71 Pattern Recognition Jobs

Title Gen AI Developer Mandatory Skills Python, Deep Learning, LLM, Langchain, RAG and Gen AI. Preferred Skills GCP/Any cloud. Mandatory Skills: AI Cognitive. Experience3-5 Years.

Backend/Annotator International Process Salary-: - 25 K CTC / Experience - 20 K CTC/ Fresher Perks and Benifits-: -Both side Cabs -5 Day working -Salary Increament after every 6 Months -Incentive Required Candidate profile -Immediate Joiners -Knowledge of Data Annotation preffered -Graduate can only apply(no result awaied) -Confortable working Rotational shifts -Team Player -Confortable in Reloaction -BCA/MCA Preffered

Annotator International Process Salary-: - 25 K CTC / Experience - 20 K CTC/ Fresher Assessment:- Data Annotation assessment Operations Round Perks and Benifits-: -Both side Cabs -5 Day working -Salary Increament after every 6 Months -Incentive Required Candidate profile -Immediate Joiners -Good Knowledge of Data Annotation -Graduate can only apply(no result awaied) -Confortable working Rotational shifts -Team Player -Confortable in Reloaction -BCA/MCA Preffered

International Process Salary - 22-23,000 In-Hand / Experience - 17,000 Fresher Assessment :- Data Annotation assessment Operations Round Graduate only Both side Cabs 5 Day working / Rotational shift / 2 day Rotational week off

Salary - 22,000 / Experience 17,000 / Fresher Assessment :- Data Annotation assessment Operations Round Graduate only 5 Day working / Rotational shift / 2 day Rotational week off

International Process Salary - 22,000 In-Hand / Experience - 17,000 In-Hand/ Fresher Assessment :- Data Annotation assessment Operations Round Graduate only Both side Cabs 5 Day working / Rotational shift / 2 day Rotational week off

As a Staff Security Researcher at Menlo Security, you will drive the future of web threat protection by researching real-world web-based attacks and applying your insights to enhance Menlo s browser isolation platform. You will also lead the transformation of security research workflows using AI and agentic automation , allowing our team to operate at a radically faster and more scalable pace. Our Expectations Proactively track and research emerging online threats across the web, dark web, and attacker infrastructure to identify trends and patterns. Build AI-driven and agentic workflows to automate repetitive research tasks such as threat hunting, IOC extraction, artifact enrichment, and pattern recognition Conduct an in-depth research the telemetry for patterns to build or enhance the existing products Develop advanced detection and prevention logic embedded in our browser isolation engine and threat analysis backend pipelines Lead design and development of data pipelines and infrastructure for collecting, analyzing, and classifying high-volume web traffic Partner closely with engineering, product, and threat intelligence teams to ship research-powe'red features into production Represent Menlo Security at industry conferences and in public research disclosures Your Experience Passionate researcher with a track record of finding, analyzing, and mitigating complex web threats Strong background in browser internals, web application security and detection of real-time threats (eg, phishing, malicious redirects, credential harvesting, exploit kits) Experience analyzing web-based malware, evasive scripts, obfuscation techniques, and malicious browser extensions Familiarity with DOM analysis, browser automation, browser exploits and passive/active crawling techniques Experience in malware traffic analysis, signature writing, and working with indicators of compromise (IOCs) Strong programming skills in Python and automation desired. Knowledge of LLMs, Agentic AI workflow automation is a plus. Prior experience integrating research outputs into a production system is highly desirable Prior experience of writing research blogs and presenting in conferences is desirable Qualifications MS or PhD in Computer Science, Security, or related field (or equivalent industry experience) Minimum 7+ years in a security research or applied security engineering role Excellent written and verbal communication skills; ability to clearly articulate research findings and product impact

- Job profile : Data Annotator - 5 Days working and 2 week offs - Rotational shifts and offs - Both side cabs as per international process - Salary : Freshers - 21k ctc, Experienced - 25k ctc - Rounds : Ops, Assessment Required Candidate profile - Decent english speaking candidates required - Graduation is mandatory to apply

