32 Llm Models Jobs

As a Machine Learning Engineer, you will play a key role in developing and enhancing a Telecom Artificial Intelligence Product. This role requires a strong background in machine learning and deep learning, along with extensive experience in implementing advanced algorithms and models to solve complex problems. You will be working on cutting-edge technologies to develop solutions for anomaly detection, forecasting, event correlation, and fraud detection. Your responsibilities will include developing production-ready implementations of proposed solutions using various machine learning and deep learning algorithms. You will test these solutions on live customer data to ensure efficacy and robustness. Additionally, you will research and test novel machine learning approaches for large-scale distributed computing applications. In this role, you will be responsible for implementing and managing the full machine learning operations lifecycle using tools such as Kubeflow, MLflow, AutoML, and Kserve for model deployment. You will develop and deploy machine learning models using PyTorch and TensorFlow to ensure high performance and scalability. Furthermore, you will run and manage PySpark and Kafka on distributed systems with large-scale, non-linear network elements. To excel in this position, you should be proficient in Python programming and experienced with machine learning libraries such as Scikit-Learn and NumPy. Experience in time series analysis, data mining, text mining, and creating data architectures will be beneficial. You should also be able to utilize batch processing and incremental approaches to manage and analyze large datasets. As a Machine Learning Engineer, you will experiment with multiple algorithms, optimizing hyperparameters to identify the best-performing models. You will execute machine learning algorithms in cloud environments, leveraging cloud resources effectively. Continuous feedback gathering, model retraining, and updating will be essential to maintain and improve model performance. Moreover, you should have expertise in network characteristics, transformer architectures, GAN AI techniques, and end-to-end machine learning projects. Experience with leading supervised and unsupervised machine learning methods and familiarity with Python packages like Pandas, Numpy, and DL frameworks like Keras, TensorFlow, PyTorch are required. Knowledge of Big Data tools and environments, as well as MySQL/NoSQL databases, will be advantageous. You will collaborate with cross-functional teams of data scientists, software engineers, and stakeholders to integrate implemented systems into the SaaS platform. Your innovative thinking and creative ideas will contribute to improving the overall platform. Additionally, you will create use cases specific to the domain to solve business problems effectively. Ideally, you should have a Bachelor's degree in Science/IT/Computing or equivalent with at least 4 years of experience in a QA Engineering role. Strong quantitative and applied mathematical skills are essential, along with certification courses in Data Science/ML. In-depth knowledge of statistical techniques, machine learning techniques, and experience with Telecom Product development are preferred. Experience in MLOps is a plus for deploying developed models, and familiarity with scalable SaaS platforms is advantageous for this role.,

You are a highly experienced AI engineer with 5+ years of experience, possessing a strong background in machine learning, proficient programming skills, and a deep understanding of generative models. Your primary role involves applying your expertise to translate research findings into practical solutions that effectively tackle real-world challenges. It is crucial for you to ensure the reliability and ethical usage of generative AI in the applications you develop. In terms of technical requirements, you must exhibit a strong proficiency in Python for data processing and automation. You should have hands-on experience working with generative AI models and integrating them into data workflows. Additionally, familiarity with prompt engineering and LLM models (Opensource and Closesource) is essential. Experience with application development frameworks like LangChain, LangGraph, and working with REST frameworks such as Fast API, Angular, Flask, and Django is highly beneficial. Knowledge of cloud platforms such as AWS, GCP, Azure, and related services is a plus. Moreover, familiarity with containerization and orchestration tools like Docker and Kubernetes would be advantageous. As a Data Analysis & Simulation Professional, your responsibilities include the following key areas: Data Pipeline Development: - Designing and implementing scalable data pipelines using Python to ingest, process, and transform log data from diverse sources. Generative AI Integration: - Collaborating with data scientists to integrate generative AI models into log analysis workflows. - Developing APIs and services to deploy AI models for real-time log analysis and insights generation. Data Monitoring and Maintenance: - Setting up monitoring and alerting systems to ensure the reliability and performance of data pipelines. - Troubleshooting and resolving issues related to data ingestion, processing, and storage. Collaboration and Documentation: - Working closely with cross-functional teams to comprehend requirements and deliver solutions that align with business needs. - Documenting data pipeline architecture, processes, and best practices for future reference and knowledge sharing. Evaluation and Testing: - Conducting thorough testing and validation of generative models. Research and Innovation: - Staying updated with the latest advancements in generative AI and exploring innovative techniques to enhance model capabilities. - Experimenting with different architectures and approaches to drive innovation. Furthermore, having experience with Snowflake utilization would be considered an asset: - Designing and optimizing data storage and retrieval strategies using Snowflake. - Implementing data modeling, partitioning, and indexing strategies to improve query performance.,

