22 Anomaly Detection Jobs

AI/ML Architect Experience 10+ years in total, 8+ years in AI/ML development 3+ years in AI/ML architecture Education Bachelors/Masters in CS, AI/ML, Engineering, or similar Title: AI/ML Architect Location: Onsite Bangalore Experience: 10+ years Position Summary: We are seeking an experienced AI/ML Architect to lead the design and deployment of scalable AI solutions. This role requires a strong blend of technical depth, systems thinking, and leadership in machine learning , computer vision , and real-time analytics . You will drive the architecture for edge, on-prem, and cloud-based AI systems, integrating 3rd party data sources, sensor and vision data to enable predictive, prescriptive, and autonomous operations across industrial environments. Key Responsibilities: Architecture & Strategy Define the end-to-end architecture for AI/ML systems including time series forecasting , computer vision , and real-time classification . Design scalable ML pipelines (training, validation, deployment, retraining) using MLOps best practices. Architect hybrid deployment models supporting both cloud and edge inference for low-latency processing. Model Integration Guide the integration of ML models into the IIoT platform for real-time insights, alerting, and decision support. Support model fusion strategies combining disparate data sources, sensor streams with visual data (e.g., object detection + telemetry + 3rd party data ingestion). MLOps & Engineering Define and implement ML lifecycle tooling, including version control, CI/CD, experiment tracking, and drift detection. Ensure compliance, security, and auditability of deployed ML models. Collaboration & Leadership Collaborate with Data Scientists, ML Engineers, DevOps, Platform, and Product teams to align AI efforts with business goals. Mentor engineering and data teams in AI system design, optimization, and deployment strategies. Stay ahead of AI research and industrial best practices; evaluate and recommend emerging technologies (e.g., LLMs, vision transformers, foundation models). Must-Have Qualifications: Bachelors or Master’s degree in Computer Science, AI/ML, Engineering, or a related technical field. 8+ years of experience in AI/ML development, with 3+ years in architecting AI solutions at scale. Deep understanding of ML frameworks (TensorFlow, PyTorch), time series modeling, and computer vision. Proven experience with object detection, facial recognition, intrusion detection , and anomaly detection in video or sensor environments. Experience in MLOps (MLflow, TFX, Kubeflow, SageMaker, etc.) and model deployment on Kubernetes/Docker . Proficiency in edge AI (Jetson, Coral TPU, OpenVINO) and cloud platforms (AWS, Azure, GCP). Nice-to-Have Skills: Knowledge of stream processing (Kafka, Spark Streaming, Flink). Familiarity with OT systems and IIoT protocols (MQTT, OPC-UA). Understanding of regulatory and safety compliance in AI/vision for industrial settings. Experience with charts, dashboards, and integrating AI with front-end systems (e.g., alerts, maps, command center UIs). Role Impact: As AI/ML Architect, you will shape the intelligence layer of our IIoT platform — enabling smarter, safer, and more efficient industrial operations through AI. You will bridge research and real-world impact , ensuring our AI stack is scalable, explainable, and production-grade from day one.

Req ID: 326519 We are currently seeking a Windows Engineering - Systems Engineer to join our team in Bangalore, Karntaka (IN-KA), India (IN). Responsibilities Work with a global team of highly motivated platform engineers and software developers Participate in full platform product lifecycle for windows based solutionsanalysis, technical design, testing, release, and support. Evaluate and test commercial solutions to help drive Buy vs. Build decisions Engineer and maintain automated Windows builds to support desktop on virtualized and cloud environments Execute performance testing of new desktop and server builds on various virtual and physical platforms Basic Qualifications In-depth knowledge in Windows OS internals including Group Policies, Windows Defender, Windows Networking stack, OS build engineering and deployment Experience engineering, managing and supporting environments involving VDI (Citrix, RDS), and Microsoft Desktop and Server platforms (Windows 10, Win11, Server 2016+) Experience in automation, anomaly detection and predictive analysis Experience with Windows Systems Management and Patch management Technologies (SCCM, MECM, Group Policy and WSUS) Extensive experience with one or more scripting technologiesPowerShell, VBS, SQL, Windows Batch Experience with Windows build engineering, particularly experience with SCCM and MDT Experience in supporting secure infrastructure solutions involving DMZ Environment Preferred Qualifications Enterprise-level Financial Services experience is preferred Team player who is able to work in a fast paced, environment Strong verbal and written communication skills Strong analytical and problem solving skills Experience with public cloud environments (AWS Certified Solutions Architect or equivalent) Strong communication skill and able to work with remote counterparts internally and manage external vendors Familiar with Linux, Middleware, Networks, Storage, Email, Mobile Applications, Voice/Video/Multimedia Systems and Market Data Systems

Senior Data Scientist Location: Onsite Bangalore Experience: 8+ years Role Overview We are seeking a Senior Data Scientist with a strong foundation in machine learning, deep learning, and statistical modeling, with the ability to translate complex operational problems into scalable AI/ML solutions. In addition to core data science responsibilities, the role involves building production-ready backends in Python and contributing to end-to-end model lifecycle management. Exposure to computer vision is a plus, especially for industrial use cases like identification, intrusion detection, and anomaly detection. Key Responsibilities Develop, validate, and deploy machine learning and deep learning models for forecasting, classification, anomaly detection, and operational optimization Build backend APIs using Python (FastAPI, Flask) to serve ML/DL models in production environments Apply advanced computer vision models (e.g., YOLO, Faster R-CNN) to object detection, intrusion detection, and visual monitoring tasks Translate business problems into analytical frameworks and data science solutions Work with data engineering and DevOps teams to operationalize and monitor models at scale Collaborate with product, domain experts, and engineering teams to iterate on solution design Contribute to technical documentation, model explainability, and reproducibility practices Required Skills Strong proficiency in Python for data science and backend development Experience with ML/DL libraries such as scikit-learn, TensorFlow, or PyTorch Solid knowledge of time-series modeling, forecasting techniques, and anomaly detection Experience building and deploying APIs for model serving (FastAPI, Flask) Familiarity with real-time data pipelines using Kafka, Spark, or similar tools Strong understanding of model validation, feature engineering, and performance tuning Ability to work with SQL and NoSQL databases, and large-scale datasets Good communication skills and stakeholder engagement experience Good to Have Experience with ML model deployment tools (MLflow, Docker, Airflow) Understanding of MLOps and continuous model delivery practices Background in aviation, logistics, manufacturing, or other industrial domains Familiarity with edge deployment and optimization of vision models Qualifications Masters or PhD in Data Science, Computer Science, Applied Mathematics, or related field 7+ years of experience in machine learning and data science, including end-to-end deployment of models in production

