55 Classification Jobs - Page 2

We are looking for a skilled AI Architect with 10-12 years of experience in Data Science, including 4-5 years focused on architecting and designing AI solutions. The ideal candidate will have a strong background in machine learning, deep learning, natural language processing, and computer vision. ### Roles and Responsibility Lead the design and implementation of comprehensive AI architectures, encompassing machine learning, generative AI, and intelligent agent systems. Develop detailed technical documentation encompassing end-to-end system architecture, infrastructure requirements, API specifications, and deployment processes. Conduct research to explore new advancements in Machine Learning, GenAI, and Agents, and incorporate them into current and future projects. Establish guidelines and frameworks to maintain ethical AI development, mitigate biases, and ensure compliance with data privacy regulations and industry standards. Collaborate with cross-functional teams to support global clients and drive innovation. Design and implement scalable and efficient AI solutions that meet business needs. ### Job Requirements Excellent academic background in Data Science, Business Analytics, Statistics, Engineering, Operational Research, or other related field. Solid background in Python with excellent coding skills. Experience in machine learning, deep learning, natural language processing, and computer vision. Strong understanding of large language models like OpenAI models like ChatGPT, GPT4, function calling, frameworks like LangChain, Llama Index, agents, etc. Experience with AIOps and MLOps. Good understanding of open source LLM framework like Mistral, Llama, etc., and fine tuning on custom datasets. Deep learning (DNN, RNN, LSTM, Encoder-Decoder Models). Natural Language Processing - Text Summarization, Aspect Mining, Question Answering, Text Classification, NER, Language Translation, NLG, Sentiment Analysis. Computer Vision - Image Classification, Object Detection, Tracking, etc. SQL/NoSQL Databases and its manipulation components. Working knowledge of API Deployment (Flask/FastAPI/Azure Function Apps) and webapps creation, Docker, Kubernetes. Excellent written, oral, presentation, and facilitation skills. Ability to coordinate multiple projects and initiatives simultaneously through effective prioritization, organization, flexibility, and self-discipline. Demonstrated project management experience. Knowledge of firm’s reporting tools and processes. Proactive, organized, and self-sufficient with ability to prioritize and multitask. Analyzes complex or unusual problems and can deliver insightful and pragmatic solutions. Ability to quickly and easily create/gather/analyze data from a variety of sources. A robust and resilient disposition able to encourage discipline in team behaviors.

We are looking for a highly skilled and experienced Senior Fixed Assets Processor to join our team in Bengaluru. The ideal candidate will have 3-6 years of experience in financial analysis and accounting processes, with a strong background in SAP Fixed Assets module. ### Roles and Responsibility Process the acquisition, transfer, and disposal of fixed assets in SAP according to company policy. Ensure proper classification of assets/expenses in accordance with company policy. Maintain and update asset records, ensuring accuracy and completeness. Prepare periodic reconciliation between SAP fixed assets records and other subsystems' fixed asset records (Service Now). Identify opportunities for process improvements in fixed asset management and contribute to the development of best practices. Collaborate with Procurement, Finance, and IT teams to ensure alignment on fixed asset processes and policies. ### Job Requirements Strong understanding of fixed asset accounting principles and practices. Excellent analytical skills and attention to detail. Strong communication and interpersonal skills, with the ability to work effectively in a team environment. Flexibility and willingness to work as part of a team or on their own initiative. Ability to manage multiple tasks and meet deadlines in a fast-paced environment. Eagerness to learn quickly, be proactive, and share knowledge. B.Com or M.Com / MBA (Finance). Sound understanding of basic accounting concepts. Good communication skill. Exposure to Power Point Presentations is an added advantage. Knowledge of MS Excel and SAP.

We are looking for a skilled professional with 10 to 15 years of experience to join our team as an EY Data Protection & Privacy – Technology Consulting Manager in Bengaluru. ### Roles and Responsibility Develop, deliver, and lead cybersecurity and IT risk client engagements globally. Identify potential business opportunities for EY and GDS within existing engagements. Anticipate and identify risks within engagements and escalate them to senior management. Ensure high-quality work by following EY's quality standards. Foster teamwork and lead by example, contributing to people-related initiatives. Maintain an educational program to continually develop personal skills of staff. ### Job Requirements BE - B. Tech / MCA / M. Tech / MBA with a background in computer science and programming. More than 10 years of relevant experience in data protection and privacy. Strong Excel and PowerPoint skills, along with excellent analytical skills and knowledge of data analytics methods. Demonstrated leadership abilities and excellent interpersonal, written, verbal, communication, and presentation skills. Experience in managing large teams to deliver Cyber services or complex projects. Review of Data Protection & Privacy engagements during different phases of the lifecycle – assess, design, and implementation. Develop strategic and tactical Data security remediation recommendations / cyber risk roadmap to address identified security gaps. Hands-on experience with key components of Cyber Security including (but not limited to): Information Security concepts related to Governance, Risk & Compliance DLP/Data Classification/CASB/DAM, Encryption, Tokenization, PKI, CLM Technology support and Event Handling Regulations/standards such as ISO 27001, PCI DSS, HIPAA, HITRUST, GDPR, CCPA Extend required support for any reported data protection and privacy incidents such as information breaches and leakages. Ability to guide teams through the design and implementation of Data security solutions that reduce vulnerability, strengthen controls and optimize organizational efficiency In-depth knowledge of general security concepts, such as defense-in-depth, least privilege, security architecture and design, etc. Develops budget, scope, and staffing recommendations based on understanding of client budget and project economics

We are looking for a skilled Senior Consultant with 5 to 12 years of experience to join our Tax Technology practice in Bangalore, India. The ideal candidate will have a strong background in software engineering and information technology. ### Roles and Responsibility Assist project teams in estimating architecture design effort and developing/ reviewing/ approving architecture designs. Serve as a subject matter expert to program/project teams in the plan, design, and delivery of technical solutions. Lead the solution design and development of tax tools and technology solutions. Communicate effectively with senior IT leaders on program strategies and plans, negotiating quality solutions. Collaborate with cross-functional teams to deliver high-quality results. Develop and maintain technical documentation for tax technology projects. ### Job Requirements Bachelor's or Master's degree in Software Engineering, Information Technology, MBA, or MCA. 5-12 years of experience in SAP Global Trade Services (GTS). Experience in SAP GTS Customs management, including customs declarations, export and import processes, inward process, transit/presentation, bonded warehouse, electronic filing, and product classification. Strong understanding of technology tools such as SAP GTS Compliance Management, Sanction party list screening, Embargo, Product Classification, Legal control (Export, Import), and SAP GTS Customs management. Excellent communication and interpersonal skills. Ability to work in a fast-paced environment and meet deadlines. Hands-on experience with configuration settings in Feeder systems (ECC/S4) like document types and master data. Gather application-specific project requirements, participate in pre-project launch discussions with architects, and drive detailed application design in SAP applications by leveraging SAP standard solutions wherever possible. Team player with team handling and people management skills. Scrum and project management experience.

