Applied Ai Architects Jobs

DR ASHWANI KUMAR VIJ : have been retained by a Mid size organisation manufacturing and marketing a range of Industrial, sewage and water Pumps to select one : Sales / Marketing Manager ( Pumps ). Profile Desired : Mechanical Engineer preferably with MBA backgound from Premium Institute and having 10 to 12 years of relevant and Large engineering and pump Industry experience in Project and Product selling and Marketing to Govt, Large OEMs and Industrial customers in Northern Region. Age Desired : 32 - 35 Years. Excellent Salary Package would be offered to the right candidate. Those who have applied earlier need not apply again. DR ASHWANI KUMAR VIJ : President : Sales Recruitment Email Complete / Structured CV, with Scanned copy of Visiting Card, Salary Drawn / Expected details at :

DR ASHWANI KUMAR VIJ : have been retained to select one : Regional Sales and Marketing Manager. for a professionally managed FMCG company, to be located in Noida. Desired Profile : The candidate should be MBA Preferably From Top 10 Institutes and with minimum 10 - 12 + years of experience in the retail sales of confectionery / Biscuits / Juices Products, Preferbly of MNC or Large Organisation Background. The candidate should be energetic and dynamic with good communication skills. Preferred Age is below 32 years Excellent Salary Package would be offered to the right candidate. Those who have applied earlier need not apply. DR ASHWANI KUMAR VIJ : President : Sales Recruitment Email Complete / Structured CV, with Scanned copy of Visiting Card, Salary Drawn / Expected details at :

MEDICAL CODING Medical Coding is the process of converting Verbal Descriptions into numeric or alpha numeric by using ICD 10-CM, CPT and HCPCS. ELIGIBILITY UG / PG in Life Science, Medical, Paramedical, Dental, Pharmacy, physiotherapy, Nursing, Microbiology, Biochemistry, Biotechnology, Biology, Bio-Medical, Botony, Zoology, Bioinformatics, Genetics, BAMS, BHMS, BSMS, BNYS, BUMS, BEMS, Nutrition & Dietetics, Neuro Science, Food Microbiology, Industrial, Medical, Applied Microbiology, Genomics, Plant Biology, Advance Zoology, Radiology, Emergency Care, Anesthesia, Cardiac Perfusion, Physician Assistant For further information call us

Job title: Liquidity reporting Compliance Finance has mobilised a multi-year Integrity of Regulatory Reporting (IRR) programme to ensure that Regulatory Reporting across the Group is fit for purpose; accurate, timely and complete. The IRR programme is responsible for overseeing the design and implementation of a set of standards and control outcomes that will be consistently applied across the end-to-end Regulatory Reporting Process. IRR will drive the interconnectivity across various strategic transformation programs to ensure linkages and dependencies are well understood and aligned to the IRR standards and control outcomes. The Liquidity Product Based Review (LIQ_PBR) workstream is part of the overall data controls framework for Liquidity Regulatory Reporting. Product Based Reviews enable Finance to develop key assurance that the end to end data flow for Business Data Elements (“BDE’s”), from upstream Primary Booking Systems to downstream Reporting data warehouses (including the Liquidity Reporting Finance Data Application / Platform) complies with the applicable group data standards and controls (‘DMOV’ and ‘DUSE’), is complete and valid for the production of key Liquidity reports and metrics and that data quality or completeness issues discovered through the PBR process are appropriately logged, reported, escalated and managed to resolution. The LIQ_PBR Data Analyst contributes to Global Finance, supporting data flow discovery and documentation, from upstream primary trading and booking systems (PTS) to downstream Liquidity reporting platforms. The role holder will support the Liquidity PBR workstream to undertake quantitative and qualitative data documentation, test case formulation, data test execution and results tabulation, in order to provide the necessary assurance for management with regards to the traceability, lineage, transformation and controls on Liquidity business data elements from source systems to reporting. In this regards, the LIQ PBR d

Dawn Aerospace and the University of Canterbury are seeking expressions of interest from prospective PhD candidates for a number of fully-sponsored research projects in advanced aerospace engineering. Successful applicants will be enrolled as PhD students at the University of Canterbury and will undertake research projects aligned with real-world aerospace challenges at Dawn Aerospace. Candidates will be supervised jointly by University of Canterbury academics and Dawn Aerospace technical experts. This is a unique opportunity to combine doctoral research with direct exposure to one of the world's fastest-growing space transportation companies. Available Research Projects Three projects are available: Microgravity Thermofluids Analysis and Propellant Management: Research focused on fluid behaviour and propellant management in microgravity environments, supporting the development of future space propulsion systems. https://bpb-ap-se2.wpmucdn.com/blogs.auckland.ac.nz/dist/e/1107/files/2026/07/ADS-2.13-Microgravity-thermofluids-analysis-and-propellant-management.pdf Multidisciplinary Design Optimisation for Hypersonic UAVs: Research focused on advanced design methodologies and optimisation techniques for next-generation high-speed aerospace vehicles. https://bpb-ap-se2.wpmucdn.com/blogs.auckland.ac.nz/dist/e/1107/files/2026/07/ADS-2.14-Multidisciplinary-Design-Optimization-for-Hypersonic-UAVs.pdf Design and testing of novel space-efficient damping structures (Coming Soon): A third PhD project will be published shortly and applicants will have the opportunity to express interest in this project as part of the application process. NOTE: This project is not part of the Applied Doctorate Scheme Questions about a project? We recognise that prospective PhD candidates may wish to better understand the research scope, expected outcomes, funding arrangements, and supervision model before applying. If you would like additional information about any of the pro