Role & responsibilities 1. Pattern Making: Create and develop accurate patterns and prototypes for sofa covers, including calculating fabric requirements and creating marker plans. 2. Design Interpretation: Interpret design specifications and translate them into workable patterns and prototypes. 3. Fabric Optimization: Optimize fabric usage and minimize waste through efficient pattern making and marker planning. 4. Prototype Development: Develop and test prototypes to ensure fit, quality, and functionality. 5. Technical Guidance: Provide technical expertise and guidance to the design team, including advice on fabric selection, construction methods, and quality standards. 6. Collaboration: Collaborate with designers, product developers, and other stakeholders to ensure that patterns and prototypes meet design and product requirements. Preferred candidate profile SOFA INDUSTRY FURNITURE INDUSTRY

- Job profile : Data Annotator - 5 Days working and 2 week offs - Rotational shifts and offs - Both side cabs as per international process - Salary : Freshers - 21k ctc, Experienced - 25k ctc - Rounds : Ops, Assessment Required Candidate profile - Decent english speaking candidates required - Graduation is mandatory to apply

- Job profile : Data Annotator - 5 Days working and 2 week offs - Rotational shifts and offs - Both side cabs as per international process - Salary : Freshers - 21k ctc, Experienced - 25k ctc - Rounds : Ops, Assessment Required Candidate profile - Decent english speaking candidates required - Graduation is mandatory to apply

Dear Candidate, We are hiring an AI Research Engineer to develop novel algorithms and prototype cutting-edge AI models. Ideal for professionals with a strong background in deep learning and experimental development. Key Responsibilities: Research and implement new AI/ML architectures (transformers, GANs, RL, etc.) Prototype and benchmark models for performance and generalization Contribute to technical papers, open-source projects, or patents Work with compute-intensive infrastructure and large datasets Required Skills & Qualifications: Strong coding skills in Python and frameworks like PyTorch or TensorFlow Solid foundation in mathematics, deep learning, and optimization techniques Experience with distributed training and GPU acceleration Bonus: Publication record or contributions to academic/industry AI research Soft Skills: Strong troubleshooting and problem-solving skills. Ability to work independently and in a team. Excellent communication and documentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Srinivasa Reddy Kandi Delivery Manager Integra Technologies

Dear Candidate, We are hiring a Data Science Engineer to build production-ready data science pipelines and models. Ideal for professionals who blend software engineering with applied ML skills. Key Responsibilities: Design and develop ML pipelines for training, evaluation, and deployment Engineer data preprocessing and feature extraction systems Integrate models into applications and monitor post-deployment performance Collaborate with data scientists, engineers, and product teams Required Skills & Qualifications: Proficiency in Python, pandas, scikit-learn, and MLflow Experience with Spark, Airflow, or cloud ML pipelines Strong grasp of statistics, data structures, and ML model optimization Bonus: Exposure to MLOps tools and model versioning frameworks Soft Skills: Strong troubleshooting and problem-solving skills. Ability to work independently and in a team. Excellent communication and documentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Reddy Delivery Manager Integra Technologies

Salary - 25,000 / Experienced 20,000 / Freshers Graduation mandatory 5 Day working / Rotation shift / 2 day Rotation week off Assessment :- Data Annotation assessment Operations Round

You will be contributing towards building Forecasting / Prediction / Root-cause algorithms/AgenticAI/Vision algorithms by closely collaborating across teams and provide solution to business challenges. In most cases the prioritization of business challenges is based on impact and hence your contributions can have direct impact to our businesses. What you'll do: 1. Play a key role to solve complex AI problems, pivotal to Walmart s business and drive actionable insights from terabytes of data 2. Leverage data science tools and techniques, keeping abreast with the latest in the community to solve problems for Walmart at Scale and take them to PROD using best industry standard practices. 3. Develop ideas leveraging GenAI, Agentic AI and take them to PROD 4. Take forward the solutions into Pipelines/APIs into PROD as needed by the business 5. Research, learn/disseminate & adapt new technologies to solve problems & improve upon existing solutions 6. Brainstorm, review and mentor junior associates in providing robust data science solutions What you'll bring: M.Tech with 5+ years of relevant experience in Machine learning / Artificial intelligence Problem solver at heart with experience in taking solutions to PROD Proficiency with Python/Java/PySpark/BiqQuery etc Proficiency with ML libraries sklearn/pytorch/tensorflow etc Good knowledge of commonly used design patterns in data science Cloud friendliness (GCP/Azure etc) to leverage distributed computing/scalability Good communication / influencing / mentoring skills with inclination to high ownership and commitment Minimum Qualifications... Minimum Qualifications:Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years experience in an analytics related field. Option 3: 6 years experience in an analytics or related field. Preferred Qualifications... Masters degree in Computer Science, Computer Engineering, Computer Information Systems, Software Engineering, or related area and 2 years experience in software engineering or related area

