341 Nlp Jobs - Page 14

Job Description Lead and Manage DevOps Teams: Oversee the design, development, and implementation of CI/CD pipelines, infrastructure automation, and cloud management across OCI and other cloud platforms. Cloud Infrastructure & Data Pipelines: Manage multi-cloud environments with a focus on OCI and other cloud providers such as AWS, Azure, and GCP. Design and manage data pipelines that support large-scale data processing and analytics across cloud services. Cloud-Based Integration & APIs: Implement and manage API-based integrations between cloud services, ensuring seamless communication and data flow. Leverage tools like OCI API Gateway for secure and scalable API management. CI/CD Pipelines: Design and implement robust CI/CD processes using Jenkins, Git, Bitbucket, and other tools. Integrate SonarQube for static code analysis and maintain high code quality. Infrastructure as Code (IaC): Use Terraform and OCI Resource Manager to automate infrastructure provisioning, management, and scaling. Test Automation: Implement and manage test automation frameworks like Selenium to streamline testing in deployment pipelines. Security & Code Quality: Implement security best practices and ensure OCI security features. Gen AI & MLOps Integration: Support the integration of Generative AI technologies, NLP, and MLOps tools to facilitate the deployment and automation of AI models. Monitoring, Logging & Observability: Implement comprehensive observability strategies using OCI Monitoring and other tools, ensuring visibility into the performance, health, and reliability of cloud systems. Utilize OCI Management Platform and third-party solutions for centralized logging, alerting, and metrics aggregation to monitor system behavior, detect anomalies, and respond to incidents in real time. Collaboration & Stakeholder Management: Collaborate with development, QA, operations, and data engineering teams to understand their needs and deliver effective solutions. Work closely with leadership to define and drive the DevOps strategy. Innovation: Explore and implement cutting-edge tools and practices, especially around cloud-native development, automation, data processing, and advanced technology integrations like Generative AI. Career Level - M3 Responsibilities Experience with containerization technologies (Docker) and orchestration tools (Kubernetes).Proven Experience in DevOps Management with multi-cloud environments, especially OCI.Strong hands-on experience with:CI/CD Tools: Jenkins, Git, Bitbucket, etc.Code Quality Tools: SonarQube or similar for static code analysis.Infrastructure as Code (IaC): Terraform, OCI Resource Manager, Ansible (or similar).Automation & Scripting: Python, Shell scripting, etc.Testing Frameworks: Experience with monitoring and logging tools such as Prometheus, Grafana, ELK stack or similar.Data Pipeline Management: Hands-on experience in designing, implementing, and managing data pipelines across cloud platforms.Cloud-Based Integration & APIs: Experience integrating cloud services using APIs and tools like OCI API Gateway for managing secure and scalable API communications.OCI Tooling Expertise: Experience with OCI Resource Manager, Oracle Kubernetes Engine (OKE), OCI Functions, and OCI Monitoring.Monitoring, Logging & Observability: Strong understanding of observability tools and platforms, including experience with OCI Monitoring, OCI Management Platform, centralized logging, and metrics collection tools like Prometheus, Grafana, or similar.Cloud Expertise: In-depth knowledge of OCI, with familiarity in AWS, Azure, or GCP.Strong experience with configuration management and automation tools such as Ansible, Chef puppet.Experience with Generative AI, NLP, and MLOps tools for model development and deployment.Strong understanding of security, compliance, and monitoring in cloud environments.Excellent leadership, communication, and project management skills.