Job Summary: We are looking for an experienced SAS Visual Investigator (SAS VI) Developer to support our fraud detection, risk management, and compliance initiatives. The ideal candidate will leverage SAS VI to analyze large datasets, identify suspicious patterns, generate alerts, and build visual interfaces for real-time investigation. This role is critical in enhancing our enterprise fraud management capabilities and delivering actionable insights to business and compliance teams. Key Responsibilities: Design, develop, and implement solutions using SAS Visual Investigator for fraud detection, risk management, and anomaly detection. Analyze large and complex datasets to investigate suspicious activities and uncover potential fraudulent behavior. Build and maintain dynamic dashboards, visualizations, and alerts within SAS VI to support real-time decision-making. Integrate SAS VI with other systems, ensuring seamless data flow and operational effectiveness. Collaborate with compliance, IT, and analytics teams to support investigative workflows and reporting needs. Ensure high data quality, integrity, and security through rigorous validation and testing. Continuously monitor, evaluate, and enhance detection models and SAS VI configurations to improve performance. Stay current with evolving industry trends, fraud typologies, and regulatory standards in fraud risk and compliance. Qualifications: Proven hands-on experience with SAS Visual Investigator (SAS VI), preferably in a fraud or risk context. Strong understanding of fraud detection methodologies and compliance practices. Proficiency in data analysis, pattern recognition, and anomaly detection using SAS tools. Experience in developing and maintaining interactive dashboards and alert systems. Ability to work with large datasets and conduct detailed forensic data analysis. Knowledge of the SAS ecosystem including SAS Visual Analytics, SAS Data Integration, or SAS Viya, is a plus. Strong communication and documentation skills with the ability to translate findings for non-technical stakeholders. Experience integrating SAS VI with external systems and APIs is advantageous.

About Zscaler Serving thousands of enterprise customers around the world including 40% of Fortune 500 companies, Zscaler (NASDAQ: ZS) was founded in 2007 with a mission to make the cloud a safe place to do business and a more enjoyable experience for enterprise users. As the operator of the world’s largest security cloud, Zscaler accelerates digital transformation so enterprises can be more agile, efficient, resilient, and secure. The pioneering, AI-powered Zscaler Zero Trust Exchange™ platform, which is found in our SASE and SSE offerings, protects thousands of enterprise customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Named a Best Workplace in Technology by Fortune and others, Zscaler fosters an inclusive and supportive culture that is home to some of the brightest minds in the industry. If you thrive in an environment that is fast-paced and collaborative, and you are passionate about building and innovating for the greater good, come make your next move with Zscaler. Our Engineering team built the world's largest cloud security platform from the ground up, and we keep building. With more than 100 patents and big plans for enhancing services and increasing our global footprint, the team has made us and our multitenant architecture today's cloud security leader, with more than 15 million users in 185 countries. Bring your vision and passion to our team of cloud architects, software engineers, security experts, and more who are enabling organizations worldwide to harness speed and agility with a cloud-first strategy. We're looking for an experienced Staff Software Engineer to join our Unified API platform team. Reporting to the Director, you'll be responsible for: Leading identification and resolution of performance issues by developing advanced AI/ML models that pinpoint root causes of poor experience and detect performance bottlenecks for users Developing, maintaining, and refining predictive models to forecast user behavior, system performance, and potential friction points in the digital experience Implementing advanced AI/ML algorithms to detect and forecast anomalies in user experience across multiple dimensions Overseeing the entire lifecycle of ML projects, including analysis, training, testing, building, and deploying ML models into production environments Designing and creating compelling visualizations to effectively communicate findings and insights to both technical and non-technical stakeholders What We're Looking for (Minimum Qualifications) A Bachelors or Master’s(preferable) degree in Computer Science, Data Science, Statistics, or a related field with 4+ years of professional experience in data science or a related role Proficiency with data science tools and platforms such as Python, R, TensorFlow, SQL, and related libraries and frameworks Strong experience with networking and end-point observability systems Expertise in multi-dimensional anomaly detection algorithms, with a specific focus on time series data sets Strong experience in building and deploying ML models in production environments, including model orchestration using tools like Kubernetes and Airflow What Will Make You Stand Out (Preferred Qualifications) Published research or contributions to digital experience/end-user observability/networking/ data science community Demonstrated experience in the monitoring space, with a deep understanding of user experience metrics, monitoring tools, and methodologies Experience with designing complex systems and scaling ML models on large scale distributed systems #LI-Hybrid #LI-AN4 At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: Various health plans Time off plans for vacation and sick time Parental leave options Retirement options Education reimbursement In-office perks, and more! By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.