We are looking for a skilled Change Manager to lead our team in implementing and driving adoption of technology products across all employees. The ideal candidate will have approximately 8-10 years of experience leading complex people-side change projects. ### Roles and Responsibility Design and manage campaigns to implement and drive adoption of technology products. Enable employees to adopt new ways of working through compelling change campaigns. Collaborate with technologists and business experts to meet the increasing pace of business growth. Develop large-scale change management plans, including assessments, stakeholder analyses, success metrics, and communications activities. Manage indirect resources from other EY Technology areas assigned to program tasks. Drive user classification across the adoption curve to increase productivity. ### Job Requirements Exceptional communication skills, both written and verbal, for leaders and end-users. Strong project management skills, including planning, reporting, and communicating. Experience in developing and executing large-scale change management plans. Knowledge of digital adoption, market/user demands, and stakeholder management. Ability to work effectively at all levels within an organization. Strong problem-solving and root cause identification skills. PROSCI certification is highly desirable. Excellent active listening skills. Experience establishing and maintaining active knowledge of the broad and complex EY technology estate. Strong verbal and written skills with the ability to draft effective business-ready communications to senior stakeholders. Problem-solving and root cause identification skills. Demonstrate adaptability having a primary focus but also executing multiple project assignments with varying scope. Formal organizational change management methodologies; experience with agile models and practices. Technical architecture development and instantiation. Consultative questioning, influencing, and critical/innovative thinking skills. Advanced interpersonal and stakeholder management skills. Expertise with reporting and analytics and a strong bias toward data-driven decisions. Experience with content production and planning calendars. Familiarity with gamification, leaderboards, and other engagement tactics.

We are looking for a highly skilled Machine Learning Developer with 2 to 7 years of experience to join our team in Kochi, Chennai, Noida, Bangalore, Pune, Kolkata, and TVM. The ideal candidate will have a strong background in machine learning and software development. ### Roles and Responsibility Develop and implement machine learning models, including regression, classification, and clustering techniques. Conduct exploratory data analysis (EDA) to uncover insights and trends within data sets. Apply dimension reduction techniques to improve model performance and interpretability. Utilize statistical models to design and implement effective business solutions. Evaluate and validate models to ensure robustness and reliability. Collaborate with cross-functional teams to identify business problems and develop solutions. ### Job Requirements Bachelor's degree in Computer Science, Engineering, Information Systems Management, Accounting, Finance, or a related field. Minimum 2 years of experience in machine learning and software development. Strong proficiency in Python and familiarity with cloud platforms such as AWS, Azure, or GCP. Experience with ML Ops tools and practices is a plus. Excellent communication skills and the ability to present complex technical concepts clearly. Strong analytical mindset and systematic approach to solving machine learning challenges.

We are looking for a skilled Senior Consultant with 5 to 12 years of experience to join our Tax Technology practice in Bangalore, India. The ideal candidate will have a strong background in software engineering and information technology. ### Roles and Responsibility Assist project teams in estimating architecture design effort and developing/ reviewing/ approving architecture designs. Serve as a subject matter expert to program/project teams in the plan, design, and delivery of technical solutions. Lead the solution design and development of tax tools and technology solutions. Communicate effectively with senior IT leaders on program strategies and plans, negotiating quality solutions. Collaborate with cross-functional teams to deliver high-quality results. Develop and maintain technical documentation for tax technology projects. ### Job Requirements Bachelor's or Master's degree in Software Engineering, Information Technology, MBA, or MCA. 5-12 years of overall experience in Sap Global Trade Services (GTS). Experience in SAP GTS Customs management, including export and import processes, inward process, transit/presentation, bonded warehouse, electronic filing, and product classification. Hands-on experience with configuration settings in feeder systems like ECC/S4, including document types and master data. Strong understanding of business requirements and ability to design feasible technical solutions that address current needs without impacting future upgrades. Experience with technology tools such as SAP GTS Compliance Management, Sanction party list screening, Embargo, Product Classification, and Legal control (Export, Import).

Job Description We are looking to hire a Cyber Security Engineer with strong analytical skills and a comprehensive understanding of cybersecurity principles. The ideal candidate will have hands-on experience in web application and network security, with the ability to identify vulnerabilities, execute penetration tests, and recommend effective mitigations. The role requires an individual who is detail-oriented, able to work under pressure, and capable of delivering results within tight deadlines. Responsibilities: Conduct web application penetration testing using established methodologies (e.g., OWASP). Perform network penetration testing and identify system-level vulnerabilities. Analyse existing security measures and recommend improvements. Document findings, provide detailed risk assessments, and deliver remediation strategies. Advise on and implement security best practices across applications and infrastructure. Collaborate with development and infrastructure teams to ensure secure design and implementation. Stay current with evolving threats, vulnerabilities, and mitigation techniques. If experienced, conduct mobile application penetration testing (preferred, not mandatory). Requirements: A degree in computer science, IT, systems engineering, or related qualification. Core experience and profound knowledge in application and infrastructure security testing. Strong understanding and hands on experience on application and infrastructure vulnerabilities, automated/manual testing, auditing and remediation techniques Strong understanding of OWASP Threats classification Experience with standard security tools such as Metasploit, SQLMap, Nmap, OWASP ZAP, Burp Suite etc. Experience with network/infrastructure vulnerability assessment tools such as Nessus, Qualys etc. Experience with establishing penetration testing procedures and processes. Proficiency in any one of the scripting languages like Python, C++, Java, Ruby, Node, Go, and/or Power Shell Ability to work under pressure in a fast-paced environment. Strong attention to detail with an analytical mind and outstanding problem-solving skills. Great awareness of cybersecurity trends and hacking techniques. Good to have: Understanding of server and client-side application development. Experience with performing code review, wireless and firewall assessments. Experience in evasion techniques to bypass firewalls and intrusion detection systems. Experience with Mobile Application Penetration testing, APIs etc. Knowledge in Application Architecture Review, Threat Modelling concepts Security Certifications: OSCP, OSEE, OSCE etc.

