142 Pattern Recognition Jobs

As a Computer Vision Architect with 10-15 years of experience, you will be responsible for leading the development of advanced computer vision systems. Your role will involve managing dataset generation, improving image processing techniques, and overseeing model training and pattern recognition projects. You must be proficient in Python and related libraries such as OpenCV, TensorFlow, and PyTorch, with a solid understanding of linear algebra, calculus, and statistics. Your key responsibilities will include leading the computer vision team, providing mentorship and guidance to junior members, developing and implementing strategies for advanced computer vision projects, and collaborating with cross-functional teams to integrate computer vision solutions into products. You will design, develop, and optimize models for image classification, object detection, and segmentation. Additionally, you will innovate and implement state-of-the-art algorithms and techniques for pattern recognition and face detection. In terms of dataset generation and image processing, you will oversee the creation and management of large-scale datasets for training and evaluation. You will also enhance image processing pipelines, focusing on techniques like noise reduction and data compression. As part of model training and evaluation, you will lead the end-to-end process of model training, validation, and deployment. You will utilize Python and relevant libraries (OpenCV, TensorFlow, PyTorch) for model development and training, ensuring models meet accuracy and performance standards through rigorous testing and iteration. Your technical expertise will be crucial in applying strong mathematical foundations in linear algebra, calculus, and statistics to solve complex computer vision problems. It is important to stay updated with the latest research and advancements in the fields of computer vision and machine learning. In terms of project management, you will be responsible for managing multiple projects simultaneously, ensuring timely delivery and adherence to project requirements. Effective communication of progress, challenges, and results to stakeholders is key. To qualify for this role, you should have a Bachelors or Masters degree in Computer Science, Electrical Engineering, Mathematics, or a related field. You should have a proven track record of leading successful computer vision projects and possess excellent problem-solving skills, attention to detail, and strong communication and collaboration skills. Preferred qualifications include publications or patents in the field of computer vision, experience with edge computing and real-time image processing, and familiarity with other programming languages and frameworks related to AI and machine learning.,

You will be responsible for the full-time on-site role of a Head of Artificial Intelligence based in Jalandhar. In this position, you will oversee AI and Machine Learning projects, offering strategic guidance and technical expertise. Your duties will include developing and implementing AI solutions, managing a team of AI specialists, collaborating with cross-functional teams to integrate AI technologies, and ensuring the successful deployment of AI models in real-world applications. To excel in this role, you must possess strong expertise in Computer Science and Data Science, proficiency in Pattern Recognition techniques, experience with Natural Language Processing (NLP) and related technologies, as well as knowledge and hands-on experience in Computer Vision. Additionally, excellent leadership and team management skills, strong analytical and problem-solving abilities, and a Master's or Ph.D. in Computer Science, Data Science, or a related field are required. Previous experience in leading AI projects from concept to deployment will be advantageous. Furthermore, your role will involve creating AI videos for fashion brand campaigns, specifically focusing on the fashion category. For instance, you will work on leather shoes, leather jackets, and leather travel bags using PATINA service to produce unique pieces across categories with bespoke service.,

As a Computational Thinking Instructor based in Chennai, you will play a crucial role in imparting essential problem-solving skills to students by emphasizing logic, pattern recognition, and algorithmic thinking. Your primary responsibilities will include designing and delivering comprehensive computational thinking curriculum, engaging students through interactive lessons, evaluating student progress, and actively contributing to the development of an innovative learning environment. Your key duties will involve collaborating with colleagues to incorporate computational thinking into various educational programs, assessing student work to provide constructive feedback, and ensuring that the learning experience is both enriching and engaging. To excel in this role, you should possess a Bachelors or Masters degree in Computer Science, Mathematics, or a related field. Prior experience in teaching computational thinking or programming is essential, along with proficiency in programming languages such as Python, Java, or Scratch. Strong communication and instructional skills are also necessary to effectively convey complex concepts to students and facilitate their learning journey.,

