115 Julia Jobs - Page 2

Programming: Python, R, Julia, SQL - Frameworks: TensorFlow, PyTorch, Scikit-Learn, Keras - Tools: Jupyter Notebooks, Vertex AI, AutoML, MLflow - Data Processing: BigQuery, Pandas, NumPy, Dask - Visualization: Matplotlib, Seaborn, Tableau, Power BI - Cloud: GCP AI Platform, Vertex AI, Cloud ML Engine - MLOps: Kubeflow, Vertex Pipelines, Docker, Kubernetes

Programming: Python, R, Julia, SQL - Frameworks: TensorFlow, PyTorch, Scikit-Learn, Keras - Tools: Jupyter Notebooks, Vertex AI, AutoML, MLflow - Data Processing: BigQuery, Pandas, NumPy, Dask - Visualization: Matplotlib, Seaborn, Tableau, Power BI - Cloud: GCP AI Platform, Vertex AI, Cloud ML Engine - MLOps: Kubeflow, Vertex Pipelines, Docker, Kubernetes

Programming: Python, R, Julia, SQL - Frameworks: TensorFlow, PyTorch, Scikit-Learn, Keras - Tools: Jupyter Notebooks, Vertex AI, AutoML, MLflow - Data Processing: BigQuery, Pandas, NumPy, Dask - Visualization: Matplotlib, Seaborn, Tableau, Power BI - Cloud: GCP AI Platform, Vertex AI, Cloud ML Engine - MLOps: Kubeflow, Vertex Pipelines, Docker, Kubernetes

Programming: Python, R, Julia, SQL - Frameworks: TensorFlow, PyTorch, Scikit-Learn, Keras - Tools: Jupyter Notebooks, Vertex AI, AutoML, MLflow - Data Processing: BigQuery, Pandas, NumPy, Dask - Visualization: Matplotlib, Seaborn, Tableau, Power BI - Cloud: GCP AI Platform, Vertex AI, Cloud ML Engine - MLOps: Kubeflow, Vertex Pipelines, Docker, Kubernetes

Programming: Python, R, Julia, SQL - Frameworks: TensorFlow, PyTorch, Scikit-Learn, Keras - Tools: Jupyter Notebooks, Vertex AI, AutoML, MLflow - Data Processing: BigQuery, Pandas, NumPy, Dask - Visualization: Matplotlib, Seaborn, Tableau, Power BI - Cloud: GCP AI Platform, Vertex AI, Cloud ML Engine - MLOps: Kubeflow, Vertex Pipelines, Docker, Kubernetes

- Programming: Python, R, Julia, SQL - Frameworks: TensorFlow, PyTorch, Scikit-Learn, Keras - Tools: Jupyter Notebooks, Vertex AI, AutoML, MLflow - Data Processing: BigQuery, Pandas, NumPy, Dask - Visualization: Matplotlib, Seaborn, Tableau, Power BI - Cloud: GCP AI Platform, Vertex AI, Cloud ML Engine - MLOps: Kubeflow, Vertex Pipelines, Docker, Kubernetes.

- Programming: Python, R, Julia, SQL - Frameworks: TensorFlow, PyTorch, Scikit-Learn, Keras - Tools: Jupyter Notebooks, Vertex AI, AutoML, MLflow - Data Processing: BigQuery, Pandas, NumPy, Dask - Visualization: Matplotlib, Seaborn, Tableau, Power BI - Cloud: GCP AI Platform, Vertex AI, Cloud ML Engine - MLOps: Kubeflow, Vertex Pipelines, Docker, Kubernetes.

- Programming: Python, R, Julia, SQL - Frameworks: TensorFlow, PyTorch, Scikit-Learn, Keras - Tools: Jupyter Notebooks, Vertex AI, AutoML, MLflow - Data Processing: BigQuery, Pandas, NumPy, Dask - Visualization: Matplotlib, Seaborn, Tableau, Power BI - Cloud: GCP AI Platform, Vertex AI, Cloud ML Engine - MLOps: Kubeflow, Vertex Pipelines, Docker, Kubernetes.

- Programming: Python, R, Julia, SQL - Frameworks: TensorFlow, PyTorch, Scikit-Learn, Keras - Tools: Jupyter Notebooks, Vertex AI, AutoML, MLflow - Data Processing: BigQuery, Pandas, NumPy, Dask - Visualization: Matplotlib, Seaborn, Tableau, Power BI - Cloud: GCP AI Platform, Vertex AI, Cloud ML Engine - MLOps: Kubeflow, Vertex Pipelines, Docker, Kubernetes.

- Programming: Python, R, Julia, SQL - Frameworks: TensorFlow, PyTorch, Scikit-Learn, Keras - Tools: Jupyter Notebooks, Vertex AI, AutoML, MLflow - Data Processing: BigQuery, Pandas, NumPy, Dask - Visualization: Matplotlib, Seaborn, Tableau, Power BI - Cloud: GCP AI Platform, Vertex AI, Cloud ML Engine - MLOps: Kubeflow, Vertex Pipelines, Docker, Kubernetes.

- Programming: Python, R, Julia, SQL - Frameworks: TensorFlow, PyTorch, Scikit-Learn, Keras - Tools: Jupyter Notebooks, Vertex AI, AutoML, MLflow - Data Processing: BigQuery, Pandas, NumPy, Dask - Visualization: Matplotlib, Seaborn, Tableau, Power BI - Cloud: GCP AI Platform, Vertex AI, Cloud ML Engine - MLOps: Kubeflow, Vertex Pipelines, Docker, Kubernetes.

