33 Genai Technologies Jobs - Page 2

At PwC, the focus is on leveraging data to drive insights and make informed business decisions in the field of data and analytics. Utilizing advanced analytics techniques is key to helping clients optimize their operations and achieve strategic goals. As a member of the data analysis team at PwC, you will be tasked with utilizing advanced analytical techniques to extract insights from large datasets and facilitate data-driven decision-making. Your role will involve leveraging skills in data manipulation, visualization, and statistical modeling to assist clients in solving complex business problems. PwC US - Acceleration Center is currently looking for a highly skilled and experienced GenAI Data Scientist to join the team at the Senior Associate level. In this role, you will be instrumental in developing and implementing machine learning models and algorithms for GenAI projects. The ideal candidate should possess a strong background in data science, particularly focusing on GenAI technologies, and have a solid understanding of statistical analysis, machine learning, data visualization, and application programming. As a candidate with 4+ years of hands-on experience, your responsibilities will include collaborating with cross-functional teams to understand business requirements and identify opportunities for applying GenAI technologies, developing and implementing machine learning models and algorithms for GenAI projects, performing data cleaning, preprocessing, and feature engineering, collaborating with data engineers for efficient data processing and integration into machine learning pipelines, validating and evaluating model performance, developing and deploying production-ready machine learning applications and solutions, utilizing object-oriented programming skills, employing Kubernetes for container orchestration and deployment, designing and building chatbots using GenAI technologies, communicating findings and insights to stakeholders through data visualizations, reports, and presentations, and staying up-to-date with the latest advancements in GenAI technologies. Requirements for this role include 3-5 years of relevant technical/technology experience with a focus on GenAI projects, strong programming skills in languages like Python, R, or Scala, proficiency in machine learning libraries and frameworks such as TensorFlow, PyTorch, or scikit-learn, experience with data preprocessing, feature engineering, and data wrangling techniques, a solid understanding of statistical analysis, hypothesis testing, and experimental design, familiarity with cloud computing platforms like AWS, Azure, or Google Cloud, knowledge of data visualization tools and techniques, strong problem-solving and analytical skills, excellent communication and collaboration abilities, and the ability to work in a fast-paced and dynamic environment. Preferred qualifications include experience with object-oriented programming languages like Java, C++, or C#, developing and deploying machine learning applications in production environments, understanding of data privacy and compliance regulations, and relevant certifications in data science or GenAI technologies. Nice-to-have skills encompass experience with Azure AI Search, Azure Doc Intelligence, Azure OpenAI, AWS Textract, AWS Open Search, AWS Bedrock, familiarity with LLM backed agent frameworks such as Autogen, Langchain, Semantic Kernel, etc., and experience in chatbot design and development. Candidates with a professional and educational background in any graduate / BE / B.Tech / MCA / M.Sc / M.E / M.Tech / Masters Degree / MBA are encouraged to apply for this position.,

As a Senior Data Scientist specializing in Generative AI at our organization, you will play a crucial role in driving technical innovation and delivering impactful results within a team setting. You will be responsible for working with financial data, applying NLP techniques, refining prompt engineering strategies for LLMs, collaborating with stakeholders, developing and testing Python code for GenAI solutions, integrating with vector databases, monitoring MLOps pipelines, researching emerging GenAI technologies, and troubleshooting and debugging GenAI models in production. To excel in this role, you must possess a Master's degree in Computer Science, Data Science, or a related field, with a Ph.D. being preferred. You should have 8-12 years of experience in a Data Scientist or equivalent role, with at least 4 years of specialized experience in Generative AI. Additionally, you should have demonstrable experience in the full lifecycle of real-world, production-level GenAI project implementation. You must stay up-to-date with the rapidly evolving GenAI landscape, continuously learn and explore new tools and techniques, and effectively communicate technical concepts to non-technical stakeholders. Proficiency in Python, along with expertise in key libraries for AI/ML and GenAI applications such as TensorFlow, PyTorch, and Transformers, is mandatory. Experience in designing and implementing scalable API architectures for GenAI applications, along with a deep understanding of Machine Learning concepts, is essential. Preferred qualifications for this role include experience with MLOps, cloud computing platforms, conversational AI solutions, and contributions to research and publications in the field of Generative AI. As a Senior Data Scientist, you will be expected to demonstrate strong technical leadership and mentorship skills, as well as excellent communication and collaboration abilities. This job description provides a comprehensive overview of the responsibilities and qualifications required for the Senior Data Scientist position. If you are a highly motivated individual with a strong passion for Generative AI and possess the necessary technical skills and experience, we encourage you to apply for this role.,