Job Description Job Title: Design, develop, deploy, and operate distributed, scalable, multi-tenant Cloud Services on Oracle Cloud Infrastructure (OCI) for Oracle Health, integrating with FHIR-based healthcare systems and leveraging large language models (LLMs) for advanced data processing and decision support. Brief Summary: Oracle Integration Cloud provides a comprehensive no-code modern platform for designing, deploying, and running enterprise-scale integrations, spanning SaaS and on-premises applications as well as heterogeneous information systems. With the integration of FHIR standards for healthcare data and leveraging the platforms AI/ML capabilities, including large language models (LLMs), pre-built accelerators, and process automation, Oracle dramatically simplifies healthcare application integration, particularly for Oracle Health. Team and Product Description: Oracle Integration Cloud (OIC) is a cloud-managed service running natively on Oracle Cloud Infrastructure (OCI). The Connectivity component is a critical part of OIC, providing integration with a wide array of data sources, including healthcare data systems that follow the FHIR (Fast Healthcare Interoperability Resources) standard. This component enables seamless connectivity across Oracle and non-Oracle SaaS and enterprise applications, databases, messaging systems, and generic protocols like REST, SOAP, OData, FTP, GraphQL, and JDBC, whether in public, private, or on-premises networks.In this role, you will work closely with the healthcare systems of Oracle Health, utilizing FHIR mappings and advanced AI/LLM capabilities to ensure smooth integration of clinical data with enterprise applications, supporting decision-making and predictive analytics in healthcare.The OIC Connectivity development team is responsible for gathering requirements, system design, architecture, implementation, and support for cloud-native integrations, including FHIR-based applications and LLM-driven services. Our team builds the future of cloud integration with a focus on healthcare interoperability, solving data and application integration challenges across various sectors, including healthcare. Description of the Role: Design and develop cloud-native enterprise software products and services, focusing on distributed, scalable, fault-tolerant, and multi-tenant cloud services for healthcare applications using FHIR and LLM-based models for natural language processing (NLP). Build FHIR-compliant integrations with Oracle Healths healthcare data systems, ensuring adherence to FHIR standards in data exchange, patient record management, and clinical workflows, while integrating LLMs to provide contextual insights and automated processing of clinical data. Develop healthcare cloud applications following microservices and twelve-factor application principles, optimizing for data integration with FHIR-based services and LLMs for advanced text-based analysis and healthcare recommendations. Focus on API-first design using OpenAPI, Swagger, and test-driven development, ensuring integration with FHIR-based healthcare data through RESTful APIs, and leveraging LLMs for real-time patient data analytics. Code in Java, leveraging RESTful APIs, microservices, Docker, and Kubernetes, with integration into healthcare data systems at Oracle Health that use FHIR, and incorporating LLMs for scalable NLP tasks, such as summarizing patient information or automating documentation. Work with prominent healthcare APIs and other systems like AWS, Microsoft Azure, GCP, and Salesforce to facilitate healthcare data exchange, with programming languages like Java, Go, Python, JavaScript, and NodeJS, integrating AI-driven solutions and LLMs for intelligent data extraction. Implement message interchange formats such as JSON/JSON Schema, XML, Avro, and FHIR resources, while integrating LLM-based AI models to enhance decision-making, predictive analytics, and patient engagement. Collaborate with JavaScript frameworks like OJET, ReactJS, and AngularJS to create dynamic, healthcare-driven user interfaces, integrating with FHIR-based patient data systems and enhancing user experience with LLM-driven insights and contextual support. Provide technical evaluations, optimize applications, and implement best practices in developing cloud-native healthcare applications with FHIR and LLM capabilities for Oracle Health. Create reusable solutions that can accelerate the creation of healthcare applications using FHIR and LLMs, streamlining the integration with EHR and clinical systems, and delivering smarter healthcare insights. Preferred Qualifications: B.E./B.Tech/M.S./M.Tech in Computer Science. 3+ years of experience in cloud service development. Experience with LLMs, natural language processing (NLP), and integrating AI models into enterprise applications. Knowledge of healthcare standards like FHIR and experience in integrating healthcare data across enterprise applications would be beneficial. Strong ability to innovate and excel in a fast-paced environment, especially in the healthcare, AI, and cloud integration space.In this role, youll be contributing to healthcare innovation at Oracle Health, focusing on integrating critical clinical data using FHIR, while leveraging LLM-based AI solutions and the power of Oracle Cloud Infrastructure to drive scalable and reliable healthcare solutions. Career Level - IC3 Responsibilities Key Responsibilities: Design and Development: Create and implement scalable, multi-tenant cloud services on Oracle Cloud Infrastructure (OCI) tailored for Oracle Health. Integration: Develop and integrate healthcare systems using FHIR standards to ensure smooth data exchange in clinical workflows. Cloud-Native Applications: Build cloud-native applications and ensure compliance with FHIR standards for healthcare integrations. Decision-Making and Analytics: Leverage large language models (LLMs) and AI-driven solutions to enhance decision-making processes, predictive analytics, and automation in healthcare. API Development: Design and develop RESTful APIs to facilitate seamless integration and interaction with various healthcare data formats. Microservices Architecture: Implement and maintain a robust microservices architecture to support scalable and efficient cloud services. Collaborative Efforts: Work closely with cross-functional teams to create reusable, FHIR-based solutions focusing on healthcare interoperability and AI integration. Operational Excellence: Monitor, operate, and maintain cloud services to ensure optimal performance, reliability, and scalability. Compliance and Standards: Ensure all cloud services and integrations comply with industry standards and regulations, particularly in healthcare.