Programming: Python, R, Julia, SQL - Frameworks: TensorFlow, PyTorch, Scikit-Learn, Keras - Tools: Jupyter Notebooks, Vertex AI, AutoML, MLflow - Data Processing: BigQuery, Pandas, NumPy, Dask - Visualization: Matplotlib, Seaborn, Tableau, Power BI - Cloud: GCP AI Platform, Vertex AI, Cloud ML Engine - MLOps: Kubeflow, Vertex Pipelines, Docker, Kubernetes

Programming: Python, R, Julia, SQL - Frameworks: TensorFlow, PyTorch, Scikit-Learn, Keras - Tools: Jupyter Notebooks, Vertex AI, AutoML, MLflow - Data Processing: BigQuery, Pandas, NumPy, Dask - Visualization: Matplotlib, Seaborn, Tableau, Power BI - Cloud: GCP AI Platform, Vertex AI, Cloud ML Engine - MLOps: Kubeflow, Vertex Pipelines, Docker, Kubernetes

Minimum qualifications: Bachelor's degree or equivalent practical experience. 2 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data. 2 years of experience managing projects and defining project scope, goals, and deliverables. Preferred qualifications: Master's Degree in Computer Science. 4 years of relevant work experience in a large-scale data analysis. 2 years of experience with machine learning systems. Experience in at least one programming language (e.g., Go, Python, R, Julia, C/C++, Java, SQL). Experience in security threat or abuse detection, analysis and investigation. Excellent written and verbal communication skills. About the job Trust & Safety team members are tasked with identifying and taking on the biggest problems that challenge the safety and integrity of our products. They use technical know-how, excellent problem-solving skills, user insights, and proactive communication to protect users and our partners from abuse across Google products like Search, Maps, Gmail, and Google Ads. On this team, you're a big-picture thinker and strategic team-player with a passion for doing what’s right. You work globally and cross-functionally with Google engineers and product managers to identify and fight abuse and fraud cases at Google speed - with urgency. And you take pride in knowing that every day you are working hard to promote trust in Google and ensuring the highest levels of user safety. Trust and Safety Cloud AI Protection (CAIP)’s mission is to enable the rapid growth of Google Cloud Platform (GCP) and Workspace AI businesses by curbing associated safety and security risks.CAIP supports GCP and Workspace AI products throughout their life-cycle by advancing safety protection mechanisms in the earliest stages of product design. Specifically, CAIP’s service portfolio includes both pre and post launch capabilities. As an AI Protection analyst, you will have the opportunity to shape the safety of Google AI products. You will ensure that our AI products are not only powerful but also safe, secure, and aligned with our AI principles and every AI product is as resilient as it can be by designing and building an industry leading AI agent system to protect Google AI from misuse. You will help to solve challenging problems in AI safety and misuse at Google scale.At Google we work hard to earn our users’ trust every day. Trust & Safety is Google’s team of abuse fighting and user trust experts working daily to make the internet a safer place. We partner with teams across Google to deliver bold solutions in abuse areas such as malware, spam and account hijacking. A team of Analysts, Policy Specialists, Engineers, and Program Managers, we work to reduce risk and fight abuse across all of Google’s products, protecting our users, advertisers, and publishers across the globe in over 40 languages. Responsibilities Identify and investigate possible failure modes for GenAI products on a broad range from sociotechnical harms to misuse. Design and build implementation for anti-abuse detection and action systems, including detection and enforcement AI agents, to protect Google Cloud and Workspace AI products at scale. Perform in-depth analysis of risks, measure and mitigate AI-related risks, using benchmarking, evaluations, dataset design, and usage monitoring. Prepare analysis reports and present findings and solutions to stakeholders with exceptional written and verbal communication. Collaborate with other Google teams to ensure that the issues are understood and solutions are adopted. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

HIRING INTERNS Experience - 0-1 years Qualifications - B.Arch, Interior Designer Hi everyone, We are excited to welcome more members into our team. We are looking for freshers with innovative ideas and a positive outlook and passion for Design. The job role requires you to : 1. Handle clients 2. Contribute to Design 3. Visit Offices on behalf of the company We are looking forward to see you here. - Ar. Julia

Minimum qualifications: Bachelor's degree or equivalent practical experience. 5 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data. 5 years of experience managing projects and defining project scope, goals, and deliverables. Preferred qualifications: Master’s or Ph.D. degree in a quantitative discipline (e.g., Computer Science, Statistics, Mathematics, Operations Research etc.) 5 years of experience in a large-scale data analysis or data science setting, including abuse and fraud disciplines, with a focus on web security, harmful content moderation and threat analysis. Experience scripting languages in (e.g., C/C++) with proficiency in programming languages (e.g., Python, Julia) and database languages like SQL. Experience with prompt engineering and fine-tuning LLMs. Proficiency in applying machine learning techniques to large datasets. About The Job Trust & Safety team members are tasked with identifying and taking on the biggest problems that challenge the safety and integrity of our products. They use technical know-how, excellent problem-solving skills, user insights, and proactive communication to protect users and our partners from abuse across Google products like Search, Maps, Gmail, and Google Ads. On this team, you're a big-picture thinker and strategic team-player with a passion for doing what’s right. You work globally and cross-functionally with Google engineers and product managers to identify and fight abuse and fraud cases at Google speed - with urgency. And you take pride in knowing that every day you are working hard to promote trust in Google and ensuring the highest levels of user safety. The AI Safety Protections team within Trust and Safety develops and implements cutting-edge AI/LLM-powered solutions to ensure the safety of generative AI across Google's products. This includes safeguards for consumer products, enterprise offerings (Vertex AI), on-device applications, as well as foundational models (Gemini, Juno, Veo) in collaboration with Google DeepMind. We are a team of passionate data scientists and machine learning experts dedicated to mitigating risks associated with generative AI, and addressing real-world safety with LLM/AI technology (e.g., imminent threat, child safety). As a member of our team, you will have the opportunity to apply the latest advancements in AI/LLM, work with teams developing cutting-edge AI technologies, as well as protecting the world from real-world harms. This role works with sensitive content or situations and may be exposed to graphic, controversial, or upsetting topics or content. Responsibilities Develop scalable safety solutions for AI products across Google by leveraging advanced machine learning and AI techniques. Apply statistical and data science methods to examine Google's protection measures, uncover potential shortcomings, and develop actionable insights for continuous security enhancement. Drive business outcomes by crafting compelling data stories for a variety of stakeholders, including executive leadership. Develop automated data pipelines and self-service dashboards to provide timely insights at scale. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