Job Description Oracle Cloud Infrastructure (OCI) is a strategic growth area for Oracle. It is a comprehensive cloud service offering in the enterprise software industry, spanning Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). OCI is currently building a future-ready Gen2 cloud Data Science service platform. At the core of this platform, lies Cloud AI Cloud Service. What OCI AI Cloud Services are: A set of services on the public cloud, that are powered by ML and AI to meet the Enterprise modernization needs, and that work out of the box. These services and models can be easily specialized for specific customers/domains by demonstrating existing OCI services. Key Points: Enables customers to add AI capabilities to their Apps and Workflows easily via APIs or Containers, Useable without needing to build AI expertise in-house and Covers key gaps Decision Support, NLP, for Public Clouds and Enterprise in NLU, NLP, Vision and Conversational AI. Youre Opportunity: As we innovate to provide a single collaborative ML environment for data-science professionals, we will be extremely happy to have you join us and share the very future of our Machine Learning platform - by building an AI Cloud service. We are addressing exciting challenges at the intersection of artificial intelligence and innovative cloud infrastructure. We are building cloud services in Computer vision for Image/Video and Document Analysis, Decision Support (Anomaly Detection, Time series forecasting, Fraud detection, Content moderation, Risk prevention, predictive analytics), Natural Language Processing (NLP), and, Speech that works out of the box for enterprises. Our product vision includes the ability for enterprises to be able to customize the services for their business and train them to specialize in their data by creating micro models that enhance the global AI models. What Youll Do Develop scalable infrastructure, including microservices and a backend, that automates training, deployment, and optimization of ML model inference. Building a core of Artificial Intelligence and AI services such as Vision, Speech, Language, Decision, and others. Brainstorm and design various POCs using AI Perpetual AI Services for new or existing enterprise problems. Collaborate with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively communicating your needs, understanding theirs, and addressing external and internal shareholder product challenges. Lead research and development efforts to explore new tools, frameworks, and methodologies to improve backend development processes. Experiment with ML models in Python/C++ using machine learning libraries (Pytorch, ONNX, TensorRT, Triton, TensorFlow, Jax), etc. Leverage Cloud technology Oracle Cloud (OCI), AWS, GCP, Azure, or similar technology. Qualifications Masters degree or equivalent experience (preferred) in computer science, Statistics or Mathematics, artificial intelligence, machine learning, Computer vision, operations research, or related technical field. 3+ years for PhD or equivalent experience, 5+ years for Masters, or demonstrated ability designing, implementing, and deploying machine learning models in production environments. Practical experience in design, implementation, and production deployment of distributed systems using microservices architecture and APIs using common frameworks like Spring Boot (Java), etc. Practical experience working in a cloud environment: Oracle Cloud (OCI), AWS, GCP, Azure, and containerization (Docker, Kubernetes). Working knowledge of current techniques, approaches, and inference optimization strategies in machine learning models. Experience with performance tuning, scalability, and load balancing techniques. Expert in at least one high-level language such as Java/C++ (Java preferred). Expert in at least one scripting language such as Python, Javascript, and Shell . Deep understanding of data structures, and algorithms, and excellent problem-solving skills. Experience or willingness to learn and work in Agile and iterative development and DevOps processes. Strong drive to learn and master new technologies and techniques. You enjoy a fast-paced work environment. Additional Preferred Qualifications Experience with Cloud Native Frameworks tools and products is a plus Experience in Computer vision tasks like Image Classification, Object Detection, Segmentation, Text detection & recognition, Information extraction from documents, etc. Having an impressive set of GitHub projects or contributions to open-source technologies is a plus Hands-on experience with horizontally scalable data stores such as Hadoop and other NoSQL technologies like Cassandra is a plus. Our vision is to provide an immersive AI experience on Oracle Cloud. Aggressive as it might sound, our growth journey is fueled by highly energetic, technology-savvy engineers like YOU who are looking to grow with us to meet the demands of building a powerful next-generation platform. Are you ready to do something big? Career Level - IC3