Your Role Design and develop Agentic AI architectures that can autonomously plan, reason, and execute tasks. Implement multi-agent communication protocols for agent-to-agent collaboration and coordination. Work with Large Language Models (LLMs) such as LLaMA, GPT, etc., for language understanding, generation, and task planning. Develop and integrate Retrieval-Augmented Generation (RAG) pipelines to enhance the reasoning capability of agents with external knowledge. Perform fine-tuning of foundational models for specific domains, tasks, or use cases. Design and experiment with lightweight models (e.g., Phi, Tiny LLMs) for efficiency in real-time or on-device scenarios. Collaborate cross-functionally with Data Scientists, ML Engineers, and Product Teams to deliver end-to-end AI solutions. Your Profile Proven experience in developing and deploying Agentic AI systems. Strong experience with LLMs, particularly Metas LLaMA family or similar open-source models. Hands-on experience with RAG (Retrieval-Augmented Generation) architectures and related tools like LangChain, Haystack, etc. Knowledge and experience with model fine-tuning using frameworks like HuggingFace Transformers, PEFT, or LoRA. Experience in implementing agent-to-agent communication frameworks and multi-agent task handling systems. Proficiency in Python and AI/ML libraries such as PyTorch, TensorFlow, Transformers, etc. Familiarity with prompt engineering and chaining logic for LLMs. What youll love about working here You can shape your career with us. We offer a range of career paths and internal opportunities within Capgemini group. You will also get personalized career guidance from our leaders. You will get comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage or new parent support via flexible work. You will have theopportunity to learn on one of the industry"s largest digital learning platforms, with access to 250,000+ courses and numerous certifications.Were committed to ensure that people of all backgrounds feel encouraged and have a sense of belonging at Capgemini. You are valued for who you are, and you can bring your original self to work . About Capgemini Location - Pune,Bengaluru,Chennai,Hyderabad

** DO NOT APPLY ON NAUKRI ** WA CV: 888-464-3032 --- Part-Time Job: 4 hours / day -- (Fixed Time) --- Online Image Checking & Tagging Very Sharp Focus Excellent Computer & Internet Knowledge General Awareness Good English Required Candidate profile Part-Time Job 4 hours / day -- (Fixed Time) Mon-Sat Must have own laptop & Broadband Wi-Fi Good English

Job Title: AI Engineer Location: Hyderabad,Chennai,Bangalore Experience: 3 - 6 Years Contact Informations: Click here to upload your CV / Resume We accept PDF, DOC, DOCX, JPG and PNG files SUBMIT APPLICATION Verification code successfully sent to registered email Invalid Verification Code! Thanks for the verification! Our support team will contact you shortly!.

About us: Skit.ai is the pioneer Conversational AI company transforming collections with omnichannel GenAI-powered assistants. Skit.ai s Collection Orchestration Platform, the world s first solution, streamlines collection conversations by syncing channels and accounts. Skit.ai s Large Collection Model (LCM), a collection LLM, powers the strategy engine to optimize interactions, enhance customer experiences, and boost bottom lines for enterprises. Skit.ai has received several awards and recognitions, including the BIG AI Excellence Award 2024, Stevie Gold Winner 2023 for Most Innovative Company by The International Business Awards, and Disruptive Technology of the Year 2022 by CCW. Skit.ai is headquartered in New York City, NY. Visit https://skit.ai/ Job Title : Quality Analyst Voice, Chat & Email (International Collections Process) Location : Bangalore (100% WFO) Shift Hours : 6:30 pm - 3:30 am IST About the Role: Are you detail-obsessed, passionate about consumer conversations, and experienced in quality assurance across voice and digital channelsJoin our fast-paced, AI-powered collections team where every interaction matters. We re looking for a Quality Analyst who can help us maintain the highest standards across voice, chat, and email interactions in a performance-driven environment. What Youll Do Monitor and evaluate consumer interactions across voice, chat, and email to ensure adherence to scripts, compliance standards, and communication quality. Conduct audits and identify improvement areas in agent performance, tone, empathy, process adherence, and resolution accuracy. Collaborate with training and operations teams to provide feedback and support performance improvement. Document quality scores, trends, and red flags, ensuring accurate and actionable reporting. Participate in calibration sessions and contribute to QA guideline refinement. Flag and escalate high-risk or non-compliant conversations per regulatory and internal guidelines. What We re Looking For 2+ years of experience in a Quality Analyst role for international BPO or collections operations, with exposure to voice and digital channels. Strong analytical and listening skills, with a sharp eye for detail and pattern recognition. Excellent verbal and written communication in English. Experience working with QA scorecards, feedback systems, and CRM/dialer tools. Comfortable with US time zones (night shifts) and a fast-changing environment.