Job Summary: We are looking for an experienced SAS Visual Investigator (SAS VI) Developer to support our fraud detection, risk management, and compliance initiatives. The ideal candidate will leverage SAS VI to analyze large datasets, identify suspicious patterns, generate alerts, and build visual interfaces for real-time investigation. This role is critical in enhancing our enterprise fraud management capabilities and delivering actionable insights to business and compliance teams. Key Responsibilities: Design, develop, and implement solutions using SAS Visual Investigator for fraud detection, risk management, and anomaly detection. Analyze large and complex datasets to investigate suspicious activities and uncover potential fraudulent behavior. Build and maintain dynamic dashboards, visualizations, and alerts within SAS VI to support real-time decision-making. Integrate SAS VI with other systems, ensuring seamless data flow and operational effectiveness. Collaborate with compliance, IT, and analytics teams to support investigative workflows and reporting needs. Ensure high data quality, integrity, and security through rigorous validation and testing. Continuously monitor, evaluate, and enhance detection models and SAS VI configurations to improve performance. Stay current with evolving industry trends, fraud typologies, and regulatory standards in fraud risk and compliance. Qualifications: Proven hands-on experience with SAS Visual Investigator (SAS VI), preferably in a fraud or risk context. Strong understanding of fraud detection methodologies and compliance practices. Proficiency in data analysis, pattern recognition, and anomaly detection using SAS tools. Experience in developing and maintaining interactive dashboards and alert systems. Ability to work with large datasets and conduct detailed forensic data analysis. Knowledge of the SAS ecosystem including SAS Visual Analytics, SAS Data Integration, or SAS Viya, is a plus. Strong communication and documentation skills with the ability to translate findings for non-technical stakeholders. Experience integrating SAS VI with external systems and APIs is advantageous.

Job Summary: We are seeking a skilled professional with experience in SAS Visual Investigator (SAS VI) to help enhance our fraud detection and risk management initiatives In this role, you will work with advanced SAS tools to analyze complex data, detect anomalies, and investigate suspicious activities Your key responsibilities will include identifying patterns, generating alerts for potential fraud risks, and developing visualizations and dashboards to present insights to stakeholders You will also play a vital role in ensuring compliance and contributing to the continuous improvement of fraud prevention strategies. Key Responsibilities: Design and implement solutions in SAS VI for fraud detection, risk management, compliance, and anomaly detection. Investigate suspicious activities by analyzing large datasets to identify patterns and fraud risks. Develop and maintain dashboards and visualizations to communicate insights and alerts to stakeholders. Use SAS VI to detect and alert fraudulent activities, ensuring compliance and timely intervention. Collaborate with teams to integrate SAS VI with other systems for seamless fraud management. Continuously assess and improve fraud detection processes and system performance. Ensure data quality and integrity with rigorous validation and troubleshooting in SAS VI. Stay updated on trends and best practices in fraud detection, compliance, and anomaly detection. Qualifications: Use SAS VI for fraud detection, risk management, and anomaly detection. Investigate suspicious activities, identify patterns, and generate alerts. Develop dashboards and visualizations to present findings. Integrate SAS VI with other systems for fraud management. Ensure data quality and improve fraud detection processes Bachelors degree in Computer Science, Data Analytics, Statistics, or a related field.

About Firstsource Firstsource Solutions is a leading provider of customized Business Process Management (BPM) services. Firstsource specialises in helping customers stay ahead of the curve through transformational solutions to reimagine business processes and deliver increased efficiency, deeper insights, and superior outcomes. We are trusted brand custodians and long-term partners to 100+ leading brands with presence in the US, UK, Philippines, India and Mexico. Our rightshore delivery model offers solutions covering complete customer lifecycle across Healthcare, Telecommunications & Media and Banking, Financial Services & Insurance verticals. Our clientele includes Fortune 500 and FTSE 100 companies. Fraud Technical Specialist Band 4 What You Will Do: Reporting into the Fraud Technical Lead, you will work as part of a team to help underpin the delivery of Skys Technical Fraud strategy ensuring Sky is afforded the highest level of protection via efficient and optimal use of best-in-class fraud controls. Undertake operational tasks that ensure the smooth running of Skys fraud function across multiple systems. Continually build comprehensive knowledge of common fraud trends through a mixture of analyst feedback and proactive interrogation of data. Present rule configuration changes to the Fraud Technical Lead with the aim of optimising overall fraud detection. Respond to information requests by developing customised reports through the combination of SQL database queries and ad-hoc data extracts. Be able to go beyond figures and deliver meaningful insight in a way that can be easily digested by various stakeholders to help answer the important questions. Be involved in maintaining quality assurance of fraud systems through user acceptance testing of upgrade deployments and or system enhancements. Ensure functional deliveries match expected requirements whilst all bugs and issues are removed prior to production release. Respond to system incidents by working with relevant support teams / vendors to resolve operational issues within the defined schedules and service level agreements. Apply commercial judgement to correctly prioritize operational malfunctions and ensure impactful system issues are appropriately escalated. Key Skills & Experience Include: Highly numerate preferably with experience in a data analysis role Strong proven SQL experience is a must Solid critical thinking and methodical approach when dealing with technical issues Demonstrates resilience when faced with competing priorities Previous fraud experience advantageous but not essential Disclaimer: Firstsource follows a fair, transparent, and merit-based hiring process. We never ask for money at any stage. Beware of fraudulent offers and always verify through our official channels or @firstsource.com email addresses.

Role & responsibilities: Design and implement transaction monitoring rules and models for merchant financing and payments. Analyze merchant transaction data to detect suspicious, fraudulent, or anomalous behavior patterns. Collaborate with data science teams to build and refine anomaly detection algorithms using machine learning and statistical methods. Perform deep dives on flagged transactions to identify root causes and patterns. Work closely with risk, product, compliance, and engineering teams to define detection strategies and enhance risk scoring systems. Maintain and improve the transaction monitoring system, including rule tuning and false positive reduction. Ensure timely escalation and reporting of suspicious activity to compliance and regulatory bodies as required (e.g., SARs/STRs). Conduct post-incident analysis to improve detection capabilities and reduce future risk. Prepare periodic reports and dashboards for senior management and regulatory reporting. Preferred candidate profile : Required Qualifications Bachelors or master’s degree in finance, Data Science, Statistics, Computer Science, or related field. 7+ years of experience in transaction monitoring, fraud analytics, or anomaly detection in financial services, preferably in merchant/acquirer finance. Strong analytical skills with hands-on experience in SQL, Python or other analytical tools. Experience with rule-based and machine learning-based anomaly detection systems. Familiarity with merchant behavior analytics, risk profiling, and fraud typologies. Understanding of AML (Anti-Money Laundering), KYC, and regulatory requirements. Excellent communication and documentation skills.