Are you excited about contributing to the development of cutting-edge AI systems that are set to revolutionize cloud infrastructure operations At Oracle Cloud Infrastructure (OCI), we are dedicated to reimagining operations for the enterprise cloud, and we are currently seeking ML Engineers to spearhead this transformation. OCI stands out as a hyperscale cloud platform where operations play a crucial role in ensuring customer success. To ensure the scalability and competitiveness of OCI, there is a pressing need to automate incident detection, diagnosis, and resolution by pushing the boundaries of AI and GenAI in cloud operations. Join our team to collaborate on building intelligent AI solutions that proactively manage cloud environments, enhance operational excellence, and provide customers with a world-class experience. If you are enthusiastic about tackling complex technical challenges and influencing the evolution of autonomous cloud technology, this opportunity is perfect for you. Responsibilities will include leading the development of AI agents tailored for cloud operations, designing and implementing tools and frameworks to support AI agent development, assessing agent performance across operational scenarios, innovating meta prompting techniques, integrating advanced LLM technologies into OCI systems, collaborating across teams, engaging with customers to validate solutions, and providing technical leadership and mentorship. The ideal candidate should have a minimum of 5 years of overall experience with at least 2 years in machine learning engineering, expertise in large language models, transformers, and GenAI technologies, experience in prompt engineering, the ability to optimize AI agent performance in real-world environments, proficiency in Python and ML frameworks like PyTorch or TensorFlow, knowledge of MLOps practices, problem-solving skills, strong communication abilities, and a degree in Computer Science, Machine Learning, or a related field. Preferred qualifications include experience in building AI assistants for enterprise applications, familiarity with multi-agent systems, reinforcement learning, or autonomous decision-making frameworks, knowledge of LLM fine-tuning, RAG, or vector database integration, a background in cloud operations or infrastructure monitoring, exposure to Oracle Cloud Infrastructure or other major cloud platforms, and contributions to open-source ML projects or publications in ML, NLP, or AI agent systems. By joining our team, you will have the opportunity to work on designing AI Agents and the infrastructure supporting them, shape the future of AI-powered cloud operations at Oracle, engage with cutting-edge AI technologies to solve real-world challenges, collaborate with a talented team, and enjoy competitive compensation, benefits, and career growth opportunities.,

Are you excited about building cutting-edge AI systems that revolutionize how cloud infrastructure is run At Oracle Cloud Infrastructure (OCI), we're reimagining operations for the enterprise cloud, and we're looking for ML Engineers to drive this transformation. OCI is a hyperscale cloud platform where operations are core to customer success. For OCI to scale and remain competitive, we need to automate incident detection, diagnosis, and resolutionpushing the limits of AI and GenAI in cloud operations. Join us to build intelligent AI solutions that proactively manage cloud environments, boost operational excellence, and deliver a world-class customer experience. If you're passionate about solving deep technical challenges and shaping the next generation of autonomous cloud, this is your moment. Lead AI Agent Development: Drive the end-to-end design and development of AI agents tailored for cloud operations, ensuring scalability, reliability, and alignment with customer needs. Architect and implement tools and frameworks that accelerate AI agent development, experimentation, deployment, and monitoring. Design and execute robust methodologies to evaluate agent performance, safety, and accuracy across diverse operational scenarios. Develop advanced meta prompting techniques to dynamically adapt prompts and maximize LLM utility in varied, real-time operational contexts. Integrate cutting-edge LLM technologies into OCI systems, leveraging fine-tuning, retrieval-augmented generation (RAG), and other advanced techniques. Partner with product, UX, and engineering teams to align technical solutions with business priorities and user experience. Collaborate directly with enterprise customers to gather requirements, validate solutions, and ensure agent effectiveness in production environments. Mentor engineers, establish best practices in AI agent engineering, and contribute to the technical vision and roadmaps. Required Qualifications: - Overall 5+ with 2+ years of experience in machine learning engineering, with hands-on experience in building AI agents and production-grade ML systems. - Proven expertise in large language models (LLMs), transformers, and GenAI