Oracle CX Cloud (Fusion Sales/Service, OFSC, CPQ, VBS, Redwood) - Senior Cloud Consultant Oracle Global Services Center(Oracle GSC) is a fast-growing Cloud based consulting team focused on our customers rapid and successful adoption of CX Cloud Solutions. Our flexible and innovative Optimum Shore approach helps our clients implement, maintain, and integrate their Oracle CX Cloud Applications and Technology environments while reducing overall total cost of ownership. We assemble an optimal team for each client by blending resources from onshore, near shore, and offshore global delivery centers to match the right expertise, to the right solution, for the right cost. To support our rapid growth, we are seeking talented consultants that bring a passion for providing excellent client experience, enabling client success by developing innovative solutions. As an Oracle Senior Cloud Consultant, you will have the opportunity to work within a powerful SaaS/PaaS application platform that transforms the way many Fortune 1000 companies conduct their business, utilizing some of the cutting-edge technologies available. You will work closely with our marquee customers to implement Oracle CX products such as Sales B2B Service Cloud, Field Service Cloud, CPQ, Asset based Service, Subscription Management, Incentive Compensation utilizing technologies such as Visual Builder Studio, Visual Builder Cloud Services, and Oracle Integration Cloud to deliver solutions that will drive their long-term success. We are looking for experienced consulting professionals who understand solutions, business processes, and technology designs within the Oracle CX products such as Sales B2B Service Cloud, Field Service Cloud, CPQ, Asset based Service, Subscription Management, Incentive Compensation, and technologies such as Visual Builder Studio, Visual Builder Cloud Services, and Oracle Integration Cloud. Individuals should demonstrate ability to solve problems, take initiatives, and learn new products. Work within consulting teams that build market leading CX enterprise solutions using best of breed SaaS PaaS platforms. You will be working along with our enterprise architects and project managers, to understand customer goals/requirements, expectations, and challenges, analyze situations/data, for configuring or developing business technical solutions on the Cloud. You will advise project managers other partners from time to time on implementation aspects of the project. You will be responsible for the overall delivery quality on the project by ensuring teams alignment to standard practices and procedures. Build an understanding of and demonstrate Oracle methodologies, tools, and leading practices. This is an exciting opportunity that will test your consulting, critical thinking, leadership, and technical skills with the ability to remain focused and follow-through on plans. You wont be alone; we will provide the tools, raw data, training, coaching and people resources to help you be successful. Career Level - IC3 Responsibilities Provide consistent high quality innovative solutions on CX Cloud engagements by interacting with customers and other partners to arrive at optimal solutions. Analyze and understand client goals, challenges areas of opportunity to align Oracles CX Cloud applications for building optimal functional technical solutions based on Industry Best Practices. Develop and deliver high quality presentations and demonstrations, present and articulate product features, and benefits, and configure and test overall Oracle Cloud solutions that delight the clients. Effectively utilize products such as Oracle CX Sales B2B Service Cloud, Field Service Cloud, CPQ, Asset based Service, Subscription Management, Incentive Compensation along with technologies not limited to VBCS, VBS, Redwood UI, OIC to deliver world class solutions. Refine customer requirements in detail, document and present to the client for approval. Prepare documentation detailing delivered solutions, integration migration strategies, throughout the engagement. Identifies and applies creative and innovative approaches to resolving product implementation and integration challenges. Analyze current systems and data to identify new requirements, recognizing the need for systems enhancements or modifications if necessary. Develop unit test scripts and coordinate with the client to perform the User Acceptance Testing of the system enhancements or custom solutions. Lead and direct the following phases of system life cycle: Gather business requirements through business process workshops, Analyze, design, configure and develop solutions for Oracle above noted applications, Process Playbacks, System Integration Testing and User Acceptance Testing, Go-Live preparation and cut-over support, Post-production support. Adhere to all Oracle Cloud security policies, standards, and procedures in the performance of job responsibilities. Mentor junior consultants in delivery of their customization and ensure the solution approach is in-line with the standard methodologies future product roadmap. Ability to formulate a broader perspective of an issue by recognizing the inter-dependencies and inter-play between elements. Promote knowledge by sharing lessons learned, innovations or new skills with team members. Prepare documentation detailing delivered solutions, integration migration strategies, throughout the engagement. Ideal Candidate should have the following qualifications/skills: Bachelors degree in Engineering or Computer Science (BCA/MCA/BSc Comp) or a technical field from a reputed college/university. Overall, 8+ years of experience relevant to this position. Demonstrable experience as a techno-functional lead on at least two large-scale full-life cycle implementations of Oracle CX Applications, with strong implementation expertise in at least two of the following products is a must. CX Sales B2B Service Cloud Field Service Cloud CPQ Asset Based Service Subscription Management Incentive Compensation Familiarity and exposure to business processes such as Target to Lead, Opportunity to Cash, Request to Resolution. Strong techno-functional skills in proposing, designing optimal solutions, including ownership of the overall solution for customization/extension/integrations on Oracle CX Cloud Projects. Experience developing process flow diagrams, gathering requirements, conducting workshops, design and prototyping, testing, training, defining support procedures, and implementing practical business solutions. Oracle CPQ - Hands on experience in configuring Oracle CPQ Cloud module Pricing, Quotation Configuration, Product Management-Items, BOMs, and System Configuration, Document Engine and Big Machines Language (BML), Utilities Libraries, Validation/Hiding/Constraint rules, Layout editor, Commerce layout, Custom CSS, Designing extensions and interfaces in Oracle CPQ Cloud module. OSC/B2B Cloud - Prior hands-on experience in functional configurations and customization in the following areas - custom objects, groovy scripting, assignment manager, workflows, triggers email alerts, Data Migration, OTBI Analytics etc. Oracle Field Service - Prior hands-on experience in configurations and customization in the following areas Core Application, Profiles, Permissions, Business Rules, Routing Plans, Work Schedules, Smart Collaboration, Action Management, Mobility and Manage Displays, Reports, Data migration, Inbound/Outbound messages. Experience developing Oracle Field Service forms and plug-ins. Experience developing extensions using Redwood UI, VBCS, VBS, JET Good knowledge in web based front end development using HTML, JavaScript, and CSS Experience with React and/or other front-end JavaScript frameworks, would be a plus. Strong hands-on experience with design and development of integrations (point to point and Integration Cloud) using various integration patterns. Experience developing integration, conversion, reporting strategies and architecture based on project environment and requirements. Good understanding of Oracle PaaS components, such as XSLT mapper, Adapters, etc. Implementation of AI features, use cases and development of custom accelerators using Oracle Cloud Infrastructure AI platform. Experience using shell commands, GIT, JIRA, ALM, and other similar tools. Experience developing process flow diagrams, gathering requirements, conducting workshops, designing, and prototyping, testing, training, defining support procedures, and implementing practical business solutions. Experience with web services standards and technology including WSDL, SOAP, REST, JSON, XML, XML-Schema, XSL, WS standards/Security etc. Knowledge of Oracle JET Toolkit, JavaScript APIs Junit would be a big plus. Hands on exposure to DevOps processes Experience with Security Guidelines and Best Practices In addition, successful Candidates will have the following preferred skills/background: Excellent customer facing interpersonal skills with ability to build rapport with all partners. Prior experience working with US based clients/counterparts. Ability to work independently and manage multiple task assignments. Comfortable in constantly evolving and sometimes ambiguous work situations. Keen attention to detail and complex problem-solving abilities from operational and technical perspective High energy drive coupled with strong oral and written communication skills, including presentation skills. Excellent problem solving, critical thinking and analytical skills with the ability to exercise good judgment. A Go-getter who focuses on continuous self-improvement and desire to stay abreast of emerging technologies. Prior experience of implementing other CRM solutions (Oracle E-Business CRM, Oracle Siebel, Salesforce.com, Microsoft Dynamics, etc.) Skilled in delivering clear outcome-based targets and measures by working with urgency in getting the job done. Life at Oracle: We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law. At Oracle, we dont just value differenceswe celebrate them! Were committed to creating a workplace where all kinds of people work together. We believe innovation starts with diversity and inclusion. https://www.oracle.com/corporate/careers/culture/diversity.html