Looking for a strong ML engineer with end to end exposure in ML lifecycle , Azure etc Strong background in data science and machine learning, particularly in anomaly detection. Experience in deploying ML models to production in cloud environments.

About Salesforce Were Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good youve come to the right place. Software Engineering Job Description Service Cloud is a Salesforce platform for customer service and support management. The Service Cloud team builds technology to automate service processes, streamline workflows and store and intelligently mine knowledge articles with AI to support customers solve problems. The platform supports interaction with AI-powered chatbots to get accurate automated answers quickly. Service Cloud Voice is a recent innovation on the Service Cloud platform that unifies phone, digital channels and CRM data in real-time in one centralized console.Describe the TeamThe Q3 Engineering team is a strong accomplished organization of quality experts that strongly believes in Quality and Innovation. We are passionate about Quality, tooling and engineering efficiency. We believe in being a trusted advisor to our engineering teams.This is a great opportunity to work with some of the finest Q3s in Salesforce who have not only excelled in their role but have also developed tools like Bento, Q3Bot, ScratchBot, Taleggio, Anomaly Detection and many more that are used across Salesforce. As a Q3 engineer you will influence the design and drive our #1 value Trust across teams. You will need to have hands-on programing experience (Java, JS preferable) and knowledge on producing a good, concrete test plan/specification document. Required Skills and ExperienceCandidates having a minimum of 15+ years of relevant technical experience.Strong knowledge of system architecture, operating systems, databases and coding languages (preferably Java/J2EE, JavaScript)The ability to work independently, as part of a team and within multiple teams.The ability of defining the right quality assurance process for the organizationExperience with testing methodologies and automation technologies. Define and influence a quality culture that enables both rapid transformation of ideas to requirements to products, and diligent and deliberate compliance to internal quality management system requirements in design and developing them.Domain knowledge in CCaaS/CPaaS/UCaaSExtensive experience in testing and validating Telephony, VoIP, and WebRTC-based communication systemsHands-on experience with tools like Wireshark, SIPp, Jitsi, or equivalent for VoIP/WebRTC testing is requiredHighly Desirable SkillsAutomate, optimize and drive efficiency of effort, code, and processHighly proficient in Java or a similar language Understanding of Object Oriented ProgrammingFamiliar with industry quality & usability practicesProficient in scripting functional/UI automation tests using Selenium Webdriver &Helpful Experience with open source test tools UI and/or API automation testing including working experience with unit test automation frameworks Ability to triage issues, react well to changes, work with teams and ability to multitask on multiple -products and projects Excellent communication, collaboration, reporting, analytical and problem solving skillsExperience building test frameworks for creating applications on various platforms Strong sense of ownership, vitality, and drive Resolve sophisticated technical issues and drive innovations that improve system availability, resilience, and performanceCreate, maintain and share user documentation used by engineers and other team members Provide mentorship to other team members and partner with other SMEs across the organizationBachelors degree (or its foreign degree equivalent) in Computer Science, Engineering, or a related quantitative subject areaProven leadership abilities in an engineering environment in driving operational excellence and standard processes Proven ability to achieve stretch goals in a highly innovative and fast paced environmentAbility to meet Salesforce, customer and/or government security screening requirements are required for this role. Salesforce Background Check: This position will be required to pass the Salesforce background check upon hire/transferResponsibilitiesA strong PMTS should be able to lead and coordinate the efforts of others to successfully deliver high quality products. Excel in one or more areas as demonstrated by strong technical ability, ability to implement sophisticated automation, or extensive knowledge of the Salesforce application.Capable of owning complex or highly ambiguous features. Has a broader understanding of all functionality owned by their scrum teams.Technical expert in quality concerns and validation techniques in an area of influence which spans multiple teams. Well versed in industry standard techniques used to ensure high quality software. Advises lower grade engineers on quality methodology, especially as directly applicable to their area of concern, which may include developing and presenting training programs and other forms of support. Drives change in SFDC quality tools and processes.Is a strong voice for getting to done and for following the spirit of ADM/Scrum. Is successful at influencing teams to follow practices that contribute to high quality. May suggest improvements or participate in process improvements around quality aspects of ADM/Scrum.Owns product area that may span multiple teams. Helps set direction for the owned area and guides work of LMTS and lower grades within the area. Coordinates closely with management to ensure that Q3 work is aligned with business priorities and that team skills and staffing adequately support the area. Represents product area to internal teams and possibly external groups.Continues to deepen and widen their understanding of the application and is comfortable leveraging that knowledge to engage in beneficial discussion in open forums such as concept reviews, VAT discussions, and cross team discussions. Develops strategic vision and organizes work for a focused technical area. Plans and leads projects for the team. May plan projects that extend over multiple releases. Provides guidance to LMTS and lower grades in planning and organizing work.Encourages others to look at problems and processes in new ways. Identifies opportunities to increase efficiency, simplicity, and revenue. Approaches problems with curiosity and open-mindedness. Generates innovative ideas and solutions to problems.Fosters an environment where people can draw on each other's strengths and experience to work together effectively, within and across teams. Appropriately involves others in decisions and plans that affect them. Provides honest, helpful feedback to others on their performance. Share their own experience and expertise with others.Carefully monitors the accuracy and quality of work methods and outputs. Is committed to excellence. Seeks out and applies best practices. Probes and looks past symptoms to determine the underlying causes of problems and issues. Addresses problems with accuracy, speed and thoroughness.Has developed deeper and broader knowledge of the platform and applications and exhibits deeper understanding in their thorough test strategies, test planning and test plan reviewsIdentifies feature areas that need additional/enhanced testing and organizes test reviews to resolve issues. Uses deep and broad understanding of the Salesforce.com application to ensure thorough and rigorous testing of the E2E feature integration testing. Vocal participation in design reviews, technical specification reviews, and test plan reviews with an eye for dependencies and corner cases and the ability to influence and contribute significantly to feature design.Will keep informed of issues risks impacting the feature deliverables and come up with triage planStrives to understand the technical implementation of their feature. Understands integration, security issues that affect their feature areas.Adopt the use of github or version controls tools.Have advanced programming (preferably Java, Java Script) database knowledge and hands on experience. May participate in code reviews (along with a developer). Helps evolve current best practices. Can mentor LMTS level and below on their technical competencies.Building automation frameworks, helps set standards for automation. Addresses automation deficiencies at cross-feature level. Helps stabilize problem feature areas with automation. May give workshops on best practices. Helps enforce best practices on their team. Able to mentor LMTS level and below on their automation competencies.Sets and achieves goals around raising automation coverage for their scrum team. Identifies areas of automation that need improvement and works on improving them. Understands coding practices and is able to mentor others in improving the health of their test code. Generally able to mentor LMTS level and below on their automation competencies.SummaryService Cloud is a Salesforce platform for customer service and support management. The Service Cloud team builds technology to automate service processes, streamline workflows and store and intelligently mine knowledge articles with AI to support customers solve problems. The platform supports interaction with AI-powered chatbots to get accurate automated answers quickly. Service Cloud Voice is a recent innovation on the Service Cloud platform that unifies phone, digital channels and CRM data in real-time in one centralized console.The Q3 Engineering team is a strong accomplished organization of quality experts that strongly believes in Quality and Innovation. We are passionate about Quality, tooling and engineering efficiency. We believe in being a trusted advisor to our engineering teams. This is a great opportunity to work with some of the finest Q3s in Salesforce who have not only excelled in their role but have also developed tools like Bento, Q3Bot, ScratchBot, Taleggio, Anomaly Detection and many more that are used across Salesforce. As a Q3 engineer you will influence the design and drive our #1 value Trust across teams. You will need to have hands-on programing experience (Java, JS preferable) and knowledge on producing a good, concrete test plan/specification document.

