34 Open Ai Jobs - Page 2

1+ years of experience in full-stack development, particularly with Node.js and Python, Proficiency in front-end technologies (such as React, Angular, or similar) and back-end development. Familiarity with RESTful APIs is a plus

3+ years of experience in full-stack development, particularly with Node.js and Python, Proficiency in front-end technologies (such as React, Angular, or similar) and back-end development. Familiarity with RESTful APIs/ WhatsApp API is a plus

About this role: Wells Fargo is seeking a Principal Engineer In this role, you will: Act as an advisor to leadership to develop or influence applications, network, information security, database, operating systems, or web technologies for highly complex business and technical needs across multiple groups Lead the strategy and resolution of highly complex and unique challenges requiring in-depth evaluation across multiple areas or the enterprise, delivering solutions that are long-term, large-scale and require vision, creativity, innovation, advanced analytical and inductive thinking Translate advanced technology experience, an in-depth knowledge of the organizations tactical and strategic business objectives, the enterprise technological environment, the organization structure, and strategic technological opportunities and requirements into technical engineering solutions Provide vision, direction and expertise to leadership on implementing innovative and significant business solutions Maintain knowledge of industry best practices and new technologies and recommends innovations that enhance operations or provide a competitive advantage to the organization Strategically engage with all levels of professionals and managers across the enterprise and serve as an expert advisor to leadership Required Qualifications: 7+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: Bachelors or masters degree in computer science, artificial intelligence or a related field Design, develop, and deploy AI applications using LM's , agent framework, and other related technologies Collaborate with enterprise teams to integrate LLM models with the existing products and systems Develop and maintain large scale application is using them Java, Python, OpenShift containers, and other relevant technologies Strongly expertise in Java, Python, OpenShift containers, and other relevant technologies Strong understanding of AI and ML concepts, including deep learning, natural language processing and computer vision Excellent problem-solving skills come up with the ability to troubleshoot and resolve complex technical issues Strong collaboration and communication skills come with the ability to work effectively with cross functional teams Job Expectations: Location: Open for both Hyderabad and Bangalore. Knowledge of Chatbots, Gemini, Copilot or Open AI, SWE-Bench is preferred Experience with other programming languages, such as C++ Experience with the agile development methodologies and version control systems such as GIT Certification in AI, machine learning or a related field

What Youll Do Work on ZS AI Products or client AI solutions using ML Engineering & Data Science Tech stack Work on creating GenAI applications such as answering engines, extraction components, and content authoring Provides technical expertise including the evaluation of different products in ML Tech stack Collaborate with data scientists to create state-of-the-art AI models Design and build ML Engineering platforms and components Design and build advanced ML pipelines for Feature engineering, inferencing and continuous model training Design and build ML Ops framework and components for model visibility and tracking Manage the complete ML lifecycle Leads team to achieve established goals, such as delivering new features or functionality Mentor and groom technical talent within the team Review individual work plans before implementation to identify potential issue areas and/or reduce rework Performs design / code reviews of the team to identify issues/risks and ensure robustness Drive estimation of technical components and tracks team's progress Handle client interactions as and when required Recommend designs that are scalable, testable, debuggable, robust, maintainable and usable Maintain a culture of rapid learning and explorations to drive innovations / POCs on niche technologies and architecture patterns; Systematically debug code issues using stack traces, logs, monitoring tools and other resources What Youll Bring 4-8 years experience in deploying and productionizing ML models at scale Strong knowledge in developing RAG-based pipelines using frameworks like LangChain & LlamaIndex Good understanding of various LLMs like Azure OpenAI and proficiency in their effective utilization Solid working knowledge of the engineering components essential in a Gen AI application, including Vector DB, caching layer, chunking, and embedding Experience in scaling GenAI or similar applications to accommodate a high number of users, large data size, and reduce response time. Expertise in Designing, configuring and using ML Engineering platform like Sagemaker, Azure ML, MLFlow, Kubeflow or other platforms Experience in Building ML pipelines, Troubleshooting ML models for high performance and scalability Experience with Spark or other distributed computing frameworks Strong programming expertise in Python, Scala or Java Experience in deployment to cloud services like AWS, Azure, GCP Strong fundamentals of machine learning and deep learning Up to date with recent developments in Machine learning and are familiar with current trends in the wider ML community Knowledgeable of core CS concepts such as common data structures and algorithms Excellent technical presentation skills (documentation, presentations, discussions) Good communicator with clear and concise, active listening and empathy skills. Collaborate well with teams with different backgrounds / expertise / functions Additional Skills: Understanding DevOps CI / CD, data security, experience in designing on cloud platform; Willingness to travel to other global offices as needed to work with the client or other internal project teams