One of our client is seeking a Data Scientist with 2-6 Years of experience with strong expertise in Data Science, Python, and SQL to join our team in the travel industry for Hyderabad Location . The role involves working with cross-functional teams to analyze customer behavior, forecast demand, optimize pricing models, and deploy AI-driven solutions to enhance user experience and drive business growth. Hire2 2.ai connects top talent with executive ro les anonymously and confidenti ally, transforming hiring through an AI-first, instant CoNCT m odel. Companies get interview-ready candidates in just 22 hou rs. No telecalling, no spam, no manual filtering Key Responsibilities Work across all stages of the data science lifecycle – data collection, preprocessing, model development, and deployment. Build and train machine learning models for fare prediction, demand forecasting, and customer segmentation . Implement ML Flow for experiment tracking, model versioning, and dataset management. Deploy and manage models on cloud platforms ensuring scalability and reliability. Analyze large structured and unstructured datasets to identify trends and actionable insights. Collaborate with Engineering, Product, Marketing, and Finance teams on data-driven initiatives. Develop and maintain data pipelines for ingestion, transformation, and modeling. Conduct statistical analysis, hypothesis testing, and A/B testing for product decisions. Create visualizations, dashboards, and reports to communicate insights effectively. Contribute to automation and development of scalable data science tools. Mandatory Skills Data Science – Applied machine learning, predictive modeling, statistical analysis. Python – Strong programming and analytical coding experience. SQL – Expertise in querying, database management, and handling large datasets. Preferred / Good-to-Have Skills Machine Learning Frameworks: PyTorch, TensorFlow, JAX, Keras, Scikit-learn, Distributed Model Training. Programming & Development: PySpark, Julia, MATLAB, Git, GitLab, Docker, CI/CD pipelines, MLOps. Cloud & Deployment: AWS SageMaker, MLFlow, Model Deployment & Scaling. Data Engineering & Analytics: Pandas, NumPy, Spark, Hadoop, Feature Engineering, Data Preprocessing. Visualization: Tableau, Power BI, Looker, Matplotlib, Seaborn. Databases & Querying: Snowflake, Databricks. Big Data & Monitoring: Kubernetes, Model Monitoring. Computer Vision (Optional): CNN, RNN, OpenCV, Kornia, Image/Video Analytics. NLP / Deep Learning: Transformers, LLMs, Recommendation Systems. Domain Knowledge: Travel industry, GDS APIs (Amadeus, Sabre), flight search optimization, pricing models. System Design: HLD/LLD for production-scale ML workflows. This Job Post is Valid for Only 22 Hours. Please Apply Quickly