Job Summary AMOREPACIFIC US Inc. would like to kindly invite a consumer research specialist to apply for a position in Americas R&I Center. This position focuses on managing various consumer research to better understand the North American market/consumer trends and consumer feedback on our products. The valuable insights gained from these studies will be applied to our marketing and sales strategies, as well as the development of innovative new products. Principal Accountabilities Initiate and oversee internal consumer and market research projects, including coordinating the logistical and technical aspects of research studies. Design and execute various consumer research studies, including focus group discussions (FGD), in-depth interviews (IDI), home usage tests (HUT), etc. Synthesize research data into insightful reports and compelling proposals that directly inform product and marketing decisions. Cultivate and maintain an active network with research partners. Attend customer research seminars, report main contents, and propose new customer research models. Continuously explore and integrate new research methodologies to stay at the forefront of consumer insights. Monitor and analyze consumer/market trends, including competitive brands' launches and consumer feedback, and generate related regular reports. Manage internal consumer research panels and utilize them to conduct consumer research. Key Expierence & Skills Qualification and Experience Bachelor’s degree in Science, Cosmetic Science, Chemistry, Biology, Business, Marketing, Consumer or Market Research, Psychology, Statistics, or a related field Minimum 3 years of experience in consumer or market research, cosmetic product development, product evaluation, or a related field Experience designing or managing consumer studies, product testing, or cosmetic development projects Experience in the beauty, personal care, health, food, or consumer packaged goods industry preferred Exp

What you’ll do Partner with medical image reconstruction scientists / engineers to build ML components that improve reconstruction quality, speed, robustness, or quantitative accuracy. Define training/evaluation pipelines, datasets, and metrics that map to user needs and design requirements. Productionize models: inference performance, reproducibility, monitoring for drift/regressions, and safe fallbacks. Collaborate on hybrid algorithms, incorporating physics and learned priors, denoisers, learned regularizers, and quality estimation. Help build tooling for rapid experimentation as well as rigorous verification of algorithm changes. What we’re looking for Strong applied ML experience plus comfort with signal processing / imaging or adjacent domains. Ability to move fluidly between research prototypes and production-quality systems. Strong evaluation discipline: metrics, ablations, data leakage avoidance, and reproducibility. A demonstrated track record of applying ML to physics-based or inverse problems (i.e., shipped projects, a portfolio, or publications.) Useful experience ML for imaging/inverse problems (or adjacent) with strong evaluation discipline and comfort with GPU performance constraints. Pragmatic production mindset: reproducible training/inference, regression testing, and safe deployment in high-stakes contexts. A background in computational physics or scientific computing. Leverage ML-based methods such as PiNNs and Neural Operators to solve partial differential equations arising in ultrasound simulation and imaging. Experience in Agentic-SciML is a plus. Hands-on experience with data curation for ML: building datasets from messy, real-world sources, defining ground truth, and managing labeling or simulation pipelines. Background in data assimilation: combining observations with physics-based models (Kalman filtering, variational methods, ensemble approaches, or learned variants).

A Career with point72’s Surveillance team Point72’s Surveillance team sets the industry standard for intelligence-driven surveillance by proactively identifying, monitoring, and assessing various sources of compliance risk using proprietary tools and specialized tradecraft. We support senior management by providing strategic assessments, actionable recommendations, and real-time escalations. At Point72, members of the Surveillance team conduct integrated trade and communication surveillance and collaborate to turn information into intelligence for our internal customers. The team also monitors employee activity for evidence of violations of applicable federal securities laws, internal compliance policies and procedures, and relevant rules and regulations enforced by the SEC, FINRA, and other organizations. What you’ll do As a Machine Learning Engineer - Applied Scientist you will play a critical role in developing algorithmic solutions and models for production-ready applications that support our front office investment professionals. You will specialize in natural language processing (NLP) solutions that extract insights from unstructured text data, with additional capabilities in predictive modeling, clustering, and time series analysis. You will manage all aspects of the research process including methodology selection, data collection and analysis, implementation and testing, prototyping, and performance evaluation. You will apply, adapt, and extend existing results in the broad field of NLP, while also conducting novel research as required. Specifically, you will: Contribute to projects across various machine learning (ML) disciplines, including NLP, unstructured data analysis, predictive modeling, and classic machine learning. Implement GenAI solutions, utilize ML infrastructure, and contribute to modeling, data preparation, optimization, and performance enhancements. Work with sparse data and apply techniques to improve model accuracy and generali