Company Description DevAssure is a game-changing AI powered Platform designed to help software development and QA teams expedite their shift-left strategy. The platform enables teams to develop, generate functional test cases, and automate them 10x faster in parallel, resulting in a faster feedback loop. Developers and testers can execute tests and assess impact in minutes, eliminating the need for various tools and libraries for validation. Role Description This is a full-time hybrid AI Engineer Internship role at DevAssure located in Chennai with the flexibility for some remote work. The AI Engineer Intern build AI-powered applications and Retrieval-Augmented Generation (RAG) apps using LLM models. Youll work on integrating AI into real-world applications, optimising model performance, and enhancing user experiences. Ideal for those passionate about AI, NLP, and building innovative solutions. Qualifications Pursuing a degree in Computer Science, Artificial Intelligence, or related field Experience in building AI agents or RAG Applications Strong background in Computer Science Knowledge of Software Development and Natural Language Processing (NLP) Excellent problem-solving skills Ability to work independently and in a team Previous internship or project experience in AI or related field is a plus Show more Show less

As an Applications Development Senior Programmer Analyst at Citi, you will be part of the OTC derivatives global technology team for Trade Confirmations. Working alongside a team of passionate engineers, you will be responsible for designing, developing, and maintaining scalable software solutions to address complex business challenges. Your role will involve driving modern engineering practices and technology transformation within the team, ensuring the delivery of high-quality software solutions that adhere to industry standards. Your key responsibilities will include software development and system design, where you will design robust applications, implement trunk-based development practices for continuous integration, and ensure clean and maintainable code following SOLID principles. You will actively contribute to hands-on coding, code reviews, and refactoring to maintain high engineering standards. In addition to software development, you will drive engineering excellence and best practices by advocating for modern ways of working such as Agile, DevOps, and CI/CD. You will also collaborate with cross-functional teams to design scalable systems, enforce secure coding practices, and conduct code reviews to ensure adherence to best practices. To excel in this role, you must have strong hands-on experience in coding, particularly in Java, along with proficiency in programming, data structures, algorithms, and SQL. Experience with RESTful APIs, system design, microservices architecture, and modern cloud-native technologies will be beneficial. Additionally, strong problem-solving skills, the ability to work in fast-paced environments, and excellent communication and collaboration skills are essential. This position requires a Bachelor's degree or equivalent experience in a related field. If you are someone who enjoys solving engineering challenges, has a passion for building high-quality solutions, and can effectively manage multiple priorities, then this role is ideal for you. Citi is committed to fostering a diverse and inclusive workplace where all individuals are valued and respected. As an equal opportunity employer, Citi encourages qualified applicants to apply for career opportunities and provides reasonable accommodations for individuals with disabilities during the application process. Join us in our mission to serve as a trusted partner to our clients and make a positive impact on the communities we serve.,