Work with broader team to buid, anayze and improve the AI soutions. You wi aso work with our software deveopers in consuming different enterprise appications Required education Bacheor's Degree Preferred education Master's Degree Required technica and professiona expertise Resource shoud have 5-7 years of experience. Sound knowedge of Python and shoud know how to use the ML reated services. Proficient in Python with focus on Data Anaytics Packages. Strategy Anayse arge, compex data sets and provide actionabe insights to inform business decisions. Strategy Design and impementing data modes that hep in identifying patterns and trends. Coaboration Work with data engineers to optimize and maintain data pipeines. Perform quantitative anayses that transate data into actionabe insights and provide anaytica, data-driven decision-making. Identify and recommend process improvements to enhance the efficiency of the data patform. Deveop and maintain data modes, agorithms, and statistica modes Preferred technica and professiona experience Experience with conversation anaytics. Experience with coud technoogies Experience with data exporation toos such as Tabeu

Salary - 25,000 / Experience 20,000 / Fresher Assessment :- Data Annotation assessment Operations Round Graduate only 5 Day working / Rotation shift / 2 day Rotation week off

Job Title: Machine Learning Engineer Job Description: The ideal candidate will have a strong background in applying machine learning to Digital Signal Processing, particularly in audio signal analysis and accelerometer data analysis. This role involves developing innovative ML models, including CNNs, RNNs, and GANs, and leveraging techniques such as LLMs and low-rank adaptation to enhance our product offerings. The successful candidate will also be proficient in MLOps practices and deploying ML models into production environments. Key Responsibilities: Custom ML Model Development: Design and build custom machine learning models from scratch, tailored to specific applications in digital and audio signal processing and accelerometer data analysis. The ideal candidate will have published papers or demonstrable customized models custom-built for specific problem domains. Advanced ML Techniques: Apply advanced machine learning techniques, including time series analysis, CNNs, RNNs, GANs, LLMs, and low-rank adaptation, to solve complex problems in pet wellness technology. Data Analysis and Processing: Perform sophisticated data analysis and preprocessing to prepare datasets for machine learning applications. MLOps and Model Deployment: Implement MLOps practices to streamline the deployment of machine learning models into production, ensuring scalability, performance, and reliability. Performance Optimization: Continuously monitor and optimize ML models to improve accuracy and efficiency. Cross-functional Collaboration: Work closely with product development, engineering, and data science teams to integrate ML models into Hoomanely Inc.'s product ecosystem. Research and Innovation: Stay abreast of the latest developments in machine learning and signal processing to drive innovation within the company. Qualifications: Bachelors/Masters in Engineering in Computer Science, Data Science, Electrical Engineering, or a related field focusing on machine learning. Preferably from a top tier (Tier 1 in India/US - IIT, NIT equivalent) institute. Proven experience building custom ML models for digital signal processing, audio signal analysis, and accelerometer data analysis, with a minimum of 6 years of relevant experience. Strong knowledge of time series-based machine learning, CNNs, RNNs, GANs, LLMs, and low-rank adaptation techniques. Experience with MLOps practices and deploying machine learning models in production environments. Proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch) and programming languages (e.g., Python). Excellent analytical, problem-solving, and communication skills. Preferred Skills: Experience in pet wellness or related industries. Familiarity with IoT device data processing and analysis. Knowledge of cloud computing platforms and services for ML deployment. Application Process: Interested candidates should submit a resume, cover letter highlighting their machine learning expertise and specific projects related to signal processing and model deployment, and links to relevant work or publications. The selection process will include technical interviews, a practical machine learning assessment, and discussions on past projects and contributions.