Position Overview: We are seeking a Senior 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. Role Responsibilities: Research and test machine learning approaches for analyzing large-scale distributed computing applications. Develop production-ready implementations of proposed solutions across different models AI and ML algorithms, including testing on live customer data to improve accuracy, efficacy, and robustness Work closely 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. Job Location - Pune, Chennai or Remote Qualifications: The ideal candidate must have the following qualifications: 6 + years experience in practical implementation and deployment of large customer-facing ML based systems. MS or M Tech (preferred) in applied mathematics/statistics; CS or Engineering disciplines are acceptable but must have with strong quantitative and applied mathematical skills In-depth working, beyond coursework, familiarity with classical and current ML techniques, both supervised and unsupervised learning techniques and 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 is a must Experience in understanding and usage of LLM models and Prompt engineering is preferred. Experience in developing and deploying on cloud (AWS or Google or Azure) Good verbal and written communication skills Familiarity with well-known ML frameworks such as Pandas, Keras, TensorFlow

Role: AI Solutions Architect - R&D Vacancies: 11 Year of Passing Out: 2025, 2024, 2023 Education: Bachelors/Masters/PhD in AI & Data Science, Machine Learning, Mathematics and Statistics. Job Location: Mandaveli, Chennai Key Responsibilities: - Architect scalable transformer-based AI model infrastructures. - Lead the development of an in-house AI framework and utilize it to build robust, scalable foundation models. - Collaborate with researchers to translate advanced research into robust, scalable architectures. - Evaluate existing AI infrastructures, propose enhancements, and optimize model deployments for performance, efficiency, and scalability. - Design and implement robust AI pipelines and workflows from prototyping through experimentation phases. - Develop novel frameworks and algorithms tailored to specific research goals. - Systematic exploration of scaling laws and hyperparameter configurations to optimize model performance and efficiency. - Provide technical leadership and mentorship on AI infrastructure and architectural decisions. - Stay abreast of the latest AI technologies, research developments, and emerging frameworks. Required Skills and Qualifications: - Strong logical reasoning and analytical skills. - Solid foundation in Mathematics including calculus, probability, statistics, and linear algebra. - Proficiency or willingness to learn programming languages such as Rust and CUDA for high-performance implementations. - Excellent problem-solving, and analytical skills. - Demonstrated ability to work in a collaborative, fast-paced research-driven environment. - Bachelors/Masters/PhD in AI & Data Science, Machine Learning, Mathematics and Statistics. What We Offer: - A dynamic and innovative work environment in a cutting-edge AI research team. - Opportunities for professional growth, mentorship, and learning. - Competitive salary and benefits. - Access to the latest tools and technologies in AI. Important: Please read the guidelines clearly before applying: https://blubridge.ai/join-our-team

Amrita Vishwa Vidyapeetham, Amritapuri Campus is inviting applications for the position of Research Assistant focusing on targeting laundry malodour through bacteriophages. The role requires a candidate with an MSc in Computer Science or Bioinformatics or related field, along with familiarity in AI tools for pattern recognition. As a Research Assistant, your primary responsibility will be to develop AI tools for microbial contamination detection using microscopy. This project falls under the Job Category of Project and the organization is looking to fill one position for this role. If you are interested in contributing to cutting-edge research in the field of bacteriophages and microbial contamination detection, please reach out to hr-asbt@am.amrita.edu for further details. The deadline for applications is July 31, 2025.,

The candidate will be part of the People Analytics team and is expected to build an understanding of KGS people's metrics including headcount, attrition, projection, compensation, and learning among other HR metrics. Your role will involve generating and delivering various levels of MIS reports, interpreting patterns, creating insightful dashboards, and analytical reports. This position requires close collaboration with HRBPs to understand business requirements, provide analytical, compensation, and bonus related support. You will also engage with HR colleagues to manage ongoing support. Data Analytics & Visualization is a core aspect of this role. You should be proficient in collecting, analyzing, and interpreting business data, and turning them into meaningful and actionable insights. You must be capable of identifying trends and patterns in complex datasets and presenting findings effectively.,