technologies. - Demonstrated experience in prompt engineering and developing prompting strategies for LLM-based applications. - Demonstrated ability to evaluate and optimize AI agent performance in real-world, mission-critical environments. - Solid programming skills in Python and practical experience with ML frameworks such as PyTorch or TensorFlow. - Deep understanding of MLOps practices, including model deployment, scalability, observability, and lifecycle management. - Excellent problem-solving skills with a bias for action and execution. - Ability to convince technical leaders and executives. - Strong written and verbal communication skills, including direct collaboration with enterprise customers and cross-org teams. - Bachelor's or Master's degree in Computer Science, Machine Learning, or a related technical field. Preferred Qualifications: - Experience building AI assistants or conversational agents for enterprise applications. - Experience working with multi-agent systems, reinforcement learning, or autonomous decision-making frameworks. - Familiarity with LLM fine-tuning, RAG (Retrieval-Augmented Generation), or vector database integration. - Background in cloud operations, DevOps, or infrastructure monitoring domains. - Familiarity with Oracle Cloud Infrastructure or other major cloud platforms. - Contributions to open-source ML projects and/or Publications or patents in ML, NLP, or AI agent systems. Why Join Us - Be at the forefront of designing AI Agents and the infrastructure that powers them. - Shape the future of AI-powered cloud operations at Oracle. - Work with cutting-edge AI technologies and solve impactful real-world problems. - Collaborate with a world-class team of engineers, researchers, and product leaders. - Competitive compensation, benefits, and career growth opportunities.,

A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. As part of our Analytics and Insights Consumption team, you'll analyze data to drive useful insights for clients to address core business issues or to drive strategic outcomes. You'll use visualization, statistical and analytics models, AI/ML techniques, Modelops and other techniques to develop these insights. Candidates with 8+ years of hands-on experience are preferred for this role. Lead and manage a team of software engineers in developing, implementing, and maintaining advanced software solutions for GenAI projects. Engage with senior leadership and cross-functional teams to gather business requirements, identify opportunities for technological enhancements, and ensure alignment with organizational goals. Design and implement sophisticated event-driven architectures to support real-time data processing and analysis. Oversee the use of containerization technologies such as Kubernetes to promote efficient deployment and scalability of software applications. Supervise the development and management of extensive data lakes, ensuring effective storage and handling of large volumes of structured and unstructured data. Champion the use of Python as the primary programming language, setting high standards for software development within the team. Facilitate close collaboration between software engineers, data scientists, data engineers, and DevOps teams to ensure seamless integration and deployment of GenAI models. Maintain a cutting-edge knowledge base in GenAI technologies to drive innovation and enhance software engineering processes continually. Translate complex business needs into robust technical solutions, contributing to strategic decision-making processes. Establish and document software engineering processes, methodologies, and best practices, promoting a culture of excellence. Ensure continuous professional development of the team by maintaining and acquiring new solution architecture certificates and adhering to industry best practices.,

MongoDB Professional Services (PS) works with customers of all shapes and sizes, in all verticals, from tier-1 banks to small web startups, on a variety of exciting use cases. This role solves technically sophisticated problems, gains incredible cross-stack experience, works with top-notch people in the business, networks with industry leaders, and sees new places all in a days work! MongoDB PS exists to support the development of our customers vision, accelerate customers time to value, and drive a multitude of customer adoption scenarios from building new solutions to modernizing legacy applications or migrating to cloud. Our consulting solutions ensure that organizations get the best out of MongoDB. Act as the lead technical software developer in a small Agile team delivering solutions onsite for customers focused on migrating one of the customers legacy relational database based Java applications to a more modern cloud-based architecture running on MongoDB, leveraging the latest GenAI tools and approaches to accelerate this process. During each project, successful candidates will be required to innovate on potential new GenAI-based solutions for specific challenges in addition to applying existing playbooks and tooling for migration. This role can be based out of our Gurugram office. Position Expectations Stay at the forefront of the industry by staying abreast of the latest GenAI advancements and leveraging cutting-edge developments to fulfill migration projects. Innovate new development processes, technologies, and project approaches as they evolve, especially from emerging GenAI capabilities. Participates