Work in a democratic environment where decisions are driven by logic Keeping all engineering fundamentals in mind and solving through first principles. Pattern recognition and solving through automating the mundane problems Consume complexity within and provide the best experience to the users. You will help the existing team to improve the reliability, stability, and quality of the application. You will contribute to inFeedo s roadmap and help us build a one-of-a-kind AI based employee engagement product. Who will you work with? Kanishk , Abhishek , Akshay Rastogi, Varun and of course the rest of the jovial inFeedo team. Job requirements What skills do you need? 3+ years of industry experience in a software engineering role, preferably building a SaaS product. You should be able to demonstrate the significant impact your work had on the product and/or the team. Experience collaborating directly with product teams, designers, and customer success teams. A proven track record of delivering value to customers or users is a must. Good communication skills since youll directly work with a lot of stakeholders at the customer end. Ability to handle the stress of multiple ongoing projects and ad-hoc ops. Good to have knowledge of Node.js and MySQL. What happens after you apply? Step 1: In 15-20 days, if your application shines and aligns with our criteria, our People Success Team will reach out to you for a quick chat about your journey so far. Step 2: Within 4-6 days of that initial chat, well introduce you to your potential future team, and we will guide you through the rest of the hiring process. Step 3: If our vibes align after meeting the Hiring Team, youll have an opportunity to chat with the founders. If we mutually enjoy the conversation, well celebrate with a virtual high-five and outline the next steps for you to join us. At any step, if things dont work out, we proactively send an email. You are welcome to ask for detailed feedback and re-apply in the future. :

Quant Analyst (Position # #3001_QA_FI_APAC ) Location Gurugram, India Share Position Summary We are seeking a highly motivated and analytical Quant Analyst to join Futures First. The role involves supporting development and execution of quantitative strategies across financial markets. Job Profile Statistical Arbitrage & Strategy Development Design and implement pairs, mean-reversion, and relative value strategies in fixed income (govvies, corporate bonds, IRS). Apply cointegration tests (Engle-Granger, Johansen), Kalman filters, and machine learning techniques for signal generation. Optimize execution using transaction cost analysis (TCA). Correlation & Volatility Analysis Model dynamic correlations between bonds, rates, and macro variables using PCA, copulas, and rolling regressions. Forecast yield curve volatility using GARCH, stochastic volatility models, and implied-vol surfaces for swaptions. Identify regime shifts (e.g., monetary policy impacts) and adjust strategies accordingly. Seasonality & Pattern Recognition Analyse calendar effects (quarter-end rebalancing, liquidity patterns) in sovereign bond futures and repo markets. Develop time-series models (SARIMA, Fourier transforms) to detect cyclical trends. Back testing & Automation Build Python-based back testing frameworks (Backtrader, Qlib) to validate strategies. Automate Excel-based reporting (VBA, xlwings) for P&L attribution and risk dashboards. Integrate Bloomberg/Refinitiv APIs for real-time data feeds. Requirements Education Qualifications B.Tech Work Experience 0-3 years Skill Set Must have: Strong grasp of probability theory, stochastic calculus (Ito s Lemma, SDEs), and time-series econometrics (ARIMA, VAR, GARCH). Must have: Expertise in linear algebra (PCA, eigenvalue decomposition), numerical methods (Monte Carlo, PDE solvers), and optimization techniques. Preferred: Knowledge of Bayesian statistics, Markov Chain Monte Carlo (MCMC), and machine learning (supervised/unsupervised learning) Libraries: NumPy, Pandas, statsmodels, scikit-learn, arch (GARCH models). Back testing: Backtrader, Zipline, or custom event-driven frameworks. Data handling: SQL, Dask (for large datasets). Power Query, pivot tables, Bloomberg Excel functions (BDP, BDH). VBA scripting for various tools and automation. Experience with C++/Java (low-latency systems), QuantLib (fixed income pricing), or R (statistical l). Yield curve modelling (Nelson-Siegel, Svensson), duration/convexity, OIS pricing. Credit spreads, CDS pricing, and bond-CDS basis arbitrage. Familiarity with VaR, CVaR, stress testing, and liquidity risk metrics. Understanding of CCIL, NDS-OM (Indian market infrastructure). Ability to translate intuition and patterns into quant models. Strong problem-solving and communication skills (must explain complex models to non-quants). Comfortable working in a fast-paced work environment. Location: Gurugram, Work hours will be aligned to APAC Markets.

Opening is with BUYING HOUSE in sector-37 gurgaon Develop patterns based on design sketches and technical specifications, using OPITEX AND MANUALCAD software OPITEX Sizing and Grading: Create patterns for multiple sizes and styles, ensuring accurate sizing and grading to maintain design integrity. Marker Making: Generate markers for efficient fabric utilization in production. Collaboration: Work with designers, sample makers, and production teams to address any fitting issues and ensure patterns are accurate and suitable for production. Documentation: Maintain and organize pattern files, ensuring they are readily available for reference. Stay Updated: Keep abreast of industry trends and advancements in pattern making techniques. Essential Skills: Proficiency in OPITEX Strong understanding of garment construction and fabric knowledge. Excellent attention to detail and precision in pattern making. Effective communication and collaboration skills to work with various teams.