Responsibilities: We are seeking a skilled SAS VI Developer to join our team. The ideal candidate will have a deep understanding of SAS Visual Investigator and its applications in fraud detection, risk management, and compliance. Key Responsibilities: Provide expertise in the implementation and configuration of SAS Visual Investigator for fraud detection and prevention, risk management, and compliance initiatives. Collaborate with clients to understand their business requirements and translate them into effective solutions using SAS Visual Investigator. Design and develop analytical models, rules, and alerts to identify anomalies, patterns, and suspicious activities. Configure dashboards and reports in SAS Visual Investigator to provide actionable insights to stakeholders. Conduct training sessions and workshops to educate clients on the use of SAS Visual Investigator and best practices in fraud detection and risk management. Work closely with cross-functional teams, including data scientists, business analysts, and IT professionals, to ensure successful project delivery. Provide ongoing support and maintenance for SAS Visual Investigator implementations, including troubleshooting issues and optimizing performance. Requirements: Bachelor's degree in Computer Science, Information Technology, or related field. Minimum of 5 years of experience in implementing and configuring SAS Visual Investigator. Strong understanding of fraud detection, risk management, and compliance principles and methodologies. Proficiency in SAS programming and experience with SAS Visual Analytics is preferred. Excellent communication and interpersonal skills, with the ability to effectively engage with clients and stakeholders. Strong analytical and problem-solving abilities, with a keen attention to detail. Ability to work independently and collaboratively in a fast-paced environment.

Purpose of the Position: We are seeking a talented and experienced Senior Data Scientist to join our growing team. The ideal candidate will have a strong background in supply chain and operations, with expertise in developing advanced data science solutions for anomaly detection, forecasting, and revenue optimization using convolutional neural networks (CNN), Python, and PySpark. Location: Bangalore. Key Result Areas and Activities: Primary responsibilities:? Collaborate with cross-functional teams to understand business requirements and identify opportunities for leveraging data science to drive revenue growth and improve operational efficiency in the supply chain and operations domain. Design, develop, and deploy advanced data science models and algorithms for traditional and GenAI business products, with a focus on CNN anomaly detection, forecasting, and revenue optimization. Analyse large and complex datasets to extract actionable insights and develop predictive models that provide valuable business intelligence and support data-driven decision-making processes. Implement scalable and efficient data processing pipelines using Python and PySpark to pre-process, clean, and transform raw data into a format suitable for analysis and modelling. Evaluate the performance of data science models using appropriate metrics and techniques, and iterate on model design and parameters to continuously improve accuracy and effectiveness. Collaborate with software engineers and DevOps teams to integrate data science models into production systems and ensure scalability, reliability, and performance. Stay up-to-date with the latest advancements in data science, machine learning, and artificial intelligence technologies, and proactively identify opportunities to apply new techniques and methodologies to solve business challenges. Roles & Responsibilities Essential Skills: Bachelor's degree or higher in Computer Science, Engineering, Mathematics, Statistics, or a related field. Advanced degree preferred. 7+ years of experience in data science, machine learning, and predictive analytics, with a focus on supply chain and operations. Strong proficiency in Python and PySpark for data manipulation, analysis, and modelling. Experience with libraries such as Pandas, NumPy, TensorFlow, and PyTorch is highly desirable. Solid understanding of convolutional neural networks (CNN) and deep learning techniques for anomaly detection, forecasting, and revenue optimization. Experience working with large-scale datasets and distributed computing frameworks for processing and analysing big data, such as Hadoop, Spark, and Databricks. Proven track record of developing and deploying data science solutions in production environments, with a focus on delivering measurable business impact and value. Excellent communication skills and ability to effectively collaborate with cross-functional teams, including business stakeholders, data engineers, software developers, and product managers. Strong analytical and problem-solving skills, with a passion for using data-driven approaches to solve complex business problems and drive innovation. Good to have This individual will be self-directed, highly motivated, and organized with strong analytical thinking and problem-solving skills, and have an ability to work on multiple projects and function in a team environment. Expertise in managing complex projects, ensuring timely delivery and adherence to budget.