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

OAS Developer About Oracle FSGIU - Finergy: The Finergy division within Oracle FSGIU is dedicated to the Banking, Financial Services, and Insurance (BFSI) sector. We offer deep industry knowledge and expertise to address the complex financial needs of our clients. With proven methodologies that accelerate deployment and personalization tools that create loyal customers, Finergy has established itself as a leading provider of end-to-end banking solutions. Our single platform for a wide range of banking services enhances operational efficiency, and our expert consulting services ensure technology aligns with our clients' business goals. Mandatory Skills: 7+ years of experience in OAS Strong expertise in Oracle Analytics Server (OAS) or Oracle Analytics Cloud (OAC) Proficiency in OBIEE (Oracle Business Intelligence Enterprise Edition) Experience in developing interactive dashboards, reports, and data visualizations. Strong understanding of building RPD (Repository Development) - Physical, Business Model, and Presentation layers. Expertise in data modeling, performance tuning, and metadata management. Experience in working with Oracle SQL, PL/SQL, and database optimization techniques. Hands-on experience in Data Blending, and Data Preparation Knowledge of Security and Access Control (Row-Level Security, Object-Level Security) Experience integrating OAS/OAC with various data sources such as Oracle databases, cloud data sources, and APIs. Proficiency in BI Publisher for developing pixel-perfect reports. Preferable to have experience in Banking and Financial Services Industry. Job Responsibilities Design, develop, and implement Oracle Analytics dashboards, reports, and data visualizations Develop and maintain the RPD model, ensuring efficient query performance and scalability Optimize query performance by applying best practices in data modeling and report development Work closely with business stakeholders to gather and analyze reporting requirements Implement security configurations (object-level, row-level, and role-based security) Integrate OAS/OAC with multiple data sources and ensure seamless data flow Develop and enhance data preparation, transformation, and analytics workflows Support troubleshooting and performance tuning of OAS/OAC reports and dashboards Ensure adherence to best practices and industry standards in OAS/OAC development Provide technical documentation and user training on OAS/OAC solutions Career Level - IC2 Responsibilities Standard assignments are accomplished without assistance by exercising independent judgment, within defined policies and processes, to deliver functional and technical solutions on moderately complex customer engagements.