Zoox is looking for a Senior Signal Integrity and EMC Engineer to ensure the electrical reliability, signal fidelity, and compliance of our complex autonomous vehicle systems. In this role, you will own the end-to-end strategy for vehicle-level signal integrity, RF/wireless performance, and EMC. You will work within a multi-disciplinary engineering team to set rigorous requirements and ensure best practices are implemented from concept to production. You will serve as the domain expert on a variety of high-speed digital and RF design topics that bring our hardware to life safely and reliably. In this role, you will: Lead the development, implementation, and validation of vehicle-level signal integrity, grounding, and shielding strategies. Maintain rigorous technical requirements and EMC specifications applied across all electrical and electronic systems on all vehicle platforms. Define and maintain vehicle-level RF performance requirements, establishing specifications for all transmitters, receivers, and antenna systems to mitigate the electromagnetic impacts of physical vehicle installation on wireless communication. Perform and/or oversee signal integrity and power integrity (SI/PI) simulations and analysis for critical high-speed interfaces and power distribution networks. Simulate RF performance of all antennas, transmitters, and receivers as installed in a vehicle during the vehicle design phase to drive integration alignment. Collaborate with cross-functional design teams to ensure best practices for signal integrity, RF design, and EMC are implemented. Lead design reviews to identify and remediate vulnerabilities early to meet project milestones. Develop and execute validation plans for vehicle-level signal integrity, RF/wireless performance, and EMC, including radiated and conducted emissions/immunity. Troubleshoot and resolve complex signal integrity, RF, and EMC issues discovered during design, validation, and

SIXGEN’s mission is to deliver agile, mission-ready cybersecurity solutions that empower government and critical infrastructure organizations to stay ahead of advanced cyber threats. We combine innovation, deep expertise, and cutting-edge capabilities to uncover vulnerabilities, protect vital systems, and ensure operational superiority in an ever-evolving digital landscape. POSITION OVERVIEW Position: Systems Engineer Job Type: Full-time Location: Columbia, MD Clearance Requirements: Active TS/SCI with Polygraph required (U.S. Citizen Only) Work Schedule: 5 days per week onsite Experience: 10+ WHAT YOU'LL DO We are seeking a Systems Engineer with a diverse set of technical skills and the ability to adapt to unique mission requirements. The selected candidate will support projects focused on developing and implementing next-generation IT tools, systems, and capabilities while providing technical leadership throughout the engineering lifecycle. This role requires end-to-end responsibility for applied research and cyber capability development efforts, ensuring successful execution from concept through implementation. KEY RESPONSIBILITIES Systems Engineering Evaluate, develop, and deliver technical input to the systems engineering process. Develop technical documentation, system architecture, and system design documentation. Guide system development and implementation planning through system engineering management plans and system integration and test plans. Provide engineering guidance throughout the project lifecycle. Technical Leadership & Coordination Coordinate with administrators, engineers, developers, testers, government stakeholders, and mission partners. Interact with government representatives regarding technical considerations, issues, and conflicts. Establish effective working relationships with government agencies and mission partners. Deliver briefings on complex topics to technical and executive audiences. Research & Capability Development Suppor

Role: Point72 is looking for a Quantitative Researcher to join its Fund Flow Research team. The Fund Flow Group provides best in class flow and positioning indicators to help PMs, analysts, and traders across all investment functions understand their investment backdrop, better assess reward and risk, and identify alpha opportunities. Responsibilities : Create systematic trading strategies for macro and equity markets using proprietary flow and positioning datasets Conduct rigorous applied research to develop systematic signals for macro and equity markets, with a focus on investor flows and positioning Contribute to all aspects of the research and production process, including idea generation, hypothesis testing, portfolio construction, risk and transaction cost models, and P&L attribution Monitor, analyze and improve live trading P&L Collaborate with analysts and strategists to improve PM-facing content Requirements: Undergraduate, Master’s or PhD candidates in a technical field Demonstrated creativity and rigor in the research process Technically comfortable handling large datasets stored in AWS using Python Collaborative mindset Passion for research and financial markets Intellectual curiosity, exceptional attention to detail, and the ability to manage multiple projects and deadlines in a fast-paced environment Commitment to the highest ethical standards

Job Purpose Join our Intensive Support Team (IST) to provide specialist psychological support for individuals with learning disabilities during periods of crisis. This role focuses on delivering person-centred interventions that promote independence, inclusion, and positive behaviour support. Key Responsibilities Deliver intensive, specialist support to clients with increased health needs and their carers. Provide access to clinical expertise during times of crisis, complementing the work of the Community Team for People with Learning Disabilities (CTPLD). Apply evidence-based approaches such as Applied Behaviour Analysis and Positive Behaviour Support. Work collaboratively within a small multi-disciplinary team across community settings. Uphold principles of empowerment, least restrictive practice, and skill development for service users.