Responsibilities: Design and manage application module for data Integration / ETL collection/processing/storage/retrieval) using latest technologies Should be completely aware of coding standards and should be able to design & develop high performance & scalable application Ability to prototype solutions quickly and analyse and compare multiple solutions and products based on requirements. Required Skills: Broad experience in programming and implementing large distributed systems. Strong Handson experience in developing applications using Java/J2EE, with Spring boot framework knowledge and experience. Experience in core java fundamentals, Java 8+, Spring, Spring boot, Restful APIs and Soap Services. Must possess application development on microservices environment Strong hands-on with design patterns, clean code. Experience with middleware/messaging technologies such as MQ, JMS, Kafka and exposure to event-driven design patterns. Good analytical and document skills Good to have: Experience in data analytics an reports is an advantage knowledge of different industry standards like Open API and Open Telemetry Experience in design and development of integration tools like monitoring, Dashboard, reports and ITSM tools

Role & responsibilities 1) Design and Development of AI Agents: Create and implement AI agents capable of perceiving their environment, making decisions, and executing actions with minimal human intervention. This involves developing algorithms and models that enable agents to learn and adapt over time. 2) Enterprise Orchestration and Management: Oversee the integration and coordination of AI agents within the organization's existing systems and processes. Ensure that AI solutions align with business objectives and enhance operational efficiency. 3) Governance and Compliance: Establish and enforce governance frameworks to ensure AI agents operate within defined policies and regulations. Monitor compliance and implement best practices to maintain system integrity and security. 4) Collaboration with Cross-Functional Teams: Work closely with data scientists, software engineers, and business stakeholders to align AI solutions with organizational goals and user needs. 5) Implementation of Machine Learning Models: Develop and deploy machine learning models that enable AI agents to process data, recognize patterns, and make informed decisions. 6) Monitoring and Maintenance: Oversee the performance of AI agents, ensuring they operate effectively and efficiently. This includes troubleshooting issues, optimizing performance, and updating systems as needed. Primary Skills: Technical expertise in AI and machine learning, strong problem-solving abilities, and effective communication skills to collaborate with diverse teams and stakeholders. 8-12 Years of experience in AI-related roles, with a strong focus on OpenAI technology. Proven experience as a Data Scientist/AI researcher with expertise in machine learning and data science. Research: Stay updated on the latest developments in OpenAI technology, best practices, and emerging capabilities. Proof of Concept: Participate in the development of proof-of-concept projects to explore the feasibility of OpenAI solutions. If you are interested, please share me your updated resume along with below questionnaire. For more details, please visit our website.

3+ years of experience Python programming with Experience in AI/ML frameworks such as TensorFlow, PyTorch Experience with LLM models and tools like OpenAI, Claude, Google Gemini, etc. knowledge of RAG databases and integration with AI models.