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

SENIOR OPTIMIZATION ENGINEER Hyderabad Role Senior Optimization Engineer Contract type Permanent About the role As a Senior Optimization Engineer you provide technical expertise in the area of numerical optimization of thermo-fluid systems which are core to the Company's business this includes trade-off and optimize energy efficiency, production cost and operating economy. You engage with global product teams to solicit business needs and convert those into computational decision-making workflows, methods and tools to radically impact how company's products are designed, deployed and operated. Key targets include improving engineering effectiveness as well as developing disruptive, innovative methods for model-based design and operation of company's systems. You also take active part in product development to support design engineers in adopting and using new methods and tools. You also work closely with other teams in Systems, Controls, ML/AI COE, including teams responsible for model development (to drive the development of optimization-friendly thermo-fluid models) and controls engineering (to promote the use of computational optimization strategies (MPC, RTO) as needed). We are offering you We are committed to offering competitive benefits programs for all of our employees and enhancing our programs when necessary. A dynamic and international work environment in a company with high technology products. A strong growth strategy and people who are passionate about what they do. Requirements Education MEng or PhD in a relevant Engineering discipline (e.g., applied mathematics, mechanical or chemical engineering) with 5+ years of experience. Skills and qualifications Proven ability to capture engineering design and operation problems as mathematical programming problems (NLPs), including attention to reliable convergence of such problems. Proficient with the mathematical theory (applied mathematics, numerical analysis and functional analysis), algorithmic foundations (notably existence and convergence proofs), and methods/tools for numerical optimization (SQP, interior point method, etc.) of large-scale systems. Experience from using common algorithms/solvers for large-scale gradient-based non-linear programs, e.g., IPOPT, CONOPT, KNITRO, and WORHP, including their respective applicability to different types of problems. Experience from formulating and solving discrete optimization problems and using common algorithms, including CPLEX and Gurobi. Familiarity with physics-based modeling principles and best practices of thermo-fluid systems, such as vapor compression cycles or power plants. Familiarity and experience with development of computational platforms and tools in Python or equivalent. Familiarity with using HPC and cloud-based platforms for computation at scale. Demonstrated ability to work as part of a multidisciplinary team and an entrepreneurial attitude towards technological innovation in a global environment. Self-starter who is well-organized in an international team environment, with proven communication skills. Responsibilities Deployment. Support that methods and tools developed in the group impact the company's business through engagement in global product projects, including capture and formulation of computational problems arising in such projects. Methods, tools and algorithms. Ensure that appropriate computational methods, tools and algorithms for large-scale numerical optimization are based on sound mathematical foundations and are deployed to match the needs of the company's business, including contributing to the architecture, development, testing and documentation of the methods and tools developed in the group. Modeling for optimization. Support development of mathematical models for thermo-fluid systems are built based on principles and best practices that secure reliable application of numerical optimization algorithms. Talent. Support development and training of staff within company's product teams and within the Computational Engineering group; contribute to talent pipeline by supervising student internships and theses.

Role & responsibilities Please Note - This is not a walk in interview only shortlisted candidates will be called. Your key responsibilities Proven ability to design, build, and deploy end-to-end AI/ML systems in production. Expertise in data science , including statistical analysis, experimentation, and data storytelling. Experienced in working with large-scale, real-world datasets for model training and analysis. Comfortable navigating urgency, ambiguity, and fast-changing priorities . Skilled at solving complex ML problems independently , from idea to implementation. Strong leadership experience building and guiding high-performing AI teams . Hands-on with deep learning, NLP, LLMs , and classical ML techniques. Fluent in model experimentation, tuning, optimisation , and evaluation at scale. Solid software engineering background and comfort working with data and full-stack teams . Experience with cloud platforms (GCP, AWS, Azure) and production-grade ML pipelines. Bias for action willing to jump into code, data, or ops to ship impactful AI products . Your skills and experience PhD in Computer Science, Data Science, Machine Learning, AI, or a related field. Strong programming skills in Python (preferred), with experience in Java, Scala, or Go a plus. Deep expertise with ML frameworks like TensorFlow, PyTorch, Scikit-learn. Experience with large-scale datasets , distributed data processing (e.g. Spark, Beam, Airflow). Solid foundation in data science : statistical modeling, A/B testing, time series, and experimentation. Proficient in NLP, deep learning , and working with transformer-based LLMs . Experience with MLOps practices — CI/CD, model serving, monitoring, and lifecycle management. Hands-on with cloud platforms (GCP, AWS, Azure) and tools like Vertex AI, SageMaker, or Databricks. Strong grasp of API design , system integration, and delivering AI features in full-stack products. Comfortable working with SQL/NoSQL , and data warehouses like BigQuery or Snowflake. Familiar with ethical AI, model explainability , and secure, privacy-aware AI development

Significant experience in Python programming, machine learning, deep learning, generative AI and hands-on in latest Gen AI models. Deep understanding of OCR technologies will be highly advantageous. Familiarity with AWS cloud services is recommended.