Job Description About Oracle and OHAI Building off our Cloud momentum, Oracle has formed a new organization - Oracle Health & AI. This team will focus on product development and product strategy for Oracle Health, while building out a complete platform supporting modernized, automated healthcare. This is a net new line of business, constructed with an entrepreneurial spirit that promotes an energetic and creative environment. We are unencumbered and will need your contribution to make it a world class engineering center with the focus on excellence. About ODA Within the larger Oracle Health & AI organization, the Oracle Digital Assistant (ODA) is an Assistant platform that enables developers to create their own skills and digital assistants using the Conversational AI and Generative AI capabilities exposed to them in a low-code paradigm. The ODA team has been powering conversational AI experiences for all internal Oracle teams and several external customers for the past 7 years and is evolving rapidly to provide Generative AI solutions for the healthcare and enterprise domains. We operate in an agile environment with a substantial charter, high visibility, and support from senior leadership. About the team We are looking for ML scientists, Data Engineers, Software Development Engineers, Product/Program Managers and ML engineers with a strong background in machine learning to build industry-leading solutions. You will work with huge volumes of data to solve/enable solving real-world problems in the Healthcare domain that are productionized into our Health AI products. Your solutions will be productized as features in the end products. These are new teams that we are putting together in India Center from scratch and the work will span across New Feature Development for CDA Specialty Expansion & Innovation, Language & Region Expansion, Software Development across front-end, back-end, test automation and mobile, ML Engineering, MLOps, LLMOps, Applied ML Sciences and ML Research, with a huge focus on GenAI capabilities. There is a huge emphasis on Large Language Models (LLMs) and Generative AI. Your contributions will be pivotal in delivering our new Generative AI-powered solutions for healthcare and enterprise customers. Qualifications Ph.D. Degree preferred. Experience having led multiple projects leveraging LLMs, GenAI and Prompt Engineering Exposure to real-world MLOps deploying models into production adding features to products Knowledge of working in a cloud environment 5+ Years of Experience Strong understanding of LLMs, GenAI, Prompt Engineering and Copilot Career Level - IC4 Responsibilities Responsibilities Strong expertise in Python programming and one of the Deep Learning frameworks (PyTorch, MXNet, TensorFlow, Keras) and understanding of LLMs, LLMOps and Generative AI - to be able to deliver per specifications; complete assignments without assistance by exercising judgment & appropriate actions Knowledge of Classification, Prediction, Recommender Systems, Time Series Forecasting, Anomaly Detection, Optimization, Graph ML, NLP. Hands-on develop ML models using the above techniques Ability to both use existing libraries (ML, Deep Learning, Re-inforcement Learning) as well as design algorithms ground-up; Able to prepare data pipelines and feature engineering pipelines to build robust models Combine ML Sciences depth, programming expertise and mathematical understanding of techniques to deliver state-of-the-art ML solutions for problem solving across Healthcare domain Drives selection of methods and techniques to drive solutions Demonstrate strong program management to be able to multi-task effectively Be able to mentor & lead junior data scientists effectively Contribute to peer reviews, team learning, meeting product objectives and develop best practices for the organization Strong research record preferred demonstrated, through publications Scientific thinking and ability to invent: Prior experience creating intellectual property through patents desirable Identify and investigate new technologies, prototype and test solutions for product features and design/validate patterns that deliver a compelling experience Take responsibility for technical problem solving to meet product objectives and develop best practices Ability to resolve complex business problems in creative and effective ways Strong experience in LLM Systems and LLMOps. Prior experience with Prompt Engineering and RAG systems

Job Description Security is absolutely fundamental for today's businesses, and yet the news articles remind us almost daily about fragile security technologies and implementations. Enterprises deploy sophisticated tools, scanning software, all with just one goal -- to protect their data. The stakes are high -- the customers are worried about the confidentiality of sensitive data, privacy of their employees, customers, or citizen data, and wondering whether the next attack is going to come from well-heeled external hackers or completely connected insiders. The Autonomous Database Security group at Oracle is responsible for developing database security technologies that provide defense-in-depth for sensitive business data. We are the first in the industry to come up with innovative technologies such as SQL Firewall, Real Application Security, Unified and Conditional Audit, Database Vault, Multi-factor Authorization, Transparent Data Encryption, Fine-Grained Auditing, Multi-level Database security, and data classification, integrating a wide spectrum of security technologies. We pride ourselves in building technologies that are transparent to the applications that use the database, adds negligible overhead, and integrates well with existing cloud infrastructure. Homeland security, cloud hosting, retail, financial, defense and healthcare are among the industries using the offerings produced by our group. We are working in exciting areas of database access controls, database auditing, compliance controls, key management, data privacy, secure configuration and more. Our group is the perfect home for someone passionate about building security solutions that scale, perform, and most importantly keep a few steps ahead of hackers and malicious insiders. More information on our products and solutions, visit Career Level - IC4 Responsibilities As a technical lead in our software engineering division, you will lead in defining and developing security features for Oracle autonomous and cloud databases. With your passion on data security, knowledge in database internals, and quality consciousness mind, you will lead a team of talented and dedicated developers on development and maintenance of security features and products. You are well qualified if you have 9 to 16 years of experience in product development, with couple of years on database internals and on security products Sound knowledge of Computer Science areas and fundamentals Programming experience in C and/or C++ on UNIX platforms B.Tech. / M.Tech. in Computer Science from a premier institute Experience in developing one or more of the major relational databases (Oracle, Sybase, IBM DB2, MS SQL server) is a plus Experience in SQL, PL/SQL and OCI is a plus Knowledge in Oracle Database kernel development preferred for Oracle internal transfers or former Oracle employees

We seek a detail-oriented and organized Librarian to join our team at Aravali Group of Colleges. As a Librarian, you will manage the library's collection, assist patrons, and promote a welcoming and engaging environment for learning and research.

Job Purpose:Provide in-depth analysis and feedback to supervisors and product, policy, collections, and fraud risk teams within the Bank. Build scorecards to assess portfolio behaviors, with a strong emphasis on credit analytics and digital innovation in lending processes.Job Responsibilities: Core Credit Analytics Focus: Analyze loan portfolio behaviors, build and maintain scorecards, and provide actionable insights to enhance decision-making for product, policy, collections, and fraud risk teams. Digital Innovation in Lending: Understand the loan processing environment for various products from an innovation perspective, identify digital opportunities, and implement projects to optimize lending journeys based on opportunities identified by the Team Lead. Project Management: Manage the complete lifecycle of digital projects, including requirement gathering, working with IT/BTG for vendor identification, FPN approval, UAT testing, and other support to ensure successful project go-live. Collaboration with IT: Work closely with IT counterparts to ensure seamless project management and execution of credit analytics and digital initiatives. Fintech Engagement: Explore and engage with Fintechs, evaluate their solutions, and implement those that align with organizational goals, particularly in credit and lending areas. Educational Qualifications: MBA, CA, FRM, or CFA (mandatory). Key Skills: Minimum 1 year of hands-on experience with Python (non-negotiable) for data analysis, modeling, and automation. Strong technical and analytical skills with expertise in credit analytics. Proficient in Excel modeling and financial statement analysis. Excellent written and verbal communication skills. In-depth knowledge of banking products, processes, accounting principles, and regulatory frameworks. Awareness of competition and current trends in the financial industry. Additional Requirements: Ability to work in a fast-paced environment and deliver actionable insights. Strong problem-solving skills and attention to detail. Why Join Us? Opportunity to work on cutting-edge credit analytics projects and drive digital transformation in lending. Collaborate with top-tier teams in a dynamic banking environment. Grow your career with a focus on innovation and strategic impact. How to Apply:Interested candidates with at least 1 year of Python experience and the specified qualifications are encouraged to apply. Please upload your resume and cover letter highlighting your Python experience and credit analytics background.

