3120 Artificial Intelligence Jobs - Page 20

Community Program Design: Designing a program framework to launch, onboard, and nurture growth of communities in priority countries around the world, collaborating with other program teams to align objectives Design a framework to build and nurture a student and faculty ecosystem (including but not limited to student clubs, societies and associations, university platforms, academic departments and career services, etc.) Community Engagement & Support: Building and maintaining strong relationships with community members and focal points, acting as their advocate within the company. Proactively engaging with community members through online platforms, forums, social media, and virtual events to foster collaboration and knowledge sharing. Creating, curating, and sharing resources, including guides, FAQs, and industry insights, to help community members enhance their engagement with extended communities. Collaborating with the Marketing team to promote IBM opportunities, showcase success stories and promote their impact across multiple channels. Onboarding & Training: Onboarding new community members and ensuring they are fully equipped to engage their extended communities effectively. Developing and delivering promotional, enablement and training materials, webinars, and best practices. Community Building & Events: Planning and executing virtual events, such as webinars, roundtable discussions, and Q&A sessions in collaboration with program and delivery teams, to promote collaboration and professional development within the community. Developing initiatives that encourage networking, mentorship, and peer support among community members. Organizing recognition and incentive programs to celebrate high-performing community members and foster community spirit. Feedback & Improvement: Gathering feedback from community members on their experience and identifying areas for improvement. Collaborating with cross-functional teams (Marketing, Consulting, Research) to ensure that community member feedback is folded into future strategy. Analyzing engagement metrics and feedback to identify trends, opportunities, and areas for improvement. Required education Bachelor's Degree Required technical and professional expertise About 7+ years of experience designing and running global large-scale programs for professional or student developer communities. Successful track record of setting up and running global community programs with students, developers, and academic stakeholders. Strong experience in community and ecosystem building, including launching and scaling communities, managing stakeholders and operations (including processes, documentation and resource management). Successful track record of creating engaging experiences for student and faculty communities, including experiences that meet individual geographic and global needs. Deep understanding of university and AI education and related ecosystems. Ability to map stakeholders (internal teams, external partners, end-users, etc.) and align community activities with broader organizational objectives. Experience in multi-channel promotion and in collaborating with communications and marketing to promote opportunities and showcase successes. Defining and tracking engagement, growth and impact, reporting program metrics and driving continuous improvements based on lessons learned. Entrepreneurial mindset and appetite to stretch the role, constantly reimagining what it can deliver Ability to genuinely understanding members’ needs, challenges and aspirations, cultivating. relationships, empowering local champions, and demonstrating follow-through on commitments. Ability to work effectively across timezones and multicultural environment. A successful Community Manager is able to combine a a clear strategic vision with hands-on community and ecosystem care, keeping member value at the heart of every decision and driving program growth. Preferred technical and professional experience Experience engaging and nurturing communities on social media Familiarity with data and AI technologies Other related job titles to source resumes on LinkedIn - Developer Advocate, Google Developer Student Group Program Manager, Google Developer Group Program Manager, Student Ambassador Community Manager etc.