as the lead software developer on small Agile teams, delivering software-based solutions for migrating and modernizing customer legacy applications to MongoDB. Expand migration playbooks where applicable and invigorate the team to be prepared to innovate, filling in gaps with creative solutions to solve challenges on each specific project, using experience to prioritise the best ideas. Actively drive the technical part of sprint grooming, planning, and showcases alongside the project manager, providing ideas, suggestions and guidance to the rest of the team. Provide technical direction to the team and partner with the project manager on projects to drive them to a successful conclusion. This includes managing technical challenges and risks and identifying mitigation strategies. Study the current state of each legacy application, the desired target state outlined by the customer, and drive the technical planning, design and solution to get from source state to target state on each project. Be prepared to change direction on projects, if customer or account team priorities change, and act in a way that brings the rest of the team with you on this direction change. Face-off to lead technical personnel on the customer side to resolve issues and identify solutions. Requirements 10+ years of experience working as a software developer, with 3+ years of experience as a technical lead Strong proficiency in Java Some experience and knowledge of Python or JavaScript/Node.js Strong experience in building applications that interact with relational databases using SQL Some experience of Enterprise Java (J2EE / JavaEE / Spring) application architectures History of delivering high-cadence modern applications with applied Agile methodologies, test-first development approaches, adopting CI/CD pipelines and using Git version control Proven experience in leading software/application development projects Able to provide technical direction and authority to the whole delivery team (to developers, the project manager and other customer and executive stakeholders) Strong written, verbal and presentation skills when collaborating with team members and external stakeholders within the wider MongoDB organization and the customers organization Strong strategic thinking capabilities to understand and align technical work with business goals Ability to travel and work on customer sites for a number of continuous weeks Nice-to-have skills Working knowledge of microservices architectures and Domain-Driven Design approaches Some experience and knowledge of ORMs like Hibernate or JPA Extra bonus skills (if missing, we will provide rapid onboarding enablement on these): Some experience in nascent GenAI technologies and approaches, such as using OpenAI API with GPT LLMs Practical experience of using MongoDB Successful candidates will engage with customer systems and may be exposed to highly confidential customer data, including but not limited to non-public information. For this reason, and due to the nature of the highly regulated industry in which our customers operate, successful candidates may be subject to enhanced background checks, security screenings, and possible constraints around the trading of securities. Successful candidates will understand these requirements and be willing to participate in enhanced screenings and constraints as required by MongoDB and its customers in connection with this role. To drive the personal growth and business impact of our employees, were committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what its like to work at MongoDB, and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB is an equal opportunities employer.,

Responsibilities: Outcome-Driven Accountability : Embrace and drive a culture of accountability for customer and business outcomes. Develop quality engineering solutions that solve complex problems with valuable outcomes, ensuring high-quality, AI-driven test automations. Technical Leadership and Advocacy : Serve as the quality advocate for products, ensuring high-quality automation coverage, appropriateness, feasibility, and alignment with business and customer goals. Design, develop, and maintain advanced automation frameworks to drive Automation first mindset using advanced techniques including BDD, AI and GenAI technologies to streamline and enhance the testing process. Engineering Craftsmanship : Maintain accountability for the integrity of test design, test automation, their ongoing maintenance and scale, as well as the quality of solutions. Stay hands-on, self-driven, and continuously learn new approaches, tools, techniques, and frameworks. Integrate AI and GenAI tools and techniques into existing testing processes to improve accuracy, efficiency, and coverage of automated tests. Customer-Centric Engineering : Develop lean quality engineering solutions through rapid, inexpensive experimentation to solve customer needs. Engage with customers and product teams before, during, and after delivery to ensure the right solution is delivered at the right time. Incremental and Iterative Delivery : Adopt a mindset that favors action and evidence over extensive planning. Utilize a leaning-forward approach to navigate complexity and uncertainty, delivering lean, supportable, and maintainable solutions. Cross-Functional Collaboration and Integration : Work collaboratively with empowered, cross-functional teams including product management, experience, engineering, and delivery. Integrate