72 Llm Models Jobs - Page 3

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Data and Analytics team is a multi-disciplinary technology team delivering client projects and solutions across Data Mining & Management, Visualization, Business Analytics, Automation, Statistical Insights, and AI/GenAI. The assignments cover a wide range of countries and industry sectors. We are looking for an Associate Manager - AI/GenAI, proficient in Artificial Intelligence, Machine Learning, deep learning and LLM models for Generative AI, text analytics, and Python Programming. You will be responsible for developing and delivering industry sectors specific solutions which will be used to implement the EY SaT mergers and acquisition methodologies. **Your key responsibilities:** - Develop, review, and implement Solutions applying AI, Machine Learning, Deep Learning, and develop APIs using Python. - Lead the development and implementation of Generative AI applications using open source and closed source Large Language Models (LLMs). - Work with advanced models for natural language processing and creative content generation using contextual information. - Design and optimize solutions leveraging Vector databases for efficient storage and retrieval of contextual data for LLMs. - Understand Business and Sectors, identify whitespaces and opportunities for analytics application. - Work on large to mid-size projects, ensure smooth service delivery, and provide expert reviews. - Communicate with cross-functional teams and manage stakeholder relationships. **Skills and attributes for success:** - Able to work creatively and systematically in a time-limited, problem-solving environment. - Loyal, reliable, with high ethical standards. - Flexible, curious, creative, and able to propose innovative ideas. - Good interpersonal skills, team player, and positive in a group dynamic. - Intercultural intelligence, experience of working in multi-cultural teams. - Ability to manage multiple priorities simultaneously and drive projects to completion with minimal supervision. **To qualify for the role, you must have:** - Experience in guiding teams on AI/Data Science projects and communicating results to clients. - Familiarity with implementing solutions in Azure Cloud Framework. - Excellent Presentation Skills. - 8-10 years of relevant work experience in developing and implementing AI, Machine Learning Models. - Experience in statistical techniques, deep learning, machine learning algorithms. - Proficient in Python programming and SDLC principles. - Willingness to mentor team members and travel extensively. - Excellent written and verbal communication skills. **Ideally, you'll also have:** - Ability to think strategically and build rapport within the firm and with clients. If you are a team player with commercial acumen, technical experience, and enthusiasm to learn new things in a fast-moving environment, and interested in being part of a market-prominent, multi-disciplinary team, this opportunity at EY could be the next step in your career growth.,

As a Lead DevOps Engineer at GrowExx, you will collaborate with cross-functional teams to define, design, and implement DevOps infrastructure while adhering to best practices of Infrastructure as Code (IAC). Your primary goal will be to ensure a robust and stable CI/CD process that maximizes efficiency and achieves 100% automation. You will be responsible for analyzing system requirements comprehensively to develop effective Test Automation Strategies for applications. Additionally, your role will involve designing infrastructure using cloud platforms such as AWS, GCP, Azure, or others. You will also manage Code Repositories like GitHub, GitLab, or BitBucket, and automate software quality gateways using Sonarqube. In this position, you will design branching and merging strategies, create CI pipelines using tools like Jenkins, CircleCI, or Bitbucket, and establish automated build & deployment processes with rollback mechanisms. Identifying and mitigating infrastructure security and performance risks will be crucial, along with designing Disaster Recovery & Backup policies and Infrastructure/Application Monitoring processes. Your role will also involve formulating DevOps Strategies for projects with a focus on Quality, Performance, and Cost considerations. Conducting cost/benefit analysis for proposed infrastructures, automating software delivery processes for distributed development teams, and promoting software craftsmanship will be key responsibilities. You will be expected to identify new tools and processes, and train teams on their adoption. Key Skills: - Hands-on experience with LLM models and evaluation metrics for LLMs. - Proficiency in managing infrastructure on cloud platforms like AWS, GCP, or Azure. - Expertise in Infrastructure as Code (IaC) tools such as Terraform, CloudFormation, or Pulumi. - Managing code repositories using GitHub, GitLab, or Bitbucket, and implementing effective branching and merging strategies. - Designing and maintaining robust CI/CD pipelines with tools like Jenkins, CircleCI, or Bitbucket Pipelines. - Automating software quality checks using SonarQube. - Understanding of automated build and deployment processes, including rollback mechanisms. - Knowledge of infrastructure security best practices and risk mitigation. - Designing disaster recovery and backup strategies. - Experience with monitoring tools like Prometheus, Grafana, ELK, Datadog, or New Relic. - Defining DevOps strategies aligned with project goals. - Conducting cost-benefit analyses for optimal infrastructure solutions. - Automating software delivery processes for distributed teams. - Passion for software craftsmanship and evangelizing DevOps best practices. - Strong leadership, communication, and training skills. Education and Experience: - B Tech or B. E./BCA/MCA/M.E degree. - 8+ years of relevant experience with team-leading experience. - Experience in Agile methodologies, Scrum & Kanban, project management, planning, risk identification, and mitigation. Analytical and Personal Skills: - Strong logical reasoning and analytical skills. - Effective communication in English (written and verbal). - Ownership and accountability in work. - Interest in new technologies and trends. - Multi-tasking and team management abilities. - Coaching and mentoring skills. - Managing multiple stakeholders and resolving conflicts diplomatically. - Forward-thinking mindset.,