About Zscaler Serving thousands of enterprise customers around the world including 40% of Fortune 500 companies, Zscaler (NASDAQ: ZS) was founded in 2007 with a mission to make the cloud a safe place to do business and a more enjoyable experience for enterprise users. As the operator of the world’s largest security cloud, Zscaler accelerates digital transformation so enterprises can be more agile, efficient, resilient, and secure. The pioneering, AI-powered Zscaler Zero Trust Exchange™ platform, which is found in our SASE and SSE offerings, protects thousands of enterprise customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Named a Best Workplace in Technology by Fortune and others, Zscaler fosters an inclusive and supportive culture that is home to some of the brightest minds in the industry. If you thrive in an environment that is fast-paced and collaborative, and you are passionate about building and innovating for the greater good, come make your next move with Zscaler. Our Engineering team built the world's largest cloud security platform from the ground up, and we keep building. With more than 100 patents and big plans for enhancing services and increasing our global footprint, the team has made us and our multitenant architecture today's cloud security leader, with more than 15 million users in 185 countries. Bring your vision and passion to our team of cloud architects, software engineers, security experts, and more who are enabling organizations worldwide to harness speed and agility with a cloud-first strategy. We're looking for an experienced Senior Staff Software Development Engineer to join our Engineering team. Reporting to the Manager, Machine Learning Engineering, you'll be responsible for: Building and maintaining large-scale distributed systems to support the whole pipeline including data collection, feature engineering, model training, model evaluation, model deployment, and real-time serving Developing functional specifications, assess task requirements and scheduling, and participate in the development, debug, and support Solving complex real-world business problems by working closely with various stakeholders What We're Looking for (Minimum Qualifications) Must have 10+ years of experience as a Software Engineer or ML platform engineer Experience with algorithms and programming skills in building out data collection/processing infrastructure, Machine Learning model training, and serving platforms Experience using distributed data processing such as Spark, BigQuery or Apache Beam Deep expertise with cloud infrastructure (e.g. AWS, GCP) for AI workloads What Will Make You Stand Out (Preferred Qualifications) Identified and solved problems in data using anomaly detection systems Familiarity with multi-agent systems and orchestration frameworks Strong experience with LLM's, agent architectures, prompt engineering and SOTA AI frameworks #LI-AN4 #LI-Hybrid At Zscaler, we believe that diversity drives innovation, productivity, and success. We are looking for individuals from all backgrounds and identities to join our team and contribute to our mission to make doing business seamless and secure. We are guided by these principles as we create a representative and impactful team, and a culture where everyone belongs. For more information on our commitments to Diversity, Equity, Inclusion, and Belonging, visit the Corporate Responsibility page of our website. Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: Various health plans Time off plans for vacation and sick time Parental leave options Retirement options Education reimbursement In-office perks, and more! By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is proud to be an equal opportunity and affirmative action employer. We celebrate diversity and are committed to creating an inclusive environment for all of our employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status or any other characteristics protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. For additional information about the federal requirements, click here . Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.

Job Title: AI & ML Computational Science Consultant Location: Bangalore (BDC7C) Experience Level: 5+ Years About the Role The AI/ML Computational Science Consultant will develop and optimize advanced AI/ML models to solve complex business problems, leveraging large datasets for insights. This role involves leading a team of data scientists, collaborating with cross-functional teams, and effectively communicating findings to stakeholders. The consultant will also focus on deploying models as APIs and staying updated with the latest AI/ML advancements. Key Responsibilities Model Development: Design, implement, and optimize AI/ML models (both supervised and unsupervised) to address complex business challenges. Data Handling: Conduct data preprocessing, feature engineering, and model validation while analyzing large datasets for insights. Anomaly Detection & Time Series: Develop models for anomaly detection and perform time series analysis. Deployment: Package and deploy AI/ML models as APIs for seamless integration with other systems. Team Leadership: Mentor junior data scientists and business analysts, leading project teams. Collaboration: Work with cross-functional teams to define project objectives and gather requirements for successful delivery. Communication: Present findings and recommendations clearly to clients and stakeholders. Continuous Learning: Stay abreast of AI/ML advancements to enhance model performance. Documentation: Maintain thorough documentation for models, algorithms, and processes. Technical Skills: Utilize Python, PySpark, SQL, Excel, and Databricks for data analysis and model deployment. Qualifications Required Qualifications Education :Bachelors or Masters degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. Experience :Over 5 years in data science, machine learning, and AI. Technical Proficiency :Strong skills in Python, PySpark, SQL, Excel; experience with anomaly detection and time series analysis. Leadership Skills :Proven ability to lead teams and manage multiple projects simultaneously. Communication Skills :Excellent interpersonal skills for effective stakeholder engagement. API Deployment Experience :Familiarity with packaging models as APIs; experience with Databricks is preferred. Advanced Knowledge :Experience with Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) concepts is a plus. Preferred Skills Familiarity with cloud platforms (AWS, Azure, GCP) and big data technologies. Knowledge of data visualization tools (e.g., Tableau, Power BI). Experience with containerization technologies like Docker and Kubernetes. Understanding of data integration and ETL processes.