As a Software Solutions Provider dedicated to being a valuable partner in our clients" success, Compusoft Advisors India Pvt. Ltd. offers world-class ERP, CRM, Cloud, and Mobility solutions at an affordable price. With a presence across India and Singapore, we serve customers across various domains, including Manufacturing, Supply Chain, Retail, Financial Institutions, Real Estate, Education, IT and Professional Services, Aerospace, Aviation, and Oil & Energy. This full-time on-site role for an AI Technofunctional Consultant based in Thane requires the successful candidate to implement AI-driven solutions and integrate AI technologies with enterprise applications. The AI Technofunctional Consultant will also be responsible for consulting on AI best practices, collaborating with various teams to understand business requirements, conducting pattern recognition, deploying machine learning models, performing natural language processing (NLP) tasks, and continuously enhancing AI capabilities to meet client needs. The ideal candidate for this role should have a minimum of 5 to 7 years of experience as a Data Scientist or Data Analyst. Strong capabilities in Pattern Recognition and Machine Learning, expertise in Natural Language Processing (NLP) and Data Science, consulting skills to translate business requirements into technical solutions, excellent analytical and problem-solving skills, and the ability to work collaboratively with cross-functional teams are essential for this position. Experience with enterprise applications (ERP, CRM) would be a plus. Educational Qualifications for this role include a Data Science or Engineering degree, with a Master's degree in Computer Science, Data Science, AI, or a related field being preferred.,

As a ML Engineer/Data Scientist at Innova ESI in Bengaluru, you will be responsible for leveraging your strong background in Computer Science and Algorithms to work on pattern recognition, neural networks, algorithms, and statistical methods in order to deliver end-to-end data solutions. Your role will involve collaborating in cross-functional teams to drive digital transformation through innovative and sustainable IT solutions. You should have a deep understanding of machine learning and NLP, along with commercial experience in building and deploying LLM solutions. With 4-8 years of relevant experience, you are expected to demonstrate exceptional coding ability, particularly in Python, and be familiar with ML tools and libraries like TensorFlow, PyTorch, pandas, and scikit-learn. Your proficiency in Pattern Recognition and Neural Networks, combined with knowledge of Statistics and its application in data analysis, will be key in working with complex algorithms and data models. In addition, you should have a strong understanding of MLOps best practices and experience in deploying LLM applications to production at scale. As a problem solver and self-starter, you enjoy tackling difficult problems and finding optimal solutions independently as well as in a collaborative team environment. Your strong communication skills will enable you to effectively articulate complex technical concepts to non-technical stakeholders. This full-time hybrid role offers flexibility for some remote work while being primarily based in Bengaluru. If you meet the qualifications and are excited about driving digital transformation through innovative data solutions, we encourage you to share your resume with us at jaya.sharma@innovaesi.com.,

Key Responsibilities:Develop and optimize generative AI models using state-of-the-art architectures such as transformers, GANs, VAEs, or diffusion models.Fine-tune pre-trained large language models and multimodal models for specific business use cases.Design scalable and efficient AI pipelines for training, inference, and deployment in production environments.Collaborate with cross-functional teams including data scientists, ML engineers, product managers, and software developers to integrate generative AI capabilities into products.Implement techniques for prompt engineering, data augmentation, and model evaluation.Stay up to date with the latest research and advancements in generative AI and apply them to real-world problems.Troubleshoot model performance issues and improve accuracy, reliability, and latency.Write clean, maintainable code and contribute to AI/ML infrastructure and tooling.

such as high-value complex Application & Product Engineering, Data & Analytics, Cloud, DevOps, Data & MLOps, Quality Engineering, and Business Automation. Join crossfunctional teams to design, develop, deploy, and finetune generative AI systems , including LLMs, retrievalaugmented generation (RAG), and AI agents Build and maintain scalable, secure backend services commonly using Python and frameworks such as FastAPI