Bengaluru, Karnataka Job ID JR2025467271 Category Engineering - Software Role Type Onsite Post Date Aug. 18, 2025 Job Description At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Overview As a leading global aerospace company, Boeing develops, manufactures and services commercial airplanes, defense products and space systems for customers in more than 150 countries. As a top U.S. exporter, the company leverages the talents of a global supplier base to advance economic opportunity, sustainability and community impact. Boeing’s team is committed to innovating for the future, leading with sustainability, and cultivating a culture based on the company’s core values of safety, quality and integrity. Technology for today and tomorrow The Boeing India Engineering & Technology Center (BIETC) is a 5500+ diverse engineering workforce that contributes to global aerospace growth. Our engineers deliver cutting-edge R&D, innovation, and high-quality engineering work in global markets, and leverage new-age technologies such as AI/ML, IIoT, Cloud, Model-Based Engineering, and Additive Manufacturing, shaping the future of aerospace. People-driven culture At Boeing, we believe creativity and innovation thrives when every employee is trusted, empowered, and has the flexibility to choose, grow, learn, and explore. We offer variable arrangements depending upon business and customer needs, and professional pursuits that offer greater flexibility in the way our people work. We also believe that collaboration, frequent team engagements, and face-to-face meetings bring diverse perspectives and thoughts – enabling every voice to be heard and every perspective to be respected. No matter where or how our teammates work, we are committed to positively shaping people’s careers and being thoughtful about employee wellbeing. With us, you can create and contribute to what matters most in your career, community, country, and world. Join us in powering the progress of global aerospace. Position Overview: Boeing India Engineering team is currently looking to hire an Experienced Simulation Software Engineer to join their team in Bengaluru, KA. Boeing India Software Engineering (BISE) team is the preferred provider of technologies and innovation across the entire Boeing enterprise. We work across the complete product lifecycle of Boeing's commercial aircraft, military aircraft, rotorcraft, space vehicles, UAVs, and advanced vehicle prototypes. We provide innovative support for our current and future products and services, act as global scouts for innovative technologies, and solve our customers' most difficult technology challenges. Boeing India Software Engineering (BISE) is part of Boeing India Engineering & Technology Center (BIETC, based in Bangalore) focused on innovation, and developing and transitioning new technologies in support of Boeing products and services. Position Responsibilities: As an Experienced Simulation Software Engineer, the selected individual will work in the Boeing India Software Engineering (BISE) team to develop, maintain and improve Aviation software products. The position involves aligning / integrating / streamlining a range of product support, maintenance and enhancement requirements and will drive technology leadership for critical design considerations and drive future integrated product roadmap. The selected individual will maintain and improve application software related to aircraft and air traffic management and potentially integrate with other products to provide a world-class modeling and simulation tool suite for Boeing customers globally. The selected individual will work with cross-functional teams spread across multiple products and locations within Boeing and external partners. The selected individual work in an Agile Scrum team following the best practices on Software Craftsmanship such as Test-driven development and Pair Programming/Peer Reviews. The selected individual will work in close cooperation - actively aligns the technical roadmap, APIs and Interaction Design, with teams based in international locations. The selected individual will be responsible to create and maintain necessary software design and architecture documentation. The selected individual will actively support in reducing technical debt. The selected individual will be a skilled, highly professional engineer, work collaboratively with an international team comprising software development, product management, and business analysis. The selected individual will also be responsible to provide support to the development of internal competency and resources for critical skill sets and be a sought-after expert that other developers can benefit from. The selected individual is highly passionate about creating beautiful things with software. The selected individual owns a problem until it’s solved. The selected individual lays equal emphasis on testing and generating error-free software. The selected individual will be responsible for coordinating and communicating regularly with experts in Boeing organizations around the world. Selected individual will need to support initiatives of the Boeing India organization related to engineering excellence, employee development, mentoring, customer engagement, etc. The selected individual should be available to travel domestically and internationally, as required. Employer will not sponsor applicants for employment visa status. Basic Qualifications (Required Skills/Experience): Bachelor’s degree or higher in Engineering required as a BASIC QUALIFICATION Fluent in programming languages (C, C++ and Python) Fluent in Version Control systems (Subversion [SVN], GITLAB) Solid understanding of Plant and Controller Modeling techniques Having experience in the Control Systems Domain with evidence of a thorough understanding of requirements to solve problems and actively participate in simulation software development is an added advantage. Hands on experience in using modeling and simulation tools (MATLAB/Simulink, Julia, Open Modelica and other tools) Very good understanding of FMI Standards and hands-on experience in FMU model integrations with Simulation frameworks Hands-on experience with Hardware in Loop testing, Real-Time Simulations and having expertise in ARINC 429 and RS 485 Communication protocols It would be good to have experience in developing functional requirements specification and hands-on experience using simulation model development tools. Strong data-oriented design, standard template library and architecture skills. Experience with code and data optimization. Able to rapidly learn and understand software by reading source code and stepping through code under a debugger. Strong interpersonal and communications skills. Passion for avionics and software development. Collaborate effectively with a team of engineers, QA, Build, UI, Doc, and Project Management. Understanding of Scrum/Agile development. Extensive experience in collaborating within an Agile team setting, working as a group to drive Epic/Feature/Story creation as well as solution design and architecture. Solid foundation in the deployment of scalable, low-latency, and highly available distributed systems. The candidate must be a self-starter with a positive attitude, high ethics, and strong analytical and creative problem-solving skills and, a track record of working successfully under pressure in a time constrained environment. Ability to independently execute & deliver on the backlog without dependency or handholding. Must be an excellent team player. Responsibilities include but not limited to Develop tools and applications by producing clean, efficient code. Review and debug code. Perform validation and verification testing. Integrate software components into a fully functional software system. Automate tasks through appropriate tools and scripting. Collaborate with internal teams and vendors to fix and improve products. Document development phases and monitor systems. Ensure software is up to date with the latest technologies. Integrate software components into a fully functional software system. Ensure software is up to date with the latest technologies. Preferred Qualifications (Desired Skills/Experience): Masters/PhD in relevant discipline Expertise in advanced modeling techniques such as state-space modeling, system dynamics, and multi-domain simulation Familiarity with MBSE methodologies and tools, such as SysML or UML, to support system design and analysis Understanding of aerospace industry standards and regulations, such as DO-178C for software development and DO-254 for hardware. Experience with CI/CD tools and practices, such as Jenkins, GitLab CI to automate the build, test, and deployment processes for simulation models and software Proficiency in popular ML frameworks and libraries such as TensorFlow, PyTorch, Keras, or Scikit-learn for developing and deploying machine learning models Typical Education & Experience: Education/experience typically acquired through advanced education (e.g. Bachelor) and typically 8+ years related work experience or an equivalent combination of education and experience (e.g. Master + 7 years related work experience.) Relocation: This position offers relocation within INDIA. Applications for this position will be accepted until Aug. 25, 2025 Export Control Requirements: This is not an Export Control position. Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift Not a Shift Worker (India) Equal Opportunity Employer: We are an equal opportunity employer. We do not accept unlawful discrimination in our recruitment or employment practices on any grounds including but not limited to; race, color, ethnicity, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military and veteran status, or other characteristics covered by applicable law. We have teams in more than 65 countries, and each person plays a role in helping us become one of the world’s most innovative, diverse and inclusive companies. We are proud members of the Valuable 500 and welcome applications from candidates with disabilities. Applicants are encouraged to share with our recruitment team any accommodations required during the recruitment process. Accommodations may include but are not limited to: conducting interviews in accessible locations that accommodate mobility needs, encouraging candidates to bring and use any existing assistive technology such as screen readers and offering flexible interview formats such as virtual or phone interviews. Your Benefits No matter where you are in life, our benefits help prepare you for the present and the future. Competitive base pay and incentive programs. Industry-leading tuition assistance program pays your institution directly. Resources and opportunities to grow your career. Up to $10,000 match when you support your favorite nonprofit organizations.