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into effective solutions that address real-world challenges. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge.- Continuously evaluate and improve existing processes and systems to optimize performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Good To Have Skills: Experience with cloud-based AI services.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques and tools.- Experience in developing and deploying chatbots and conversational agents. Additional Information:- The candidate should have minimum 7.5 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into effective solutions that address real-world challenges. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge.- Continuously evaluate and improve existing processes and systems to optimize performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Good To Have Skills: Experience with cloud-based AI services.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques and tools.- Experience in developing and deploying chatbots and conversational agents. Additional Information:- The candidate should have minimum 7.5 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve collaborating with cross-functional teams to design and implement production-ready solutions, ensuring that the applications meet high-quality standards. You will also explore innovative approaches to integrate generative AI models into various projects, contributing to advancements in deep learning, neural networks, and other AI technologies. Your role will require a balance of technical expertise and creative problem-solving to address complex challenges in the field of artificial intelligence. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Collaborate with team members to design and implement AI-driven applications.- Analyze project requirements and develop effective strategies for AI model integration. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Experience with cloud platforms and services for AI deployment.- Familiarity with data preprocessing and feature engineering techniques.- Knowledge of natural language processing and its applications. Additional Information:- The candidate should have minimum 3 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve collaborating with cross-functional teams to design and implement production-ready solutions, ensuring that the applications meet high-quality standards. You will also explore innovative approaches to integrate generative AI models into various projects, contributing to advancements in deep learning, neural networks, and other AI technologies. Your role will require a balance of technical expertise and creative problem-solving to address complex challenges in the field of artificial intelligence. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Collaborate with team members to design and implement AI-driven applications.- Analyze project requirements and develop effective strategies for AI model integration. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Experience with cloud platforms and services for AI deployment.- Familiarity with data preprocessing and feature engineering techniques.- Knowledge of natural language processing and its applications. Additional Information:- The candidate should have minimum 3 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve collaborating with cross-functional teams to design and implement production-ready solutions, ensuring that the applications meet high-quality standards. You will also explore innovative approaches to integrate generative AI models into various projects, contributing to advancements in deep learning, neural networks, and other AI technologies. Your role will require a balance of technical expertise and creative problem-solving to address complex challenges in the field of artificial intelligence. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge in AI and machine learning.- Continuously evaluate and improve existing AI models and systems to ensure optimal performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying AI solutions.- Familiarity with natural language processing techniques and tools.- Ability to design and implement scalable AI applications. Additional Information:- The candidate should have minimum 5 years of experience in Large Language Models.- This position is based at our Mumbai office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve collaborating with cross-functional teams to design and implement production-ready solutions, ensuring that the applications meet high-quality standards. You will also explore innovative approaches to integrate generative AI models into various projects, contributing to advancements in deep learning, neural networks, and other AI technologies. Your role will require a balance of technical expertise and creative problem-solving to address complex challenges in the field of artificial intelligence. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge in AI and machine learning.- Continuously evaluate and improve existing AI models and systems to ensure optimal performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying AI solutions.- Familiarity with natural language processing techniques and tools.- Ability to design and implement scalable AI applications. Additional Information:- The candidate should have minimum 5 years of experience in Large Language Models.- This position is based at our Mumbai office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into effective solutions that address real-world challenges. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge.- Continuously evaluate and improve existing processes and systems to optimize performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Good To Have Skills: Experience with cloud-based AI services.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques and tools.- Experience in developing and deploying chatbots and conversational agents. Additional Information:- The candidate should have minimum 7.5 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into effective solutions that address real-world challenges. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge.- Continuously evaluate and improve existing processes and systems to optimize performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Good To Have Skills: Experience with cloud-based AI services.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques and tools.- Experience in developing and deploying chatbots and conversational agents. Additional Information:- The candidate should have minimum 7.5 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into effective solutions that address real-world challenges. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge.- Continuously evaluate and improve existing processes and systems to optimize performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Good To Have Skills: Experience with cloud-based AI services.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques and tools.- Experience in developing and deploying chatbots and conversational agents. Additional Information:- The candidate should have minimum 7.5 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into effective solutions that address real-world challenges. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge.- Continuously evaluate and improve existing processes and systems to optimize performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Good To Have Skills: Experience with cloud-based AI services.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques and tools.- Experience in developing and deploying chatbots and conversational agents. Additional Information:- The candidate should have minimum 7.5 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Looking for a Java backend developer with 5-7 years of industry experience Strong in Java, Data Structures & Algorithms, OOPS. Experience in databases like Oracle, MySQL, PostgreSQL. Experience in Jenkins and Gradle Exposure to SOAP and REST webservices Should have good communication skills, ability to understand the business needs and must have sound analytical skills. Strong proficiency in version control systems, such as Git Required education Bachelor's Degree Preferred education Bachelor's Degree Required technical and professional expertise Looking for a Java backend developer with 5-7 years of industry experience Strong in Java, Data Structures & Algorithms, OOPS. Experience in databases like Oracle, MySQL, PostgreSQL. Experience in Jenkins and Gradle Exposure to SOAP and REST webservices Should have good communication skills, ability to understand the business needs and must have sound analytical skills. Strong proficiency in version control systems, such as Git Preferred technical and professional experience Experience in Docker, Kubernetes, AI, will be an added advantage.