As a Gen AI developer with experience in production level deployment, you will be responsible for designing and implementing LLMs at scale. You will participate as a team member in fully agile Scrum deliveries and work on full stack AI/ML design, building and maintaining efficient and reliable Gen AI code leveraging pipelines. Additionally, you will utilize your hosting and deployment knowledge in GCP along with advanced engineering concepts to build a user-friendly UI interface for easy adoption. To be successful in this role, you should have 4-5 years of overall experience with significant exposure in LLM development, design, architecture, scaling, and hosting. It is essential to have experience with Python, LLM models, small-sized LLMs, code-based LLM models, pipelines like Langchain/Ollama, embeddings, memory management, tokenization, and frameworks like RAG. Previous experience in cloud hosting, either AWS, Azure, or GCP, is required. You will also be expected to implement a feedback mechanism to continually improve the model over time through feedback.,

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. The Data and Analytics team at EY is a multi-disciplinary technology team delivering client projects and solutions across Data Mining & Management, Visualization, Business Analytics, Automation, Statistical Insights, and AI/GenAI. The assignments cover a wide range of countries and industry sectors. We are looking for an Assistant Director - AI/GenAI, proficient in Artificial Intelligence, Machine Learning, deep learning, and LLM models for Generative AI, text analytics, and Python Programming. You will be responsible for developing and delivering industry sectors specific solutions which will be used to implement the EY SaT mergers and acquisition methodologies. Your key responsibilities include developing, reviewing, and implementing Solutions applying AI, Machine Learning, Deep Learning, and developing APIs using Python. Having a relevant understanding of Big Data and Visualization would be beneficial. You will lead the development and implementation of Generative AI applications using both open source and closed source Large Language Models (LLMs). You will extensively work with advanced models for natural language processing and creative content generation using contextual information. Furthermore, you will design and optimize solutions leveraging Vector databases for efficient storage and retrieval of contextual data for LLMs. Your role will also involve understanding business and sectors, identifying whitespaces and opportunities for analytics application, managing projects, ensuring smooth service delivery, and communicating with cross-functional teams. Skills and attributes for success include the ability to work creatively and systematically in a time-limited, problem-solving environment, loyalty, reliability, high ethical standards, flexibility, curiosity, creativity, good interpersonal skills, teamwork, intercultural intelligence, experience of working in multi-cultural teams, ability to manage multiple priorities simultaneously, and excellent communication skills. To qualify for this role, you must have experience guiding teams on AI/Data Science projects, familiarity with Azure Cloud Framework, excellent presentation skills, 12-16 years of relevant work experience in AI and Machine Learning, experience in statistical techniques, deep learning, machine learning algorithms, programming in Python, SDLC experience, and willingness to mentor team members. Additionally, having the ability to think strategically, build rapport, travel extensively, and work on client sites/practice office locations is ideal. EY Global Delivery Services (GDS) offers a dynamic and truly global delivery network with fulfilling career opportunities, continuous learning, transformative leadership, and a diverse and inclusive culture. Join us at EY to build a better working world through trust, innovation, and value creation for clients, people, and society.,

You are an experienced AI/ML Engineer with a solid foundation in Machine learning, Artificial Intelligence, and at least one year of hands-on experience in Generative AI. You are proficient in Python, LLM Models, and emerging techniques such as Retrieval-Augmented Generation (RAG), model fine-tuning, and agentic AI systems. Your responsibilities will include designing, developing, and deploying AI/ML solutions with an emphasis on generative models and LLMs. You will implement and optimize RAG pipelines for knowledge-aware AI systems, fine-tune and customize models for specific domains or applications, and build and manage agentic AI systems capable of autonomous planning and decision-making. Collaboration with cross-functional teams to identify use cases and deliver scalable AI-powered features is essential. You will stay up to date with the latest developments in AI/ML and contribute to internal knowledge sharing. Required qualifications include 3+ years of experience in AI/ML development, a minimum of 1 year of hands-on experience in Generative AI projects, proficiency in Python and common ML libraries, a strong understanding of Large Language Models (LLMs) and transformer architectures, experience with RAG pipelines, and hands-on experience with model fine-tuning using LoRA, PEFT, or Hugging Face Transformers. Additionally, experience developing agentic AI systems and working with cloud platforms is necessary. You will work with frameworks & libraries such as LangChain, LlamaIndex, AutoGen, PyTorch, and TensorFlow, model providers like OpenAI, Anthropic, Llama, Mistral, vector stores such as FAISS, Pinecone, Milvus, and APIs & Services like REST, GraphQL. Experience with DevOps & Infra tools like Docker, AWS/GCP/Azure will be beneficial for this role.,

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of yourself. We are counting on your unique voice and perspective to help EY become even better. Join us and build an exceptional experience for yourself, and contribute to creating a better working world for all. As an Assistant Manager in AI/Gen AI within the Data and Analytics team, you will be part of a multi-disciplinary technology team that delivers client projects and solutions across Data Mining & Management, Visualization, Business Analytics, Automation, Statistical Insights, and AI/GenAI. The assignments you work on will cover a wide range of countries and industry sectors. Your key responsibilities include: - Developing, reviewing, and implementing solutions using AI, Machine Learning, Deep Learning, and Python programming. - Leading the development and implementation of Generative AI applications using both open source and closed source Large Language Models (LLMs). - Working with advanced models for natural language processing and creative content generation. - Designing and optimizing solutions leveraging Vector databases for efficient storage and retrieval of contextual data for LLMs. - Identifying opportunities for analytics applications within various industry sectors. - Managing projects and ensuring smooth service delivery. - Collaborating with cross-functional teams and stakeholders. Skills and attributes we are looking for: - Ability to work creatively and systematically in a time-limited, problem-solving environment - High ethical standards and reliability - Curiosity, creativity, and openness to new ideas - Good interpersonal and communication skills - Experience in working with multi-cultural teams and managing multiple priorities simultaneously To qualify for this role, you must have: - Experience in guiding teams on AI/Data Science projects and communicating results to clients - Familiarity with implementing solutions in Azure Cloud Framework - Presentation skills and 6-8 years of relevant work experience in developing and implementing Agentic GenAI/AI, Machine Learning Models - Proficiency in Python programming and experience with statistical techniques, deep learning, and machine learning algorithms - Familiarity with the software development life cycle and product development principles Ideally, you will also have: - Strategic thinking abilities and a customer-focused mindset - Ability to build rapport and trust with clients - Willingness to travel extensively and work on client sites/practice office locations What we offer: EY Global Delivery Services (GDS) provides a dynamic and truly global delivery network with fulfilling career opportunities and exciting projects. You will have the chance to collaborate with EY teams worldwide and work on projects with well-known brands. Continuous learning, success defined by you, transformative leadership, and a diverse and inclusive culture are all part of what EY offers to its employees. Join us at EY to be a part of a team that is committed to building a better working world by creating long-term value for clients, people, and society, and by building trust in the capital markets.,

