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 designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, and may also explore deep learning, neural networks, chatbots, and image processing technologies. Collaboration with cross-functional teams will be essential to integrate these solutions effectively into existing systems and workflows. 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.- Facilitate knowledge sharing and training sessions to enhance team capabilities.- Monitor project progress and ensure alignment with strategic goals. 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 5 years of experience in Large Language Models.- This position is based in Chennai.- 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 designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, and may also explore deep learning, neural networks, chatbots, and image processing technologies. Collaboration with cross-functional teams will be essential to integrate these solutions effectively into existing systems and workflows. 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.- Facilitate knowledge sharing and training sessions to enhance team capabilities.- Monitor project progress and ensure alignment with strategic goals. 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 5 years of experience in Large Language Models.- This position is based in Chennai.- A 15 years full time education is required. Qualification 15 years full time education

The Product Manager for IBM AI Infrastructure will play critical role in driving the growth of the IBM Infrastructure business. The AI Infrastructure PM lead will partner closely with the AI Infrastructure team as well as the Strategy and Development team teams across the IBM brands. The PM will be responsible for influencing the strategy and offerings for AI across the Infrastructure portfolio. In this role, you will own product management activities in developing and delivering the IBM AI infrastructure market strategy and offerings in conjunction with other product leaders across systems. You will play a role in influencing and driving the teams to deliver AI offerings that will propel IBM in the market. The team will consist of Strategists, technical product managers, product owners focused on IBM AI Infrastructure offerings, platform, and solutions. Required education Bachelor's Degree Required technical and professional expertise Work in close cooperation with the Product Management Executive team, other executives, peers and cross-functional colleagues to meet existing and evolving product and business objectives Provide direction to IBM Marketing to ensure effective messaging and content development. Work with the program management leads to execute and deliver on launches and overall, AI roadmap At least 2 years AI or industry business experience At least 2 years product management experience in IT systems development and/or product (offering) management Experience with Agile Development and Design Thinking 3-5 years of Professional or academic business or Engineering experience. Strong written and oral communication skills Experience speaking with and presenting to customers or business partners, both pre- and post-sales Preferred technical and professional experience Bachelor’s degree in computer science, Engineering or business Experience in AI industry models, particularly Generative AI models Foundational knowledge of data storage and data protection. Foundational knowledge of Power Systems and IBM Z Foundational knowledge of cloud computing and cloud services.

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 : Machine Learning Good to have skills : NAMinimum 15 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 existing systems and workflows, driving efficiency and enhancing user experiences. Roles & Responsibilities:- Expected to be a Subject Matter Expert with deep knowledge and experience.- Should have influencing and advisory skills.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities and understanding of AI technologies.- Evaluate and recommend new tools and technologies that can improve the efficiency and effectiveness of AI solutions. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning.- Experience with cloud-based AI services and deployment strategies.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with data preprocessing and feature engineering techniques.- Ability to design and implement neural network architectures for various applications. Additional Information:- The candidate should have minimum 15 years of experience in Machine Learning.- 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 : Machine Learning Good to have skills : NAMinimum 15 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 existing systems and workflows, driving efficiency and enhancing user experiences. Roles & Responsibilities:- Expected to be a Subject Matter Expert with deep knowledge and experience.- Should have influencing and advisory skills.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities and understanding of AI technologies.- Evaluate and recommend new tools and technologies that can improve the efficiency and effectiveness of AI solutions. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning.- Experience with cloud-based AI services and deployment strategies.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with data preprocessing and feature engineering techniques.- Ability to design and implement neural network architectures for various applications. Additional Information:- The candidate should have minimum 15 years of experience in Machine Learning.- 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 15 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, and may also explore deep learning, neural networks, chatbots, and image processing technologies. Collaboration with cross-functional teams will be essential to integrate these solutions effectively into existing systems and workflows. 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.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate knowledge sharing and mentoring within the team to enhance overall performance.- Continuously evaluate and improve existing processes and systems to optimize efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of cloud-based AI services and their integration.- Experience with deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques and tools.- Ability to design and implement scalable AI solutions. Additional Information:- The candidate should have minimum 12 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 15 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, and may also explore deep learning, neural networks, chatbots, and image processing technologies. Collaboration with cross-functional teams will be essential to integrate these solutions effectively into existing systems and workflows. 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.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate knowledge sharing and mentoring within the team to enhance overall performance.- Continuously evaluate and improve existing processes and systems to optimize efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of cloud-based AI services and their integration.- Experience with deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques and tools.- Ability to design and implement scalable AI solutions. Additional Information:- The candidate should have minimum 12 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