diverse perspectives to make well-informed decisions that balance feasibility, viability, usability, and value. Foster a collaborative environment that enhances team synergy and innovation. Advanced Technical Proficiency : Possess basic knowledge of modern quality engineering practices and principles, including Agile methodologies and DevSecOps to deliver daily product deployments using techniques like fully automated in-sprint testing to accept the stories and work products, powered by AI/GenAI, throughout the SDLC lifecycle. Strive to be a role model, leveraging these techniques to optimize solutioning and product delivery. Demonstrate an understanding of the full lifecycle product development, focusing on continuous improvement and learning. Domain Expertise : Quickly acquire domain-specific knowledge relevant to the business or product. Translate business/user needs and UX/UI designs into test automation. Be a valuable, flexible, and dedicated team member, supportive of teammates, and focused on quality and tech debt payoff. Effective Communication and Influence : Exhibit strong communication skills, capable of articulating complex technical concepts clearly and compellingly. Support teammates and product teams through well-structured arguments and trade-offs supported by evidence. Create coherent narratives that align technical solutions with business objectives. Engagement and Collaborative Co-Creation : Engage and collaborate with product engineering teams, including customers as needed. Build and maintain constructive relationships, fostering a culture of co-creation and shared momentum towards achieving product goals. Align diverse perspectives and drive consensus to create feasible solutions. Qualifications: A bachelors degree in computer science, software engineering, or a related discipline. An advanced degree (e.g., MS) is preferred but not required. Experience is the most relevant factor. 5+ years of experience in quality assurance and test automation including coding the test scripts, with at least 1-2 years focused on AI and GenAI technologies. Hands-on experience with automation-first techniques like BDD and test automation tools like TOSCA, Selenium, Gherkin, Functionize, Testim, AccelQ. Experience with AI/GenAI tools and frameworks (e.g., TensorFlow, PyTorch, OpenAI, Python, etc.). Understanding of machine learning algorithms and their application in test automation. Experience with cloud hyper-scalers like Azure, AWS, and GCP. Good understanding of methodologies & tools like, XP, Lean, SAFe, DevSecOps, ADO, GitHub, SonarQube, etc. Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care.

About our group: The GenAI Customer Success Team aim to foster a culture of innovation and collaboration, leveraging the latest advancements in AI research and development to drive success and efficiency across the organization, focusing on the customer aspect, providing trainings and training materials, monitoring the impact and compliance with company policies and standards. The group identifies AI needs and opportunities, providing comprehensive guidance and support throughout the AI lifecycle. About the role - you will: Instrumental in ensuring the successful adoption and utilization of our AI-driven solutions Conduct comprehensive end-user training sessions to facilitate the seamless launch of new products Manage beta testing phases to gather critical feedback on product features and issues Provide ongoing support and guidance to users post-release Develop and deliver engaging training materials and programs for end-users to ensure effective product usage Be working closely with product development teams to identify, document, and address any product issues or enhancements Act as a liaison between the end-users and the technical team, translating technical information into user-friendly language Monitor product performance and user experience post-release, offering proactive support and troubleshooting assistance Collect and analyze user feedback to inform future product developments and improvements Maintain up-to-date knowledge of AI technology trends and best practices to provide expert advice and support to our customers Provide prompt engineering and best practices on the use of the solution to achieve the best results and outcomes About you: Experienced in customer support aspects Experienced in gathering and digesting training materials to create and engaging and informative training session Experienced in knowledge transfer, focusing on the ability to explain complicated concepts according to the relevant audience Experienced in GenAI concepts and prompt engineering Motivated and eager to learn new concepts and skills Knowledge and understanding of GenAI technologies Strong teamwork, communication and interpersonal skills Strong self-learning skills and self-development Your experience includes: Experience and motivation for customer support and technical support Understanding of AI concepts and applications, with the ability to explain complex technical details in simple terms Excellent communication, presentation, and interpersonal skills, with a passion for teaching and empowering others Experience in conducting training sessions, workshops, or webinars Analytical mindset with strong problem-solving abilities and attention to detail Ability to work collaboratively in a fast-paced, ever-evolving environment Fluent in English, with proficiency in additional languages being a plus