Job Title: Senior AI/ML Architect Location: Chennai, India Work Mode: Hybrid Job Description: We are seeking an experienced Senior AI/ML Architect to lead the design and implementation of advanced AI and Machine Learning solutions. The ideal candidate will have a strong background in AI/ML technologies, with a proven track record of delivering scalable and efficient solutions in complex environments. Key Responsibilities: Solution Design and Development: Architect and develop end-to-end AI solutions, ensuring they meet business requirements and are scalable, efficient, and maintainable. Stakeholder Collaboration: Work closely with business and IT stakeholders to understand objectives and translate them into AI/ML solutions. Implementation Oversight: Oversee the implementation of AI models and algorithms, ensuring best practices are followed throughout the development lifecycle. Research and Innovation: Stay abreast of the latest advancements in AI and Machine Learning to identify and implement innovative solutions that provide a competitive edge. Team Leadership: Lead and mentor a team of data scientists and engineers, fostering a culture of continuous learning and improvement. Qualifications: Educational Background: Bachelor's or Master's degree in Computer Science, Data Science, or a related field. An MBA is a plus. Experience: 15-20 years of overall IT experience, with over 10 years in AI/ML roles. Technical Proficiency: Expertise in AI/ML frameworks and libraries such as TensorFlow, PyTorch, and scikit-learn. Programming Skills: Proficiency in programming languages like Python and R. Cloud Platforms: Experience with cloud-based AI/ML services and platforms. Problem-Solving: Strong analytical and problem-solving skills, with the ability to translate business challenges into AI solutions. Communication: Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders. Leadership: Proven experience in leading and mentoring technical teams. Preferred Qualifications: Experience with Generative AI and Large Language Models (LLMs). Familiarity with MLOps practices and tools. Knowledge of data governance and ethical considerations in AI. This role offers an exciting opportunity to work on cutting-edge AI/ML projects, driving innovation and delivering impactful solutions within our organization.

This role is for one of the Weekday's clients Salary range: Rs 5000000 - Rs 7000000 (ie INR 50-70 LPA) Min Experience: 10 years Location: Bengaluru JobType: full-time We are seeking an experienced and strategic product leader to drive the vision, development, and execution of data platforms and AI-powered products. This role requires a deep understanding of data architecture, machine learning integration, and product strategy, coupled with strong leadership and cross-functional collaboration skills. Requirements Key Responsibilities: Define and execute the strategic roadmap for data platforms, aligning product development with business objectives and long-term goals. Set clear OKRs (Objectives and Key Results) for product initiatives and ensure alignment across engineering, data science, analytics, and platform teams. Establish and uphold rigorous standards for project planning, execution, and documentation throughout the product lifecycle. Lead the architecture and implementation of scalable data infrastructure, including real-time analytics platforms, data lakes, and robust data pipelines. Collaborate with data science, AI/ML, and engineering teams to seamlessly integrate predictive models and machine learning solutions into data products. Drive Agile execution to deliver projects on time, within scope and budget, while maintaining high standards of quality and security. Oversee and ensure comprehensive documentation of technical workflows, architectural decisions, and product specifications. Implement and manage robust data governance policies, ensuring compliance with global regulations such as GDPR and CCPA. Define and track key performance indicators (KPIs) to measure the effectiveness and impact of data products, and iterate for continuous improvement. Mentor and guide product managers and technical teams, fostering a culture of innovation, ownership, and operational excellence. Qualifications: Bachelors degree in Engineering (BTech) and/or MBA from a reputed institution (IITs, NITs, IIMs, ISBs, or equivalent). 10+ years of product management experience, with significant exposure to building and scaling data platforms and advanced analytics solutions. Proven success in developing and executing product strategies and OKRs in cross-functional, high-growth environments. Strong technical knowledge of cloud platforms (e.g., AWS, Azure) and data technologies such as Hadoop, Spark, Kafka. Deep expertise in data architectures, including data lakes, data warehouses, SQL/NoSQL databases, and real-time streaming pipelines. Experience integrating AI/ML models into products and leading business intelligence (BI) initiatives using tools like Tableau or Power BI. Demonstrated ability to lead complex programs across multiple teams with strong project management methodologies (Agile/Scrum). Sound understanding of data governance frameworks and regulatory compliance, including GDPR and CCPA. Exceptional leadership, communication, and stakeholder management skills with the ability to drive alignment between business and technical teams. Key Skills: Product Management | Data Platforms | AI/ML Integration | Data Science | Cloud Technologies | Data Governance | BI & Analytics | Agile Project Management | Team Leadership | NLP