Position Overview: We are seeking a Data Scientist Engineer with experience bringing highly scalable enterprise SaaS applications to market. This is a uniquely impactful opportunity to help drive our business forward and directly contribute to long-term growth at Virtana. If you thrive in a fast-paced environment, take initiative, embrace proactivity and collaboration, and you re seeking an environment for continuous learning and improvement, we d love to hear from you! Virtana is a remote first work environment so you ll be able to work from the comfort of your home while collaborating with teammates on a variety of connectivity tools and technologies. Job Location- Pune/ Chennai/ Remote You can schedule with us through Calendly at https: / / calendly.com / bimla-dhirayan / zoom-meeting-virtana Role Responsibilities: Research and test machine learning approaches for analyzing large-scale distributed computing applications. Implement different models AI and ML algorithms for prototype and production systems. Test and refine the models and algorithms with live customer data to improve accuracy and efficacy. Work with other functional teams to integrate implemented systems into the SaaS platform Suggest innovative and creative concepts and ideas that would improve the overall platform Qualifications: The ideal candidate must have the following qualifications: 3+ years experience in practical implementation and deployment of ML based systems preferred. BS/B Tech or M Tech/ MS (preferred) in Applied Mathematics or Statistics, or CS/Engineering with strong mathematical/statistical background Strong quantitative and analytical skills, especially statistical and ML techniques, including familiarity with different supervised and unsupervised learning algorithms Implementation experiences and deep knowledge of Classification, Time Series Analysis, Pattern Recognition, Reinforcement Learning, Deep Learning, Dynamic Programming and Optimization Experience in working on modeling graph structures related to spatiotemporal systems Programming skills in Python Experience in developing and deploying on cloud (AWS or Google or Azure) Experience in understanding and usage of LLM models and Prompt engineering is preferred. Good verbal and written communication skills Familiarity with well-known ML frameworks such as Pandas, Keras and TensorFlow

ABOUT US: Paxcom a leading Digital Solution Provider is a part of Paymentus now, a leading electronic bill payment provider. PaymentUs leads the North American marketplace in electronic bill payment solutions and have recently signed a partnership with Paypal and Alexa. Recognized by Deloitte as one of the fastest growing companies in North America, Paymentus is the premier provider of innovative, reliable, and secure electronic bill presentment and payment services for more than 1300 clients leading the Utility, Telecom, Auto Finance, Insurance, Consumer Finance, and Health industries. Our comprehensive eBilling and Payment Platform allows our clients to provide a unified customer bill-pay experience that includes online, mobile, IVR, text, kiosk, and agent-assisted channels, as well as a full range of customer communication options. For more details, please visit www.paymentus.com Job Location: Gurugram Job Type: Permanent Interview process: Coding challenge >> Round 1 (Technical Webcam>> Managerial webcam round (Tech + Managerial) Join our team as an AI/ML Specialist and contribute to the delivery of cutting-edge capabilities by leveraging the latest technologies. In this role, you will collaborate closely with stakeholders and technical team members to drive impactful solutions. Requirements: Minimum of 4 years of relevant experience in Data Science, Machine Learning, and AI techniques, with a strong background in open source technologies. Exposure to Gen AI models such as Falcon, Llama 2, GPT 3.5 & 4, and Prompt Engineering. Experience in creating basic RAG pipelines. Familiarity with cloud services such as AWS (EC2, S3, ECR). Expertise in at least one of the following areas: Time Series Analysis, Standard Machine Learning Algorithms, or Deep Learning. Experience with statistical analysis, data mining, temporal and pattern analysis, correlation of events, predictive modeling, and pattern recognition for various use cases. Area of expertise: In-depth knowledge and hands-on experience with at least one object detection framework including TFOD, Detectron, and YOLO, operating within a large-scale distributed platform. Or, Solid understanding of Deep Learning fundamentals (CNN, RNN, attention/memory) and extensions (Transformer, LSTM, ResNet, etc.). Or, Knowledge of state-of-the-art ML algorithms such as BERT, ELMo, GPT, GPT-2, XLNET, T5, LSTMs, CRFs, etc., APIs, ONNX, and open-source methods. Strong experience with data science tools including Python scripting, CUDA, numpy, scipy, matplotlib, scikit-learn, bash scripting, and Linux environment. on-making and the ability to justify actions effectively. Why Join Us Empowerment to focus on pivotal tasks. Embrace a flexible and laid-back work atmosphere. Prioritize work-life balance. Appreciate collaborating with a goal-driven team. Interact with an approachable, supportive, and accomplished management team. Competitive compensation package. Engage with cutting-edge technologies as they emerge in the market. Witness the direct impact of your code on the lives of millions of customer.