Role Overview: As a Data Scientist within IBM's Chief Analytics Office, you will support AI-driven projects across the enterprise. You will apply your technical skills in AI, machine learning, and data analytics to assist in implementing data-driven solutions that align with business goals. This role involves working with team members to translate data insights into actionable recommendations. Key Responsibilities: Technical Execution and Leadership: Develop and deploy AI models and data analytics solutions. Support the implementation and optimization of AI-driven strategies per business stakeholder requirements. Help refine data-driven methodologies for transformation projects. Data Science and AI: Design and implement machine learning solutions and statistical models, from problem formulation through deployment, to analyze complex datasets and generate actionable insights. Learn and utilize cloud platforms to ensure the scalability of AI solutions. Leverage reusable assets and apply IBM standards for data science and development. Project Support: Lead and contribute to various stages of AI and data science projects, from data exploration to model development. Monitor project timelines and help resolve technical challenges. Design and implement measurement frameworks to benchmark AI solutions, quantifying business impact through KPIs. Collaboration: Ensure alignment to stakeholders’ strategic direction and tactical needs. Work with data engineers, software developers, and other team members to integrate AI solutions into existing systems. Contribute technical expertise to cross-functional teams. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Education: Bachelor’s or Master’s in Computer Science, Data Science, Statistics, or a related field is required; an advanced degree strongly preferred Experience: 5+ yearsof experience in data science, AI, or analytics with a focus on implementing data-driven solutions Experience with data cleaning, data analysis, A/B testing, and data visualization Experience with AI technologies through coursework or projects Technical Skills: Proficiency in SQL and Python for performing data analysis and developing machine learning models Knowledge of common machine learning algorithms and frameworkslinear regression, decision trees, random forests, gradient boosting (e.g., XGBoost, LightGBM), neural networks, and deep learning frameworks such as TensorFlow and PyTorch Experience with cloud-based platforms and data processing frameworks Understanding of large language models (LLMs) Familiarity with IBM’s watsonx product suite Familiarity with object-oriented programming Analytical Skills: Strong problem-solving abilities and eagerness to learn Ability to work with datasets and derive insights Other : Good communication skills, with the ability to explain technical concepts clearly Enthusiasm for learning and applying new technologies Strong project management skills, with the ability to balance multiple initiatives, prioritize tasks effectively, and meet deadlines in a fast-paced environment Successful completion of Coding Assessment Preferred technical and professional experience Advanced degree strongly preferred

Key Skills & Qualifications: Experience: 5+ years of experience in AI/ML engineering roles, with a proven track record of successfully delivering machine learning projects. AI/ML Expertise: Strong knowledge of machine learning algorithms (supervised, unsupervised, reinforcement learning) and AI techniques, including NLP, computer vision, and recommendation systems. Programming Languages: Proficient in Python and relevant ML libraries such as TensorFlow, PyTorch, Scikit-learn, and Keras. Data Manipulation: Experience with data manipulation libraries such as Pandas, NumPy, and SQL for managing and processing large datasets. Model Development: Expertise in building, training, deploying, and fine-tuning machine learning models in production environments. Cloud Platforms: Experience with cloud platforms such as AWS, GCP, or Azure for the deployment and scaling of AI/ML models. MLOps: Knowledge of MLOps practices for model versioning, automation, and monitoring. Data Preprocessing: Proficient in data cleaning, feature engineering, and preparing datasets for model training. Strong experience building and deploying end-to-end AI-powered applicationsnot just models but full system integration. Hands-on experience with Flask, FastAPI, Django, or similar for building REST APIs for model serving. Understanding of system design and software architecture for integrating AI into production environments. Experience with frontend/backend integration (basic React/Next.js knowledge is a plus). Demonstrated projects where AI models were part of deployed user-facing applications. NLP & Computer Vision: Hands-on experience with natural language processing or computer vision projects. Big Data: Familiarity with big data tools and frameworks (e.g., Apache Spark, Hadoop) is an advantage. Problem-Solving Skills: Strong analytical and problem-solving abilities, with a focus on delivering practical AI/ML solutions. Educational Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, Artificial Intelligence, or a related field.

