1862 Keras Jobs - Page 23

At EY, youll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And were counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY-Consulting AI Enabled Automation Developer Staff -Python We are looking to hire people with strong AI Enabled Automation skills and who are interested in learning new technologies in the process automation space Azure . GenAI , large Lang Models(LLM). RAG ,Vector DB , Graph DB ,Python At EY, youll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And were counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Responsibilities Development and implementation of AI enabled automation solutions, ensuring alignment with business objectives. Design and deploy Proof of Concepts (POCs) and Points of View (POVs) across various industry verticals, demonstrating the potential of AI enabled automation applications. Ensure seamless integration of optimized solutions into the overall product or system Collaborate with cross-functional teams to understand requirements, to integrate solutions into cloud environments (Azure, GCP, AWS, etc.) and ensure it aligns with business goals and user needs Educate team on best practices and keep updated on the latest tech advancements to bring innovative solutions to the project Requirements 2 to 3 years of relevant professional experience Expertise in Python programming including experience with Al/machine learning frameworks like TensorFlow, PyTorch, Keras, Langchain, MLflow, Promtflow(Good to have) 1-2 years of working knowledge of NLP and LLMs like BERT, GPT-3/4, T5, etc. Knowledge of how these models work and how to fine-tune them Expertise in prompt engineering principles and techniques like chain of thought, in-context learning, tree of thought, etc. Knowledge of retrieval augmented generation (RAG) Knowledge of Knowledge Graph RAG Strong analytical and problem-solving skills with the ability to think critically and troubleshoot issues Excellent communication skills, both verbal and written in English What we look for A Team of people with commercial acumen, technical experience and enthusiasm to learn new things in this fast-moving environment An opportunity to be a part of market-leading, multi-disciplinary team of 1400 + professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY Advisory practices globally with leading businesses across a range of industries What working at EY offers At EY, were dedicated to helping our clients, from startups to Fortune 500 companies and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way thats right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.,

Company Description WonderBiz Technologies Pvt. is dedicated to leveraging technology to help global companies improve operational efficiency and reduce costs. With over 8 years in business, we have developed more than 50 products for 30+ international customers, including Silicon Valley startups and Fortune 100 & 500 companies. Our growth-driven culture provides opportunities to work with a highly skilled development team, led by industry veterans with 20+ years of experience. We invest in our employees" growth to ensure top-notch service delivery to our clients. Role Description This is a full-time, on-site role for a Data Scientist located in Thane. The Data Scientist will be responsible for analyzing large datasets to extract meaningful insights, developing data models, performing statistical analyses, and creating data visualizations. The role will involve collaborating with cross-functional teams to understand business requirements and delivering data-driven solutions to meet those needs. Experience: 5-10 years Location: Thane - On site WFO Qualifications We are looking for a Machine Learning Specialist that will be responsible to do analysis and solving of increasingly complex problems proposing, reviewing, maintaining, and delivering detailed designs and technical solutions for our Product development projects. This role provides opportunities to work on a wide variety of projects covering areas including Edge and Cloud computing, developing distributed and fault tolerant systems, containerization etc. You should also have an in-depth understanding of the underlying technologies, and architectures work in 2020. Strong programming skills with proficiency in at least one programming language (preferred Python). Understanding of basic full-stack development concepts. Applying algorithms to generate accurate predictions, Resolving data set problems, Deep knowledge of math, probability, statistics and algorithms, proven experience for GenAI implementations in at least 1 project. Proficiency in data analysis techniques and tools. Working experience in Experience in implementing LLMs tools Expertise in SciPy for scientific and technical computing. Knowledge and experience in deep learning, TensorFlow, NLP and frameworks. Proficiency in at least one Database Management System (DBMS). Proven experience as a Machine Learning Engineer or similar role Understanding of data structures, data modeling and software architecture Deep knowledge of math, probability, statistics and algorithms Ability to write robust code in Python and R Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn) Excellent communication skills Ability to work in a team Outstanding analytical and problem-solving skill. Interested candidate can share their updated CV on manasi.deshmukh@wonderbiz.in,

