81 Falcon Jobs

As a Generative AI Expert at Cogniter Technologies, you will be a valuable member of our advanced AI/ML team. Your role will involve designing and delivering scalable AI applications powered by Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and vector databases. Key Responsibilities: - Develop intelligent applications using models such as GPT-4, LLaMA, Mistral, Falcon. - Architect and implement RAG pipelines for knowledge-driven AI systems. - Build AI agents with frameworks like LangChain. - Integrate vector databases (FAISS, Pinecone, Weaviate) for semantic search. - Deploy and manage real-time inference engines (e.g., Groq). - Optimize LLM performance, token usage, context handling, and prompts. - Collaborate with cross-functional teams to embed AI into production applications. - Stay updated on Generative AI and multimodal AI innovations. If you are passionate about building intelligent systems that solve real-world problems, Cogniter Technologies is looking forward to hearing from you.,

What were looking for We are seeking a skilled and proactive Cyber Threat Intelligence Analyst (3-5 years) to join our team and contribute to delivering a Fanatical Experience to our customers. This role is ideal for an individual with a strong background in threat intelligence gathering, analysis, and reporting, as well as hands-on experience in threat hunting and translating intelligence into actionable insights. Incident Handling and Managing Cloudsek Platform. As a Threat Intelligence Analyst, you will be responsible for identifying and analyzing emerging cyber threats, conducting threat hunting (good to have Sentinel Exp) activities to uncover hidden risks, and producing detailed reports to inform and support security operations. Your expertise will help enhance the overall security posture of our customers through proactive intelligence and actionable recommendations. Key Responsibilities Lead and perform proactive threat hunting across multiple customers or organizational estates using available data and threat intelligence. Create, test, and iterate threat hunting hypotheses to uncover undetected malicious activity. Leverage Cyber Threat Intelligence (CTI) feeds and tooling to track threat actor TTPs and deliver contextual insights relevant to the organization. Design and implement custom detection rules in SIEM platforms, particularly Microsoft Sentinel. Handling Cloud Sek Platform incidents (Dark web detections, Credential Leaks, Compromised Computer.) Collaborate with detection engineers, SOC analysts, and other stakeholders to improve detection content and response workflows. Contribute to incident response activities by supporting triage, investigation, and root cause analysis of cybersecurity events. Support risk and threat modelling initiatives by providing timely threat input and context. Deliver timely high-quality reporting (including executive briefings and technical analysis) on emerging threats and threat actor trends. Manage and curate threat intelligence watchlists, enrich detections with threat data, and assist SOC teams with relevant contextual insights. Support insider threat monitoring and vulnerability risk assessments. Participate in detection engineering efforts by identifying opportunities for new or enhanced analytics. Communicate threat relevance to technical and non-technical stakeholders clearly and concisely. Maintain an active awareness of the evolving cyber threat landscape, particularly as it pertains to your sector. Liaise with Corporate Enterprise Security for indicator and threat sharing. Drive iterative non-technical process improvement and documentation to minimize process friction to eliminate waste and drive consistency. Essential Skills and Experience Experience in Threat Hunting and Cyber Threat Intelligence. (3-5 years) Experience in analyzing large datasets for threat patterns. Strong understanding of threat actor behaviours, attack chains, and TTPs. Practical experience using SIEM platforms (ideally Microsoft Sentinel) and writing KQL queries. Strong Handon on Exp on Cloud Sek Platform, Understanding of threat modelling, risk management, and MITRE ATT&CK framework. Experience supporting or collaborating with Security Operations Center (SOC) teams. Understanding of Windows and/or Linux telemetry and analysis techniques. Knowledge of network protocols and how they may be exploited. Experience executing security incident response workflows and processes. Ability to triage and respond to threat intelligence alerts from multiple sources. Strong written and verbal communication skills to effectively deliver technical and executive-level briefings. Desirable Skills Experience with Microsoft Defender XDR Suite (Defender for Cloud, Server, Endpoint, Office 365, Identity). Microsoft Sentinel Cloud SEK Platform Crowdstrike, Falcon Qualys Familiarity with Microsoft Entra, Purview, and Azure technologies. Knowledge of NIST CSF, and other common security frameworks. Experience working with STIX and TAXII or equivalent for TI normalization and sharing Hands-on experience with detection creation and automation workflows using GitHub. Familiarity with scripting (python, JS, Powershell) for automation/analysis data processing. Experience working in Agile environments and cross-functional teams. Relevant certifications such as: Microsoft : SC-200, AZ-500, MS-500, SC-300 GIAC : GCTI, GCFA, GREM, GCIA Other : CISSP, CISA, CISM, CompTIA Security+/Cloud+, CCSK