The AI-Gen AI Strategy Senior Manager Join our team in Technology Strategy for an exciting career opportunity to enable our most strategic clients to realize exceptional business value from technology Practice: Technology Strategy Advisory, Capability Network I Areas of Work: Data AI Strategy I Level: Senior Manager | Location: Bangalore/Gurgaon/Mumbai/Pune/Chennai/Hyderabad/Kolkata | Years of Exp: 14 to 20 years Explore an Exciting Career at Accenture Do you believe in creating an impactAre you a problem solver who enjoys working on transformative strategies for global clientsAre you passionate about being part of an inclusive, diverse and collaborative culture Then, this is the right place for you! Welcome to a host of exciting global opportunities in Accenture Technology Strategy Advisory. The Practice- A Brief Sketch: The Technology Strategy Advisory Practice is a part of and focuses on the clients most strategic priorities. We help clients achieve growth and efficiency through innovative RD transformation, aimed at redefining business models using agile methodologies. As part of this high performing team, you will work on the scaling AI"and the data that fuels it all"to power every single person and every single process. You will part of our global team of experts who work on the right scalable solutions and services that help clients achieve your business objectives faster. Business Transformation: Assessment of AI potential and development of use cases that can transform business Proof of Concepts :Help design POCs and high-level solutions using AI or Gen AI analytics solutions to derive insights from data. Formulation of Guiding Principles and Components: Assessing impact to clients technology landscape/ architecture and ensuring formulation of relevant guiding principles and platform components. Product and Frameworks :Evaluate existing AI Gen AI products and frameworks available and develop options for proposed solutions. Bring your best skills forward to excel in the role: Leverage your knowledge of technology trends across Data and AI and how they can be applied to address real world problems and opportunities. Interact with client stakeholders to understand their AI problems, priority use-cases, define a problem statement, understand the scope of the engagement, and also drive projects to deliver value to the client Design guide development of Enterprise wide AI Gen AI strategy for our clients Through your expertise and experience, guide your team to suggest the right solutions to meet the needs of clients and help draw up practical implementation road maps that position them for long-term success Benchmark against global research benchmarks and leading industry peers to understand current recommend AI Gen AI solutions Conduct discovery workshops and design sessions to elicit AI Gen AI opportunities client pain areas. Utilize strong expertise certification in any of the AI Gen AI Cloud platforms - Google, Azure or AWS, in areas such as Machine Learning, NLP, Generative AI etc. Collaborate with business experts for business understanding, working with other consultants and platform engineers for solutions and with technology teams for prototyping and client implementations. Have a deep understanding of the Responsible AI Gen AI framework as well as tools to engage the client in meaningful discussions and steer towards the right recommendation Define an AI use case driven value realization framework and define business cases relevant to the client industry Create expert content and use advanced presentation, public speaking, content creation and communication skills for C-Level discussions. Demonstrate strong understanding of a specific industry , client or technology and function as an expert to advise senior leadership. Manage budgeting and forecasting activities and build financial proposals Read more about us. Your experience counts! MBA from a tier 1 institute 7- 10 years of Strategy Consulting experience at a consulting firm 3+ years of experience writing business cases (quantitative and qualitative) to support strategic business initiatives or Data AI transformation 4+ years of experience in designing and building end-to-end Enterprise AI and Gen AI Strategic Solutions using Cloud Non-Cloud platforms like Google Vertex and Gemini, Azure AI, Open AI, Co-Pilot, Amazon Bedrock, IBM Watson, DataRobot etc. Excellent understanding of Traditional AI, Gen AI, Agentic AI and Advanced Cognitive methods to derive insights and actions Good working knowledge in formulation of relevant guiding principles and platform components with expertise in Responsible AI frameworks is highly preferred 3+ years of experience leading or managing large teams effectively including planning/structuring analytical work, facilitating team workshops, and developing Data AI strategy recommendations as well as developing POCs Deep Understanding of data supply chain and building value realization framework for Data AI transformations Mandatory knowledge of IT Enterprise architecture concepts through practical experience and knowledge of technology trends e.g. Mobility, Cloud, Digital, Collaboration A strong understanding in any of the following industries is preferred: Financial Services, Retail, Consumer Goods, Telecommunications, Life Sciences, Transportation, Hospitality, Automotive/Industrial, Mining and Resources or equivalent domains Cloud AI Practitioner Certifications (Azure, AWS, Google) desirable but not essential Whats in it for you An opportunity to work on with key G2000 clients Potential to with leaders in strategy, industry experts, enterprise function practitioners and, business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed into everything"from how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your to grow your skills, industry knowledge and capabilities Opportunity to thrive in a that is committed to accelerate equality for all. Engage in boundaryless collaboration across the entire organization.