Job Title: Machine Learning Engineer Location: Bhubaneswar Experience: 4-8 Years Job Description: We are looking for a talented Machine Learning Engineer with 4-8 years of experience to join our team. The ideal candidate will have a strong background in designing, developing, and deploying machine learning models and algorithms to solve complex business problems. You will be responsible for analyzing large datasets, identifying patterns, and creating predictive models to drive business insights and optimization. Key Responsibilities: Develop, implement, and optimize machine learning algorithms to solve business problems. Analyze large datasets to extract valuable insights and patterns for decision-making. Collaborate with cross-functional teams to integrate machine learning solutions into business processes. Conduct model training, evaluation, and fine-tuning to improve accuracy and performance. Stay up-to-date with the latest trends and advancements in machine learning and AI. Must-Have Skills: Strong experience in machine learning frameworks and libraries (TensorFlow, Scikit-learn, Keras, etc.). Proficiency in programming languages like Python or R. Hands-on experience in data preprocessing, feature engineering, and model selection. Knowledge of algorithms for classification, regression, and clustering. Strong understanding of statistics, mathematics, and data modeling. If you are passionate about machine learning and eager to apply your skills to impactful projects, apply now to join our growing team! Job Type: Full-time Schedule: Day shift Morning shift Work Location: In person,

Level- M (9+ years experience) Location- Preferred- Chennai, ok with Bangalore & Hyderabad also if the candidate is exceptionally good Notice Period- Immediate-30 Days only Key Responsibilities: Design and Development- Technical Leadership Lead a team of full stack developers to design, develop, and deploy full-stack applications using a range of technologies such as React, Angular, Vue.js, Node.js, Python, Django, Flask, etc. Provide technical guidance and oversight to ensure high-quality, scalable, and maintainable code. Integrate GenAI models and algorithms into existing applications to enhance functionality and user experience. Collaborate with data scientists and engineers to develop and deploy machine learning models and GenAI-powered features. GenAI Development Develop and train GenAI models using popular frameworks such as TensorFlow, PyTorch, or Keras. Integrate GenAI models with front-end and back-end applications to create seamless user experiences. Optimize and fine-tune GenAI models for performance, accuracy, and scalability. Front-end Development Develop responsive, interactive, and user-friendly front-end applications using HTML, CSS, JavaScript, and popular front-end frameworks. Ensure cross-browser compatibility and optimize front-end performance. Back-end Development Design and develop scalable, secure, and efficient back-end applications using Node.js, Python, or other programming languages. Integrate with databases, APIs, and third-party services to support application functionality. Testing and Deployment Write unit tests, integration tests, and end-to-end tests to ensure application quality and reliability. Collaborate with DevOps teams to deploy applications to cloud platforms such as Azure or Google Cloud. Collaboration and Communication Work closely with cross-functional teams, including data science, product, and design teams. Communicate technical concepts and trade-offs to non-technical stakeholders. Requirements: Technical Skills 10+ years of experience in full-stack development with a focus on JavaScript, Python, or other programming languages. Experience with GenAI Azure Open AI and frameworks such as TensorFlow, PyTorch, or Keras. Familiarity with front-end frameworks such as React, Angular, or Vue.js. Experience with back-end frameworks such as Node.js, Django, or Flask. Knowledge of database management systems such as MySQL, MongoDB. GenAI Skills Experience with GenAI models /Transformers. Familiarity with GenAI applications such as image generation, language translation, or text summarization, extraction. Knowledge of GenAI ethics and bias mitigation techniques. Soft Skills Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Ability to work in a fast-paced environment and adapt to changing requirements. Nice to Have: Cloud Experience: Experience with cloud platforms such as AWS, Azure, or Google Cloud. Familiarity with containerization using Docker or Kubernetes. DevOps Experience: Experience with DevOps tools such as Jenkins, GitLab CI/CD. Familiarity with agile development methodologies such as Scrum or Kanban. Data Science Experience: Experience with data science tools such as Jupyter Notebooks, pandas, or NumPy. Familiarity with data visualization libraries.,