About The Role Project Role : Security Architect Project Role Description : Define the cloud security framework and architecture, ensuring it meets the business requirements and performance goals. Document the implementation of the cloud security controls and transition to cloud security-managed operations. Must have skills : Infrastructure Security Vulnerability Management Operations Good to have skills : NA Minimum 2 year(s) of experience is required Educational Qualification : 15 years full time education Summary :We are looking for a Vulnerability Management Analyst with 2+ years of experience to support core activities in Infrastructure Vulnerability Management (IVM). This role involves assisting with scan scheduling, remediation tracking, and reporting using tools like CrowdStrike Falcon Spotlight and Avia Automation. This is a great opportunity for someone early in their GRC or security career to grow their understanding of vulnerability management processes. Roles & Responsibilities:-Assist in scheduling and tracking internal vulnerability scans as per the Runbook.-Confirm scan completion and help compile results for review.-Coordinate with teams to help identify and track false positives.-Support the quarterly update and maintenance of the Runbook and scan documentation.-Work with senior team members to follow up on remediation actions for high and critical vulnerabilities.-Generate and distribute regular vulnerability status reports to stakeholders.-Help maintain the stakeholder distribution list for reports.-Use tools like CrowdStrike Falcon Spotlight and Avia Automation to support tracking and reporting tasks (training will be provided).-Participate in service review meetings and assist with reporting inputs.-CrowdStrike Falcon Spotlight, Avia Automation Professional & Technical Skills: -Experience in IT, GRC, or cybersecurity support roles.-Basic understanding of vulnerability management concepts and security hygiene.-Exposure to tools like CrowdStrike Falcon Spotlight, Avia Automation, or similar platforms is a plus.-Strong coordination, documentation, and reporting skills.-Willingness to learn technical tools and grow in the vulnerability management space.-Familiarity with basic IT infrastructure (servers, endpoints, patching) is helpful.-Good communication skills and ability to work with cross-functional teams. Additional Information:- The candidate should have minimum 2 years of experience in Infrastructure Security Vulnerability Management Operations.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Project Role : Security Architect Project Role Description : Define the cloud security framework and architecture, ensuring it meets the business requirements and performance goals. Document the implementation of the cloud security controls and transition to cloud security-managed operations. Must have skills : Infrastructure Security Vulnerability Management Operations Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :We are seeking a GRC/Infrastructure Vulnerability Management (IVM) Analyst with 4+ years of experience in vulnerability management, remediation coordination, and reporting. The candidate will support internal scan operations, help validate and track vulnerabilities, and assist in reporting and service review activities using tools like CrowdStrike Falcon Spotlight and Avia Automation. Roles & Responsibilities:-Schedule and monitor internal vulnerability scans as defined in the Runbook.-Validate scan completion, review findings, and work with teams to remove false positives.-Assist in maintaining and updating the Runbook on a quarterly basis.-Provide remediation recommendations for high and critical vulnerabilities based on scan results.-Track and follow up on vulnerability remediation activities using CrowdStrike Falcon Spotlight and Avia Automation.-Generate and distribute scheduled reports to stakeholders, ensuring data accuracy and relevance.-Maintain a current list of report recipients and coordinate with internal teams for updates.-Monitor and report the status of open high and critical vulnerabilities.-Participate in service review meetings, contribute to status updates, and support improvement efforts.-CrowdStrike Falcon Spotlight, Avia Automation Professional & Technical Skills: -Experience in IT Security, Vulnerability Management, or related roles.-Familiarity with CrowdStrike Falcon Spotlight and/or Avia Automation, or similar vulnerability tracking tools.-Basic understanding of infrastructure scanning processes, remediation workflows, and common vulnerability types.-Comfortable working with vulnerability data, interpreting findings, and coordinating with technical teams.-Ability to create and maintain process documentation such as scan schedules, runbooks, and reports.-Good communication and coordination skills to interact with cross-functional teams and stakeholders.-Exposure to security standards or frameworks (e.g., NIST, ISO 27001) is a plus. Additional Information:- The candidate should have minimum 3 years of experience in Infrastructure Security Vulnerability Management Operations.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Role & responsibilities About the Role: The Senior Cybersecurity SOC Engineer role is a key position within CA One Tech Cloud Clients . This role involves designing scalable applications and ensuring the delivery of high-quality projects. Key Responsibilities: Design and build SOC infrastructure using Microsoft Sentinel and SOAR Lead deep investigations using CrowdStrike Falcon, MDE, Tenable, and Palo Alto/Fortinet firewalls Perform threat hunting using MITRE ATT&CK framework and dark web intelligence Develop KQL queries and automation scripts in PowerShell/Python Integrate and respond to incidents across Azure and Microsoft 365 environments Collaborate with MSOC and global teams for escalations and knowledge sharing Required Skills: 7+ years in cybersecurity roles, focused on SOC/IR/Threat Hunting Expertise with Microsoft Sentinel , CrowdStrike Falcon , MDE , Tenable Deep understanding of MITRE ATT&CK , lateral movement, and APTs Scripting experience in KQL , Python , PowerShell Strong communication, leadership, and mentoring skills Preferred: Certifications: GCFA, GCIH, GCTI, CISSP, AZ-500, MS-500, OSCP, or MITRE ATT&CK Defender Experience with Palo Alto XSOAR and cloud-based threat monitoring Interested candidates please share your resume to Sirishad@ca-one.com