University: Delft University of Technology Country: Netherlands Deadline: 2025-09-26 Fields: Environmental Science, Environmental Engineering, Hydrogeology, Physics, Applied Mathematics How can advanced surrogate modeling and uncertainty quantification revolutionize the way we predict and manage groundwater quality in a changing world? The increasing complexity of environmental challenges, such as safeguarding groundwater quality, demands innovative computational approaches. If you are passionate about applying machine learning, statistics, and environmental modeling to real-world issues, the PhD position in Surrogate-enabled Uncertainty Quantification for Reactive Transport Modeling at Delft University of Technology (TU Delft) in the Netherlands offers a unique opportunity to contribute to water safety and sustainability on a global scale. About The University Or Research Institute Delft University of Technology (TU Delft) is one of Europe’s leading technical universities, renowned for its cutting-edge research and innovation in science, engineering, and design. Located in Delft, a historic city in the heart of the Netherlands, TU Delft has a longstanding reputation for excellence in education and research, particularly in fields related to water management, civil engineering, and environmental sciences. The university’s Faculty of Civil Engineering & Geosciences (CEG) is dedicated to advancing knowledge in civil engineering, applied earth sciences, traffic and transport, water technology, and delta technology. TU Delft’s vibrant international community, commitment to open science, and strong industry and academic partnerships make it a prime destination for ambitious researchers. The Netherlands itself is globally recognized for its expertise in water management and environmental innovation, offering an ideal setting for research that addresses pressing societal challenges. International students at TU Delft benefit from comprehensive support services, including the Coming to Delft Service, which assists with relocation, integration, and career development for both researchers and their families. The university’s inclusive academic environment, diverse student body, and location in a safe, welcoming country make it an excellent place to pursue doctoral studies and build a global network. Also See Netherlands – PhD in Surrogate Modeling for Groundwater at Delft University of Technology PhD Positions in Climate and Groundwater Research at UNSW Sydney PhD Opportunity in Symbolic AI and Reasoning Under Uncertainty at TU Delft Fully Funded MSc by Research at Cranfield: Tackling PFAS in Water Canada – PhD/Postdoc in Numerical Optimization at Polytechnique Montréal Research Topic and Significance The focus of this PhD project is on developing surrogate-enabled uncertainty quantification frameworks for reactive transport modeling in groundwater systems. Reactive transport models are vital for assessing groundwater quality and contamination risks, which are critical for ensuring safe drinking water supplies worldwide. However, the accuracy of these models is often limited by uncertainties in parameters and data, and traditional Bayesian uncertainty quantification methods can be prohibitively computationally expensive for complex systems. By leveraging surrogate modeling—creating efficient approximations of computationally intensive models—and integrating advances in machine learning, this project aims to enable robust uncertainty quantification even within limited time and resource budgets. The outcomes will provide more reliable predictions and risk assessments for groundwater quality, thereby supporting safer and more sustainable water management practices. The research will have direct impact on public health, environmental protection, and policy-making related to water resources. Project Details The PhD candidate will join a multidisciplinary team at TU Delft, collaborating closely with the AIdroLab (part of TU Delft AI) and the Statistical Model-Data Integration group at the University of Stuttgart. The project bridges hydrogeology, biogeochemistry, statistics, and machine learning, focusing on both methodological advances and practical applications in water quality modeling. Key Responsibilities Include – Designing and implementing surrogate modeling strategies for efficient uncertainty quantification of reactive transport models. – Evaluating and propagating surrogate model errors to improve uncertainty estimates. – Applying the developed framework to real-world case studies in collaboration with international working groups in water quality modeling. The department is recognized for its expertise in water quality, environmental system modeling, and the integration of statistical and machine learning techniques in water resources research. Candidate Profile Ideal Applicants For This Position Will Have – A Master’s degree in environmental science, environmental engineering, hydrogeology, physics, applied mathematics, or a related discipline. – A strong interest in uncertainty quantification, Bayesian statistics, and machine learning; demonstrable experience in at least one of these areas is considered an advantage. – Familiarity with numerical modeling and scientific programming (e.g., Python, Julia, or R). – Preferably, experience in modeling reactive transport in groundwater. – Excellent written and spoken English, suitable for working in an international academic environment. – Enthusiasm for interdisciplinary research, particularly at the interface of hydrogeology, statistics, and computational modeling. TU Delft requires all PhD candidates to meet English proficiency standards to ensure effective communication, participation in doctoral education, and successful completion of research outputs. Application Process Delft University of Technology is a top-tier institution, offering doctoral candidates a four-year employment contract (structured as an initial 1.5-year contract with a progress assessment, followed by a further 2.5 years upon satisfactory performance). The salary ranges from €3059 per month in the first year to €3881 in the fourth year, in line with the Collective Labour Agreement for Dutch Universities. Additional benefits include a customizable compensation package, health insurance discounts, flexible work schedules, and support for international relocation and dual-career partners. To Apply, Candidates Must Submit Their Applications Online (applications By Email Or Post Will Not Be Processed) By 26 September 2025. The Application Should Include – A motivation letter (maximum one page). – A 1-2 page CV, including names and contact information for two references. – Copies of academic transcripts (with grades for all courses). – An individually authored scientific text (such as an MSc thesis or course report in English). Interviews are expected to take place in early October 2025. Please note that a pre-employment screening and a knowledge security check (as per Dutch National Knowledge Security Guidelines) may form part of the selection process. For further details and to apply, visit the official position page: https://careers.tudelft.nl/job/Delft-PhD-Position-Surrogate-enabled-Uncertainty-Quantification-for-Reactive-Transport-Modeling-2628-CD/805694202 Conclusion This PhD position at TU Delft represents an exceptional opportunity for motivated researchers to advance the field of uncertainty quantification in environmental modeling while contributing to the global challenge of ensuring safe water resources. If you are eager to develop innovative computational methods and collaborate within a world-class research community, consider applying to join TU Delft’s renowned Faculty of Civil Engineering & Geosciences. Stay informed about similar opportunities by following updates on leading academic job platforms. Want to calculate your PhD admission chances? Try it here: https://phdfinder.com/phd_admission_chance_calculator/ Get the latest openings in your field and preferred country—straight to your email inbox. Sign up now for 14 days free: https://phdfinder.com/position-alert-service/ We’re an independent team helping students find opportunities. Found this opportunity helpful? Support us with a coffee!