This role is Hybrid in Bengaluru, currently remote with monthly in-person meetups, and will transition to a more regular in-office schedule once our new office opens. About Galileo Galileo is the leading platform for Gen AI evaluation and observability, with a mission to democratize building safe, reliable, and robust applications in the new era of AI powered software development. Our foundation is built on pioneering the early technology behind the world's most ubiquitous AI applications including Apple's Siri, Google Brain, and Google Speech. We firmly believe that AI developers require meticulously crafted, proprietary research-driven tools to create trustworthy and high-quality generative AI applications that will revolutionize our work and lifestyle. Galileo addresses the complexities inherent in experimenting with, evaluating, and monitoring GenAI applications, optimizing the development process for both individual developers and teams by offering a comprehensive platform that spans the full AI development lifecycle. Galileo bridges critical gaps, significantly enhancing developers" ability to refine and deploy reliable and precise GenAI applications. Since its inception, Galileo has rapidly gained traction, serving Fortune 100 banks, Fortune 50 telecom companies, as well as AI teams at prominent organizations such as Reddit and Headspace Health, among dozens of others. Galileo has AI research at its core, having started out of the Stanford AI Lab, it is now a Series B business, backed by tier 1 investors such as Battery Ventures, Scale Venture Partners, Databricks Ventures, and others with $68M in total funding, with offices strategically located in New York and San Francisco, and is growing rapidly. Role Description As an Applied Data Scientist at Galileo, you will be at the forefront of deploying and customizing advanced generative AI technologies for a diverse set of customers. Your role involves a dynamic combination of technical expertise and customer engagement, where you will work closely with customers to understand their unique AI challenges and deliver tailored solutions. Leveraging cutting-edge tools like retrieval augmented generation (RAG), large language models (LLM), and Galileo's proprietary technologies, you will develop, optimize, and integrate AI systems that drive significant improvements in customer workflows and decision-making processes. In this role, you will also play a critical part in the iterative improvement of our technologies through continuous feedback and performance monitoring. You will provide expert-level support, troubleshoot and resolve issues, and conduct training sessions to empower users with the tools and knowledge needed to maximize the benefits of Galileo's solutions. Your contributions will directly influence product strategy and development, ensuring that our solutions remain at the leading edge of industry standards and client expectations. Main Responsibilities - Collaborate Closely with Customers: Engage directly with Galileo's customers to deliver solutions that address their specific generative AI challenges. This involves understanding their unique needs and proposing tailored applications of Galileo's technologies. - Implement Advanced ML Techniques: Work hands-on with state-of-the-art machine learning technologies, including retrieval augmented generation (RAG), agents, tools, and other cutting-edge LLM technologies, to enhance customer applications. - Develop and Optimize LLMs: Build, train, and refine large language models such as Llama and Mistral tailored for Galileo's users. Utilize the Galileo platform to enhance the performance and efficiency of these models, ensuring they meet specific customer requirements. - Continuous Feedback: Establish a continuous improvement loop by gathering user feedback, monitoring system performance, and making necessary adjustments to models and solutions. This ensures the solutions remain effective and aligned with user needs. - Integration and Workflow Optimization: Assist in the seamless integration of Galileo technologies into customer workflows, ensuring that the solutions enhance operational efficiency and are easy to adopt. - Support and Troubleshooting: Provide expert technical support to customers, helping to troubleshoot issues and optimize the performance of deployed solutions. This includes responding to inquiries, diagnosing problems, and offering immediate solutions or workarounds. - Educate and Train Users: Conduct training sessions and workshops for customers to help them understand and effectively use Galileo's products. This also involves creating documentation and resources that facilitate easier adoption and usage of the platform. - Contribute to Product Strategy: Provide insights and feedback from customer experiences to the product development teams to inform future product enhancements and new features. This role acts as a bridge between customer needs and the technical capabilities of Galileo. Minimum Qualifications - Education: Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field. - Experience: At least 2 years of relevant work experience in utilizing deep learning frameworks such as PyTorch, TensorFlow, or Keras to address product or business challenges. - Technical Skills: Proficiency in statistical analysis and data science methodologies using Python, R, or SQL. Demonstrable experience in building and optimizing machine learning models. Preferred Qualifications - Advanced Degree: Master's or Ph.D. in Data Science, Machine Learning, Computer Science, or a related field. - Specialized Experience: Experience with large language models (LLMs) and technologies such as retrieval augmented generation (RAG) or similar ML models in production environments. - Industry Knowledge: Prior experience in implementing AI solutions in real-world applications, particularly in sectors relevant to Galileo's client base. - Project Management: Strong project management skills with a proven track record of leading projects from conception to implementation. - Communication Skills: Excellent communication and interpersonal skills, capable of explaining complex technical details to non-technical stakeholders and conducting effective training sessions. Why Galileo Join a seasoned founding team that has previously led product and engineering teams from 0 to $100M+ in revenue and from 0 to 1B+ users globally We obsess over our team's culture driven by inclusivity, empathy, and curiosity We invest in our team's development and happiness because our employees are the keys to our success and ensuring happy customers towards that end, we offer: * Unlimited PTO Employee Stock Participation Plan Commuter Benefits Mental and Physical Wellness Company Paid Lunches Headquarters Office in San Francisco and a hub in New York *Build the company with the Founders*,