You should have hands-on experience in Machine Learning Model and deep learning development using python. You will be responsible for Data Quality Analysis and Data preparation, Exploratory Data Analysis, and visualization of data. Additionally, you will define validation strategies, preprocessing or feature engineering on a given dataset, and data augmentation pipelines. Text processing using Machine Learning and NLP for processing documents will also be part of your role. Your tasks will include training models, tuning their hyperparameters, analyzing model errors, and designing strategies to overcome them. You should have experience with python packages such as Numpy, Scipy, Scikit-learn, Theano, TensorFlow, Keras, PyTorch, Pandas, and Matplotlib. Experience in working on Azure open AI studio or openai using python or LLAMA or Langchain is required. Moreover, experience in working on Azure function and python flask/api development/streamlit, prompt engineering, conversational AI, and LLM models like word2Vec, Glove, spacy, BERT embedding models is preferred. You are expected to possess distinctive problem-solving, strategic, and analytical capabilities, as well as excellent time-management and organization skills. Strong knowledge in Programming languages like Python, reactjs, SQL, big data is essential. Excellent verbal and written communication skills are necessary for effective interaction between business and technical architects and developers. You should have 2 - 4 years of relevant experience and a Bachelors Degree in Computer Science, Computer Engineering, masters in computer application, MIS, or a related field. End-to-End development experience in deployment of the Machine Learning model using python and Azure ML studio is required. Exposure in developing client-based or web-based software solutions and Certification of Machine Learning and Artificial Intelligence will be beneficial. Good to have experience in power platform or power pages or Azure OpenAI studio. Grant Thornton INDUS comprises GT U.S. Shared Services Center India Pvt Ltd and Grant Thornton U.S. Knowledge and Capability Center India Pvt Ltd. Grant Thornton INDUS is the shared services center supporting the operations of Grant Thornton LLP, the U.S. member firm of Grant Thornton International Ltd. Established in 2012, Grant Thornton INDUS employs professionals across a wide range of disciplines including Tax, Audit, Advisory, and other operational functions. The culture at Grant Thornton INDUS promotes empowered people, bold leadership, and distinctive client service. Working at Grant Thornton INDUS offers an opportunity to be part of something significant and serves communities in India through inspirational and generous services to give back to the communities they work in. Grant Thornton INDUS has its offices in two locations in India Bengaluru and Kolkata.,

Job Title: Data Engineer Location: Pune Experience: Fresher 5 years Employment Type: Full-Time About the Role: We are looking for talented Data Engineers to join our expanding team. You will be responsible for integrating, managing, and optimizing data systems thus contributing to innovative and challenging projects. This is a great opportunity to enhance your technical skills and become a part of a successful team. Key Responsibilities: Develop, customize, and manage data integration tools, databases (MySQL), and data warehouses using Python, Java, and other relevant technologies. Write and execute complex queries and automation scripts for processing operational data. Collaborate with the testing team to assess the reliability and performance of systems. Deploy data models into production, manage computing resources, and implement monitoring tools. Create tools for data visualization, reporting, and support for data analysis. Monitor and optimize data pipeline performance and stability, ensuring alignment with evolving data models. Work with senior engineers to implement improvements and process enhancements. Stay updated on data engineering best practices, focusing on automation and efficiency. Assist in the development of Machine Learning models by providing clean and structured data pipelines. Mentor and collaborate with peers, contributing to a learning-focused work environment. Technology Stack & Required Skills: Strong understanding of ETL processes, experience with tools like Airflow. Hands-on experience with Python, Java and relational databases (e.g., MySQL) and NoSQL databases (e.g., Cassandra, MongoDB). Knowledge of cloud platforms such as AWS or Azure, with experience in tools like Azure Data Factory or AWS Snowflake. Basic understanding of Machine Learning concepts and experience supporting ML models (optional but preferred). Experience with Big Data tools such as Spark and streaming tools like Kafka is a plus. Familiarity with data visualization tools like PowerBI or Tableau. Strong ability to handle large data volumes efficiently. Knowledge of GenAI LLM models. Qualifications: BE/ME/MCA in Computer Engineering or related field. Fresher-5 years of experience in Data Engineering roles. Prior experience working in Agile teams and contributing to complex projects.