University: Delft University of Technology Country: Netherlands Deadline: 2025-09-26 Fields: Environmental Science, Environmental Engineering, Hydrogeology, Applied Mathematics, Physics Are you passionate about combining computational modeling, machine learning, and environmental sciences to address pressing challenges in groundwater quality and contamination? If you are eager to advance your academic career while working at the intersection of hydrogeology, statistics, and artificial intelligence, this PhD position at Delft University of Technology could be the perfect next step for you. About The University Or Research Institute Delft University of Technology (TU Delft) is one of Europe’s most renowned technical universities, consistently ranked among the top institutions worldwide for engineering and technology. Located in the historic city of Delft, Netherlands, TU Delft is celebrated for its cutting-edge research, vibrant international community, and strong industry partnerships. The Department of Water Management at TU Delft is a leader in water-related research, integrating expertise from environmental engineering, hydrology, and computational sciences to tackle global water challenges. Studying in the Netherlands offers students a unique blend of high-quality education, multicultural experiences, and excellent work-life balance. The country is known for its innovative research environment, open and collaborative academic culture, and strong emphasis on sustainability and societal impact. TU Delft’s central location in Europe also provides easy access to a wide network of academic and industrial partners, making it an ideal place to launch an international research career. Research Topic and Significance The core focus of this PhD project is the development of surrogate modeling techniques to enable efficient uncertainty quantification in reactive transport modeling of groundwater systems. Groundwater quality is a critical concern worldwide, with implications for drinking water safety, agricultural productivity, and ecosystem health. Reactive transport models are essential tools for predicting the fate of contaminants and nutrients in subsurface environments, but their computational demands often limit the scope and reliability of uncertainty analyses. Also See PhD Positions in Climate and Groundwater Research at UNSW Sydney Canada – PhD/Postdoc in Numerical Optimization at Polytechnique Montréal PhD Opportunity in Symbolic AI and Reasoning Under Uncertainty at TU Delft Germany – PhD in Hydrological Modelling with Machine Learning at University of Stuttgart Canada – PhD in Applied Mathematics at University of Waterloo By leveraging advanced surrogate modeling and machine learning approaches, this project aims to make uncertainty quantification more tractable and accurate, thereby improving predictions of groundwater contamination risks. The research will not only contribute to scientific understanding but also support better decision-making in environmental management and policy. The project’s interdisciplinary nature—spanning hydrogeology, biogeochemistry, statistics, and AI—reflects the complex, real-world challenges facing water resources today. Project Details This Four-year PhD Position Is Based At The Department Of Water Management At TU Delft. The Successful Candidate Will Work Closely With AIdroLab At TU Delft AI And Collaborate With The Statistical Model-Data Integration Group At The University Of Stuttgart, Germany. The Project Involves – Designing and implementing surrogate modeling strategies for complex reactive transport models. – Evaluating and propagating surrogate model errors to enhance the robustness of uncertainty quantification. – Applying the developed methodologies to real-world case studies, often in collaboration with international research partners. The position offers a competitive monthly salary (in accordance with Dutch Universities CAO) and the opportunity to work in a stimulating, interdisciplinary environment with access to state-of-the-art computational resources. Candidate Profile The Ideal Applicant Will Have – A Master’s degree in environmental science, environmental engineering, hydrogeology, physics, applied mathematics, or a related field. – A strong interest in uncertainty quantification, Bayesian statistics, and machine learning. – Demonstrated skills in numerical modeling and scientific programming (Python, Julia, or R). – Preferably, experience with reactive transport modeling in groundwater systems. – Excellent English communication skills, both written and spoken. – A passion for interdisciplinary research and international collaboration. This position is particularly suited for candidates who are eager to bridge environmental sciences with computational and statistical methods, and who thrive in collaborative, cross-disciplinary research settings. Application Process To Apply, Candidates Should Prepare The Following Documents – Motivation letter (maximum 1 page) – Curriculum Vitae (1–2 pages), including contact details of two references – Academic transcripts, including grades – An example of a scientific text authored by the applicant (e.g., MSc thesis) Applications must be submitted online via the official TU Delft careers portal: https://careers.tudelft.nl/job/Delft-PhD-Position-Surrogate-enabled-Uncertainty-Quantification-for-Reactive-Transport-Modeling-2628-CD/805694202/ The application deadline is 26 September 2025. Interviews will be held in early October 2025. Please refer to the official advertisement for further details on the application process. Conclusion This is an outstanding opportunity for aspiring researchers who want to make a meaningful impact on environmental science and groundwater management through advanced computational techniques. If you are ready to contribute to international collaborations and develop innovative solutions for real-world challenges, we encourage you to apply for this PhD position at TU Delft. Stay tuned for similar openings and further your academic journey in one of Europe’s most dynamic research environments. Want to calculate your PhD admission chances? Try it here: https://phdfinder.com/phd_admission_chance_calculator/ Get the latest openings in your field and preferred country—straight to your email inbox. Sign up now for 14 days free: https://phdfinder.com/position-alert-service/ We’re an independent team helping students find opportunities. Found this opportunity helpful? Support us with a coffee!