The AI-Gen AI Strategy Senior Manager Join our team in Technology Strategy for an exciting career opportunity to enable our most strategic clients to realize exceptional business value from technology Practice: Technology Strategy & Advisory, Capability Network I Areas of Work: Data & AI Strategy I Level: Senior Manager | Location: Bangalore/Gurgaon/Mumbai/Pune/Chennai/Hyderabad/Kolkata | Years of Exp: 14 to 20 years Explore an Exciting Career at Accenture Do you believe in creating an impact? Are you a problem solver who enjoys working on transformative strategies for global clients? Are you passionate about being part of an inclusive, diverse and collaborative culture? Then, this is the right place for you! Welcome to a host of exciting global opportunities in Accenture Technology Strategy & Advisory. The Practice- A Brief Sketch: The Technology Strategy & Advisory Practice is a part of and focuses on the clients most strategic priorities. We help clients achieve growth and efficiency through innovative R&D transformation, aimed at redefining business models using agile methodologies. As part of this high performing team, you will work on the scaling AI"and the data that fuels it all"to power every single person and every single process. You will part of our global team of experts who work on the right scalable solutions and services that help clients achieve your business objectives faster. Business Transformation: Assessment of AI potential and development of use cases that can transform business Proof of Concepts :Help design POCs and high-level solutions using AI or Gen AI analytics solutions to derive insights from data. Formulation of Guiding Principles and Components: Assessing impact to clients technology landscape/ architecture and ensuring formulation of relevant guiding principles and platform components. Product and Frameworks :Evaluate existing AI & Gen AI products and frameworks available and develop options for proposed solutions. Bring your best skills forward to excel in the role: Leverage your knowledge of technology trends across Data and AI and how they can be applied to address real world problems and opportunities. Interact with client stakeholders to understand their AI problems, priority use-cases, define a problem statement, understand the scope of the engagement, and also drive projects to deliver value to the client Design & guide development of Enterprise wide AI & Gen AI strategy for our clients Through your expertise and experience, guide your team to suggest the right solutions to meet the needs of clients and help draw up practical implementation road maps that position them for long-term success Benchmark against global research benchmarks and leading industry peers to understand current & recommend AI & Gen AI solutions Conduct discovery workshops and design sessions to elicit AI & Gen AI opportunities & client pain areas. Utilize strong expertise & certification in any of the AI & Gen AI Cloud platforms - Google, Azure or AWS, in areas such as Machine Learning, NLP, Generative AI etc. Collaborate with business experts for business understanding, working with other consultants and platform engineers for solutions and with technology teams for prototyping and client implementations. Have a deep understanding of the Responsible AI & Gen AI framework as well as tools to engage the client in meaningful discussions and steer towards the right recommendation Define an AI use case driven value realization framework and define business cases relevant to the client industry Create expert content and use advanced presentation, public speaking, content creation and communication skills for C-Level discussions. Demonstrate strong understanding of a specific industry , client or technology and function as an expert to advise senior leadership. Manage budgeting and forecasting activities and build financial proposals Read more about us. Your experience counts! MBA from a tier 1 institute 7- 10 years of Strategy Consulting experience at a consulting firm 3+ years of experience writing business cases (quantitative and qualitative) to support strategic business initiatives or Data & AI transformation 4+ years of experience in designing and building end-to-end Enterprise AI and Gen AI Strategic Solutions using Cloud & Non-Cloud platforms like Google Vertex and Gemini, Azure AI, Open AI, Co-Pilot, Amazon Bedrock, IBM Watson, DataRobot etc. Excellent understanding of Traditional AI, Gen AI, Agentic AI and Advanced Cognitive methods to derive insights and actions Good working knowledge in formulation of relevant guiding principles and platform components with expertise in Responsible AI frameworks is highly preferred 3+ years of experience