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. As an Assistant Director - AI/GenAI in the Data and Analytics team at EY, you will be part of a multi-disciplinary technology team delivering client projects and solutions across Data Mining & Management, Visualization, Business Analytics, Automation, Statistical Insights, and AI/GenAI. Your assignments will cover a wide range of countries and industry sectors. Your key responsibilities include developing, reviewing, and implementing solutions applying AI, Machine Learning, Deep Learning, and developing APIs using Python. You will lead the development and implementation of Generative AI applications, work with advanced models for natural language processing and creative content generation, and optimize solutions leveraging Vector databases for efficient storage and retrieval of contextual data for LLMs. Additionally, you will work on identifying opportunities for analytics application, manage projects, study resource needs, provide expert reviews, and communicate effectively with cross-functional teams. To qualify for this role, you must have 12-16 years of relevant work experience in developing and implementing AI, Machine Learning Models, experience in Azure Cloud Framework, excellent presentation skills, and familiarity with statistical techniques, deep learning, and machine learning algorithms. Proficiency in Python programming, experience with SDLC, and willingness to mentor team members are also required. Ideal candidates will have the ability to think strategically, build rapport with clients, and be willing to travel extensively. In addition, we look for individuals with commercial acumen, technical experience, and enthusiasm to learn in a fast-moving environment. This role offers the opportunity to be part of a market-prominent, multi-disciplinary team and work with EY SaT practices globally across various industries. EY Global Delivery Services (GDS) is a dynamic and truly global delivery network that offers fulfilling career opportunities in collaboration with EY teams on exciting projects worldwide. Continuous learning, transformative leadership, and a diverse and inclusive culture are some of the key aspects of working at EY. EY exists to build a better working world by providing trust through assurance and helping clients grow, transform, and operate across various sectors. Your role at EY will contribute to creating long-term value for clients, people, and society while building trust in the capital markets.,

Are you looking for an exciting opportunity to join a dynamic and growing team in a fast-paced and challenging area This is a unique opportunity for you to work in our team to partner with the Business to provide a comprehensive view. This position is a Quant Profile to support the activities of the Quantitative Research Group (cross asset classes) & Custody & Fund Services globally, sitting out in Mumbai. The QR team in Mumbai plays a critical role in providing effective, timely, and independent assessments of the Firm's booking models of exotic structures and also helps in developing new models for structures as and when necessary. As a Quantitative Research Associate/Vice President within the Quantitative Research Group, you will partner with the Business to provide a comprehensive view and support the activities of the Quantitative Research Group across asset classes globally. You will play a critical role in providing effective, timely, and independent assessments of the Firm's booking models of exotic structures and help develop new models as necessary. You will be part of a team transforming business practices through data science and other quantitative methods, where JP Morgan is a dominant player, handling trillions of dollars of client assets. Job Responsibilities: - Perform large-scale analysis on our proprietary dataset to solve problems never tackled before. - Identify new insights that drive feature modeling to generate nuanced insights. - Build models end-to-end, from prototype to full-scale production. - Make real-world, commercial recommendations through effective presentations to various stakeholders. - Leverage data visualization to communicate data insights and results. - Document and test new/existing models in partnership with control groups. - Implementation of models in Python-based proprietary libraries. - Ongoing desk support. Required qualifications, capabilities & skills: - A master's or Ph.D. degree program in computer science, statistics, operations research, or other quantitative fields. - Strong technical skills in data manipulation, extraction, and analysis. - Fundamental understanding of statistics, optimization, and machine learning methodologies. - Build models end-to-end, from prototype to full-scale production, utilizing ML/ big data modeling techniques. - Knowledge in the development of models on cloud infrastructure. - Integrate and utilize LLM models for advanced model development and enhancement. - Possess basic knowledge of financial instruments and their pricing. - Mastery of software design principles and development skills using one of C++, Python, R, Java, Scala. - Previous practical experience in solving machine learning problems using open-source packages. - Strong communication skills (both verbal and written) and the ability to present findings to a non-technical audience. Preferred qualifications, capabilities & skills: - Participation in KDD/Kaggle competition or contribution to GitHub highly desirable.,

You are an experienced AI/ML Engineer with a solid foundation in Machine Learning and Artificial Intelligence, and a minimum of one year of hands-on experience in Generative AI. Your expertise includes proficiency in Python, LLM Models, and emerging techniques such as Retrieval-Augmented Generation (RAG), model fine-tuning, and agentic AI systems. Your key responsibilities will involve designing, developing, and deploying AI/ML solutions focusing on generative models and LLMs. You will be required to implement and optimize RAG pipelines for knowledge-aware AI systems, fine-tune and customize models for specific domains, and build and manage agentic AI systems capable of autonomous planning and decision-making. Collaborating closely with cross-functional teams, you will identify use cases and deliver scalable AI-powered features. It is essential to stay updated with the latest AI/ML developments and contribute to internal knowledge sharing. To qualify for this role, you must have a minimum of 3 years of experience in AI/ML development, with at least one year of hands-on experience in Generative AI projects. Proficiency in Python and common ML libraries like PyTorch and scikit-learn is required. A strong understanding of Large Language Models (LLMs) and transformer architectures is essential. Experience in building RAG pipelines, integrating vector search systems, and model fine-tuning using tools like LoRA, PEFT, or Hugging Face Transformers is expected. Familiarity with developing agentic AI systems using frameworks such as LangChain, AutoGen, or custom orchestration logic is preferred. Additionally, experience working with cloud platforms is beneficial. You will work with frameworks and libraries including LangChain, LlamaIndex, AutoGen, PyTorch, and TensorFlow. Model providers you will engage with are OpenAI, Anthropic, Llama, and Mistral. Your expertise will also involve working with vector stores like FAISS, Pinecone, and Milvus, along with APIs & Services such as REST and GraphQL. In terms of DevOps & Infrastructure, you will utilize tools like Docker, AWS/GCP/Azure. Join us in this dynamic role where you will contribute to cutting-edge AI/ML projects and make a significant impact in the field of Artificial Intelligence.,