Overview The AI Engineering team at MSCI is seeking a Senior Associate to help build and scale our internal platform for deploying intelligent agents. This platform enables developers and non-technical teams to quickly build, test, and deploy agents that interact with internal APIs and data while respecting entitlements and data boundaries. You will work in close collaboration with engineers across cloud infrastructure, ML ops, and security to ensure the agent platform is robust, flexible, and easy to use. This role requires a passion for platform usability, developer experience, and pragmatic engineering in cross-cloud (Azure + GCP) environments. Responsibilities Implement and improve internal tooling and runtimes for deploying agent-based applications across MSCI teams. Integrate entitlement and data-privacy policies into AI workflows using internal security and identity layers. Develop reusable libraries and interfaces for agents to interact with MSCI services via MCP and additional integrations . Collaborate with UX and internal client teams to build low-friction, high-compliance agent deployment pathways. Contribute to observability, sandboxing, and monitoring capabilities for agent executions and workflows. Qualifications Experience building testing, validation, or observability systems in ML or production software environments. Working knowledge of common agent architectures, LLM prompting strategies, and feedback mechanisms. Comfort working with structured logging, tracing, and evaluation frameworks across GCP or Azure environments. Familiarity with common agentic development platforms like OpenAI agents sdk , google’s adk , langchain , etc Strong analytical mindset with a focus on automation and reproducibility of complex behaviour traces. Demonstrated ability to work across disciplines (engineering, product, risk) to define validation metrics and processes. What we offer you Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing. Flexible working arrangements, advanced technology, and collaborative workspaces. A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results. A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients. Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development. Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles. We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women’s Leadership Forum. At MSCI we are passionate about what we do, and we are inspired by our purpose – to power better investment decisions. You’ll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers. This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry. MSCI is a leading provider of critical decision support tools and services for the global investment community. With over 50 years of expertise in research, data, and technology, we power better investment decisions by enabling clients to understand and analyze key drivers of risk and return and confidently build more effective portfolios. We create industry-leading research-enhanced solutions that clients use to gain insight into and improve transparency across the investment process. MSCI Inc. is an equal opportunity employer. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation for any part of the application process, please email Disability.Assistance@msci.com and indicate the specifics of the assistance needed. Please note, this e-mail is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries. To all recruitment agencies MSCI does not accept unsolicited CVs/Resumes. Please do not forward CVs/Resumes to any MSCI employee, location, or website. MSCI is not responsible for any fees related to unsolicited CVs/Resumes. Note on recruitment scams We are aware of recruitment scams where fraudsters impersonating MSCI personnel may try and elicit personal information from job seekers. Read our full note on careers.msci.com

The Tech Support/ Project Delivery - Associate will be responsible for understanding, analyzing, and troubleshooting the issues of our software clients (Charge Point Operators), vehicle telematics, vehicle tracking system, and fleet operations. An understanding of networking and troubleshooting would be an added advantage. Responsibilities include understanding and analyzing requirements provided by customers, creating service requests within the Customer Relationship Management (CRM) system, data management and analysis for pattern recognition, providing direction to customers for online self-service and web-based solutions, escalating unresolved customer issues to Technical Support, staying updated on client performance requirements and product line, and achieving specified performance goals. Additional responsibilities may include being ready to learn and upskill to a technical role, receiving instructions on routine work and new projects, problem-solving, being customer-focused, self-driven and independent, people-oriented, a team player, possessing strong communication skills, and the ability to build and maintain relationships internally and externally. The candidate should also have the ability to work and perform under pressure. Requirements for this role include fluency in English with additional languages being beneficial, prior experience in technical project delivery or support, and a background in Computer Science or Electrical and/or Electrical Engineering. This is a full-time, permanent position with benefits such as food provided. The working shift is during the day, and the ability to commute or relocate to Kormangala, Karnataka is required. Candidates should be comfortable with a salary between 3-4 LPA. In conclusion, the Tech Support/ Project Delivery - Associate role requires a proactive individual with technical expertise, strong problem-solving skills, excellent communication abilities, and the capacity to work effectively both independently and within a team.,

Dear Candidate, We are looking for an experienced Machine Learning Engineer to develop and deploy ML models for real-world applications. If you have expertise in Python, TensorFlow, and data science pipelines, wed love to hear from you! Key Responsibilities: Design, develop, and deploy machine learning models for predictive analytics. Work with large datasets to train and fine-tune models. Optimize model performance and scalability. Implement MLOps practices for model deployment and monitoring. Collaborate with data scientists and engineers on AI/ML projects. Required Skills & Qualifications: Strong programming skills in Python and ML libraries (TensorFlow, PyTorch, Scikit-learn). Experience with deep learning, NLP, or computer vision. Knowledge of cloud-based ML services (AWS SageMaker, Azure ML, Google AI). Familiarity with data preprocessing, feature engineering, and model evaluation. Understanding of MLOps and CI/CD for machine learning pipelines. Soft Skills: Strong analytical and problem-solving abilities. Ability to work with cross-functional teams. Excellent communication and presentation 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