Associate Professor (Artificial Intelligence in Biosciences) @ Amritapuri Campus Associate Professor (Artificial Intelligence in Biosciences) @ Amritapuri Campus - Amrita Vishwa Vidyapeetham Associate Professor (Artificial Intelligence in Biosciences) @ Amritapuri Campus Associate Professor (Artificial Intelligence in Biosciences) @ Amritapuri Campus Amrita Vishwa Vidyapeetham, Amritapuri Campus is inviting applications from qualified candidates for the post of Associate Professor (Artificial Intelligence in Biosciences) For Details Contact : hr-asbt@am. amrita. edu Associate Professor (Artificial Intelligence in Biosciences) Ph. D. in Computer Science, Bioinformatics, Computational Biology, Biomedical Engineering, or a related discipline. A strong publication record in top-tier journals or conferences in areas bridging AI and biosciences. Experience in interdisciplinary collaboration and project leadership. Job Description Conduct independent and collaborative research in AI applications to biosciences, such as genomics, systems biology, drug discovery, personalized medicine, or bioinformatics. Secure external research funding through grants and industry partnerships. Teach undergraduate and graduate courses in AI, machine learning, computational biology, or related subjects. Supervise Ph. D. and Master s students, and mentor junior faculty and researchers. Publish high-quality research in peer-reviewed journals and present at national/international conferences. Contribute to curriculum development and interdisciplinary academic programs. Collaborate with faculty across departments including computer science, data science, biotechnology, and medicine. Engage in departmental, university, professional, and service-related activities. Last Date to Apply June 30, 2025 Thank You for contacting us! Well be in touch shortly. Add File or drop files here Upto 500kb | doc, docx PDF format only Extra curricular activities To confirm your request , please check the box to let us know you are human

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 designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, and may also explore deep learning, neural networks, chatbots, and image processing technologies. Collaboration with cross-functional teams will be essential as you contribute to innovative projects that push the boundaries of AI capabilities. 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 brainstorm and develop innovative AI solutions.- Conduct research to stay updated on the latest advancements in AI and machine learning technologies. 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 work with data preprocessing and feature engineering for model training. Additional Information:- The candidate should have minimum 3 years of experience in Large Language Models.- This position is based at our Chennai 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 designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, and may also explore deep learning, neural networks, chatbots, and image processing technologies. Collaboration with cross-functional teams will be essential as you contribute to innovative projects that push the boundaries of AI capabilities. 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 brainstorm and develop innovative AI solutions.- Conduct research to stay updated on the latest advancements in AI and machine learning technologies. 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 work with data preprocessing and feature engineering for model training. Additional Information:- The candidate should have minimum 3 years of experience in Large Language Models.- This position is based at our Chennai office.- A 15 years full time education is required. Qualification 15 years full time education

As a Software Engineer III at JPMorgan Chase within the AI/ML Data Platform team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm s business objectives. Job responsibilities Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture Contributes to software engineering communities of practice and events that explore new and emerging technologies Adds to team culture of diversity, equity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 3+ years applied experience Hands on experience in Python , AWS Terraform Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Overall knowledge of the Software Development Life Cycle Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated knowledge of software applications and technical processes within a technical discipline (e. g. , cloud, artificial intelligence, machine learning, mobile, etc. ) Preferred qualifications, capabilities, and skills AWS Solutions Architect / Developer or any advanced level certification preferred Proficiency across the data lifecycle

You are a strategic thinker passionate about driving solutions in project management. You have found the right team. As a Project Manager I within JPMorgan Chase, you will spend each day driving the successful execution of projects and initiatives across various business units. Leveraging your broad knowledge of project management principles and practices, you will transform strategic plans into actionable programs, ensuring alignment with business strategy and vision. Your role will involve analyzing and interpreting data to inform decision-making, managing dependencies, and mitigating risks. You will also be responsible for fostering cross-functional collaboration, building diverse teams, and effectively delegating tasks to ensure efficient project delivery. Your ability to think strategically, coupled with your developing digital proficiency and customer service skills, will be key in delivering results that have a meaningful impact on our department and stakeholders. Job responsibilities Support the transformation of strategic plans into actionable programs, ensuring alignment with business strategy and vision. Analyze and interpret data to inform decision-making, contributing to the successful execution of projects and initiatives. Foster cross-functional collaboration, coordinating efforts with individuals from different departments to achieve common project goals. Assist in building diverse project teams, leveraging your developing team building and delegation skills to ensure efficient project delivery. Contribute to risk mitigation efforts, identifying potential issues and proposing solutions to ensure project success. Required qualifications, capabilities, and skills Proven skills in managing or leading projects or initiatives from idea to execution, typically demonstrated through 2+ years of relevant experience. Demonstrated ability to transform strategic plans into programs and projects, including initiating, planning, executing, and monitoring. Proven experience in data analytics, with the ability to develop and interpret models to offer continuous insight. Proficiency in using software applications, digital platforms, and other technological tools to solve problems and improve processes. Experience in fostering cross-functional collaboration and building diverse teams with varied experiences, skills, and backgrounds. Preferred qualifications, capabilities, and skills Integrate artificial intelligence solutions to enhance project outcomes and drive data-driven decision-making. Implement automation to streamline project workflows and increase operational efficiency. Foster a culture of innovation by encouraging creative problem-solving and the adoption of new technologies.