Position: Senior Instrumentation Designer Experience: 12+ Years Location: Chennai, Hyderabad, Pune, Mumbai Industry: Oil & Gas (Offshore Projects) Software Proficiency: SmartPlant 3D (SP3D), AutoCAD, MicroStation Job Summary: We are seeking an experienced Senior Instrumentation Designer with expertise in SmartPlant 3D (SP3D) to support the detailed design and engineering of offshore oil & gas projects. The ideal candidate will have 12+ years of experience in instrumentation design, with a strong understanding of offshore platforms, FPSOs, and subsea processing systems . Key Responsibilities: Instrumentation Design & Modeling: Develop 3D models of instrumentation systems using SmartPlant 3D (SP3D) in compliance with project specifications and industry standards. Design cable trays, junction boxes, instrument panels, and field instruments layouts for offshore facilities. Ensure proper integration of instrumentation systems with other disciplines (piping, mechanical, and electrical). Preparation of Design Deliverables: Generate instrumentation layout drawings, loop diagrams, wiring diagrams, and hook-up drawings using SP3D. Develop cable routing and tray layouts in coordination with electrical and structural teams. Prepare IO lists, instrument index, and material take-offs (MTOs) for procurement and installation. Coordination & Collaboration: Work closely with engineering teams, project managers, and offshore site personnel to ensure design feasibility and compliance. Collaborate with vendors, contractors, and procurement teams to ensure correct instrumentation specifications and BOM (Bill of Materials) . Participate in model reviews (30%, 60%, 90%) , clash detection, and constructability analysis. Compliance & Standards: Ensure adherence to API, IEC, NEC, ISA, and other international standards for offshore instrumentation. Apply company and client HSE (Health, Safety & Environment) policies in all design activities. Review vendor drawings and provide necessary inputs for design modifications. Site & Offshore Support: Provide technical support during fabrication, construction, and commissioning of offshore projects. Assist in resolving site queries (RFIs), change management, and as-built updates . Qualifications & Skills: Education: Diploma / Bachelor’s Degree in Instrumentation Engineering, Electrical Engineering, or related field . Technical Skills: Proficiency in SmartPlant 3D (SP3D) , AutoCAD, MicroStation, and other instrumentation design tools. Strong knowledge of instrumentation loop diagrams, control systems, DCS/PLC interfaces, and field instruments . Experience in hazardous area classification and offshore safety regulations . Soft Skills: Excellent problem-solving and analytical skills . Strong communication and ability to work in a multidisciplinary team . Ability to handle multiple projects and work under tight deadlines . Preferred Experience: Previous experience in offshore platforms, FPSOs, LNG facilities, or subsea projects . Knowledge of AVEVA Instrumentation, INtools (SPI), or Hexagon tools is an added advantage.

Who you are: You understand the foundations of statistics and machine learning and can work in high performance computing/cloud environments, with experience/knowledge in aspects across statistical analysis, machine learning, model development, data engineering, data visualization, and data interpretation You are self-motivated, and have demonstrated abilities to think independently as a data scientist You structure your data science approach according to the necessary task, while appropriately applying the correct level of model complexity to the problem at hand You have an agile mindset of continuous learning and will focus on integrating enterprise value into team culture You are kind, collaborative, and capable of seeking and giving candid feedback that effectively contributes to a more seamless day-to-day execution of tasks Key Responsibilities: Understand the business requirements and support the manager to translate those to analytical problem statements. Implement the solution steps through SQL/Python, appropriate ML techniques without rigorous handholding. Follow technical requirements (Datasets, business rules, technical architecture) and industry best practices in every task. Collaborate with cross-functional teams to design and implement solutions that meet business requirements. Present the findings to US DS stakeholders in a clear and concise manner and address feedback. Adopt a continuous learning mindset, both technical and functional. Develop deep expertise in therapeutic area, with clear focus on commercial aspects. Minimum Qualifications: Bachelors degree with at least 0-3 years industry experience (experience requirement can be waived off for exceptional candidates) Strong Python/R, SQL, Excel skills Strong foundations of statistics and machine learning Preferred Qualifications: Advanced degree in STEM (MS, MBA, PhD) 1-3 years’ experience in healthcare analytics and consulting Familiarity with Physician and Patient-Level data (e.g., claims, electronic health records) and data from common healthcare data vendors (IQVIA, Optum, Komodo, etc.) Experience in HCP & Patient Level Data analytics (e.g., HCP Segmentation & targeting, Patient Cohorts, knowledge of Lines of Therapy, Persistency, Compliance, etc.) Proficiency in Data Science Concepts, Microsoft Excel and PowerPoint, and familiarity with Dataiku