We are seeking a Mid-Level LLM Application Developer with 3+ years of experience in software development, who is enthusiastic about constructing intelligent applications utilizing Azure OpenAI, Python, and LLM frameworks. This full-time position is dedicated to the design, development, and implementation of scalable LLM-powered solutions, such as chatbots, knowledge assistants, and RAG-based systems. You will collaborate closely with cross-functional teams to materialize innovative AI solutions, capitalizing on the latest generative AI and agentic technologies. Responsibilities: - Design and develop LLM-powered applications utilizing Python and Azure OpenAI services. - Construct end-to-end Retrieval-Augmented Generation (RAG) pipelines, incorporating vector databases, semantic search, and related tools. - Develop conversational agents and virtual assistants, employing frameworks like LangChain or LlamaIndex. - Create effective prompts using advanced prompt engineering and design techniques. - Integrate LLMs with external tools, APIs, and business data systems. - Apply Agentic AI patterns to RAG and AI Workflows, engaging with LLMs by orchestrating various agents together. - Deploy and manage applications using Azure Functions, Azure AI services, and serverless components. - Ensure performance, scalability, and reliability of AI solutions on Azure. - Collaborate across teams and participate in agile development processes. Required Skills (Must Have): - Proficiency in Python programming language. - Expertise in Azure OpenAI Service, including foundation model usage and integration. - Build and deploy AI solutions leveraging Azure AI services (e.g., Cognitive Services, Azure ML, Azure AI Search). - Deep experience in prompt engineering, including various prompting strategies (few-shot, chain-of-thought, etc.). - Hands-on experience building RAG pipelines with vector databases and tool integrations. - Proven experience developing chatbots or virtual assistants using LLMs. - Proficiency in at least one LLM application framework (e.g., LangChain, LlamaIndex). - In-depth understanding of LLM models, their capabilities, and applications. - Good understanding of LLM evaluations, and how to evaluate LLM model outputs. - Good understanding of using AI Agents and Agentic AI Patterns to integrate with LLMs. - Experience deploying with Azure Function Apps and broader Azure ecosystem. - Solid grasp of API integrations and data workflow design. - Strong problem-solving skills and ability to deliver scalable, efficient code. - Excellent communication and team collaboration abilities. Preferred Skills (Good to Have): - Familiarity with Multi-Agent AI orchestration and agentic workflows. - Experience building cloud-native services with serverless architectures. - Understanding of NLP techniques and data transformation pipelines. - Familiarity with LLMOps concepts and AI model lifecycle. Qualifications: - Bachelor's degree in computer science, Computer Engineering, or a related field. - 3+ years of experience in software development. - Experience with LLM applications and cloud platforms. - Strong understanding of software development methodologies (e.g., Agile). Location: DGS India - Pune - Kharadi EON Free Zone Brand: Dentsu Creative Time Type: Full time Contract Type: Permanent,

The ideal candidate for this position will be responsible for understanding business problems and formulating analytical solutions. You will apply machine learning, data mining, and text mining techniques to develop scalable solutions for various business challenges. You will also be involved in speech to text translation for Video/Audio NLP Analysis and generative AI application for Market Research data. Additionally, you will solve problems using advanced AI techniques, including GenAI methods, by designing NLP/LLM/GenAI applications/products with robust coding practices. Experience in LLM models like PaLM, GPT4, and Mistral is preferred. You will be expected to train, tune, validate, and monitor predictive models, as well as analyze and extract relevant information from large amounts of historical business data in structured and unstructured formats. Furthermore, you will establish scalable, efficient, automated processes for large-scale data analyses and develop and deploy Data Science models on cloud platforms like GCP, Azure, and AWS. Working with large, complex data sets using tools such as SQL, Google Cloud Services, Hadoop, Alteryx, and Python will be part of your daily responsibilities. Preferred qualifications for this role include 2+ years of experience in market research, data mining, statistical analysis, Gen AI, modeling, deep learning, optimization, or similar analytics. Additionally, having 2+ years of work experience with Python, SQL, and/or visualization/dashboard tools like Tableau, PowerBI, or Qliksense is desired. Comfort with working in an environment where problems are not always well-defined and the ability to effectively advocate technical solutions to various audiences are also important. Candidates with 3-4 years of industry experience and a Bachelor's or Master's degree in a quantitative field such as Statistics, Computer Science, Economics, Mathematics, Data Science, or Operations Research are required for this position. You should have 3+ years of experience using SQL for acquiring and transforming data, as well as experience with real-world data, data cleaning, data collection, or other data wrangling challenges. Knowledge in fundamental text data processing and excellent problem-solving, communication, and data presentation skills are essential. Moreover, you should be flexible to work on multiple projects/domains/tools, possess collaborative skills to work with business teams, and be comfortable coding in Tensorflow and/or Pytorch, Numpy, and Pandas, Scikit-learn. Experience with open-source NLP modules like SpaCy, HuggingFace, TorchText, fastai.text, and others is beneficial. Proven quantitative modeling and statistical analysis skills, along with a proactive and inquisitive attitude towards learning new tools and techniques, are highly valued.,