As a Senior AI/ML Developer at HealthOrbitAI, you will play a crucial role in revolutionizing healthcare delivery through the integration of advanced AI technology. Your primary responsibility will be to develop, implement, and optimize machine learning models that enhance revenue generation for hospitals and healthcare managers. By automating administrative tasks and complex billing processes, you will enable doctors to focus on providing quality patient care. Your daily tasks will involve working with neural networks, pattern recognition, and natural language processing to solve complex healthcare problems. You will collaborate closely with the software development team to apply advanced AI techniques effectively. To excel in this role, you must possess strong skills in pattern recognition and neural networks, along with a solid foundation in Computer Science and Software Development. Expertise in Natural Language Processing (NLP), proficiency in machine learning algorithms and frameworks, as well as strong analytical and problem-solving abilities are essential. Previous experience in AI applications within the healthcare industry would be advantageous. If you have a Bachelor's or Master's degree in Computer Science, AI/ML, or a related field, and are passionate about leveraging AI to address the core challenges of cost, access, and quality in healthcare, we encourage you to join our team at HealthOrbitAI in Mohali district for this full-time on-site position.,

Responsibilities: Develop large language models using NLP techniques Implement computer vision solutions with deep learning algorithms Design neural networks for pattern recognition and object detection

You will be responsible for developing Risk Segmentation models using sophisticated statistical techniques such as CHAID, cluster analysis, and pattern recognition. These models will help in identifying credit abuse and first party fraud risks at Acquisition and Existing Customer Management stages. Additionally, you will work on establishing swap set analysis and P&L optimization using these models and have hands-on experience in Credit/Fraud Risk strategy development. Preferred knowledge of credit/fraud risk analytics is required for this role. You will collaborate closely with cross-functional teams, including business stakeholders, MRM, governance teams, and strategy implementation teams. Your responsibilities will involve implementing initiatives to ensure consistency and compliance with global credit policies. You will be expected to observe key credit abuse trends, threats, inaccuracies, and drivers of these observations. Furthermore, you will support Audit requirements from external/internal auditors and respond to queries from Independent Risk. To excel in this role, you should possess strong analytical, strategic, and project management skills. You will be required to create storyboards, presentations, and project plans for discussions with senior management and governance requirements to derive valuable insights. Proficiency in utilizing UNIX and Statistical Analysis System (SAS) for risk, financial, and data analyses, including profiling, sampling, reconciliation, and hypothesis testing is essential. Knowledge and experience in statistical procedures and financial analytic tools such as SQL, R, Python, Hadoop, Spark, SAS, and Machine Learning will be an advantage. Experience in pre/post validation of deployed strategies and models and monitoring strategy performance against established benchmarks is also expected. The ideal candidate should have a minimum of 4 years of relevant experience and hold an Advanced Degree (Masters required) in Statistics, Applied Mathematics, Operations Research, Economics, MBA (Finance), or any other highly quantitative discipline. This position falls under the Decision Management job family and the Business Analysis job family. It is a full-time opportunity at Citi, an equal opportunity and affirmative action employer. Citigroup Inc. and its subsidiaries ("Citi) welcome all qualified interested applicants to apply for career opportunities. If you are a person with a disability and require a reasonable accommodation to use Citi's search tools or apply for a career opportunity, please review Accessibility at Citi. Please refer to the "EEO is the Law" poster, the EEO is the Law Supplement, and the EEO Policy Statement for further information.,