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into effective solutions that address real-world challenges. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge.- Continuously evaluate and improve existing processes and systems to optimize performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying AI solutions.- Familiarity with natural language processing techniques and tools.- Ability to design and implement scalable AI applications. Additional Information:- The candidate should have minimum 7.5 years of experience in Large Language Models.- This position is based in Pune.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into effective solutions that address real-world challenges. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge.- Continuously evaluate and improve existing processes and systems to optimize performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying AI solutions.- Familiarity with natural language processing techniques and tools.- Ability to design and implement scalable AI applications. Additional Information:- The candidate should have minimum 7.5 years of experience in Large Language Models.- This position is based in Pune.- A 15 years full time education is required. Qualification 15 years full time education

As an Infrastructure Product Manager, you will take the helm in leading a team dedicated to propelling the growth of IBM Storage Systems. Your role will focus mostly on ensuring successful delivery of our product portfolio from tracking deliverables, creating license structure, and ensuring timelines are met. Additional responsibilities will include assisting team members on validating customer needs, competitive and market analysis, and GTM strategies. Key Responsibilities: Cross-Functional Collaboration: Collaborate effectively across departments to build innovative solutions that address complex challenges. Agile Thinking: Ability to embrace methodologies of iterative development, evolving solutions and self organizing across functional teams. Product Operations: Track business metrics and product content to ensure successful delivery of product releases. Leadership: Demonstrate leading projects and cross functional teams to deliver results within a team and across business units. Required education Bachelor's Degree Required technical and professional expertise BA/BS in computer science, Engineering, Artificial Intelligence, or related field 2+ years of Project Management experience Passion for data driven insights and innovation Infrastructure, Data management, or AI software or related technology experience Executive-level written and verbal communication skills Cross-functional leadership, influence, and collaboration capabilities Preferred technical and professional experience Experience in Product Management or Technology Project Management Understanding of OpenShift and Kubernetes market Experience with IBM SW (IBM Cloud Paks, IBM watsonx) Experience with Public Clouds including IBM Cloud, Azure, AWS, and GCP

IBM’s Ceph engineering organization is looking for a Software Engineer to join the File protocols Team. In this role you will collaborate with our worldwide Ceph engineering team to develop and enhance distributed/networked file storage and in particular modern NFS (NFSv4.1/2, pNFS) implementation projects. You will design and implement new capabilities and features to enable new use cases while improving scalability, performance and efficiency. You will participate in a vibrant and active open source community to deliver enterprise-quality software. The IBM Ceph storage object team develops RGW (“Rados Gateway”) an industry-leading open-source implementation of Amazon S3- and Swift-compatible object storage services, plus accelerations and extensions to support Red Hat offerings for big data/analytics and AI/ML, among other applications. The team also co-develops and supports enhancements for NFS-Ganesha, a flexible user-space NFSv4 implementation, in support of open source communities and storage team Required education Bachelor's Degree Required technical and professional expertise * 5+ years of professional experience in systems development and software engineering Proficient in Python with experience developing and maintaining libraries. * Experience working with C++ codebases, or other systems languages and demonstrated ability * Good debugging skills both live system and offline core files * Able to troubleshoot issues in production and assist Customer facing team for root cause analysis * Excellent English written and verbal communication skills, for our worldwide team * Working experience with Open source projects * Experience in git and github * Demonstrated ability to understand large codebases and develop significant new features and architectural changes * Modern systems development, debugging, and system construction. * Distributed systems, software-defined storage, and networked file access protocols expertise. * Proficiency in C and C++ with knowledge of C11, C++20 coroutines. * Familiarity with storage architectures, object storage, and open-source storage solutions. * Experience in open-source community collaboration and contribution. * Strong networking protocol knowledge, particularly in NFS and user-space NFSv4 implementations. * Debugging complex distributed systems and performance optimization skills. * Proficiency in advanced native-code tools and techniques for system development. * Familiarity with cloud storage technologies, object storage interfaces (e.g., S3, Swift), and integration of storage services with big data/analytics and AI/ML platforms. Preferred technical and professional experience * Experience with open-source storage projects in the Ceph ecosystem. * Knowledge of modern storage technologies, cloud-native storage, and containerization. * Performance profiling, analysis, and optimization of distributed systems. * Understanding of file system internals, security practices, and DevOps methodologies. * Familiarity with storage virtualization, machine learning, and AI technologies. * Certifications in storage, distributed systems, or cloud platforms are a plus.