You are a Machine Learning & Generative AI Engineer responsible for designing, building, and deploying advanced ML and GenAI solutions. This role presents an exciting opportunity to work on cutting-edge AI systems, such as LLM fine-tuning, Transformer architectures, and RAG pipelines, while also contributing to traditional ML model development for decision-making and automation. With a minimum of 3 years of experience in Machine Learning, Deep Learning, and AI model development, you are expected to demonstrate a strong proficiency in Python, PyTorch, TensorFlow, Scikit-Learn, and MLflow. Your expertise should encompass Transformer architectures (such as BERT, GPT, T5, LLaMA, Falcon) and attention mechanisms. Additionally, experience with Generative AI, including LLM fine-tuning, instruction tuning, and prompt optimization is crucial. You should be familiar with RAG (Retrieval-Augmented Generation) embeddings, vector databases (FAISS, Pinecone, Weaviate, Chroma), and retrieval workflows. A solid foundation in statistics, probability, and optimization techniques is essential for this role. You should have experience working with cloud ML platforms like Azure ML / Azure OpenAI, AWS SageMaker / Bedrock, or GCP Vertex AI. Familiarity with Big Data & Data Engineering tools like Spark, Hadoop, Databricks, and SQL/NoSQL databases is required. Proficiency in CI/CD, MLOps, and automation pipelines (such as Airflow, Kubeflow, MLflow) is expected, along with hands-on experience with Docker and Kubernetes for scalable ML/LLM deployment. It would be advantageous if you have experience in NLP & Computer Vision areas, including Transformers, BERT/GPT models, YOLO, and OpenCV. Exposure to vector search & embeddings for enterprise-scale GenAI solutions, multimodal AI, Edge AI / federated learning, RLHF (Reinforcement Learning with Human Feedback) for LLMs, real-time ML applications, and low-latency model serving is considered a plus. Your responsibilities will include designing, building, and deploying end-to-end ML pipelines covering data preprocessing, feature engineering, model training, and deployment. You will develop and optimize LLM-based solutions for enterprise use cases, leveraging Transformer architectures. Implementing RAG pipelines using embeddings and vector databases to integrate domain-specific knowledge into LLMs will also be part of your role. Fine-tuning LLMs on custom datasets for domain-specific tasks and ensuring scalable deployment of ML & LLM models on cloud environments are critical responsibilities. Collaborating with cross-functional teams comprising data scientists, domain experts, and software engineers to deliver AI-driven business impact is expected from you.,

Hiring Cards Tester: BE/B.Tech/MCA with Credit Card domain knowledge, V+, Falcon, GUI/Web/Mobile/API/Automation testing, defect mgmt & documentation. Strong QA, communication & problem-solving skills. Annual bonus Provident fund