Who We Are Applied Materials is the global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips – the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world – like AI and IoT. If you want to work beyond the cutting-edge, continuously pushing the boundaries of science and engineering to make possible the next generations of technology, join us to Make Possible® a Better Future. What We Offer Location: Bangalore,IND, Chennai,IND At Applied, we prioritize the well-being of you and your family and encourage you to bring your best self to work. Your happiness, health, and resiliency are at the core of our benefits and wellness programs. Our robust total rewards package makes it easier to take care of your whole self and your whole family. We’re committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits. You’ll also benefit from a supportive work culture that encourages you to learn, develop and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible—while learning every day in a supportive leading global company. Visit our Careers website to learn more about careers at Applied. About Applied Applied Materials is the leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. Our expertise in modifying materials at atomic levels and on an industrial scale enables customers to transform possibilities into reality. At Applied Materials, our innovations make possible the technology shaping the future. What You’ll Do You will be responsible leading research, design, development and implementation of algorithmic modules. You will perform algorithmic concept and feasibility for image processing algorithms, including problem analysis, data gathering, literature review, concept selection and evaluation and implementation constrains. Your Key Responsibilities Will Be Demonstrates understanding of computer vision and machine learning / deep learning algorithms for image analysis, pattern recognition, metrology, and object detection. Prototyping algorithms approaches to solve complex problems and drive integration of new algo solutions to product. Algorithm optimization to reduce computational cost and influence hardware requirements. Experience with machine learning frameworks such as TensorFlow, PyTorch, or Keras, especially in the context of image analysis. Knowledge of GPU programming using CUDA or OpenCL. You will be a great fit if you have Strong background in computer vision, image processing, and DL technology Expertise in C/C++, Python, MATLAB and working experience with Tensor Flow, Pytorch or similar framework Academic background in Computer Vision; Deep Learning, Machine Learning, or Artificial Intelligence. Experience working in Semiconductor industry. Excellent analytical, problem-solving, and organizational skills, along with strong interpersonal communication skills. Experience in managing teams, sets organizational priorities and allocates resources. Ph.D. or Master’s in computer science/engineering or similar fields with 5+ years of experience Education Master’s / Research background- Qualification preferred – Image/ Signal Processing, Computer Vison, Deep Learning Years Of Experience 5- 10 Years Applied Materials is committed to diversity in its workforce including Equal Employment Opportunity for Minorities, Females, Protected Veterans and Individuals with Disabilities. Additional Information Time Type: Full time Employee Type Assignee / Regular Travel Yes, 10% of the Time Relocation Eligible: Yes Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.

Introduction In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology. Your Role And Responsibilities As an Associate Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders. In your role, you may be responsible for: Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects Writing programs to cleanse and integrate data in an efficient and reusable manner Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions. Evaluating modelling results and communicating the results to technical and non-technical audiences. Preferred Education Master's Degree Required Technical And Professional Expertise Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides Preferred Technical And Professional Experience Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms Experience and working knowledge in COBOL & JAVA would be preferred Experience in python and pyspark will be added advantage