Why Work with Us Solve impactful problems. At Seven Research, our close-knit team unites brilliant minds passionate about pushing technological and scientific boundaries in the global markets. We provide state-of-the-art resources and cultivate intellectual freedom, enabling our people to develop groundbreaking solutions to the most complex challenges of our field. Our collaborative approach celebrates excellence from everyone, regardless of tenure. Your Role Our Deep Learning Researchers expand the boundaries of quantitative finance through the development of advanced deep learning models. You will conduct rigorous, systematic research to pioneer advanced methodologies, uncover sophisticated insights, and implement innovative approaches within our teams. What We’re Looking For We seek talented and knowledgeable problem-solvers with strong backgrounds in deep learning to come build with us. No financial knowledge is expected. Deep Learning Researcher candidates should have demonstrated strong applied research and critical analysis skills. We value team members who communicate clearly and can exercise ownership over projects. If working on challenging quantitative problems in a close-knit, research-driven environment excites you, we’d love to get to know you. The ideal candidate will possess most of the following: PhD degree in computer science or a related field Mastery of deep learning techniques and proven track record of building sophisticated predictive models using deep learning Publications in relevant journals and/or conference presentations Strong programming skills, including mastery of Python Strong problem-solving skills and research acumen Strong communication skills to articulate complex technical concepts Experience working with large data sets and computationally intensive projects Experience with high-performance computing Job Compensation Range The base salary range for this role is prorated and based on a full-time salary range of $200,000 -

Role: The Quant Researcher will report to a Stamford based Portfolio Manager and will focus on: Building, running, and maintaining power dispatch model for ERCOT and other major US ISOs Driving the model’s inputs and architecture to efficiently simulate power grid conditions and marginal pricing Continuously testing and improving the model, ensuring it accurately replicates historical conditions and effectively analyzes forward scenarios Communicating the model’s results and limitations to the wider investment team Responsibilities: Formulate and build a power dispatch model using Python and a commercial solver Collaborate with the PM to optimize model inputs and architecture Ensure the model replicates grid operations from historical conditions Suggest model improvements to decrease forecast error and improve scenario handling Regularly run the model and maintain up-to-date outputs in an internal database Communicate results and limitations to the wider investment team, including publishing results to team dashboards Requirements: Master or PhD in operations research, electrical engineering, applied mathematics, or a related quantitative field 5+ years of direct experience building power dispatch models (SCUC/SCED) using optimization solvers (Gurobi, CPLEX, etc.) Knowledge of power plant dispatch, grid operations (including capacity and AS obligations), and LMP pricing in US power markets Experience using SQL and timeseries databases Proficiency in Python and Git; additional experience with an OOP language a strong plus Domain knowledge in ERCOT, PJM, or CAISO preferred About Point72: Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led cultu

Why Work with Us Solve impactful problems. At Seven Research, our close-knit team unites brilliant minds passionate about pushing technological and scientific boundaries in the global markets. We provide state-of-the-art resources and cultivate intellectual freedom, enabling our people to develop groundbreaking solutions to the most complex challenges of our field. Our collaborative approach celebrates excellence from everyone, regardless of tenure. Your Role Our Deep Learning Researchers expand the boundaries of quantitative finance through the development of advanced deep learning models. You will conduct rigorous, systematic research to pioneer advanced methodologies, uncover sophisticated insights, and implement innovative approaches within our teams. What We’re Looking For We seek talented and knowledgeable problem-solvers with strong backgrounds in deep learning to come build with us. No financial knowledge is expected. Deep Learning Researcher candidates should have demonstrated strong applied research and critical analysis skills. We value team members who communicate clearly and can exercise ownership over projects. If working on challenging quantitative problems in a close-knit, research-driven environment excites you, we’d love to get to know you. The ideal candidate will possess most of the following: PhD degree in computer science or a related field Mastery of deep learning techniques and proven track record of building sophisticated predictive models using deep learning Publications in relevant journals and/or conference presentations Strong programming skills, including mastery of Python Strong problem-solving skills and research acumen Strong communication skills to articulate complex technical concepts Experience working with large data sets and computationally intensive projects Experience with high-performance computing Job Compensation Range The base salary range for this role is $200,000 - $300,000. This does not include other forms of co