You will be working for one of ANSR's clients, Illumina, a renowned developer, manufacturer, and marketer of life science tools and integrated systems dedicated to making genomics useful for all. Illumina's integrated Indian global hub in Bengaluru, Illumina India Biotechnology Private Limited, focuses on technology activities that drive innovation in healthcare and medical research to shape the future of personalized medicine and health care. As a Data Scientist at Illumina, you will collaborate with cross-functional teams of scientists, engineers, and bioinformaticians to analyze complex biological data, develop advanced models, and deliver actionable insights. Your work will support initiatives across genomics, clinical applications, and product development, contributing to Illumina's research, development, and commercial objectives. Your responsibilities will include designing, developing, and implementing statistical models and machine learning algorithms, partnering with internal teams to define project goals, applying data mining techniques, evaluating model performance, collaborating with software engineers for deployment, communicating findings to stakeholders, staying updated with data science trends, and contributing to publications and dissemination of results. To qualify for this role, you should have a Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Bioinformatics, Computational Biology, Engineering, or a related field. A Master's degree or Ph.D. is preferred. You should have experience working with large datasets, proficiency in programming languages like Python, R, or Julia, familiarity with cloud computing platforms and data warehousing solutions, and excellent communication skills. Preferred qualifications include a Master's degree or Ph.D. in a relevant field, hands-on experience with genomic data analysis, contribution to open-source projects, experience in regulated environments, and a background in healthcare, life sciences, or biotechnology industry. Key skills and competencies for this role include a strong foundation in statistics and experimental design, expertise in machine learning techniques, ability to work in regulated environments, proficiency in data cleaning and preprocessing, collaborative work approach, and innovative thinking to apply data science solutions to real-world challenges. The ideal candidate will have a Bachelor's degree and a minimum of 2 years of related experience, or an advanced degree without experience, or equivalent work experience.,

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you’ll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American. How will you make an impact in this role? We are looking for energetic, high-performing and highly skilled Java Full Stack Engineers with some GCP Cloud experience to help shape our technology and product roadmap. You will be part of the fast-paced, entrepreneurial Enterprise Personalization portfolio focused on delivering the next generation global marketing capabilities. This team is responsible for building products that power Merchant Offers personalization for Amex card members. Job Description: Demonstrated leadership in designing sustainable software products, setting development standards, automated code review process, continuous build and rigorous testing etc. Ability to effectively lead and communicate across 3rd parties, technical and business product managers on solution design Primary focus is spent writing code, API specs, conducting code reviews & testing in ongoing sprints or doing proof of concepts/automation tools Applies visualization and other techniques to fast track concepts Functions as a core member of an Agile team driving User story analysis & elaboration, design and development of software applications, testing & builds automation tools Works on a specific platform/product or as part of a dynamic resource pool assigned to projects based on demand and business priority Identifies opportunities to adopt innovative technologies Design, develop, and deploy scalable applications on the Google Cloud Platform using Java 8 & above. In-depth understanding of Google Cloud Platform services and architecture. Proficiency in developing and deploying applications on GCP using services such as Compute Engine, App Engine, Cloud Functions, Big Query, Cloud SQL, DataProc, Dataflow etc. Experience with containerization technologies such as Docker and Kubernetes is a plus. Awareness of best practices for cloud-based application development, ensuring security, reliability, and efficiency. Troubleshoot and resolve issues related to application performance and functionality on cloud Qualification: A bachelor’s degree in computer science, computer engineering, other technical discipline, or equivalent work experience 7+ years of experience in software development; 3-5 years in leading teams of engineers Demonstrated experience with Agile or other rapid application development methods Demonstrated experience with object-oriented design and coding Full-Stack development exposure Demonstrated experience on these core technical skills (Mandatory) Core Java, Spring Framework, Spring boot, Java EE Relational Database (Postgres / MySQL / DB2 etc.) Data Serialization techniques (Ex: Avro) Cloud development (Micro-services) Parallel & distributed (multi-tiered) systems Application design, software development and automated testing Demonstrated experience on these additional technical skills (Nice to Have) Unix / Shell scripting GenNext languages: Python / Scala / Golang / Julia etc Message Queuing, Stream processing (Kafka) AJAX tools/ Frameworks. Web services, open API development, and REST concepts Experience with implementing integrated automated release management using tools/technologies/frameworks like Maven, Git, code/security review tools, Jenkins, Automated testing and Junit. American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