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve collaborating with cross-functional teams to design and implement production-ready solutions, ensuring that the applications meet high-quality standards. You will also explore innovative approaches to integrate generative AI models into various projects, contributing to advancements in deep learning, neural networks, and other AI technologies. Your role will require a balance of technical expertise and creative problem-solving to address complex challenges in the field of artificial intelligence. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Collaborate with team members to design and implement AI-driven applications.- Analyze project requirements and develop effective strategies for AI model integration. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Experience with cloud platforms and services for AI deployment.- Familiarity with data preprocessing and feature engineering techniques.- Knowledge of natural language processing and its applications. Additional Information:- The candidate should have minimum 3 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve collaborating with cross-functional teams to design and implement production-ready solutions, ensuring that the applications meet high-quality standards. You will also explore innovative approaches to integrate generative AI models into various projects, contributing to advancements in deep learning, neural networks, and other AI technologies. Your role will require a balance of technical expertise and creative problem-solving to address complex challenges in the field of artificial intelligence. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Collaborate with team members to design and implement AI-driven applications.- Analyze project requirements and develop effective strategies for AI model integration. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Experience with cloud platforms and services for AI deployment.- Familiarity with data preprocessing and feature engineering techniques.- Knowledge of natural language processing and its applications. Additional Information:- The candidate should have minimum 3 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

As a key member of our dynamic team, you will play a vital role in crafting exceptional software experiences. Your responsibilities will encompass the design and implementation of innovative features, fine-tuning and sustaining existing code for optimal performance, and guaranteeing top-notch quality through rigorous testing and debugging. Collaboration is at the heart of what we do, and you’ll be working closely with fellow developers, designers, and product managers to ensure our software aligns seamlessly with user expectations. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise *4+ years of hands-on experience with 2 or more of the following languages:Java, JavaScript, TypeScript, Kotlin, Python * Experience with web development, API's, and web services: * Exposure to AI/ML framework for app development LangChain, CrewAI, and LlamaIndex, others * Exposure to Cloud deployment technologies Kubernetes, AWS, Azure, others * Integration skills with SQL / NoSQL databases (DB2 and Couchbase) backend infrastructure to pull data that feeds insights Preferred technical and professional experience * Exposure to Agile development practices * Having knowledge with EDI software infrastructures * Knowledge in distributed systems and SaaS infrastructure * Knowledge in automation and monitoring tools * Familiarity with various protocol standards like FTP(S), SFTP, HTTP(s), REST

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into effective solutions that address real-world challenges. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge.- Continuously evaluate and improve existing processes and systems to optimize performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Good To Have Skills: Experience with cloud-based AI services.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques and tools.- Experience in developing and deploying chatbots and conversational agents. Additional Information:- The candidate should have minimum 7.5 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into effective solutions that address real-world challenges. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge.- Continuously evaluate and improve existing processes and systems to optimize performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Good To Have Skills: Experience with cloud-based AI services.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques and tools.- Experience in developing and deploying chatbots and conversational agents. Additional Information:- The candidate should have minimum 7.5 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