Responsibilities : Design and develop LLM-powered applications using Python and Azure OpenAI services. Extend digital products and platforms, and LLM Apps , with new capabilities Support adoption of digital platforms and LLM Apps, by onboarding new clients Driving automation to expedite and accelerate new client adoption Build end-to-end Retrieval-Augmented Generation (RAG) pipelines , integrating vector databases, semantic search and other related tools. Develop conversational agents and virtual assistants , using frameworks like LangChain or LlamaIndex. Craft effective prompts using advanced prompt engineering and prompt design techniques . Integrate LLMs with external tools, APIs, and business data systems. Apply Agentic AI patterns to RAG and AI Workflows, interacting with LLMs by orchestrating various agents together Deploy and manage applications using Azure Functions , Azure AI services , and serverless components . Ensure performance, scalability, and reliability of AI solutions on Azure. Collaborate across teams and participate in agile development processes. Required Skills (Must Have): Strong proficiency in Python programming language. Expertise in Azure OpenAI Service , including foundation model usage, GPT Model family, and integration. Build and deploy AI solutions leveraging Azure AI services (e.g., Cognitive Services, Azure AI Search). Deep understanding of vector databases and hybrid search capabilities built on top of Azure AI Search Deep experience in prompt engineering , including various prompting strategies (few-shot, chain-of-thought, etc.). Hands-on experience and deep expertise in building RAG pipelines with vector databases and tool integrations. Proven experience developing chatbots or virtual assistants using LLMs. Proficiency in at least one LLM application framework (preferably., LangChain ,). In-depth understanding of LLM models , their capabilities, and applications. Good understanding of LLM evaluations , and how to evaluate LLM model outputs. Experience deploying with Azure Function Apps and broader Azure ecosystem . Solid grasp of API integrations and data workflow design . Solid experience building automation workflows and automation solutions for LLM Apps and Products, to support new client onboarding Solid experience with data and content indexing pipelines to setup new knowledge bases” for RAG and LLM solutions Strong problem-solving skills and ability to deliver scalable, efficient code. Excellent communication and team collaboration abilities. Preferred Skills (Good to Have): Good understanding of using AI Agents and Agentic AI Patterns to integrate with LLMs Familiarity with Multi-Agent AI orchestration and agentic workflows . Experience building cloud-native services with serverless architectures . Understanding of NLP techniques and data transformation pipelines . Familiarity with LLMOps concepts and AI model lifecycle. Qualifications : Bachelor’s degree in computer science, Computer Engineering, or a related field. 3+ years of experience in software development. Experience with LLM applications and cloud platforms. Strong understanding of software development methodologies (e.g., Agile).

We are seeking an experienced Data Engineer, skilled in building and managing data orchestration pipelines within cloud-native environments. The ideal candidate will have extensive experience with Kubernetes, Airflow, Python, modern observability tools (Grafana + Prometheus) and Google Cloud Platform (GCP). You will be responsible for designing, developing, and maintaining data pipelines that support NLP and LLM models, ensuring data quality, scalability, and reliability. Key Responsibilities: Design and Develop Data Pipelines: Create, manage, and optimize data collection and processing pipelines using Airflow, Kubernetes (GKE), and GCP to handle large volumes of text-based social media data. Cloud Infrastructure Management: Implement and maintain cloud infrastructure on GCP, ensuring high availability, scalability, and security of data processing environments. Data Integration: Develop robust data integration solutions to aggregate data from various social media platforms and other sources, ensuring data consistency and reliability. NLP and LLM Model Support: Work closely with data scientists and machine learning engineers to support the deployment and maintenance of NLP and LLM models in production. Database Management: Design, manage, and optimize databases for storage and retrieval of large-scale text data, ensuring efficient data access and query performance. Version Control: Utilize Git for version control and collaboration on codebases, ensuring best practices in code management and deployment. Performance Tuning: Monitor and improve the performance of data pipelines, identifying and resolving bottlenecks and inefficiencies. Documentation: Maintain comprehensive documentation for all data engineering processes, ensuring transparency and knowledge sharing within the team. Collaboration: Work collaboratively with cross-functional teams, including data scientists, product managers, and other stakeholders, to understand data requirements and deliver solutions that meet business needs. Requirements: Airflow on GKE Production Experience DAG authoring, Helm/Terraform cluster provisioning, autoscaling (KEDA/HPA/GKE Autopilot), and CI/CD of DAGs. Observability & Monitoring Vision Hands-on dashboarding in Grafana , metrics via Prometheus/Cloud Monitoring, and definition of SLA/SLOs for pipelines. Python Expertise Advanced Python for data processing, custom Airflow operators/hooks/sensors, and familiarity with Airflow 2.x. GCP Core Services Daily use of BigQuery, Cloud Storage, Pub/Sub, Secret Manager, IAM/Workload Identity, VPC-SC; infrastructure as code with Terraform. Database & SQL Skills Proficiency with relational databases (PostgreSQL) Git & DevOps Practices Branching strategies, code reviews, automated testing, and GitOps-style deployments. Preferred / Bonus: Prior experience supporting large-scale NLP or LLM workloads. Familiarity with social-media APIs (Twitter/X, Reddit, TikTok, Meta). GCP Professional Data Engineer or Cloud DevOps Engineer certification.