Job Summary We are seeking a highly skilled and mathematically grounded Machine Learning Engineer to join our AI team. The ideal candidate will have 5+ years of ML experience with a deep understanding of machine learning algorithms, statistical modeling, and optimization techniques, along with hands-on experience in building scalable ML systems using modern frameworks and tools. ________________________________________ Key Responsibilities Design, develop, and deploy machine learning models for real-world applications. Collaborate with data scientists, software engineers, and product teams to integrate ML solutions into production systems. Understand the mathematics behind machine learning algorithms to effectively implement and optimize them. Conduct mathematical analysis of algorithms to ensure robustness, efficiency, and scalability. Optimize model performance through hyperparameter tuning, feature engineering, and algorithmic improvements. Stay updated with the latest research in machine learning and apply relevant findings to ongoing projects. ________________________________________ Required Qualifications Mathematics & Theoretical Foundations Strong foundation in Linear Algebra (e.g., matrix operations, eigenvalues, SVD). Proficiency in Probability and Statistics (e.g., Bayesian inference, hypothesis testing, distributions). Solid understanding of Calculus (e.g., gradients, partial derivatives, optimization). Knowledge of Numerical Methods and Convex Optimization. Familiarity with Information Theory, Graph Theory, or Statistical Learning Theory is a plus. Programming & Software Skills Proficient in Python (preferred), with experience in libraries such as: o NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn Experience with deep learning frameworks: o TensorFlow, PyTorch, Keras, or JAX Familiarity with ML Ops tools: o MLflow, Kubeflow, Airflow, Docker, Kubernetes Experience with cloud platforms (AWS, GCP, Azure) for model deployment. Machine Learning Expertise Hands-on experience with supervised, unsupervised, and reinforcement learning. Understanding of model evaluation metrics and validation techniques. Experience with large-scale data processing (e.g., Spark, Dask) is a plus. ________________________________________ Preferred Qualifications Masters or Ph.D. in Computer Science, Mathematics, Statistics, or a related field. Publications or contributions to open-source ML projects. Experience with LLMs, transformers, or generative models. Remote (Chennai - possible to travel Chennai for meetings)

About The Role 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, 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.- Facilitate knowledge sharing and mentorship 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 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

About The Role 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 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.- Good To Have Skills: Experience with cloud-based AI services and tools.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Experience in developing and deploying chatbots and conversational agents.- Familiarity with image processing techniques and 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

About The Role 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 the integration of generative AI models into various projects, contributing to innovative solutions that may encompass deep learning, neural networks, chatbots, and image processing technologies. Your role will require a proactive approach to problem-solving and a commitment to continuous learning in the rapidly evolving field of AI and machine learning. 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.- Assist in the design and implementation of AI-driven applications and systems.- Collaborate with team members to troubleshoot and resolve technical challenges. 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 deploying AI applications.- 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 Pune office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role 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 : Data Science 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 existing systems and workflows, driving efficiency and enhancing user experiences. 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 sessions to enhance team capabilities.- Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Science.- Strong analytical skills to interpret complex data sets.- Experience with machine learning frameworks such as TensorFlow or PyTorch.- Familiarity with cloud platforms like AWS, Azure, or Google Cloud.- Ability to develop and deploy AI models in production environments. Additional Information:- The candidate should have minimum 5 years of experience in Data Science.- This position is based in Pune.- A 15 years full time education is required. Qualification 15 years full time education