About The Role This is a Public document. About The Role for a Credit Card Transaction Monitoring Manager Reports toCREDIT CARD POLICY HEAD LocationMUMBAI Job Summary: We are seeking an experienced Credit Card Transaction Monitoring individual (M5-AVP) to join our Credit Risk Management team. The successful candidate will be responsible for monitoring credit card transactions data, identifying potential fraud or high risk transactions with higher bad rates, and implementing rules to prevent such transactions and reduce future financial losses coming from them. This role requires a blend of analytical skills, attention to detail, and knowledge of fraud detection technologies and methodologies. The ideal candidate will have experience in data analysis, risk analytics, and fraud prevention. They should be proficient in SAS, SQL, and Python for data querying and analysis, and have a strong understanding of fraud risk management in the financial services industry Key Responsibilities: Monitoring TransactionsResponsible for overseeing credit card transactions to detect and prevent fraudulent activities, high risk transactions on various MCC"™s such as rental, wallets, fuels etc. this includes analysing transaction patterns and identifying any suspicious behaviour. Rule CreationPart of the job would involve creating and implementing rules within the FALCON system to help identify and stop such transactions. Test and refine rules to ensure accuracy and effectiveness. This requires a deep understanding of fraud trends and the ability to translate this knowledge into effective fraud prevention strategies. Identifying customers who are making non retail transactions and using credit card funds for other than specified retail purposes and building rules to stop or reduce transactions on them by blocking those MID"™s, initiating blocking of credit card accounts and credit limit reduction. Using FICO® Falcon® Fraud ManagerYou would likely be using FICO"™s Falcon Fraud Manager, which is a leading solution for real-time transaction protection across various channels. CollaborationThe role may require collaboration with business and financial users to define, test, and deploy these rules based on the organization"™s requirements and strategies Creating and maintaining reports for tracking fraud trends and the performance of fraud prevention strategies. Querying operational databases and data warehouses using SQL and other tools to extract data for analysis. Staying up-to-date on current fraud best practices and emerging threats. This is a Public document. Requirements: 5+ years of experience in credit card transaction monitoring or related field 2+ years of experience in a mid-leadership role. Strong knowledge of Falcon or similar fraud detection systems Excellent analytical and problem-solving skills Effective communication and leadership skills Ability to work in a fast-paced environment Experience with machine learning or data science Certification in fraud prevention or related field will be an added advantage

Key Responsibilities :As a Security Lead primary responsibility are to provide Infrastructure support for Endpoint Management services with expert level knowledge on technology and people management skills This role will also include responsibilities like escalations handling, vendor management, and interaction with security leads as well as with other support teams to ensure successful operations of the Endpoint Management Service Technical Experience :-Should have design, build or consulting experience on Endpoint Security Infrastructure-Expert level experience with deployment, maintenance and operations of one or more major Endpoint Security Products, For example:, AntiVirus: MS Defender Advanced Threat Protection, Sophos, TrendMicro, McAfee, Symantec, CylanceEDR: Carbon Black, CrowdstrikeGood Knowledge of ITIL, COBIT framework and good exposure of Service management Professional Attributes :Work in shifts and provides after-hour and weekend on call support when requiredCCNA Security, CCNP Security, etc Good to haveEndpoint Security product certifications McAfee, Symantec, TrendMicro, Crowdstrike, etc

Min exp 3 years in Fraud Analytics & Credit risk--IT Sentilink, iOvation, LexisNexus, Falcon, Visa, Zelle, Fraud Analytics, Fraud Strategy, Fraud Investigation, Fraud Detection, Fraud prevention Drop cv on supreet.imaginators@gmail.com Required Candidate profile Additional Skills: Sentilink, iOvation, LexisNexus, Falcon, Visa, Zelle, An expert in SQL, Tableau, preferred to have Python based data analytics experience.. Exp range : 3-10 years

Hiring: Fraud Analytics Roles for Location: Bengaluru; 5 days WFO - General shift Experience: 3–10 yrs Salary: Level9 14.07L – 22L Level10 11.13L – 15.5L NP: 30Days or Immediate Joiners Send CV: latika.chopra05@gmail.com Call Latika: 9810996899 Required Candidate profile Mandate Requirements: Fraud Analytics, Fraud Strategy, Fraud Investigation, Fraud Detection & Prevention Additional: Sentilink, iOvation, LexisNexus, Falcon, Visa, Zelle. SQL, Tableau, Python

You will be joining Star Software, an AI-powered automation company with a focus on revolutionizing document processing and workflows. The company specializes in processing complex documents and reports to facilitate precise data extraction. Star Software's technology stack is driven by AI, OCR, and RPA, ensuring accuracy, efficiency, and seamless integration into existing workflows. Your role will involve working with the following tech stacks and key skills & tools: - **Language Skills**: - Strong proficiency in Python - Familiarity with libraries such as Transformers, OpenAI SDK, and Hugging Face Datasets - **Machine Learning/Deep Learning**: - Proficiency in PyTorch and TensorFlow (optional) - Knowledge of fine-tuning methods like LoRA, PEFT, and QLoRA - Understanding of Transformers, Attention, and Tokenization - **NLP Techniques**: - Experience with Named Entity Recognition (NER) - Proficiency in Question Answering, Summarization, and Text Classification - **Model Handling**: - Familiarity with OpenAI models (GPT-4, GPT-3.5) and Hugging Face models (LLaMA, Mistral, Falcon, etc.) - Ability to work with custom-trained models - **Tools & Infrastructure**: - Experience with Weights & Biases, MLflow for experiment tracking - Proficiency in Docker, Kubernetes for containerization - Knowledge of Streamlit/Gradio for demos, FastAPI/Flask for APIs, and Git, CI/CD pipelines Preferred qualifications for this role include: - Graduation from Tier 1 colleges - Minimum of two years of experience in building quality applications - Strong working knowledge of Web technologies and APIs - Experience in SAAS product development would be a plus - Previous experience in IDP (Intelligent Document Processing) is desirable If you are passionate about leveraging AI to streamline document processing and are proficient in the mentioned tech stacks and skills, we encourage you to apply for this exciting opportunity at Star Software.,