About Pro-Manage Pro-Manage is a pioneering tech- and AI-based Marketing-as-a-Service platform developed to serve multi-location enterprise clients increase, manage and measure digital engagement opportunities with prospects and customers, leveraging several valuable business and technology partnerships with global leaders such as Google GMB/Chat, Microsoft Bing, Meta WhatsApp/Instagram, Knowlarity Cloud telephony and others. Pro-Manage is a powerful and sophisticated marketing SaaS platform that has attracted highly regarded brands as its clients: Indian Oil, Shriram Finance, Apollo Pharmacy, Naturals, Sterling Resorts, Muthoot Finance, Aadhaar Housing Finance, Shriram Transport Finance, City Union Bank, O2 Spa, Page 3 Salons, Urban Nomads, CADD Centre and more. ProManage is developed using advanced technologies, design thinking, continuous discovery, agile development and product management methodologies. The cross-functional Pro-Manage team uses integrated customer-centric product-led marketing and growth paradigms designed to attract and retain targeted customers, maximizing life-time value and minimizing customer acquisition efforts and costs. Pro-Manage is developed and offered by Sulekha, one of Indias largest digital business and consumer brands that has transformed local services ecosystem through a AI-based need fulfillment and monetization platform that generates millions of qualified, parameterized service requests to local service SMBs every day in 40 cities. Pro-Manage aspires to be the dominant, industry-leading and technologically the most sophisticated marketing SaaS platform in India with 500+ enterprise customers in the next two years. Pro-Manage and Sulekha have three of the most well-regarded firms as its investors: Norwest Venture Partners (Palo Alto, US), Mitsui (Tokyo), and GIC (sovereign wealth fund of Singapore). Roles & responsibilities: Design, Architect, and Develop software solutions based on suitable design patterns. Adopt new and emerging technologies to provide solutions. Collaborate with cross-functional teams to understand business requirements and translate them into machine learning problems. Work alongside data scientists and software engineers to integrate machine learning models into production systems. Identify technical issues and provide resolution. Design, develop, and implement machine learning models for various business applications, including predictive analytics, recommendation systems, natural language processing, and computer vision. Stay up to date with the latest advancements in AI and machine learning techniques. Ensure that machine learning pipelines and systems are scalable, efficient, and robust. Excellent communication and interpersonal skills. Qualifications BE / Masters in computer science or any degree. Critical Skills Proven experience as a Machine Learning Engineer, AI Engineer, or similar role (typically 2+ years). Experience writing software in Python, Scala, R, or similar. Familiarity with cloud platforms like AWS, Google Cloud or Microsoft Azure for deploying models at scale. Solid understanding of machine learning algorithms (supervised and unsupervised learning, deep learning, reinforcement learning, etc.). Experience with data structures, algorithms, and software design. Experience in using any LLM models in real-time projects. Proven ability to work as part of cross-functional delivery teams in an Agile delivery environment. Work in a dynamic, collaborative, non-hierarchical environment where your talent is valued over your job title or years of experience. Strong problem-solving skills with the ability to think critically and creatively. Ability to break down complex business problems into machine learning solutions. Desired skills Experience with machine learning libraries and frameworks. Expertise in data manipulation and analysis. Experience with big data technologies. STS (Speech to Text & Text to Speech) #ASR (Automated Speech Recognition) Engine Exposure. Great OOPS skills, including strong design patterns knowledge. Familiarity with relational databases, NoSQL. Out-of-the-box thinking, and in-depth problem-solving. Personal skills Result- and outcome-orientation High degree of enthusiasm, dynamism, and drive to succeed Capacity for hard work and perseverance Maturity to collaborate with peers to achieve overall success Capability to nurture and motivate direct reports to high success Show more Show less

Mandatory Skills: 1. 5+ Years of experience in the design & development of state-of-the-art language models; utilize off-the-shelf LLM services, such as Azure OpenAI, to integrate LLM capabilities into applications. 2. Deep understanding of language models and a strong proficiency in designing and implementing RAG-based workflows to enhance content generation and information retrieval. 3. Experience in building, customizing and fine-tuning LLMs via OpenAI studio extended through Azure OpenAI cognitive services for rapid PoCs 4. Proven track record of successfully deploying and optimizing LLM models in the cloud (AWS, Azure, or GCP) for inference in production environments and proven ability to optimize LLM models for inference speed, memory efficiency, and resource utilization. 5. Apply prompt engineering techniques to design refined and contextually relevant prompts for language models. 6. Monitor and analyze the performance of LLMs by experimenting with various prompts, evaluating results, and refining strategies accordingly. 7. Building customizable, conversable AI agents for complex tasks using CrewAI and LangGraph to enhance Gen AI solutions 8. Proficient in MCP (Model Context Protocol) for optimizing context-aware AI model performance and integration is a plus Location - Mumbai , Pune, Bangalore, Chennai and Noida