About The Role 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 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 existing systems and workflows, driving efficiency and enhancing user experiences. 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 implement new technologies to improve system performance and efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning.- Strong understanding of various machine learning algorithms and their applications.- Experience with cloud-based AI services and deployment strategies.- Familiarity with programming languages such as Python or R for data analysis and model development.- Knowledge of data preprocessing techniques to ensure high-quality input for machine learning models. Additional Information:- The candidate should have minimum 7.5 years of experience in Machine Learning.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role 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 12 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 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 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.- Strong understanding of cloud computing platforms and services.- 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 Pune office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Project Role : Data Science Practitioner Project Role Description : Formulating, design and deliver AI/ML-based decision-making frameworks and models for business outcomes. Measure and justify AI/ML based solution values. Must have skills : Computer Vision Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Science Practitioner, you will be engaged in formulating, designing, and delivering AI and machine learning-based decision-making frameworks and models that drive business outcomes. Your typical day will involve collaborating with various teams to measure and justify the value of AI and machine learning solutions, ensuring that they align with organizational goals and deliver tangible results. You will also be responsible for analyzing complex data sets, deriving insights, and presenting findings to stakeholders to support informed decision-making processes. 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 best practices among team members to enhance overall team performance.- Develop and implement strategies to optimize AI and machine learning models for improved efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in Computer Vision.- Strong understanding of image processing techniques and algorithms.- Experience with deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with data augmentation and preprocessing methods for computer vision tasks.- Ability to implement and optimize convolutional neural networks for various applications. Additional Information:- The candidate should have minimum 12 years of experience in Computer Vision.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role 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 the integration of generative AI models into various projects, contributing to innovative solutions that enhance user experiences and operational efficiency. Your role will require a blend of technical expertise and creative problem-solving to address complex challenges in the AI landscape. 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 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 Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role 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 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :These roles have many overlapping skills with GENAI Engineers and architects. Description may scaleup/scale down based on expected seniority. Roles & Responsibilities:-Implement generative AI models, identify insights that can be used to drive business decisions. Work closely with multi-functional teams to understand business problems, develop hypotheses, and test those hypotheses with data, collaborating with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.-Conducting research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services.-Optimizing existing generative AI models for improved performance, scalability, and efficiency.-Ensure data quality and accuracy-Leading the design and development of prompt engineering strategies and techniques to optimize the performance and output of our GenAI models.-Implementing cutting-edge NLP techniques and prompt engineering methodologies to enhance the capabilities and efficiency of our GenAI models.-Determining the most effective prompt generation processes and approaches to drive innovation and excellence in the field of AI technology, collaborating with AI researchers and developers-Experience working with cloud based platforms (exampleAWS, Azure or related)-Strong problem-solving and analytical skills-Proficiency in handling various data formats and sources through Omni Channel for Speech and voice applications, part of conversational AI-Prior statistical modelling experience-Demonstrable experience with deep learning algorithms and neural networks-Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders.-Contributing to the establishment of best practices and standards for generative AI development within the organization. Professional & Technical Skills: -Must have solid experience developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs.-Must be proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras.-Must have strong knowledge of data structures, algorithms, and software engineering principles.-Must be familiar with cloud-based platforms and services, such as AWS, GCP, or Azure.-Need to have experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face.-Must be familiar with data visualization tools and libraries, such as Matplotlib, Seaborn, or Plotly.-Need to have knowledge of software development methodologies, such as Agile or Scrum.-Possess excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions. Additional Information:-Must have a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. is highly desirable.-strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience.-You possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment. Additional Information:- The candidate should have a minimum of 5 years of real time experience in Machine Learning.- A 15 years full time education is required. Qualification 15 years full time education

About The Role 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 as you contribute to the overall success of projects and drive advancements in AI technology. 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.- Mentor junior professionals and assist in their development.- Continuously evaluate and improve existing AI models and systems. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning.- Strong understanding of various machine learning algorithms and their applications.- Experience with cloud-based AI services and deployment strategies.- Familiarity with data preprocessing and feature engineering techniques.- Ability to work with frameworks such as TensorFlow or PyTorch. Additional Information:- The candidate should have minimum 15 years of experience in Machine Learning.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role 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 : Product Development Management Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production-ready quality. You will apply GenAI models as part of the solution, including deep learning, neural networks, chatbots, and image processing. 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.- Lead the implementation of AI/ML models.- Conduct research on emerging AI technologies.- Optimize AI algorithms for performance and scalability. Professional & Technical Skills: - Must To Have Skills: Proficiency in Product Development Management.- Strong understanding of AI and ML concepts.- Experience with cloud AI services.- Knowledge of deep learning and neural networks.- Hands-on experience with chatbots and image processing. Additional Information:- The candidate should have a minimum of 12 years of experience in Product Development Management.- This position is based at our Bengaluru office.- A 15 years full-time education is required. Qualification 15 years full time education

About The Role 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 the integration of generative AI models into various projects, contributing to innovative solutions that enhance user experiences and operational efficiency. Your role will require a blend of technical expertise and creative problem-solving to address complex challenges in the field of artificial intelligence and machine learning. 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 appropriate AI models to meet those needs. 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 deploying AI applications.- Familiarity with data preprocessing and feature engineering techniques.- Knowledge of software development best practices and version control systems. Additional Information:- The candidate should have minimum 3 years of experience in Large Language Models.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role 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 : NoSQL 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 develop applications and systems utilizing AI tools, Cloud AI services, with a proper cloud or on-prem application pipeline of production-ready quality. You will apply GenAI models as part of the solution, including deep learning, neural networks, chatbots, and image processing. 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.- Lead the implementation of AI/ML models.- Conduct research on emerging AI technologies.- Optimize AI algorithms for performance and scalability. Professional & Technical Skills: - Must To Have Skills: Proficiency in NoSQL.- Strong understanding of AI and ML concepts.- Experience with cloud AI services like AWS SageMaker or Google AI Platform.- Knowledge of deep learning frameworks such as TensorFlow or PyTorch.- Hands-on experience in developing AI applications.- Familiarity with chatbot development and image processing. Additional Information:- The candidate should have a minimum of 5 years of experience in NoSQL.- This position is based at our Bengaluru office.- A 15 years full-time education is required. Qualification 15 years full time education