A career at Conga is more than just a job - it's a complete package! At Conga, we have fostered a community where our colleagues can flourish. Here, you will have the chance to innovate, receive support for your growth through both individual and team development, and work in an environment where every voice is valued and heard. Conga specializes in simplifying complexity within an ever-evolving world. Our revenue lifecycle management solution is designed to streamline order configuration, execution, fulfillment, and contract renewal processes by utilizing a single critical insights data model that adapts to changing business requirements and aligns the efforts of all teams. Our mission at Conga is to empower customers to achieve transformational revenue growth by harmonizing teams, processes, and technology to maximize customer lifetime value. The Software Architect role at Conga is a pivotal position within the Platform and AI Services team. This team is dedicated to building and innovating foundational services, components, and frameworks essential for the SaaS Revenue Lifecycle Management platform powered by AI. As an AI Architect at Conga, you will play a key role in developing AI capabilities for the Conga Revenue Lifecycle Platform, catering to customer needs and expanding your own skill set. Your responsibilities will involve building and supporting high-scale production code in a multi-tenant SaaS environment. One of the key aspects of this role is to contribute to the architecture and development of core AI services for the Revenue Lifecycle Platform. As an AI Architect, you will be involved in designing end-to-end AI solutions, developing data pipelines, models, deployment strategies, and integrating with existing systems. Moreover, you will collaborate with data scientists and software engineers to implement robust, scalable, and efficient AI solutions. Your role will also encompass managing the technical architecture of the AI platform, ensuring scalability, performance, security, and cost efficiency. Additionally, you will actively participate in an agile team lifecycle, including design, development, testing, planning, backlog grooming, and support. To excel in this role, you should possess a Bachelor's degree in Computer Science or a related field, with 10+ years of expertise in areas such as Machine Learning, Pattern Recognition, Natural Language Processing, Information Retrieval, Large Scale Distributed Systems, and Cloud Computing. We are looking for a talented individual who can provide technical leadership, design reusable components and services, stay abreast of the latest advancements in AI, and possess strong communication and interpersonal skills. If you are self-driven, enjoy problem-solving, and are willing to work with a global team, then we encourage you to apply for this exciting opportunity at Conga. If you believe you are the right candidate for this role or have a genuine interest in working in an inclusive and diverse workplace, we invite you to submit your application. Your resume can be in any format, but we recommend using PDF or plain text for easier review by our recruiters. At Conga, we value diversity and inclusivity, so even if you do not meet every qualification listed, we encourage you to apply as you may still be the ideal candidate for this or other roles.,

Roles and Responsibilities 1. Model Development & Deployment Design, develop, and optimize machine learning and deep learning models for real-world applications (classification, regression, NLP, vision, recommendation systems, etc.). Train models using large datasets and evaluate their performance using appropriate metrics. Deploy models to production using tools like Flask/FastAPI, Docker, and cloud services (AWS/GCP/Azure). 2. Data Collection & Preprocessing Collect, clean, transform, and manage structured and unstructured datasets (CSV, JSON, images, text, etc.). Perform data wrangling, feature engineering, and exploratory data analysis (EDA). 3. Algorithm Research & Implementation Research and implement AI/ML algorithms suited to business use cases. Leverage existing libraries (e.g., Scikit-learn, TensorFlow, PyTorch, Hugging Face) and fine-tune pre-trained models when applicable. 4. NLP & Computer Vision (As per domain focus) For NLP: Build and integrate models for sentiment analysis, chatbots, text summarization, translation, and entity recognition. For Vision: Apply techniques for object detection, image classification, OCR, face recognition, etc. 5. API & Application Integration Create and manage APIs to expose AI model functionalities to frontend/backend systems. Integrate models into enterprise applications, dashboards, or web platforms. 6. Model Monitoring & Maintenance Monitor model performance over time, handle concept drift, and retrain models as needed. Maintain and document ML pipelines, model versions, and deployment logs. 7. Collaboration & Agile Participation Work in cross-functional teams with data engineers, frontend/backend developers, and product owners. Participate in Agile ceremonies like standups, sprint planning, and demos.

Key Responsibilities: Develop, fine-tune, and deploy large language models (LLMs) and advanced NLP algorithms. Design scalable architectures to integrate LLM capabilities into products and services. Work with unstructured text data: preprocessing, tokenization, embedding, and feature engineering. Optimize model performance, latency, and cost for production environments. Collaborate with data scientists, ML engineers, and product teams to understand requirements and deliver AI-powered solutions. Stay abreast of the latest research in LLMs, transformers, and NLP, and apply innovations. Build pipelines for data ingestion, model training, evaluation, and deployment. Ensure ethical use of AI and compliance with data privacy regulations. Mentor junior developers and contribute to code reviews and knowledge sharing.

Course5 is looking for AI Engineer to join our dynamic team and embark on a rewarding career journeyDesigning and developing AI algorithms and models to solve specific business problems.Creating and maintaining databases for storing and processing large amounts of data.Developing and deploying machine learning and deep learning models.Implementing and integrating AI solutions with existing systems and software.Analyzing and interpreting complex data sets to extract insights and drive decision-making.Collaborating with cross-functional teams to develop and deploy AI applications.Ensuring the security and privacy of data used in AI applications.Communicating and presenting technical information to non-technical stakeholders.Excellent communication skills & attention to detail.