Dear Candidate, We are looking for a talented Data Scientist to analyze complex datasets, build predictive models, and extract valuable insights that drive business decisions. You will work with machine learning, statistical analysis, and big data technologies to develop scalable solutions. If you have a passion for data-driven decision-making and solving real-world problems, wed love to hear from you! Key Responsibilities: Collect, clean, and preprocess large datasets from multiple sources. Develop and deploy machine learning models for predictive analytics. Perform statistical analysis and hypothesis testing to drive business insights. Work with big data tools (Hadoop, Spark, or Databricks) to process large-scale datasets. Implement and optimize deep learning and AI algorithms where applicable. Collaborate with engineering teams to deploy models into production. Design and maintain data pipelines and ETL processes . Use data visualization tools (Tableau, Power BI, Matplotlib, Seaborn) to present findings. Ensure the scalability, accuracy, and performance of data models. Stay up to date with AI, ML, and data science trends to improve methodologies. Required Skills & Qualifications: Proficiency in Python or R for data analysis and machine learning. Experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn). Strong knowledge of SQL and NoSQL databases (PostgreSQL, MySQL, MongoDB). Hands-on experience with big data technologies (Spark, Hadoop, Databricks). Knowledge of cloud platforms (AWS, GCP, Azure) for data science workflows. Proficiency in data wrangling, feature engineering, and model optimization . Experience with A/B testing, hypothesis testing, and statistical modeling . Familiarity with MLOps, CI/CD for machine learning models . Strong problem-solving and analytical thinking skills. Excellent communication skills to translate data insights into business actions. Soft Skills: Strong problem-solving and analytical skills. Excellent communication skills to work with cross-functional teams. Ability to work independently and as part of a team. Detail-oriented with a focus on delivering high-quality solutions Note: If you are interested, please share your updated resume and suggest the best number & time to connect with you. If your resume is shortlisted, one of the HR from my team will contact you as soon as possible. Srinivasa Reddy Kandi Delivery Manager Integra Technologies

Dear candidate, We found your profile suitable for our current opening, please go through the below JD for better understanding of the role, Job Description : Role : Data Scientist / Technical lead Exp : 5 - 7 years Mode of work : Hybrid Model Work Location : Hyderabad/Bangalore/Noida/Pune/Kolkata Role Overview: We are seeking an experienced Data Scientist to join our team. The ideal candidate should have 5-7 years of experience in data analysis, machine learning, and statistical modeling. You will be responsible for analyzing complex datasets, building predictive models, and delivering insights to support business decisions. Key Responsibilities: Develop and implement machine learning models and algorithms. Analyze large datasets to extract meaningful insights and trends. Collaborate with cross-functional teams to solve business problems using data-driven approaches. Build and optimize data pipelines for efficient data processing. Communicate findings through reports, dashboards, and visualizations. Requirements: 5-7 years of experience in data science or a related field. Strong proficiency in Python, SQL, and data visualization tools. Good experience on classification , regression Models. Experience with machine learning frameworks (e.g., Scikit-learn, XGBoost, TensorFlow). Solid understanding of statistical analysis, predictive modeling, and data mining techniques. Hands-on experience with data wrangling and feature engineering. Excellent problem-solving and communication skills. Preferred Qualifications: Experience with cloud platforms (AWS, GCP, Azure). Knowledge of big data technologies (Spark, Hadoop). Experience in time series forecasting, anomaly detection, or recommendation systems Please check below link for organisation details, https://www.tavant.com/ If interested , please drop your resume to dasari.gowri@tavant.com Regards Dasari Krishna Gowri Associate Manager - HR www.tavant.com

Job description Role & responsibilities Design and develop AI architectures that support high-performance, scalable AI and machine learning systems. Work with stakeholders to identify AI opportunities and translate business requirements into AI solutions. Lead the research and development of AI models, including natural language processing (NLP), computer vision, and deep learning techniques. Collaborate with data scientists, data engineers, and software engineers to develop, train, and deploy AI models. Ensure the efficient deployment of AI systems in production environments, ensuring robustness and scalability. Evaluate and recommend AI tools, frameworks, and best practices for effective AI development. Keep up to date with the latest advancements in AI and machine learning technologies and apply them to improve AI architecture. Conduct code reviews, troubleshoot, and optimize AI models and algorithms. Ensure compliance with data security, privacy, and ethical AI standards. Mentor and guide junior engineers and AI developers in best practices for AI model development. Hands-on experience with AI/ML frameworks and libraries such as TensorFlow, Keras, PyTorch, and Scikit-learn. Preferred candidate profile Proven experience as an AI Architect, AI/ML Engineer, or a similar role. Team handling experience if having 5 years or plus experience. Excellent problem-solving skills with the ability to handle complex AI challenges. Strong expertise in machine learning algorithms, neural networks, and deep learning techniques. Strong communication skills to effectively interact with technical and non-technical stakeholders.

So, what’s the role all about? We are looking for a Senior Risk & Fraud Data Analyst to play a pivotal role in safeguarding financial institutions from fraudulent activities. This role focuses on leveraging advanced analytics and Machine learning know-how to build and optimize fraud detection classification models and strategies and support our clients and banking partners in fraud mitigation. As a key member of our team, you’ll have the opportunity to work at the intersection of data-driven research, risk management, business strategy and client relations, contributing to the safety and scalability of our platform. How will you make an impact? Analyze transaction data and customer behavior to identify patterns indicative of fraudulent activity. Develop and deploy data-driven fraud prevention rules, logic, and models to mitigate risk effectively. Continuously monitor and refine existing fraud detection models based on emerging trends and feedback. Design and implement automation solutions to enhance fraud monitoring processes and support scalability. Communicate with clients and partner banks to align on fraud prevention strategies and share actionable insights. Work with product and dev and other teams in Unit to lead and deliver strategic and complex projects in the Fraud prevention domain. Have you got what it take: At least 5 years of experience in data analysis, preferably in the risk or fraud domain within the fintech industry. High proficiency in SQL – Must. Experienced in writing complex queries and analyzing large datasets. High proficiency in Python for data analysis – Must. Skilled in using Python libraries such as Pandas for data analysis and research, automation, and developing fraud detection logic. High proficiency in English and Strong written and verbal communication skills to effectively interact with clients, partners, and internal teams. Advantage: Understanding of the US financial systems – Familiarity with banking, payments, or e-commerce systems and processes. Advantage: Experience with financial fraud prevention strategies. Advantage: Ability to work independently, take initiative, and drive projects from ideation to completion. Great team player with desire to mentor junior analysts and Data scientists. What’s in it for you? Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NICEr! Enjoy NICE-FLEX! At NICE, we work according to the NICE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere. Requisition ID: 6464 Reporting into: Manager Role Type: Individual Contributor