International Technical Support Engineer (Voice/Chat Support) Location: Chennai / Bangalore | Work Mode: Work from Office US-based Night Shift Rotational Week Off Any Degree Mandatory (No standing arrears) Relieving Letter Not Required Career Gaps Accepted Salary: Up to 6 LPA + Performance Incentives Both-Way Cab Provided Min. 1 Year Experience in Technical Support (Voice/Chat) Mandatory Immediate Joiners or Notice Period Accepted Virtual Interview | Easy Process | Spot Offers Send Resume to: rubini.ravichandran@movate.com Contact HR Rubini Not looking? Refer your friends! Let me know if you want a version for WhatsApp or LinkedIn too!

Role Accountability Application Fraud / Transaction Fraud Monitoring & Decisioning: Lead the team of fraud SME analysts to identify fraudulent application/transaction patterns across various attributes Ensure comprehensive alert review by the team by leveraging all available profile attributes, alternate sources of data, -ve databases, past patterns, and available online validation sources to identify anomalies and prevent fraudulent activity Analyze Fraud Modus Operandi & decisioning patterns to feed learnings for SOP improvement/updation Perform RCA of the identified/prevented frauds and share the same with the sampling/investigation team to unearth fraud syndicates in the market Conduct weekly sample audits of fraud analyst decisioning to drive adherence to SOPs & customer contact policies Stakeholder Liaisoning and Process Improvement: Liaison with internal stakeholders (Credit, Operations, CS) and external stakeholders (Merchants, Acquirers, Payment gateways, LEAs) to highlight fraud trends and take up hold / reverse disputed funds Monitor fraud trends and feedback the learnings/observations into the system and train people for process improvements Regulatory Adherence & KYC Compliance: Ensure adherence to regulatory compliance on KYC, transaction monitoring and fraud transaction reversals Coach the team on regulatory guidelines and ongoing changes in the compliance framework Measures of Success Productivity (No. of cases decisioned in a day) as per MOU, Fraud Decisioning Accuracy, TAT, Team VIC Penetration Fraud Catch & False Positives Completion of Critical Projects on Digitization & Automation as per agreed objectives 100% coverage on process training and certification for the team Process Adherence as per MOU Technical Skills / Experience / Certifications Core domain expertise in fraud risk management, underwriting and transaction monitoring Good industry connect & visibility on Industry forums to learn industry best practices & updates

Role Overview: We are seeking a highly skilled and experienced Senior Machine Learning Engineer to join our innovative Data Science and Engineering team. Reporting to the Data Science Director, you will play a critical role in building and scaling machine learning systems that power our cybersecurity products. You will work closely with data scientists and software engineers to design, develop, and deploy end-to-end ML pipelines, ensuring high performance and reliability in production. Your engineering expertise will directly contribute to solving complex challenges in areas such as threat detection, malware analysis, anomaly detection, and automated model workflows. About the role: As a Senior Machine Learning Engineer, you will be part of a high-impact team reporting to the Director of Data Science, focused on developing scalable, production-grade machine learning solutions to power cybersecurity products. Collaborate with data scientists and engineering teams to build and scale machine learning pipelines. Develop and deploy production-ready ML systems for use cases such as:Threat and attack detection,Threat hunting,Malware detection,Anomaly detection Build and optimize distributed data pipelines using Apache Spark and Python. Design and implement MLOps workflows including data preprocessing, model training, evaluation, and deployment. Monitor and retrain ML models based on feedback and performance in production. Develop model serving infrastructure for high availability, low latency, and scalability. Automate and streamline feature engineering, hyperparameter tuning, and CI/CD pipelines for ML models. Ensure model integration into security products with adherence to compliance and data governance standards. About you: You are an experienced ML Engineer with a strong foundation in software engineering and a passion for solving complex problems in the cybersecurity domain. Must-Have Qualifications: A Master Degree or Equivalent degree in Machine Learning, Computer Science, or Electrical Engineering, with Mathematics/Statistics at undergraduate level 4-6 years of industry experience as a Machine Learning Engineer Advanced proficiency in Python and strong programming fundamentals Hands-on experience with Apache Spark or PySpark for distributed data processing Solid understanding of machine learning concepts and experience with ML libraries like scikit-learn, XGBoost, TensorFlow, or PyTorch. Experience in building, deploying, and monitoring end-to-end ML systems in production Familiarity with MLOps tools (e.g., MLflow, Kubeflow, SageMaker Pipelines). Proficiency in SQL and handling large-scale data Experience working with public cloud platforms (AWS, GCP, or Azure). Strong software engineering practices: Git, containerisation (Docker), testing, CI/CD Good to Have: Knowledge of Large Language Models (LLMs) such as GPT, BERT, LLaMA, or Falcon. Experience with LLM fine-tuning, prompt engineering, and retrieval-augmented generation (RAG)