About The Role 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 : Value Architecture & Realization Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production-ready quality. You will apply GenAI models as part of the solution, including deep learning, neural networks, chatbots, and image processing. 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.- Lead the implementation of AI/ML models.- Research and experiment with new AI technologies.- Contribute to the development of AI strategies. Professional & Technical Skills: - Must To Have Skills: Proficiency in Value Architecture & Realization.- Strong understanding of AI and ML concepts.- Experience with cloud AI services.- Knowledge of deep learning and neural networks.- Hands-on experience with chatbots and image processing. Additional Information:- The candidate should have a minimum of 12 years of experience in Value Architecture & Realization.- This position is based at our Bengaluru office.- A 15 years full-time education is required. Qualification 15 years full time education

About The Role 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 : Computer Vision 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 on various aspects of AI, including deep learning, neural networks, and image processing, while also integrating generative AI models into your projects. Collaboration with cross-functional teams will be essential as you contribute to innovative solutions that enhance the capabilities of AI technologies. 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 professionals to foster their growth and development.- Continuously evaluate and improve existing processes to enhance team efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Computer Vision.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Experience with image processing techniques and algorithms.- Familiarity with cloud platforms and services for deploying AI solutions.- Knowledge of software development best practices and version control systems. Additional Information:- The candidate should have minimum 7.5 years of experience in Computer Vision.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Responsibilities: Implement computer vision applications using OpenCV & object detection techniques, segmentation , Train and fine tune models Develop machine learning models with Python, Docker, AWS SageMaker & IAM. Work from home

