ElasticSearch. Additionally, you will be involved in prompt engineering, evaluation frameworks, and collaborating with cross-functional teams to integrate GenAI into existing workflows and applications. Moreover, you will develop reusable GenAI modules for various functions like summarization, Q&A bots, and document chat, while leveraging cloud-native platforms such as AWS Bedrock, Azure OpenAI, and Vertex AI for deployment and optimization. You will ensure robust monitoring and observability across GenAI deployments and apply MLOps practices for CI/CD, model versioning, validation, and research into emerging GenAI trends. To be successful in this role, you must possess at least 8 years of overall AI/ML experience, with a focus of at least 3 years on LLMs/GenAI. Strong programming skills in Python and proficiency in cloud platforms like AWS, Azure, and GCP are essential. You should also have experience in designing and deploying RAG pipelines, summarization engines, and chat-based applications, along with familiarity with MLOps tools and evaluation metrics for GenAI systems. Preferred qualifications include experience with fine-tuning open-source LLMs, knowledge of multi-modal AI, familiarity with domain-specific LLMs, and a track record of published work or contributions in the GenAI field. In summary, as a Generative AI Lead, you will play a pivotal role in driving innovation and excellence in the development and deployment of advanced GenAI solutions, making a significant impact on enterprise applications and workflows.,

You should have expertise in Generative AI with a good understanding of various techniques such as GANs, VAEs, and other relevant architectures. Your experience should include applying these techniques to real-world problems like image and text generation. Familiarity with Gen AI development tools like Prompt engineering, Langchain, Semantic Kernels, and Function calling is required. Exposure to both API-based and open-source LLMs based solution design is preferred. In terms of technical proficiency, you should have knowledge in machine learning algorithms including linear regression, logistic regression, decision trees, random forests, support vector machines, and neural networks. Proficiency in data science tools like NumPy, SciPy, Pandas, Matplotlib, TensorFlow, and Keras is essential. Experience with cloud computing platforms such as AWS, Azure, and GCP is also necessary. Additionally, familiarity with natural language processing (NLP), Transformer models, attention mechanisms, word embeddings, computer vision, convolutional neural networks, recurrent neural networks, object detection, robotics, reinforcement learning, motion planning, and control systems is required. Understanding data ethics including bias in machine learning and fairness in algorithms is also expected. As an Infoscion, your responsibilities will include diagnosing customer issues, designing innovative solutions, facilitating deployment, and ensuring client satisfaction. You will be involved in developing proposals, solution design, product configuration, conducting pilots, resolving queries, demonstrating solutions, and preparing effort estimates. Leading small projects and contributing to organizational initiatives to provide high-quality solutions to customers is also part of the role. Your primary skills should encompass Artificial Intelligence, Computer Vision, Big Data, and Natural Language Processing (NLP). Proficiency in Machine Learning with Python is a must. Moreover, you should have the ability to develop value-creating strategies, knowledge of software configuration management systems, and awareness of the latest technologies and industry trends. If you possess the required skills and are keen on helping clients navigate their digital transformation journey, this opportunity at Infosys is ideal for you.,

Job Description: Generative AI Expertise In depth knowledge of various Generative AI techniques including GANs Generative Adversarial Networks VAEs Variational Autoencoders and other relevant architectures Experience with both image and text generation is essential Conversant with Gen AI development tools like Prompt engineering Langchain Semantic Kernels Function calling Exposure to both API based and opens source LLMs based solution design Responsible AI Should have proficient knowledge in Responsible AI and Data Privacy principles to ensure ethical data handling transparency and accountability in all stages of AI development Must demonstrate a commitment to upholding privacy standards mitigating bias and fostering trust within data driven initiatives Machine Learning Mastery Profound understanding of machine learning principles algorithms and frameworks Able to design and implement models optimize performance and manage training pipelines effectively Technical Proficiency Proficiency in programming languages commonly used in AI development such as Python TensorFlow PyTorch or similar tools Experience with cloud platforms e g AWS Azure GCP and distributed computing is advantageous Architecture Design Ability to design end to end Generative AI architectures that encompass data preprocessing model selection training pipelines and deployment strategies Strong grasp of scalable reliable and efficient system design Key Responsibilities: A day in the life of an Infoscion As part of the Infosys consulting team your primary role would be to lead the engagement effort of providing high quality and value adding consulting solutions to customers at different stages from problem definition to diagnosis to solution design development and deployment You will review the proposals prepared by consultants provide guidance and analyze the solutions defined for the client business problems to identify any potential risks and issues You will identify change Management requirements and propose a structured approach to client for managing the change using multiple communication mechanisms You will also coach and create a vision for the team provide subject matter training for your focus areas motivate and inspire team members through effective and timely feedback and recognition for high performance You would be a key contributor in unit level and organizational initiatives with an objective of providing high quality value adding consulting solutions to customers adhering to the guidelines and processes of the organization If you think you fit right in to help our clients navigate their next in their digital transformation journey this is the place for you Technical Requirements: Primary skills Technology Artificial Intelligence Computer Vision Technology Big Data Natural language processing NLP Technology Machine Learning Python Technology Machine Learning TensorFlow Additional Responsibilities: Good knowledge on software configuration management systems Strong business acumen strategy and cross industry thought leadership Awareness of latest technologies and Industry trends Logical thinking and problem solving skills along with an ability to collaborate Two or three industry domain knowledge Understanding of the financial processes for various types of projects and the various pricing models available Client Interfacing skills Knowledge of SDLC and agile methodologies Project and Team management Preferred Skills: Technology->Artificial Intelligence->Computer Vision,Technology->Big Data->Natural language processing(NLP),Technology->Machine Learning->Python,Technology->Machine Learning->TensorFlow

high proficiency and experience in designing/developing data analytics and data warehouse solutions with Azure Data Bricks, Azure Data Factory, services related to Azure Analytics, Azure SQL, Azure function app, logic app experience in designing large data distribution, integration with service-oriented architecture and/or data warehouse solutions proficient coding experience using Spark (Scala/Python), T-SQL prior ETL development experience using industry tool e.g. informatica/SSIS/Talend etc. a proven track of work experience in cloud (MS Azure platform preferred) in an agile SDLC environment, leveraging modern programming languages, DevOps, and test-driven development. Azure Data Bricks/Data Factory/Data Lake/ Devops/ Spark/Scala/Python Production grade work experience with Python Good understanding of Core Deep Learning theory, Language models, Transformers Solid understanding of LLM fundamentals Prompting, RAG, Function calling, Agentic Workflows