About this role: Wells Fargo is seeking a Senior Software Engineer In this role, you will: Lead moderately complex initiatives and deliverables within technical domain environments Contribute to large scale planning of strategies Design, code, test, debug, and document for projects and programs associated with technology domain, including upgrades and deployments Review moderately complex technical challenges that require an in-depth evaluation of technologies and procedures Resolve moderately complex issues and lead a team to meet existing client needs or potential new clients' needs while leveraging solid understanding of the function, policies, procedures, or compliance requirements Collaborate and consult with peers, colleagues, and mid-level managers to resolve technical challenges and achieve goals Lead projects and act as an escalation point, provide guidance and direction to less experienced staff Required Qualifications: 4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: 4 years of strong hands-on experience in full stack development using .NET MVC core, React/Angular JS, JQuery and Javascript Hands on experience in developing and using RESTful Application Program Interface (API) Hands on experience in working in private cloud environment (PCF/OCP) and/or public cloud environment (GCP or Azure) Experience in Behavioral Driven Development (BDD) & Domain Driven Development (DDD). Excellent technical design documentation and verbal communication skills Experience with Database Performance Tuning, Scaling, Security, Resiliency Best Practices Hands on experience in delivering high value projects in Agile (SCRUM) methodology using preferably JIRA tool. Act as a key participant in developing standards and companywide best practices for engineering complex and large-scale technology solutions for technology engineering disciplines Act as senior member of the team and work closely with various business stakeholders to understand requirements, define and develop appropriate solutions Unit Testing (NUnit preferred)/ BDD - Scripting & Automated Testing, Continuous Integration and deployment (Jenkins) Good business communication skills in English System Knowledge & Analysis Problem solving & critical thinking Job Expectations : Certification in Google/Azure Cloud Proficient in technologies such as Kafka, Real time data processing and Business Intelligence tools Experience with GenAI tools, including an in-depth exploration of various LLM models, efficient utilization techniques Experience in Banking Domain

Role & responsibilities Define and drive the technical vision and strategic roadmap for Data APIs and related platform capabilities. Work closely with product management and stakeholders to translate requirements into scalable solutions. Lead initiatives around AI/ML integration, ensuring alignment with business goals and technical feasibility. Champion best practices in API design, performance, security, and maintainability. Manage project timelines and deliverables, ensuring on-time and high-quality outcomes. Provide mentorship and technical guidance to developers across the team. Design, develop, and maintain RESTful APIs using Python with Flask or Django frameworks. Develop backend services that support data ingestion, geospatial analysis, and real-time data access. Write efficient, optimized SQL queries across PostgreSQL, MS SQL, and MySQL databases. Implement secure authentication and authorization mechanisms (SSO, OAuth2). Integrate and operationalize AI/ML models within backend systems. Troubleshoot and resolve complex issues in a production environment. Lead code reviews and enforce clean, scalable code practices. Provide hands-on mentorship and technical guidance to mid-level and junior developers. Contribute to and improve CI/CD pipelines and development workflows. Debug and resolve complex technical issues and guide the team in best practices. Preferred candidate profile 5+ years of professional experience in backend/API development with Python. 3+ years in a technical leadership or lead developer capacity. Strong experience with Flask, Django, or similar Python web frameworks. Solid expertise in RESTful API design, development, and maintenance. Knowledge in Large language models and integrating with in the application Fine tuning LLM models Understanding of Agentic AI and agent development Advanced SQL proficiency and experience working with PostgreSQL, MySQL, or MS SQL. Familiarity with Git, CI/CD pipelines, and collaborative development workflows. Understanding of SSO/OAuth protocols and security best practices in web applications. Experience in defining and delivering a technical roadmap and working in Agile/Scrum teams. Proven ability to lead teams, mentor developers, and manage priorities in a cross-functional environment. Excellent communication skills and ability to work across technical and non-technical teams. Good to Have: Hands-on experience with AI/ML integration in applications or data pipelines. Familiarity with PySpark, SparkSQL, and platforms like Databricks. Knowledge of the Data Analytics and geospatial domains. Exposure to Linux administration and DevOps tools. Understanding of ReactJS or similar frontend libraries (for full-stack awareness). Passion for innovation and continuous learning.

Location: Remote / Pan India , Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune, Remote Notice Period: Immediate iSource Services is hiring for one of their client for the position of AI/ML Engineer. About the Role - We are looking for a highly skilled ML Engineer with experience in cutting-edge design patterns and AI-powered applications. The ideal candidate will have a deep understanding of agentic design patterns, multi-modal RAG Systems, and practical product development experience. Design and implement Agentic Design Patterns, such as ReAct and ReWoo, to enhance the functionality and adaptability of AI systems. Utilize LLMCompiler to create efficient and scalable models and leverage LLM as Judge for decision making processes. Develop and optimize Multi-modal RAG systems, integrating diverse data modalities for advanced retrieval-augmented generation. Implement and maintain GraphRAG solutions for enhanced reasoning and contextual information retrieval. Collaborate with cross-functional teams to translate cutting-edge AI research into production-ready solutions. Contribute to the development of scalable and robust AI-powered products. Requirements: Strong knowledge of Agentic Design Patterns (ReAct, ReWoo). Proficiency in LLMCompiler and LLM as Judge methodologies. Experience building Multi-modal RAG and GraphRAG systems. 5+ years of experience in AI/ML development, including practical product development experience. Expertise in Python, machine learning frameworks (e.g., TensorFlow, PyTorch), and large language models (LLMs). Strong problem-solving and analytical skills with a focus on innovation. Preferred Skills: Familiarity with distributed systems and cloud platforms. Experience in data engineering and model optimization. Knowledge of graph databases and advanced information retrieval techniques. ML/AI development, Python Agentic Design Patterns (ReAct, ReWoo). LLMCompiler, LLM as judge. ML models, ML frameworks.