The AI Expert, serving as a Senior Managing Consultant for transformation programs in Banking, will have a critical role with the following key responsibilities: 1. Transformative Pitch ConstructionDevelop and present transformative pitches to banks that utilize applied AI to enhance employee productivity, reduce operational risks, improve customer satisfaction, and address other critical problem statements. Emphasize the connection between AI initiatives and return on investment (ROI) to demonstrate the financial benefits of proposed solutions. 2. AI Solution Architecture LeadershipLead the design and formulation of AI solution architectures for proposals and pitches. Ensure that the solutions are innovative, scalable, and differentiated from competitors’ offerings. 3. AI Governance AssessmentEvaluate the maturity of AI governance frameworks within client organizations. Identify gaps and recommend best practices to enhance governance structures, ensuring compliance with regulatory standards. 4. Product and Partner Ecosystem EvaluationAssist banks in selecting appropriate AI products and establishing a partner ecosystem that aligns with their strategic objectives and enhances their technological capabilities. 5. Model Execution OversightOversee the execution of AI models, ensuring adherence to established methodologies and best practices. Review model performance and provide guidance for improvements as necessary. 6. Stakeholder CollaborationWork closely with cross-functional teams, including data scientists, business analysts, and IT professionals, to ensure alignment between business goals and technical solutions Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise The candidate must possess the following technical and professional expertise: 1. Educational BackgroundA Bachelor’s or master’s degree in computer science, Data Science, Artificial Intelligence, or a related field is required. 2. ExperienceA minimum of 15 years of experience in consulting or a related field within the financial services industry, with a strong focus on AI applications in banking. 3. Technical Skills: 4. Proficiency in AI technologies such as machine learning, deep learning, natural language processing (NLP), and robotic process automation (RPA). 5. Experience with data analytics tools (e.g., Python, R) for model development and evaluation. 6. Familiarity with leading AI stacks (e.g., TensorFlow, PyTorch) for developing scalable AI solutions. 7. Knowledge of cloud platforms (e.g., AWS, Azure, GCP) for deploying AI solutions. 8. Understanding of data governance principles and frameworks relevant to AI applications. Professional Skills: 1. Strong analytical skills with a proven ability to identify gaps in existing processes and recommend innovative solutions. 2. Excellent communication skills for effectively conveying complex technical concepts to diverse stakeholders. 3. Project management capabilities to oversee the execution of AI initiatives. 4. Ability to articulate the ROI associated with AI projects to stakeholders at various levels within client organizations. Preferred technical and professional experience Industry KnowledgeFamiliarity with emerging trends in banking such as digital banking transformations, embedded finance solutions, and regulatory compliance requirements related to AI. 2. CertificationsRelevant certifications such as Certified Analytics Professional (CAP), AWS Certified Machine Learning Specialty, or similar credentials that demonstrate expertise in AI technologies. 3. Experience with Governance FrameworksPrior experience in assessing or implementing AI governance frameworks within financial institutions is highly desirable. 4. Understanding of Ethical AI PracticesKnowledge of ethical considerations surrounding AI use in banking, including fairness, accountability, transparency, and bias mitigation strategies.

Work with broader team to build, analyze and improve the AI solutions. You will also work with our software developers in consuming different enterprise applications Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Resource should have 5-7 years of experience. Sound knowledge of Python and should know how to use the ML related services. Proficient in Python with focus on Data Analytics Packages. Strategy Analyse large, complex data sets and provide actionable insights to inform business decisions. Strategy Design and implementing data models that help in identifying patterns and trends. Collaboration Work with data engineers to optimize and maintain data pipelines. Perform quantitative analyses that translate data into actionable insights and provide analytical, data-driven decision-making. Identify and recommend process improvements to enhance the efficiency of the data platform. Develop and maintain data models, algorithms, and statistical models Preferred technical and professional experience Experience with conversation analytics. Experience with cloud technologies Experience with data exploration tools such as Tableu