About The Role : Template Job Title - Decision Science Practitioner Analyst S&C GN Management Level :Analyst Location:Bangalore/ Kolkata Must have skills: Collibra Data Quality - data profiling, anomaly detection, reconciliation, data validation, Python, SQL Good to have skills: PySpark, Kubernetes, Docker, Git Job Summary :We are seeking a highly skilled and motivated Data Science cum Data Engineer Senior Analyst to lead innovative projects and drive impactful solutions in domains such as Consumer Tech , Enterprise Tech , and Semiconductors . This role combines hands-on technical expertise , and client delivery management to execute cutting-edge projects in data science & data engineering Key Responsibilities Data Science and Engineering Implement and manage end to end Data Quality frameworks using Collibra Data Quality (CDQ). This includes requirement gathering from the client, code development on SQL, Unit testing, Client demos, User acceptance testing, documentation etc. Work extensively with business users, data analysts, and other stakeholders to understand data quality requirements and business use cases. Develop data validation, profiling, anomaly detection, and reconciliation processes. Write SQL queries for simple to complex data quality checks . Python, and PySpark scripts to support data transformation and data ingestion. Deploy and manage solutions on Kubernetes workloads for scalable execution. Maintain comprehensive technical documentation of Data Quality processes and implemented solutions. Work in an Agile environment , leveraging Jira for sprint planning and task management. Troubleshoot data quality issues and collaborate with engineering teams for resolution. Provide insights for continuous improvement in data governance and quality processes. Build and manage robust data pipelines using Pyspark and Python to read and write from databases such as Vertica and PostgreSQL. Optimize and maintain existing pipelines for performance and reliability. Build custom solutions using Python, including FastAPI applications and plugins for Collibra Data Quality. Oversee the infrastructure of the Collibra application in Kubernetes environment, perform upgrades when required, and troubleshoot and resolve any Kubernetes issues that may affect the applications operation. Deploy and manage solutions, optimize resources for deployments in Kubernetes, including writing YAML files and managing configurations Build and deploy Docker images for various use cases, ensuring efficient and reusable solutions. Collaboration and Training Communicate effectively with stakeholders to align technical implementations with business objectives. Provide training and guidance to stakeholders on Collibra Data Quality usage and help them build and implement data quality rules. Version Control and Documentation Use Git for version control to manage code and collaborate effectively. Document all implementations, including data quality workflows, data pipelines, and deployment processes, ensuring easy reference and knowledge sharing. Database and Data Model Optimization Design and optimize data models for efficient storage and retrieval. Required Qualifications Experience:2+ years in data science Education:B.tech, M.tech in Computer Science, Statistics, Applied Mathematics, or related field Industry Knowledge:Preferred experience in Consumer Tech, Enterprise Tech, or Semiconductors but not mandatory Technical Skills Programming: Proficiency in Python , SQL for data analysis and transformation. Tools :Hands-on experience with Collibra Data Quality (CDQ) or similar Data Quality tools (e.g., Informatica DQ, Talend, Great Expectations, Ataccama, etc.). Experience working with Kubernetes workloads. Experience with Agile methodologies and task tracking using Jira. Preferred Skills Strong analytical and problem-solving skills with a results-oriented mindset. Good communication & requirement gathering capabilities. Additional Information: - The ideal candidate will possess a strong educational background in quantitative discipline and experience in working with Hi-Tech clients - This position is based at our Bengaluru (preferred) and Kolkata office. Qualifications Experience: 2+ years in data science Educational Qualification:B tech, M tech in Computer Science, Statistics, Applied Mathematics, or related field

About The Role : Template Job Title - Decision Science Practitioner Analyst S&C GN Management Level :Senior Analyst Location:Bangalore/ Kolkata Must have skills: Collibra Data Quality - data profiling, anomaly detection, reconciliation, data validation, Python, SQL Good to have skills: PySpark, Kubernetes, Docker, Git Job Summary :We are seeking a highly skilled and motivated Data Science cum Data Engineer Senior Analyst to lead innovative projects and drive impactful solutions in domains such as Consumer Tech , Enterprise Tech , and Semiconductors . This role combines hands-on technical expertise , and client delivery management to execute cutting-edge projects in data science & data engineering Key Responsibilities Data Science and Engineering Implement and manage end to end Data Quality frameworks using Collibra Data Quality (CDQ). This includes requirement gathering from the client, code development on SQL, Unit testing, Client demos, User acceptance testing, documentation etc. Work extensively with business users, data analysts, and other stakeholders to understand data quality requirements and business use cases. Develop data validation, profiling, anomaly detection, and reconciliation processes. Write SQL queries for simple to complex data quality checks . Python, and PySpark scripts to support data transformation and data ingestion. Deploy and manage solutions on Kubernetes workloads for scalable execution. Maintain comprehensive technical documentation of Data Quality processes and implemented solutions. Work in an Agile environment , leveraging Jira for sprint planning and task management. Troubleshoot data quality issues and collaborate with engineering teams for resolution. Provide insights for continuous improvement in data governance and quality processes. Build and manage robust data pipelines using Pyspark and Python to read and write from databases such as Vertica and PostgreSQL. Optimize and maintain existing pipelines for performance and reliability. Build custom solutions using Python, including FastAPI applications and plugins for Collibra Data Quality. Oversee the infrastructure of the Collibra application in Kubernetes environment, perform upgrades when required, and troubleshoot and resolve any Kubernetes issues that may affect the applications operation. Deploy and manage solutions, optimize resources for deployments in Kubernetes, including writing YAML files and managing configurations Build and deploy Docker images for various use cases, ensuring efficient and reusable solutions. Collaboration and Training Communicate effectively with stakeholders to align technical implementations with business objectives. Provide training and guidance to stakeholders on Collibra Data Quality usage and help them build and implement data quality rules. Version Control and Documentation Use Git for version control to manage code and collaborate effectively. Document all implementations, including data quality workflows, data pipelines, and deployment processes, ensuring easy reference and knowledge sharing. Database and Data Model Optimization Design and optimize data models for efficient storage and retrieval. Required Qualifications Experience:4+ years in data science Education:B tech, M tech in Computer Science, Statistics, Applied Mathematics, or related field Industry Knowledge:Preferred experience in Consumer Tech, Enterprise Tech, or Semiconductors but not mandatory Technical Skills Programming: Proficiency in Python , SQL for data analysis and transformation. Tools :Hands-on experience with Collibra Data Quality (CDQ) or similar Data Quality tools (e.g., Informatica DQ, Talend, Great Expectations, Ataccama, etc.). Experience working with Kubernetes workloads. Experience with Agile methodologies and task tracking using Jira. Preferred Skills Strong analytical and problem-solving skills with a results-oriented mindset. Good communication, stakeholder management & requirement gathering capabilities. Additional Information: - The ideal candidate will possess a strong educational background in quantitative discipline and experience in working with Hi-Tech clients - This position is based at our Bengaluru (preferred) and Kolkata office. Qualifications Experience: 4+ years in data science Educational Qualification:B tech, M tech in Computer Science, Statistics, Applied Mathematics, or related field