As a Lead Machine Learning Engineer at Ramboll Tech, you will play a pivotal role in creating cutting-edge AI solutions while nurturing a collaborative and growth-oriented culture. In this position, you will work closely with product owners, Chapter leads, and global ML Engineers to define technical roadmaps, implement best practices, and deliver impactful AI solutions. Your responsibilities will include defining architectural patterns for scalable LLM pipelines, integrating external knowledge bases, researching and developing effective RAG architectures, exploring state-of-the-art LLMs, evaluating and optimizing models, and driving continuous improvement through experimentation. Additionally, you will establish coding standards, mentor ML engineers, and ensure the success of ML-Ops for your Pod. To excel in this role, you should possess a Bachelor's or Master's degree in Computer Science or a related field, along with a minimum of 5 years of experience in implementing machine learning projects. Strong leadership skills, expertise in LLM and RAG architectures, proficiency in modern Transformer-based LLMs, and experience with programming tools like Python, PyTorch, TensorFlow, and deployment tools such as Docker and Kubernetes are essential. At Ramboll Tech, our team culture values curiosity, optimism, ambition, and empathy. We prioritize open communication, collaboration, and continuous learning, while fostering diversity and inclusivity within our workplace. As part of a global architecture, engineering, and consultancy firm, we are committed to sustainability, innovation, and creating a livable world where individuals can thrive in harmony with nature. If you are passionate about driving innovation, leading technical projects, and contributing to a dynamic team environment, we encourage you to apply for this role. Submit your CV and a cover letter through our application tool to begin the conversation about joining our team at Ramboll Tech. For any inquiries or requests regarding the application process, please contact us at [email protected],

NTT DATA is looking for an AI Data Scientist - Digital Engineering Sr. Engineer to join their team in Hyderabad, Telangana (IN-TG), India. As an AI Data Scientist, you will be focusing on Generative AI & LLMs. Your responsibilities will include designing and developing AI/ML models with a specific focus on LLMs such as GPT, LLaMA, Mistral, Falcon, and Claude. You will be applying prompt engineering, fine-tuning, and transfer learning techniques to tailor models for enterprise use cases. Additionally, you will work with vector databases and retrieval-augmented generation (RAG) pipelines for contextual response generation. Collaboration is key in this role, as you will be working closely with data engineers, AI Engineers, and MLOps teams to deploy models in production environments. If you are an exceptional, innovative, and passionate individual looking to be part of an inclusive, adaptable, and forward-thinking organization, apply now to join NTT DATA. NTT DATA is a trusted global innovator of business and technology services with a commitment to helping clients innovate, optimize, and transform for long-term success. With a presence in more than 50 countries, NTT DATA serves 75% of the Fortune Global 100 and has a diverse team of experts. The company offers services ranging from business and technology consulting to data and artificial intelligence solutions, industry-specific offerings, and the development, implementation, and management of applications, infrastructure, and connectivity. NTT DATA is a leading provider of digital and AI infrastructure globally and is part of the NTT Group, which invests significantly in R&D to support organizations and society in confidently transitioning into the digital future. For more information, visit us at us.nttdata.com.,

Responsibilities: Edit and assemble raw footage into compelling video content, Collaborate with the content team to develop video concepts that align with our brand and marketing objectives, Ensure video projects adhere to brand guidelines and maintain consistency in style, tone, and messaging, Use video editing software and tools to enhance video quality, color correction, audio mixing, and visual effects, Stay up-to-date with industry trends and best practices in video editing, Meet project deadlines and deliver video content according to the required specifications and formats, Requirements: 1+ years of proven work experience as a Video Editor, Proficiency in video editing software such as Adobe Premiere Pro or similar tools, Strong knowledge of video editing techniques, including cutting, trimming, transitions, color correction, and audio synchronization, Strong attention to detail and ability to deliver high-quality work within tight deadlines, Strong communication and organizational skills, A portfolio demonstrating previous video editing work,