PLEASE READ THE JD BEFORE APPLYING TO THIS POSITION. All applications will be considered. CodeGrads is a recently launched EdTech startup seeking a passionate GenAI & ML Trainer to join our team. We offer university-affiliated certification and Diploma courses to upskill in AIML and GenAI for beginners and professionals. Kindly apply for this post if you are interested in a Trainer's position. Job Type : Full time, Permanent Designation : Data Scientist Role : GenAI & AIML Trainer *This is not a AIML Engineer's position. Key Responsibilities: Collate, develop and enhance training materials, including presentations, projects, assignments, and assessments. Build the curriculum of each module and plan live training sessions. Deliver live training sessions on Data Analytics, ML, DL, NLP, GenAI, and AI tools/libraries . Collaborate with the digital media team to create AIML video content for Youtube and self-paced learning courses. Stay updated on emerging AIML technologies and integrate them into the curriculum. Evaluate learners' progress through assessments, quizzes, and project reviews. Provide one-on-one mentorship to help students overcome learning challenges. Conduct webinars, workshops, and promotional activities to engage potential learners. Key Requirements: Excellent Communication Skills is paramount for this role(AIML Trainer). You'll be ideal if you can speak and interact fluently during online presentations. Certifications in GenAI , AIML, Data Science, or a related field. Experience in GenAI, AIML development and training. Proficiency in Python, GenAI & AIML frameworks (various Python libraries). Strong understanding of ML algorithms, deep learning, model optimization, and evaluation metrics, data visualization and analytics, Pandas etc. Practical experience in basic GenAI fields like RAG, LLMs, DataFrame Agents , Prompt Templates and Prompting techniques . Good Communication skills with the ability to simplify complex concepts. Passion for teaching and mentoring learners. If you're excited about shaping the future of AI education, we'd love to hear from you! Preferred candidate profile The ideal candidate should be well-spoken , fluent in English with good presentation skills and have expertise in GenAI, Machine Learning, Deep Learning, Data Analytics , along with a strong base in these concepts in order to be able to pass on the teachings to students and mentor them as their guide. Perks and benefits Work From Home Referral Bonus Prformance Bonus Interview Format: Round 1: Telephonic 10-15m (Phone) Round 2: Technical Screening 30-45m (Google Meet) Round 3: HR 15-30m (Google Meet)

Responsibilities : As a Business Analyst would be responsible for working closely with the Business Teams and helping them in making data driven decisions. This would require cross-communication between the Business Team, Product Team & Data Engineering as well. Apart from solving the business problem at hand, a Business Analyst would also be responsible for sharing insights and learning basis the data exploration/mining and convert these into clear action points and ensure that the same are being worked upon. The Business Analyst would also be responsible to mentor the junior analysts within the team Getting business requirements from the respective Business Teams, identifying the underlying business case and building a generalized solution Extracting & Exploring the data from database and other sources that may exist, cleaning the data for any issues/missing values also needs to be owned upon Converting the cleaned data into actionable insights and sharing the same with relevant Audience Automation of data problems/solutions that occur recursively Flagging to Data Engineering in case of data sanity issues are to be seen Ensure that the action insights shared with the business teams are worked upon Ensure new business requirements are thoroughly vetted and signed off Knowledge sharing within the team and outside if required What are we looking for ? 2 to 4 years of work experience in the relevant field, preferably in a consumer facing company Proficient in SQL and Python, ability to handle complex/inner queries Hands on Knowledge of Python programming and Python for Data Analytics Hands on Knowledge on Machine Learning and Data Science Algorithms (Regression, Classification, Forecasting, Clustering etc.) Hands-on with Google Sheets / Microsoft Excel (basic data cleaning, pivoting and data exploration) Must have worked on any one Data Visualization Tool (Tableau, Power BI, Microstrategy, Metabase etc) Basic automation skills using Google Sheets or Microsoft Excel are expected Communication skills to get the business requirements and give out the final insights Data Inquisitiveness Prior experience of mentoring / onboarding other junior analysts is a plus.

Designation : Data Analyst Location : Mumbai & Bangalore Responsibilities : Data Analyst would be responsible for working closely with the Business Teams and helping them in making data driven decisions. This would require cross-communication between the Business Team, Product Team & Data Engineering as well. Apart from solving the business problem at hand, a Data Analyst would also be responsible for creating reports and dashboards, automating repeated tasks, sharing insights and learning basis the data exploration/mining Getting business requirements from the respective Business Teams, identifying the underlying business case and building a generalized solution Extracting & Exploring the data from database and other sources that may exist, cleaning the data for any issues/missing values also needs to be owned upon Converting the cleaned data into actionable insights and sharing the same with relevant Audience Automation of data problems/solutions that occur recursively Flagging to Data Engineering in case of data sanity issues are to be seen Ensure that the action insights shared with the business teams are worked upon Ensure new business requirements are thoroughly vetted and signed off Knowledge sharing within the team and outside if required What are we looking for ? 0 to 1 years of work experience in the relevant field, preferably in a consumer facing company Proficient in SQL and/or HQ, ability to handle complex/inner queries Having basic knowledge on Python. Hands-on with Google Sheets / Microsoft Excel (basic data cleaning, pivoting and data exploration) Must have worked on any one Data Visualization Tool (Tableau, Power BI, Microstrategy, Metabase etc) Basic automation skills using Google Sheets or Microsoft Excel are expected Working knowledge on handling data in R/Python is a plus Communication skills to get the business requirements and give out the final insights Data Inquisitiveness

Preferred Experience Knowledge of Maxsurf, Moses, Optimoor, Orcaflex, Gmoor, LRShipright, Rhino 3D, Staad Pro or any one will be an added advantage. Basic knowledge on engineering calculation, stability calculation. Knowledge of classification societies will be an added advantage. Rule based scantling calculation Minimum knowledge of Autocad for preparation of analysis model Good communication skill in English Roles & Responsibilities: Assist project lead with basic calculation with minimum supervision. Coordinating with other disciplines whenever required. Tool knowledge preferred but not mandatory: Maxsurf, Moses, Optimoor, Orcaflex, Gmoor, LRShipright, Rhino 3D, Staad Pro

Data Scientist: 4 -7 years of Relevant Data Science Experience, with demonstrated proficiency and hands-on experience navigating data science complexities. Good communication skills, both verbal and written. Exhibit a fervour for crafting modular, scalable, and bug-free Python code. Comfortable in SQL with additional proficiency in office tools like Excel & PowerPoint. Experience in production engineering best practices (e.g. Git versioning, Docker). Excitement to collaborate with diverse stakeholders across the organisation. In-depth understanding of various data science approaches, machine learning algorithms, and statistical methods. Hunger to learn new technologies and embrace the change. Proficiency in foundational concepts and algorithms in machine learning, encompassing regression and classification techniques, and a keen awareness of their assumptions, strengths, and limitations. Must-Have Skills: Regression/Classification/Optimization/ Python Proficiency in these key skills is crucial to thriving in this role. Kindly share your updated resume to this mail Id hari.chandana@tigeranalytics.com