About the role: Support the editorial teams in formatting and updating the content in accordance with the specified instructions. Verify own work for accuracy and completeness and ensure that the information is properly presented and organized. Participate in the update process for maintained resources. Participate in the bulk changes to the existing content. Document comparison and discrepancies reporting. Verify links and correct any issues. Develop understanding of the roles and responsibilities of each team member and how each role impacts production. The evaluation of AI and LLM models as needed, including experimentation, prompting, and evaluating results. About You: bachelors degree in arts or related field (preferred) 0-1 years of total experience. Content Management Systems or as Content Editor (more preferred). Strong understanding of publishing practices Excellent communication skills both written and verbal Ability to meet tight deadlines under pressure Ability to think critically and creatively when solving problems Ability to work we'll in a fast-paced environment Experience with using legal technology, AI, Generative AI.

We are looking for a Mid-Level LLM Application Developer with 35 years of experience in software development, who is passionate about building intelligent applications using Azure OpenAI, Python, and LLM frameworks. This is a full-time role focused on designing, developing, and deploying scalable LLM-powered solutions, including chatbots, knowledge assistants, and RAG-based systems. Youll be working closely with cross-functional teams to bring innovative AI solutions to life, leveraging the latest in generative AI and agentic technologies. Job Description: Responsibilities : Design and develop LLM-powered applications using Python and Azure OpenAI services. 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 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 : Bachelors 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 Show more Show less

Job description At Apple, code and functional quality is always at the forefront and one of the key measures of Success. As part of the Applied Machine Learning team, you will be responsible for conceptualising, designing, implementing and running cutting edge solutions, leveraging best suited ML, AI and NLP techniques and contributing to building reusable platforms. Our group has a broad impact, so you can expect to be cross functional and see new wondrous and challenging use cases where modern day technologies can help solve real world problems. We are looking for someone who has a proven track record in crafting and developing high quality enterprise software solutions. This position requires a hands on person, who is passionate about understanding the details of a problem, can think about different solutions and can advise a team by example when the time to implement comes. Were looking for a self-starting, upbeat individual with excellent written and communication skills, hardworking person who is a great teammate, but not afraid to question assumptions and take initiative. If you feel this is you, wed love to hear from you. Minimum Qualifications Minimum Qualifications Bachelor s in Computer Science or equivalent experience 7+ years of experience in building and managing big-data platforms and programming experience in Java Working experience with search and information retrieval (Lucene, Solr, Elasticsearch, Milvus, Vespa) BS in Computer Science or equivalent Preferred Qualifications Experience scaling distributed ML and AI systems to handle millions of concurrent requests is desirable Experience with ML applications in cross domain contexts is a plus Experience with public cloud (AWS/GCP) Good understanding of AI/ML stack - GPUs, MLFlow, LLM models is a plus. Understanding of data modeling, data warehousing, and ETL concepts is a plus Have created frameworks to deploy platforms in AWS/Azure/GCP. Ability to lead and mentor junior team members, provide technical guidance, and collaborate effectively with multi-functional teams to deliver complex projects. Commitment to staying updated with the latest advancements in machine learning and data science, and willingness to learn new tools and technologies as needed.