Position Title: AI Specialist - Impact Based Forecasting Due to the operational nature of this role, preference will be given toapplicants who are currently based in Chennai, India and possess valid work authorization. RIMES is committed to diversity and equal opportunity in employment. Open Period: 11 July 2025 – 10 August 2025 Background: The Regional Integrated Multi-Hazard Early Warning System for Africa and Asia (RIMES) is an international and intergovernmental institution, owned and governed by its Member States, for the generation, application, and communication of multi-hazard early warning information. RIMES was formed in the aftermath of the 2004 Indian Ocean tsunami, as a collective response by countries in Africa and Asia to establish a regional early warning system within a multi-hazard framework, to strengthen preparedness and response to trans-boundary hazards. RIMES was formally established on 30 April 2009 and registered with the United Nations on 1 July 2009. It operates from its regional early warning center located at the Asian Institute of Technology (AIT) campus in Pathumthani, Thailand. Position Description: The AI Specialist – Impact-Based Forecasting design and implement AI-based solutions to support predictive analytics and intelligent decision support across sectors (e.g., climate services, disaster management /The AI Specialist will play a central role in building robust data pipelines, integrating multi-source datasets, and enabling real-time data-driven decision-making by stakeholders. The role involves drawing from and contribute to multi-disciplinary datasets and working closely with a multi-disciplinary team within RIMES for generating IBF DSS, developing contingency plans, automating monitoring systems, contributing to Post-Disaster Needs Assessments (PDNA), and applying AI/ML techniques for risk reduction. This position requires a strong understanding of meteorological, hydrological, vulnerability and exposure patterns and translates data into actionable insights for disaster preparedness and resilience planning. The position reports to the Meteorology and Disaster Risk Modeling Specialist and India Regional Program Adviser, overseeing the AI Specialist – Impact-Based Forecasting’s work or as assigned by RIMES’ institutional structure and in close coordination with the Systems Research and Development Specialist and Project Manager. Duty station: RIMES Project Office Chennai, India (or other locations as per project requirements). Type of Contract: Full-time Project-Based contract Skills and Qualifications: Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. Experience: Minimum of 3 years of experience in data engineering, analytics, or IT systems for disaster management, meteorology, or climate services. Experience in multi-stakeholder projects and facilitating capacity-building programs. Knowledge Skills and Abilities: Machine Learning Fundamentals: Deep understanding of various ML algorithms, including supervised, unsupervised, and reinforcement learning. This includes regression, classification, clustering, time series analysis, anomaly detection, etc. Deep Learning: Proficiency with deep learning architectures (e.g., CNNs, RNNs, LSTMs, Transformers) and frameworks (TensorFlow, PyTorch, Keras). Ability to design, train, and optimize complex neural networks. Strong programming skills in Python, with extensive libraries (NumPy, Pandas, SciPy, Scikit-learn, Matplotlib, Seaborn, GeoPandas). Familiarity with AI tools: such as PyTorch, TensorFlow, Keras, MLflow, etc. Data Visualization: Ability to create clear, compelling visualizations to communicate complex data and model outputs. Familiarity with early warning systems, disaster risk frameworks, and sector-specific IBF requirements is a strong plus. Proficiency in technical documentation and user training. Personal Qualities: Excellent interpersonal skills; team-orientated work style; pleasant personality. Strong desire to learn and undertake new challenges. Creative problem-solver; willing to work hard. Analytical thinker with problem-solving skills. Strong attention to detail and ability to work under pressure. Self-motivated, adaptable, and capable of working in multicultural and multidisciplinary environments. Strong communication skills and the ability to coordinate with stakeholders. Major Duties and Responsibilities: Impact Based Forecasting Collaborate with other members of the IT team, meteorologists, hydrologists, GIS specialists, and disaster risk management experts within RIMES to ensure the development of IBF DSS. Develop AI models (e.g., NLP, computer vision, reinforcement learning) Integrate models into applications and dashboards. Ensure model explainability and ethical compliance. Assist the RIMES Team in applying AI/ML models to forecast hazards and project likely impacts based on exposure and vulnerability indices. Work with forecasters and domain experts to automate the generation of impact-based products. Ensure data security, backup, and compliance with data governance and interoperability standards. Train national counterparts on the use and management of the AL, including analytics dashboards. Collaborate with GIS experts, hydromet agencies, and emergency response teams for integrated service delivery. Technical documentation on data architecture, models, and systems. Capacity Building and Stakeholder Engagement Facilitate training programs for team members and stakeholders, focusing on RIMES policies, regulations, and the use of forecasting tools. Develop and implement a self-training plan to enhance personal expertise, obtaining a trainer certificate as required. Prepare and implement training programs to enhance team capacity and submit training outcome reports. Reporting Prepare technical reports, progress updates, and outreach materials for stakeholders. Maintain comprehensive project documentation, including strategies, milestones, and outcomes. Capacity-building workshop materials and training reports. Other Responsibilities Utilize AI skills to assist in system implementation plans and decision support system (DSS) development. Utilize skills to assist in system implementation plans and decision support system (DSS) development. Assist in 24/7 operational readiness for client early warning systems such as SOCs, with backup support from RIMES Headquarters. Undertake additional tasks as assigned by the immediate supervisor or HR manager based on recommendations from RIMES technical team members and organizational needs. The above responsibilities are illustrative and not exhaustive. Undertake any other relevant tasks that could be needed from time to time. Contract Duration The contract will initially be for one year and may be extended based on the satisfactory completion of a 180-day probationary period and subsequent annual performance reviews. How to Apply: Interested candidates should send your application letter, resume, salary expectation and 2 references to rimeshra@rimes.int by midnight of 10 August 2025, Bangkok time. Please state “AI Specialist—Impact-Based Forecasting: Your Name “the Subject line of the email. Only short-listed applicants will be contacted. Ms. Dusadee Padungkul Head-Department of Operational Support Regional Integrated Multi-Hazard Early Warning System AIT Campus, 58 Moo 9 Paholyothin Rd., Klong 1, Klong Luang, Pathumthani 12120 Thailand. RIMES promotes diversity and inclusion in the workplace. Well-qualified applicants particularly women are encouraged to apply. Job Type: Full-time Pay: ₹50,000.00 - ₹100,000.00 per month Schedule: Monday to Friday Ability to commute/relocate: Chepauk, Chennai, Tamil Nadu: Reliably commute or planning to relocate before starting work (Preferred) Application Question(s): Kindly specify your salary expectation per month. Do you have any experience or interest in working with international or non-profit organizations? Please explain. Education: Bachelor's (Required) Experience: working with international organization: 1 year (Preferred) Data engineering: 3 years (Required) Data analytics: 3 years (Required) Disaster management: 3 years (Preferred) Language: English (Required) Location: Chepauk, Chennai, Tamil Nadu (Required)