The FinTech - Data Science team at Uber is on the lookout for an exceptional Data Scientist to join our Finance Data Store (FDS) team in Hyderabad, India. This is not just another data science role you will be at the core of Ubers financial data ecosystem , driving automation, anomaly detection, and financial forecasting that power Ubers global operations. In this role, youll work hand-in-hand with Finance, Engineering, Data Science, Product and Operations teams to turn raw financial data into meaningful insights and strategic decisions . Youll build cutting-edge machine learning models , develop financial forecasting tools , and create scalable, automated data pipelines that fuel Ubers financial strategy. If youre a data powerhouse with a passion for financial modeling, analytics, and automation , this is your chance to make a massive impact at a company that moves millions of people every day. Why Join Us The Finance Data Store (FDS) team sits at the heart of Ubers financial ecosystem , influencing high-impact decisions across Finance, Operations, and Data Science. Were the data backbone of Ubers financial strategy , ensuring our numbers are accurate, scalable, and automated. If you love diving deep into financial data, driving innovation through machine learning, and collaborating with world-class teams , this is the place to be.

GlaxoSmithKline Pharmaceuticals Limited is looking for Senior Data Scientist to join our dynamic team and embark on a rewarding career journey Data Analysis: Analyze large datasets to identify trends, patterns, and correlations that can provide valuable insights for the organization's strategic decision-making process Machine Learning: Develop and deploy machine learning models for various business applications, such as predictive modeling, classification, recommendation systems, and anomaly detection Model Validation: Assess and validate the performance of machine learning models through rigorous testing, evaluation, and tuning to ensure high accuracy and reliability Data Visualization: Create clear and compelling data visualizations to present complex analyses and results to both technical and non-technical stakeholders Predictive Analytics: Utilize predictive modeling techniques to forecast business outcomes, customer behavior, and market trends to support business planning and strategy Data-driven Decision Making: Collaborate with cross-functional teams to translate analytical findings into actionable insights and drive data-driven decision-making across the organization Research and Innovation: Stay up-to-date with the latest advancements in data science, machine learning, and related fields, and explore new tools and techniques to improve analytical capabilities Data Governance: Advocate for data integrity and quality, ensuring that data sources are reliable and appropriately managed, and comply with data privacy and security regulations

Description BS/MS degree in Computer Science or equivalent 1015 years of experience building products on distributed systems, preferably in the Data Security domain Working knowledge of the security domain - Ransomware protection, Anomaly detection, data classification and compliance of unstructured data. Strong knowledge of Cloud platform, APIs, containers, Kubernetes, and Snowflake Knowledge of building micro-service-based applications. Hands-on development in either Golang or Python Strong development experience in Linux/Unix OS platform

About Zscaler Serving thousands of enterprise customers around the world including 40% of Fortune 500 companies, Zscaler (NASDAQ: ZS) was founded in 2007 with a mission to make the cloud a safe place to do business and a more enjoyable experience for enterprise users. As the operator of the world’s largest security cloud, Zscaler accelerates digital transformation so enterprises can be more agile, efficient, resilient, and secure. The pioneering, AI-powered Zscaler Zero Trust Exchange™ platform, which is found in our SASE and SSE offerings, protects thousands of enterprise customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Named a Best Workplace in Technology by Fortune and others, Zscaler fosters an inclusive and supportive culture that is home to some of the brightest minds in the industry. If you thrive in an environment that is fast-paced and collaborative, and you are passionate about building and innovating for the greater good, come make your next move with Zscaler. Our Engineering team built the world's largest cloud security platform from the ground up, and we keep building. With more than 100 patents and big plans for enhancing services and increasing our global footprint, the team has made us and our multitenant architecture today's cloud security leader, with more than 15 million users in 185 countries. Bring your vision and passion to our team of cloud architects, software engineers, security experts, and more who are enabling organizations worldwide to harness speed and agility with a cloud-first strategy. We're looking for an experienced Machine Learning Software Development Engineer to join our Engineering team. Reporting to the Senior Director, Machine Learning Engineering, you'll be responsible for: Leading the identification and resolution of performance issues by developing models that pinpoint root causes of poor experience and detect performance bottlenecks Developing, maintaining, and refining predictive models to forecast user behavior, system performance, and potential friction points Implementing AI/ML algorithms to detect and forecast anomalies in user performance data across multiple dimensions Overseeing the entire lifecycle of ML projects, including analysis, training, testing, building, and deploying ML models into production environments Designing and creating compelling visualizations to effectively communicate findings and insights to both technical and non-technical stakeholders What We're Looking for (Minimum Qualifications) Must have 3+ years of experience as a Software Engineer or ML platform engineer Proficiency with data science tools and platforms such as Python, R, TensorFlow, SQL, and related libraries and frameworks 7+ years of experience in Python and SQL Expertise in multi-dimensional anomaly detection algorithms, with a specific focus on time series data sets Experience in building and deploying ML models in production environments, including model orchestration using tools like Kubernetes and Airflow What Will Make You Stand Out (Preferred Qualifications) Network troubleshooting using tools like traceroute and understanding of various protocols such as HTTP, TCP, ICMP is highly advantageous Familiarity with Generative AI and NLP techniques Familiarity with networking and systems observability #LI-AN4 #LI-Hybrid At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: Various health plans Time off plans for vacation and sick time Parental leave options Retirement options Education reimbursement In-office perks, and more! By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.

# Contact +91 9947189235 (Share CV in Whatsapp) # Credentials- 1) For Hospitals, Medical Colleges and Diagnostic centres 2) Locations: South IND/ Kerala 3) Salary: 3L to 5 L per month (respective of Exp & Location) 4) Qualification: DNB/MD/DMRD Perks and benefits Accomodation Available