Job Title Ind & Func AI Value Strategy Manager- S&C GN Management Level : 7 Manager Location: Bangalore / Hyderabad / Pune / Gurugram Must have skills :Generative AI, Data and AI Strategy, Business Value Case development Good to have skills: PowerBI, Machine Learning, Large Language Models (LLMs), Python, SQL Job Summary : As an AI Value Strategy Manager, you will play a key role in designing, building, and implementing Data and AI Strategy and thought leadership to address business challenges across various industries. You will leverage Data, Generative AI, Machine Learning, and Large Language Models (LLMs) to drive innovation and deliver impactful insights for clients. Your work will involve collaborating with cross-functional teams, and contributing to the development of Data and AI solutioning. Key Responsibilities For large transformation deals, design robust data and AI strategy by discovering right business use cases, reinventing process design and optimizing the architecture. Define strategies to assess clients' current data and apply AI capabilities, developing roadmaps for the future using tools such as data diagnostics, data and AI maturity assessment, and business case development. Bring expertise to define and execute data and AI platform strategies for stakeholders, covering areas such as cloud computing, emerging data and AI platforms/ technologies/ trends, and ecosystem strategies. Design architecture and operating model blueprints including organizational design, delivery engagement models, and talent & learning roadmaps that enable seamless integration and scalability of AI solutions across the organization, ensuring alignment with business goals and technical requirements. Develop strategic roadmaps for the implementation of AI initiatives, outlining key milestones, dependencies, and timelines to ensure successful execution and alignment with business priorities. Provide thought leadership on emerging data and AI trends, patterns, and technologies, shaping proofs of capability and enabling clients to harness and adopt innovation in the data and AI domain. Collaborate with cross-functional teams to build compelling business cases for AI initiatives, conducting thorough cost-benefit analyses, ROI assessments, and risk evaluations to support decision-making and investment prioritization. Infuse Responsible AI in the core AI foundation and solution design, develop plan for leveraging ecosystem partners, and define operating model to foster a culture of innovation and experimentation. Other skills Deep understanding of Generative AI, cloud computing, emerging data and AI platforms/technologies/trends Strong understanding of data and AI platforms & technologies, architecture principles, operating models, and best practices, with hands-on experience in designing and implementing scalable AI solutions. Demonstrated ability to build compelling business cases for AI initiatives, with experience conducting cost-benefit analyses, ROI assessments, and risk evaluations. Excellent strategic thinking and problem-solving skills, with the ability to identify opportunities for AI-driven innovation and value creation in complex business environments. Exceptional communication and stakeholder management skills, with the ability to effectively collaborate with cross-functional teams and influence decision-making at all levels of the organization. About Our Company | Accenture (do not remove the hyperlink) Qualification Experience: Minimum 10+ years of experience in Data and AI space, preferably within a consulting environment Educational Qualification: Bachelors or Masters degree (BE/BTech/MBA) in Statistics, Computer Science, Mathematics, or related disciplines with an excellent academic record

Job description Company Description TELUS Digital is a global digital transformation company that focuses on creating unique and enduring digital experiences for customers and employees. Our portfolio includes digital IT services, trust and safety services, AI data solutions, and front-end digital design and consulting services. We strive to elevate end customer journeys, solve business challenges, drive innovation, and create inclusive, thriving communities. Role Description This is a full-time on-site role as a Data Annotator located in Bengaluru. The Data Annotator will be responsible for day-to-day tasks related to annotating and labeling data for AI models, ensuring data quality and accuracy. We are seeking experienced Data Annotation Specialists with a keen eye for detail and prior expertise in 2D and 3D labeling, LiDAR data, and datasets. This role plays a critical part in training AI systems for autonomous projects and requires working on annotation tasks like identifying clear image labeling, and converting main 2D images accurately. Qualifications Experience in data annotation and labeling Annotate and label datasets, including 2D models, other 2D and 3D images, and LiDAR scans. Strong attention to detail and ability to maintain data quality Proficiency in data management tools and platforms Good analytical and problem-solving skills Excellent communication and collaboration abilities Bachelor's degree in Computer Science, Data Science, or related field Required Skills and Experience: 1.5 to 2+ years of hands-on experience in 2D & 3D data annotation . Practical knowledge in LiDAR annotation . Background working on datasets is mandatory . Experience in hardware automation projects. Strong attention to detail and basic communication skills .