Job Description: Design and development of robust, efficient and real-time algorithms for Analysis and Classification of Medical Images using state-of-art techniques from Image Processing, Pattern Recognition, Computer Vision and Machine Learning. Development of innovative solutions for various problems related to Segmentation, Detection, classification and quantification of high resolution (~50K x 50K) coloured images for applications in Digital Pathology. Design of efficient models in Machine Learning / Deep Learning for accurate analysis and classification of High resolution Images. To learn and update oneself on the emerging trends of technology and apply them in the projects for better results leading to publications and patents. Explore new areas of Expert Systems, Cognitive Computing, Artificial Intelligence, Computational Photography etc. Assign tasks to team members and monitor progress and performance management of the team members Lead module development, production support and maintenance activities Monitor, track and analyse module control metrics Candidate Profile: Academic background: PhD / M. Tech. / M.E. / M.C.A. (preferably from CSE / IT / ECE / EE background) B. Tech. / B.E. with exceptional academic/professional background Experience (Industrial / R&D) 6+ years of experience Specialization / Domain knowledge: Image Processing, Pattern Recognition, Computer Vision Machine Learning, Deep Learning Experience with Medical Image Processing is an added advantage Technical Hands-on experience in developing and implementing Image Processing and Machine Learning algorithms Strong programming knowledge in any of C, C++, Python, JAVA etc. Hands-on experience in using Deep Learning frameworks and libraries Concepts of parallel architecture on GPU is an added advantage Key Sills : Image Processing, Segmentation, Pattern recognition, Computer Vision, Machine Learning, Image Processing, Neural Network To know more about us, do visit us at https://lnkd.in/egFmBSG4. Follow us on - https://www.facebook.com/airamatrix https://twitter.com/airamatrix

Want to be part of the Data & Analytics organization, whose strategic goal is to create a world-class Data & Analytics company by building, embedding, and maturing a data-driven culture across Thomson ReutersDo you have a passion for ensuring AI systems are robust, reliable, and responsible We are looking for a highly motivated individual with strong analytical and technical skills for the position of AI Validation Engineer. You will play a critical role in evaluating the performance, accuracy, and fairness of our AI solutions, including the AI Assistant and its associated skills. You will help ensure that our AI systems meet the highest standards of quality and align with our responsible AI principles. About the Role In this opportunity as AI Governance and Ethics Engineer, you will Collaborate with data scientists, AI engineers, and product managers to understand AI system requirements and functionalities. Develop and execute comprehensive test plans to assess the performance, accuracy, robustness, and fairness of AI models and applications. Design and implement automated testing frameworks for efficient and continuous AI validation. Analyze AI model outputs, identify potential biases, errors, or limitations, and provide actionable feedback to the development team. Contribute to the development and implementation of responsible AI guidelines and best practices within the organization. Stay abreast of the latest advancements in AI validation techniques and technologies. Document testing procedures and results clearly and concisely. Collaborate with stakeholders to address and resolve identified AI validation issues. About You You're a fit for the role of AI Governance and Ethics Engineer if your background includes Act as a model governance consultant and educator on model projects Ensure end-end model flows within these projects are aligned and controlled effectively Ensure that Policies, Standards and Guiding Principles are applied within the solution designs Work with cross-functional model stewards to monitor and manage model health within your portfolio Take ownership of the model issue management and resolution process within your portfolio Collaborate with members in the business domains to encourage and ensure Responsible AI practices, processes and procedures are followed Drive education/behavioural change in the wider TR community, towards a de-centralized data rights & responsibilities culture Work with the compliance partners (Operations & Assurance, Policy & Ethics, Stewardship, legal) to draft or amend policies, standards and model control proposals, to meet business model needs Work with the Ai Enablement team to drive best practices and compliance with model policies and standards within your portfolio Identify opportunities to improve efficiencies, advancements and automation #LI-VGA1 Whats in it For You Hybrid Work Model Weve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrows challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our valuesObsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound excitingJoin us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com.