leading or managing large teams effectively including planning/structuring analytical work, facilitating team workshops, and developing Data & AI strategy recommendations as well as developing POCs Deep Understanding of data supply chain and building value realization framework for Data & AI transformations Mandatory knowledge of IT & Enterprise architecture concepts through practical experience and knowledge of technology trends e.g. Mobility, Cloud, Digital, Collaboration A strong understanding in any of the following industries is preferred: Financial Services, Retail, Consumer Goods, Telecommunications, Life Sciences, Transportation, Hospitality, Automotive/Industrial, Mining and Resources or equivalent domains Cloud AI Practitioner Certifications (Azure, AWS, Google) desirable but not essential Whats in it for you? An opportunity to work on with key G2000 clients Potential to with leaders in strategy, industry experts, enterprise function practitioners and, business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed into everything"from how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your to grow your skills, industry knowledge and capabilities Opportunity to thrive in a that is committed to accelerate equality for all. Engage in boundaryless collaboration across the entire organization. About Accenture: Accenture is a leading global professional services company, providing a broad range of services and solutions in strategy, consulting, digital, technology and operations. Combining unmatched experience and specialized skills across more than 40 industries and all business functions " underpinned by the worlds largest delivery network " Accenture works at the intersection of business and technology to help clients improve their performance and create sustainable value for their stakeholders. With 569,000 people serving clients in more than 120 countries, Accenture drives innovation to improve the way the world works and lives. Visit us at About Accenture Strategy & Consulting: Accenture Strategy shapes our clients future, combining deep business insight with the understanding of how technology will impact industry and business models. Our focus on issues such as digital disruption, redefining competitiveness, operating and business models as well as the workforce of the future helps our clients find future value and growth in a digital world. Today, digital is changing the way organizations engage with their employees, business partners, customers and communities. This is our unique differentiator. To bring this global perspective to our clients, Accenture Strategys services include those provided by our Capability Network- a distributed management consulting organization that provides management consulting and strategy expertise across the client lifecycle. Our Capability Network teams complement our in-country teams to deliver cutting-edge expertise and measurable value to clients all around the world. For more information visit | At the heart of every great change is a great human. If you have ideas, ingenuity and a passion for making a difference, . Qualifications MBA from a tier 1 institute 7 10 years of Strategy Consulting experience at a consulting firm 3+ years of experience writing business cases (quantitative and qualitative) to support strategic business initiatives or Data & AI transformation 4+ years of experience in designing and building end-to-end Enterprise AI and Gen AI Strategic Solutions using Cloud & Non-Cloud platforms like Google Vertex and Gemini, Azure AI, Open AI, Co-Pilot, Amazon Bedrock, IBM Watson, DataRobot etc. Excellent understanding of Traditional AI, Gen AI, Agentic AI and Advanced Cognitive methods to derive insights and actions Good working knowledge in formulation of relevant guiding principles and platform components with expertise in Responsible AI frameworks is highly preferred 3+ years of experience leading or managing large teams effectively including planning/structuring analytical work, facilitating team workshops, and developing Data & AI strategy recommendations as well as developing POCs Deep Understanding of data supply chain and building value realization framework for Data & AI transformations Mandatory knowledge of IT & Enterprise architecture concepts through practical experience and knowledge of technology trends e.g. Mobility, Cloud, Digital, Collaboration A strong understanding in any of the following industries is preferred: Financial Services, Retail, Consumer Goods, Telecommunications, Life Sciences, Transportation, Hospitality, Automotive/Industrial, Mining and Resources or equivalent domains Cloud AI Practitioner Certifications (Azure, AWS, Google) desirable but not essential