The ideal candidate for this position should have previous experience in building data science/algorithms based products, which would be a significant advantage. Experience in handling healthcare data is also desired. An educational qualification of Bachelors/Masters in computer science/Data Science or related subjects from a reputable institution is required. With a typical experience of 7-9 years in the industry, the candidate should have a strong background in developing data science models and solutions. The ability to quickly adapt to new programming languages, technologies, and frameworks is essential. A deep understanding of data structures and algorithms is necessary. The candidate should also have a proven track record of implementing end-to-end data science modeling projects and providing guidance and thought leadership to the team. Experience in a consulting environment with a hands-on attitude is preferred. As a Data Science Lead, the primary responsibility will be to lead a team of analysts, data scientists, and engineers to deliver end-to-end solutions for pharmaceutical clients. The candidate is expected to participate in client proposal discussions with senior stakeholders and provide technical thought leadership. Expertise in all phases of model development, including exploratory data analysis, hypothesis testing, feature creation, dimension reduction, model training, selection, validation, and deployment, is required. A deep understanding of statistical and machine learning methods such as logistic regression, SVM, decision tree, random forest, neural network, and regression is essential. Mathematical knowledge of correlation/causation, classification, recommenders, probability, stochastic processes, NLP, and their practical implementation to solve business problems is necessary. The candidate should also be able to implement ML models in an optimized and sustainable framework and gain business understanding in the healthcare domain to develop relevant analytics use cases. In terms of technical skills, the candidate should have expert-level proficiency in programming languages like Python/SQL, along with working knowledge of relational SQL and NoSQL databases such as Postgres and Redshift. Extensive knowledge of predictive and machine learning models, NLP techniques, deep learning, and unsupervised learning is required. Familiarity with data structures, pre-processing, feature engineering, sampling techniques, and statistical analysis is important. Exposure to open-source tools, cloud platforms like AWS and Azure, and AI tools like LLM models and visualization tools like Tableau and PowerBI is preferred. If you do not meet every job requirement, the company encourages candidates to apply anyway, as they are dedicated to building a diverse, inclusive, and authentic workplace. Your excitement for the role and potential fit may make you the right candidate for this position or others within the company.,

Sundew is a leading digital transformation company with a 17-year legacy of excellence that helps businesses leverage data-driven insights to drive innovation and optimize operations. We are seeking a talented Data Engineer with expertise in Robotic Process Automation (RPA) and Artificial Intelligence/Machine Learning (AI/ML) to join our dynamic team. As a Data Engineer with RPA and AI/ML expertise, you will play a crucial role in designing, implementing, and maintaining data pipelines, workflows, and automation solutions. Your responsibilities will include developing and fine-tuning LLM models with expertise in RAG (Retrieval-Augmented Generation), content extraction, and familiarity with the concept of local LLMs. Additionally, you will collaborate closely with our Data Engineering team to innovate and optimize LLM models and work with cross-functional teams to integrate RPA infrastructure, enabling clients to automate existing processes. Role & Responsibilities - Develop and optimize LLM models using state-of-the-art techniques, focusing on RAG (Retrieval-Augmented Generation). - Implement content extraction methods to enhance the accuracy and relevance of generated responses. - Collaborate with cross-functional teams to identify and address LLM development and deployment challenges. - Stay updated with the latest advancements in natural language processing (NLP) and machine learning research. - Provide technical guidance and mentorship to junior team members. - Contribute to documenting and disseminating best practices in LLM development and deployment. - Implement RPA solutions to automate repetitive tasks and improve operational efficiency. - Collaborate with data scientists and business analysts to understand data requirements and translate them into technical solutions. - Monitor performance, troubleshoot issues, and optimize data workflows for scalability and reliability. - Stay up-to-date with the latest trends and technologies in data engineering, RPA, and AI/ML. Required Skill Sets - Bachelor's or higher degree in Computer Science, Engineering, or a related field. - Proven experience in developing and fine-tuning LLM models, preferably with a focus on RAG. - Hands-on experience with RPA tools such as UiPath, Automation Anywhere, Blue Prism, Power Automate. - Strong proficiency in Python programming and familiarity with relevant libraries/frameworks such as TensorFlow, PyTorch, scikit-learn. - Solid understanding of natural language processing (NLP) fundamentals and machine learning principles. - Experience with content extraction techniques such as Named Entity Recognition (NER), text summarization, and information retrieval. - Familiarity with the concept of local LLMs and their applications in specific domains or languages. - Excellent problem-solving skills and the ability to work effectively in a collaborative team environment. - Strong communication skills with the ability to explain complex technical concepts to non-technical stakeholders. Preferred Qualifications - Experience with cloud platforms such as AWS, Azure, or Google Cloud. - Prior working knowledge in implementing RPA and AI/ML Methods. - Certification in RPA or AI/ML technologies. - Contributions to open-source projects related to natural language processing or machine learning. - Knowledge of big data technologies (e.g., Hadoop, Spark, Kafka). How To Apply Interested candidates should submit their resume and a cover letter detailing their relevant experience and explaining how they meet the specified requirements. Sundew is an equal opportunity employer. We encourage candidates of all backgrounds to apply.,

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).