You are a strategic thinker passionate about driving solutions in Project manager. You have found the right team. Role Description As an Ops Excellence - Project Manager - Cash Ops - Associate within Cash Ops, you will promote structure and discipline around business governance and projects, supporting the business and governance lead to build strong relationships and become a key partner focusing on the group s strategic agenda, business strategy, planning, communication, and governance. Job Responsibilities Lead initiatives/projects to resolve diverse problems identified by Cash Ops leadership, from initiation through implementation including value added analytics, communication and reporting (scorecards/dashboards and executive level reporting) Implement the project structure and governance required to deliver on the agreed strategy, Management of project plan (scope, stakeholders, risks and issues, timeline, etc). Lead and be the catalyst for change as requirements/priorities shift progress from planning to execution Drives collaborative initiatives with team members and global partners, looking for ways to continually simplify, improve, and add value to existing business processes Drives agenda, content and preparation of business reviews and other executive leadership presentations to articulate strategic direction, execution, and performance tracking for internal stakeholders and functional partners Help drive group s People initiatives focused on Diversity, Equity Inclusion, Recruiting, Manager Excellence, Skills of the Future, and Employee Recognition Involve with initiatives including Data Analytics, Intelligent Automation, Artificial Intelligence, Digital Transformation, Business Taxonomy, etc. Provides a high level of responsiveness to executive ad-hoc requests related to project management, presentation development, and business analysis Manages Strategic Business Communications, including Town Halls, Video messages, yearend messages and organization announcements Required Qualifications, Capabilities, and Skills 9+ years Payments/banking/financial services experience. Prior experience in Project management and business management. Proven Project Management, planning and organizational skills with the ability to prioritize workloads and manage multiple deliverable/projects simultaneously. Ability to challenge organization and understand ways of working; ability to interpret and present complex data. Deep execution experience with a demonstrated ability to meet and enforce deadlines. Organize complex information in a strategic and compelling way, demonstrating strong design acumen and expertise in Excel and PowerPoint techniques. Strong visualization capabilities and experience with BI Analytics tools (Qlik, Tableau, Alteryx, Power BI, etc. ) preferred Strong interpersonal and clear communication skills; lead meetings and facilitate dialogues with multiple stakeholders. Comfortable working with senior managers and global teams to achieve organizational goals Ability to work and think independently and strong initiative Adept at working in matrix organization and dynamic high performance teams Managing strategic and operationally complex projects delivered by cross-functional teams

NVIDIA has continuously reinvented itself. Our invention of the GPU sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. Today, research in artificial intelligence is booming worldwide, which calls for highly scalable and massively parallel computation horsepower that NVIDIA GPUs excel. NVIDIA is a learning machine that constantly evolves by adapting to new opportunities that are hard to solve, that only we can address, and that matter to the world. This is our life s work , to amplify human creativity and intelligence. As an NVIDIAN, you ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join our diverse team and see how you can make a lasting impact on the world! What you ll be doing: Work on structural and functional verification of low power aspects of NVIDIA s family of chips. Come up with test plans and coverage plans of these features. Write test cases, test bench components like assertions and coverage points, and own verification convergence. Collaborate with system level and unit level teams to cover the features well from functional, electrical, performance, and noise aspects. Work with architects, designers, pre- and post-silicon verification teams, synthesis, timing and back-end teams to accomplish your tasks. Validate the effectiveness of the low power features on silicon. What we need to see: BS/MS or equivalent experience with specialization related to Low Power techniques and Verification. 2+ years of experience. Fundamental understanding of power basics including transistor-level leakage/dynamic characteristics of VLSI circuits. Knowledge of power intent formats - UPF/CPF. Experience in Static Power check - tools like VCLP/MVRC or similar. Hands-on knowledge in Power aware dynamic verification - NLP/MVSIM or similar tools. Experience in design and verification tools (VCS or equivalent simulation tools, Verdi or other debug tools). Familiarity with low power design techniques such as multi VT, Clock gating, Power gating, and Dynamic Voltage-Frequency Scaling (DVFS). Ways to stand out from the crowd: Good software programming skills. Python/Perl/C++ preferred. Confident debugging and problem-solving skills. Good communication skills and ability desire to work as a great teammate. With competitive salaries and a generous benefits package, Nvidia is widely considered to be one of the most desirable employers in the world. #LI-Hybrid

Identify upsell/cross-sell opportunities, ensure timely, quality project delivery, manage client expectations, reduce revenue leakage, drive renewals, track project health, advocate client needs, and support analytics-driven business solutions.