Meet the Team Our Licensing Experience and Operation team, collaborates with multi-functional collaborators to provide and handle the capabilities required for on-premises software, license and documentation setup and delivery, provisioning and device activation. Our service is key to achieving Ciscos Recurring Revenue strategies, handling software and licensing distribution to ALL routes to market. The role also involves extensive cross organization collaboration with internal collaborators such as Business Units, IT Architects and Program Managers. Your Impact You are a motivated and agile self-starter with the ability to drive multiple complex and sometimes ambiguous programs to completion. Proficient in project management tools and methodologies, you are confident in facilitating effective meetings and preparing and communicating project analysis, status updates, challenges, and other key insights that resonate with executive leadership. You thrive in team environments, demonstrating clear and concise communication skills, active listening, and effective questioning techniques to resolve issues. Resourceful and adaptable, you excel at handling or leading project teams of varying sizes and diverse abilities to achieve optimal results, handling interdependencies and leading horizontally across functions. You have experience communicating with senior management to drive alignment among business partners from diverse functions, writing detailed specifications of user requirements, business processes, and procedures for implementing software solutions, and leading projects effectively. With a strong desire to learn and work independently in a fast-paced, high-growth environment, you also collaborate effectively with cross-functional teams of business analysts and developers while maintaining meticulous attention to detail. Minimum Qualifications : 4-7 years of demonstrated experience, including: Experience in Program and Product Management: Demonstrated ability to lead end-to-end programs and products, including defining strategy, planning, execution, and delivery, while ensuring alignment with collaborators, meeting deadlines, and achieving business objectives Experience in AI/Automation Projects: Hands-on experience leading programs or products in the AI or automation domain, with a focus on delivering value-driven solutions Requirements Gathering and Documentation: Strong skills in gathering, analyzing, and writing detailed business requirements and user stories to drive product and project outcomes. Data Analysis Skills: Ability to analyze AI model and project-related data to identify trends, areas of improvement, measure success, and inform decision-making. Strong Communication and Collaboration Skills: Excellent ability to connect with cross-functional teams, technical partners, and leadership, with a focus on clear and concise documentation and presentations. Preferred Qualifications : Knowledge of Emerging Technologies: Familiarity with AI/ML concepts (e.g. Agentic framework, RAG/LLM models), automation tools (e.g., AI Assistants), with the ability to bridge the gap between technical teams and business needs.

Role & responsibilities Strong problem-solving skills Generative AI ( Lang chain, Open AI) Advance level of python and JavaScript Python libraries like Fast API , pytest Git React JS Docker, Kubernetes Basic Linux commands Familiar with Azure/GCP Requirement: -Need some knowledge of genAI - past 1-2 projects -Need to have strong python, they need to know how to deploy the APIs into Kubernetes and have strong hands on docker experience -Manage application on Kubernetes, ensure high scalability and availability. -Experience in typescript (they will be developing extensions written in typescript) -Design develop and deploy scalable python APIs -Once deployed, need to debug that issue in the endpoints. -Knowledge on LLM models.

Dear Candidate, Greetings from IDEXCEL Technologies!! Please find the employment opportunity with I dexcel, Designation: GenAI Engineer Company Name: IDEXCEL technologies, Full Time. Experience: 5+ Years Notice Period: immediate to 20 Days Work Mode: Work From Office( 5 Days in a week) Interview Mode: Only one Round (F2F) Work Locations: Bengaluru, Hyderabad (Yellareddy Guda) Please go through the attachment for job description. Generative AI Engineer Idexcel is seeking a Senior Engineer to join our Enterprise GenAI Engineering Organization and be a key part of the Enterprise GenAI tech team. As a GenAI engineer, you will lead the development cutting-edge generative artificial intelligence solutions using large language models, agentic frameworks, retrieval augmented generation and other innovative technologies. The ideal candidate will have experience in designing, developing, and deploying applications leveraging LLM models and systems, with a strong focus on prompt engineering, RAG implementations, evaluations and agentic frameworks. In this role, you will: Design, develop, deploy GenAI applications using LM's, agent framework and related technologies Collaborate with and/or embed with line of business team teams to create reusable components and frameworks to accelerate the delivery of GenAI solutions Develop and maintain large-scale applications using Java, Python and other relevant technologies (e.g., cloud technologies, containerization, etc) Develop reference services that can be leveraged enterprise-wide such as document parsing, synthetic data generation, summarization and deep research Stay up to date with the latest advancements in GenAI, LLM, agentic frameworks and drive innovation to improve existing systems and develop new ones Troubleshoot and resolve complex technical issues related to applicationsand models Develop GenAI observability solutions to ensure systems are monitored to increase operational efficiency and managed to mitigate risk Resolve coding, testing and escalated platform issues of a technically challenging nature Collaborate with the team to ensure compliance and risk management requirements for supported area are met and work with other stakeholders to implement key risk initiatives Collaborate and influence all levels of professionals including managers Required Qualifications: 5+ years of Specialty Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education 5+ years of experience in software development 5+ years of Python, JavaScript or Java and other relevant technologies 1+ years of Experience with SDLC and Agile tools such as JIRA, GitHub, Jenkins, Confluence etc. Desired Qualifications: 1+ year of GenAI and ML concepts, including Evaluations, Fine Tuning and Prompt engineering Knowledge agentic design patterns Prompt Engineering concepts such as Zero-Shot, Few-shot, self-consistency and chain of thought prompting Note : We are looking for Immediate Joiners and if interested please share your updated Cv following mail ID : blikhith@idexcel.com

AI/ML & Data Science development (7+ years),Python ,GenAI & Agentic AI ,RAG pipelines & Vector Stores (Azure Cognitive Search),Azure AI Services ,LLM Models,SOAP/REST API development,Agile/Lean methodologies