NTT DATA is looking for an AI Data Scientist - Digital Engineering Sr. Engineer to join their team in Hyderabad, Telangana (IN-TG), India. As an AI Data Scientist, your primary focus will be on Generative AI & LLMs. You will be responsible for designing and developing AI/ML models, specifically concentrating on LLMs such as GPT, LLaMA, Mistral, Falcon, and Claude. Your role will involve applying engineering techniques like fine-tuning and transfer learning to customize models for enterprise use cases. Additionally, you will work with vector databases and retrieval-augmented generation (RAG) pipelines for contextual response generation. Collaboration is key in this role, as you will work closely with data engineers, AI Engineers, and MLOps teams to deploy models in production environments. NTT DATA is a trusted global innovator of business and technology services, serving 75% of the Fortune Global 100. They are committed to helping clients innovate, optimize, and transform for long-term success. With experts in over 50 countries and a robust partner ecosystem, NTT DATA provides a wide range of services including business and technology consulting, data and artificial intelligence, industry solutions, and the development, implementation, and management of applications, infrastructure, and connectivity. As one of the leading providers of digital and AI infrastructure globally, NTT DATA is part of the NTT Group, investing over $3.6 billion annually in R&D to support organizations and society in confidently transitioning into the digital future. If you are an exceptional, innovative, and passionate individual looking to be part of an inclusive and forward-thinking organization, apply now to join NTT DATA.,

You should have 8-15 years of experience in Risk Operations and Rule Writing Experience on FALCON. You should possess a working knowledge of the latest digital technology and an understanding of web services or API based messages. Additionally, you must have hands-on experience in Documentation (Business Requirement, Standard Operating Process), Test Case Preparation, User Acceptance Testing, and leading testing teams for testing scope, test case execution, review of logs, etc. As an individual contributor (80%) and UAT Lead (20%), you will be responsible for identifying and sharing industry best practices related to fraud risk. You will collaborate with Operation, IT, Compliance, and other stakeholders to assess feasibility and implementation of best practices. Your role will involve end-to-end project management, including analyzing business requirements, documenting requirements, evaluating solutions, testing, process documentation, risk analysis, and implementation planning. Your responsibilities will include defining and configuring Fraud Risk Management Rules, designing solutions with various stakeholders, managing delivery across channels, and identifying areas for improvement in application capability and processes. You will lead project management activities, work on multiple projects simultaneously, create project schedules, conduct project meetings, and coordinate resources to meet project requirements. Additionally, you will review, analyze, and document business systems and user needs, prepare reports for committees, manage training for new product implementations, and develop training materials. You will act as a test lead for projects, manage outsourced testing teams, define quality assurance practices, and ensure that all tests are conducted according to agreed-upon standards. Overall, you will play a critical role in project management, business analysis, quality assurance, and testing to ensure the successful implementation of fraud risk management solutions and processes.,

Strong experiencewith the following libraries: Pandas, Numpy Cloud adoption and strong experience of working with Python on AWS Experience in text processing, converting unstructured text Strong experience with REST API and Microservice architecture.

You will be joining a fast-growing enterprise AI & data science consultancy that caters to global clients in finance, healthcare, and enterprise software sectors. Your primary responsibility as a Senior LLM Engineer will involve designing, fine-tuning, and operationalizing large language models for real-world applications using PyTorch and Hugging Face tooling. You will also be tasked with architecting and implementing RAG pipelines, building scalable inference services and APIs, collaborating with data engineers and ML scientists, and establishing engineering best practices. To excel in this role, you must have at least 4 years of experience in data science/ML engineering with a proven track record of delivering LLM-based solutions to production. Proficiency in Python programming, PyTorch, and Hugging Face Transformers is essential. Experience with RAG implementation, production deployment technologies such as Docker and Kubernetes, and cloud infrastructure (AWS/GCP/Azure) is crucial. Preferred qualifications include familiarity with orchestration frameworks like LangChain/LangGraph, ML observability, model governance, and mitigation techniques for bias. Besides technical skills, you will benefit from a hybrid working model in India, opportunities to work on cutting-edge GenAI projects, and a collaborative consultancy culture that emphasizes mentorship and career growth. If you are passionate about LLM engineering and seek end-to-end ownership of projects, Zorba Consulting India offers an equal opportunity environment where you can contribute to diverse and inclusive teams. To apply for this role, submit your resume along with a brief overview of a recent LLM project you led, showcasing your expertise in models, infrastructure, and outcomes.,