As a System Software Development Lead Engineer (AI you will be responsible for designing, building and exploitation of the unique AI h/w acceleration features on IBM Power Processor (PPC). Responsibilities include : Understanding low level code in the Linux operating system that interacts directly with accelerator hardware. Design and develop software to enable standard AI open source frameworks like PyTorch, pytorch profiler, libkineto, AI and ML technologies. Design and Developing Userspace drivers for accelerators. With focus on development, you will be responsible for delivery and working and support of existing AI accelerator stack such as adding newer features to accelerator stack and support with customer bugs. Required education Bachelor's Degree Required technical and professional expertise 12-15 years of Software Development experience in System Software domain. Strong experience in design and development of Linux drivers and related concepts with 5+ years of hands on experience. Strong programming experience in C++, Experienced in C,Python. Proven expertise in debugging and problem solving with expertise in problem determination methods and debugging tools such as gdb. Good understanding of machine learning and AI concepts.Experience in source code repository systems such as git, scripting languages Python, working with containers (docker/podman) Highly motivated Individual with ability to drive work in a fast pace dynamic global development team.Strong verbal and written communication skills. Preferred technical and professional experience Knowledge in hardware subsystems such as PCIe, Programming models such as VFIO. Strong scripting knowledge and Python skills is an added advantage. Experience working with opensource communities.

Skill required: Tech for Operations - Artificial Intelligence (AI) Designation: Data Architecture Manager Qualifications: Any Graduation Years of Experience: 13 to 18 years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do You will be part of the Technology for Operations team that acts as a trusted advisor and partner to Accenture Operations. The team provides innovative and secure technologies to help clients build an intelligent operating model, driving exceptional results. We work closely with the sales, offering and delivery teams to identify and build innovative solutions. The Tech For Operations (TFO) team provides innovative and secure technologies to help clients build an intelligent operating model, driving exceptional results. Works closely with the sales, offering and delivery teams to identify and build innovative solutions. Major sub deals include AHO(Application Hosting Operations), ISMT (Infrastructure Management), Intelligent Automation:As a Data & AI Technology Manager specializing in .NET, Azure, and GCP at Accenture India, you will lead cross-functional teams to design and implement innovative data solutions that drive business transformation for our clients. Your expertise in cloud services, data management, HR technologies, and AI-driven solutions will be pivotal in delivering high-quality projects aligned with client objectives. Additionally, you will leverage your understanding of key Talent and HR domains to design data-driven workforce solutions that enhance employee experience, optimize talent strategies, and drive business growthKey Responsibilities:Project Leadership:Oversee the end-to-end delivery of data engineering projects, ensuring solutions are scalable, secure, and meet performance standards.Technical Expertise:Utilize deep knowledge of .NET frameworks, ACloud & Containers:Leverage expertise in containerization technologies such as Kubernetes and Docker to optimize cloud-based deployments and ensure high availability.Client Engagement:Collaborate with clients to gather requirements, provide strategic insights, and translate business needs into technical solutions.Team Management:Lead and mentor a team of data engineers and developers, fostering a culture of continuous learning and innovation.Quality Assurance:Implement best practices in data management, including data quality, governance, and security protocols.Innovation and Strategy:Stay abreast of industry trends and emerging technologies to drive the adoption of cutting-edge data solutions and maintain a competitive edge.Enterprise Architecture:Review and integrate all application requirements, including functional, security, integration, pe What are we looking for ASP.NET MVCMicrosoft Azure DevOpsAdaptable and flexibleAbility to perform under pressureProblem-solving skillsDetail orientationAbility to establish strong client relationship Roles and Responsibilities: In this role you are required to identify and assess complex problems for area of responsibility The person would create solutions in situations in which analysis requires an in-depth evaluation of variable factors Requires adherence to strategic direction set by senior management when establishing near-term goals Interaction of the individual is with senior management at a client and/or within Accenture, involving matters that may require acceptance of an alternate approach Some latitude in decision-making in involved you will act independently to determine methods and procedures on new assignments Decisions individual at this role makes have a major day to day impact on area of responsibility The person manages large - medium sized teams and/or work efforts (if in an individual contributor role) at a client or within Accenture Please note that this role may require you to work in rotational shifts Qualification Any Graduation

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