We are the leading provider of professional services to the middle market globally, our purpose is to instill confidence in a world of change, empowering our clients and people to realize their full potential. Our exceptional people are the key to our unrivaled, inclusive culture and talent experience and our ability to be compelling to our clients. You’ll find an environment that inspires and empowers you to thrive both personally and professionally. There’s no one like you and that’s why there’s nowhere like RSM. Applied AI Solutions Architect: Job Overview The Applied AI Solutions Architect is a strategic role responsible for designing, implementing, and managing AI-driven solutions that align with business objectives. This position bridges technical expertise in artificial intelligence (AI) and machine learning (ML) with business strategy, ensuring scalable, ethical, and high-performing AI systems. The AI Solutions Architect collaborates with cross-functional teams to deliver innovative solutions, leveraging generative AI, cloud platforms, and modern architectures like Retrieval-Augmented Generation (RAG). Responsibilities Solution Design : Architect end-to-end AI/ML pipelines, including data ingestion, preprocessing, model training, deployment, and monitoring, ensuring scalability and performance. Technology Selection : Evaluate and select appropriate AI frameworks, tools, and cloud services (e.g., AWS SageMaker, Azure AI, Google Cloud AI) based on project requirements. Generative AI Implementation : Design solutions using large language models (LLMs) and RAG architectures for applications like content generation, customer engagement, or product design. Collaboration : Work with data scientists, engineers, product managers, and executives to translate business needs into technical solutions, acting as a trusted advisor. Governance and Ethics : Implement responsible AI practices, addressing bias, security, and compliance in AI systems. MLOps and AIOps : Establish CI/CD pipelines, model versioning, and monitoring frameworks to operationalize AI solutions. Thought Leadership : Advocate for AI-driven innovation, mentor teams, and communicate technical concepts to non-technical stakeholders. Performance Optimization : Ensure AI solutions meet latency, cost, and quality requirements, optimizing for production environments. Skill Set Technical Skills : Proficiency in Python, R, or Julia for AI/ML development. Expertise in ML frameworks like TensorFlow, PyTorch, Hugging Face, or Scikit-learn. Experience with cloud platforms (AWS, Azure, Google Cloud) and AI services like Amazon Bedrock or Azure AI Foundry. Knowledge of MLOps tools (e.g., Kubeflow, MLflow) and CI/CD pipelines. Familiarity with generative AI techniques, including prompt engineering, fine-tuning, and RAG. Understanding of data engineering concepts, including ETL processes and data lakes. Soft Skills : Strong communication to bridge technical and business teams. Analytical thinking for evaluating trade-offs and designing optimal solutions. Leadership and mentorship to guide cross-functional teams. Domain Knowledge : Experience in industries like healthcare, finance, or technology, with an understanding of relevant use cases (e.g., drug discovery, personalized marketing). Certifications AWS Certified Machine Learning – Specialty Microsoft Azure AI Engineer Associate Google Cloud Professional Machine Learning Engineer Coursera or Edureka AI/ML certifications (e.g., DeepLearning.AI’s Generative AI Specialization) ITIL or TOGAF for enterprise architecture alignment (optional) Qualifications Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field. 8+ years of experience in ML engineering, data science, or software architecture, with 3+ years in AI/ML solution design. Proven track record of deploying AI solutions in production environments At RSM, we offer a competitive benefits and compensation package for all our people. We offer flexibility in your schedule, empowering you to balance life’s demands, while also maintaining your ability to serve clients. Learn more about our total rewards at https://rsmus.com/careers/india.html. RSM does not tolerate discrimination and/or harassment based on race; colour; creed; sincerely held religious beliefs, practices or observances; sex (including pregnancy or disabilities related to nursing); gender (including gender identity and/or gender expression); sexual orientation; HIV Status; national origin; ancestry; familial or marital status; age; physical or mental disability; citizenship; political affiliation; medical condition (including family and medical leave); domestic violence victim status; past, current or prospective service in the Indian Armed Forces; Indian Armed Forces Veterans, and Indian Armed Forces Personnel status; pre-disposing genetic characteristics or any other characteristic protected under applicable provincial employment legislation. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process and/or employment/partnership. RSM is committed to providing equal opportunity and reasonable accommodation for people with disabilities. If you require a reasonable accommodation to complete an application, interview, or otherwise participate in the recruiting process, please send us an email at careers@rsmus.com.

WALK-IN INTERVIEW (11th and 12th August, 2025) Department of Computer Science & Engineering and Computer Applications, Teerthanker Mahaveer University, Moradabad, invites applications for teaching and technical positions. Positions: Professor, Associate Professor, Assistant Professor and Programmer Key Skill Areas (The following list is indicative, but not exhaustive): AI/ML/DL Cryptography & Network Security Pattern Recognition Big Data & Data Analytics DBMS Dot Net & Java Programming Cloud Architecture Data Science & Cloud Computing Full Stack Development Swift & Android Programming Computer Applications Blockchain Technology Genetic Algorithm Information Security & Cyber Security Julia Programming Knowledge Representation & Reasoning Graphics & Animation Data Warehousing & Data Mining using R3 Eligibility: As per UGC and other respective regulatory bodies. Venue: HR Department Ground Floor, Clock Tower Teerthanker Mahaveer University Delhi Road, NH-09, Moradabad-244001 (UP) Date: 11, 12 August 2025, Time: 10:00 AM to 04:00 PM Contact No.: 0591-2476840, 09639155333

Responsibilities: Design and develop AI/ML algorithms for ad decisioning, bid auctioning, ad creative optimization, forecasting, and data classification in Digital Advertising. Identify valuable data sources and automate data engineering and ETL processes from ad serving events. Develop strategies for data preparation, including structured and unstructured data. Perform feature engineering and analyse large amounts of data from ad serving event logs to identify trends, patterns, and anomalies in bidding and ad decisioning. Ensure data privacy and security while conducting data analysis and modelling. Conduct experiments to validate hypotheses and test new algorithms. Build Minimum Viable Products (MVPs) using a proof-of-concept approach, focusing on scalability, speed, and accuracy. Build and maintain predictive models, dashboards, and automated reports to monitor performance and support decision-making. Collaborate with cross-functional teams, such as product, engineering, and sales, to ensure seamless integration of algorithms with other systems and processes. Stay up to date with the latest industry developments, advancements, and technologies in prediction and classification. Understanding and implementing diverse strategic ML/AI algos as per industry best practises and creating high impact, high value training models. Communicate results and recommendations to stakeholders, including non-technical audiences, using data visualization techniques. Required Skills: 3+ years of proven experience as a Data Scientist. Experience applying Data Science techniques in the field of Digital Advertising is a must. Extensive knowledge and practical experience in machine learning, neural networks, and statistics, with a focus on data modelling, engineering and mining. Understanding of machine learning and operations research, along with experience using machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn, XGBoost, etc.) and real-time data processing. Understanding latest advancements announced via industry research communities and research papers. Proficiency in programming languages like R, Julia, Python, SQL, or Apache Spark. Excellent analytical and problem-solving aptitude, critical thinking skills, strong mathematical abilities (statistics, algebra), and effective communication and presentation skills. Experience using Business Intelligence Tools and Distributed cloud data frameworks. Curiosity and a strong desire for continuous learning. Bachelors or Masters degree (or equivalent) in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Operations Research, or a related field.