Job Description Designation : Engineer - L1(Technical Support) Job Location : Chennai Shift :Night shift Job Responsibilities: Candidate would be responsible for handling customer calls and troubleshooting technical issues related to Devices. Ensure resolution provided in the first interaction with the customer Acquiring knowledge about the newly released products and recent updates. Ensure that each customer receives outstanding service by providing a friendly environment, which includes greeting and acknowledging every customer, maintaining solid product knowledge and all other aspects of customer service Position and sell Premium support contracts to customers based on their support entitlement. Technical skills: Self-Motivated & Ability to Work Under Pressure Should have good comprehensibility and understandability of what customers want Should have critical thought process and decision-making capability with focus on accuracy Handling Internet Troubleshooting Issues relevant to Computers, Application, Basic Networking, LAN, WAN Technologies Customer centricity and eagerness to drive himself/herself for upgradation in knowledge. Ability to sell/Upsell Soft Skills: Should possess good English verbal skills Excellent logical reasoning Computer Proficiency: Basics understanding of Hardware and Software, Computer fundamentals, Internet and Networking fundamentals Send your updated resume to mail id : nivya.avinash@movate.com

Build Gen AI applications using LLMs (OpenAI, LLaMA,Falcon) Develop (RAG) pipelines with vector databases such as ChromaDB, Pinecone, LanceDB. Implement & optimize prompt engineering, embeddings, & semantic search Fine-tune and adapt pre-trained LLMs Required Candidate profile Strong programming skills in Python LangChain, Transformers (Hugging Face, BERT, GPT models) Vector databases (Chroma, Pinecone, LanceDB, Weaviate, FAISS) Deep Learning, Neural Networks, NLP technique

Entity :- Accenture Strategy & Consulting Title :- Level 9 Ind & Func AI Decision Science Consultant Job location :- Bengaluru, Gurugram, Mumbai About S&C - Global Network :- Accenture Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition WHATS IN IT FOR YOU Accenture CFO & EV team under Data & AI team has comprehensive suite of capabilities in Risk, Fraud, Financial crime, and Finance. Within risk realm, our focus revolves around the model development, model validation, and auditing of models. Additionally, our work extends to ongoing performance evaluation, vigilant monitoring, meticulous governance, and thorough documentation of models. Get to work with top financial clients globally Access resources enabling you to utilize cutting-edge technologies, fostering innovation with the worlds most recognizable companies. Accenture will continually invest in your learning and growth and will support you in expanding your knowledge. Youll be part of a diverse and vibrant team collaborating with talented individuals from various backgrounds and disciplines continually pushing the boundaries of business capabilities, fostering an environment of innovation. What you would do in this role Engagement Execution Work independently/with minimal supervision in client engagements that may involve model development, validation, governance, strategy, transformation, implementation and end-to-end delivery of fraud analytics/management solutions for Accentures clients. Advise clients on a wide range of Fraud Management/ Analytics initiatives. Projects may involve Fraud Management advisory work for CXOs, etc. to achieve a variety of business and operational outcomes. Develop and frame Proof of Concept for key clients, where applicable Practice Enablement Guide junior team members. Support development of the Practice by driving innovations, initiatives. Develop thought capital and disseminate information around current and emerging trends in Fraud Analytics and Management Support efforts of sales team to identify and win potential opportunities by assisting with RFPs, RFI. Assist in designing POVs, GTM collateral. Travel:Willingness to travel up to 40% of the time Professional Development Skills: Project DependentQualification Job Qualifications Who we are looking for 3-5 years of relevant Fraud Analytics experience at one or more Financial Services firms, or Professional Services / Risk Advisory with significant exposure to one or more of the following areas: o Banking Fraud, Payment Fraud, Credit Card Fraud, Retail o Fraud, Anti Money Laundering, Financial Crime, Telecom o Fraud, Energy Fraud, Insurance Claims Fraud etc. Advanced skills in development and validation of fraud analytics models, strategies, visualizations. Understanding of new/ evolving methodologies/tools/technologies in the Fraud management space. Expertise in one or more domain/industry including regulations, frameworks etc. Experience in building models using AI/ML methodologies Modeling:Experience in one or more of analytical tools such as SAS, R, Python, SQL, etc. Knowledge of data processes, ETL and tools/ vendor products such as VISA AA, FICO Falcon, EWS, RSA, IBM Trusteer, SAS AML, Quantexa, Ripjar, Actimize etc. Strong conceptual knowledge and practical experience in the Development, Validation and Deployment of ML/AL models Hands-on programming experience with any of the analytics tools and visualization tools (Python, R, PySpark, SAS, SQL, PowerBI/ Tableau) Knowledge of big data, ML ops and cloud platforms (Azure/GCP/AWS) Strong written and oral communication skills Project management skills and the ability to manage multiple tasks concurrently Strong delivery experience of short and long term analytics projects Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.