Hello Everyone, Optum is hiring AI ML Data Scientists at Hyderabad Description - External Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. Primary Skills: Python, NLP, LLMs, APIs Experience: 7 - 11 yrs Notice Period: Immediate to 45 days Location: Hyderabad Primary Responsibilities: Lead the technology as a senior member of the software engineer team, as part of an Agile scrum team assigned to work on the project Designs, codes, tests, debug, and documents software, and enhance existing components to ensure that software meets business needs Contribute to the design and architecture to enable secure, scalable, and maintainable software and should be able to clearly articulate the implications of design/architectural decisions, issues and plans to technology leadership Provide hands-on leadership, coaching, mentoring, and software engineering best practices to junior software engineers Develop reusable patterns and encourage innovation that will enable team velocity Collaborate on the design with other team members and product owners, both inside and outside the scrum team Estimate engineering work effort for engineering team and effectively identify and prioritize the high impact tasks Conduct design and code reviews to ensure code developed meets coding best practices guidelines, unit testing, security, and scalability and maintainability guidelines Drive a quality mindset within the team Required Qualifications: Graduate degree or equivalent experience 5+ years of experience in Python using common data science libraries such as scikit-learn and Databricks 3+ years of experience applying NLP (transformers, GPT, etc.) in a production setting using large amounts of data 2+ years of experience applying LLMs (RAG, vector DB, embeddings) to solve real world problems Experience applying data science techniques in a commercial enterprise, including supervised, unsupervised learning, NLP, time-series forecasting and other statistical analyses Experience building APIs for the models Proven solid written & verbal communication skills; including the ability to present detailed analyses to a broad audience Proven organized self-starter, with drive and commitment; able to work with little supervision Proven solid analytical, quantitative, problem-solving, and critical thinking skills Interested can share their updated CV at mohammad_ayub@optum.com Thanks and Regards, Arshad Ayub - Talent Scout Optum mohammad_ayub@optum.com

Minimum Education Required Minimum Experience Required Should have acquired ? Bachelors Degree in Technology /Engineering or Masters in Computer Applications (MCA) or Master of Science in Computer Science from a reputed institute. Masters in Technology/Engineering preferable. Following are the skill set required for team lead -Emerging technologies. Technical Skills: Programming skills: Proficient in Python with libraries like TensorFlow, PyTorch, Scikit-learn. Understanding of Machine learning algorithms and neural networks. Working with computer vision models and large language models (NLP). Data Engineering: Knowledge of data cleaning, pre-processing, feature engineering, and data pipelines. Cloud Computing: Familiarity with cloud platforms like AWS, Azure, or GCP for deploying AI models. Leadership Skills , Problem solving & learning skills: Good communication and listening skills. Team building, defining project goals, prioritizing tasks, guiding team members, sharing knowledge and best practices. Identifying potential issues in AI models, evaluating data quality, and troubleshooting technical challenges. Keeping pace with rapid advancements in the AI field, actively researching new techniques and tools.

Key Responsibilities : Design, develop, and deploy machine learning models and AI solutions that address complex business challenges, particularly within the AEC domain. Build scalable, production-grade AI/ML pipelines, including data preprocessing, feature engineering, model training, validation, deployment, and monitoring. Collaborate with Data Engineers, Data Scientists, and other stakeholders to design and implement end-to-end AI/ML solutions. Ensure that deployed models are reliable, maintainable, and scalable while optimizing their performance in production environments. Develop APIs or microservices for integrating AI/ML models into business solutions. Optimize AI/ML workflows by implementing MLOps practices, including CI/CD pipelines, model retraining, and version control. Apply state-of-the-art algorithms and techniques such as deep learning, NLP, computer vision, and time-series analysis for domain-specific use cases. Maintain adherence to data privacy, security, and ethical AI standards throughout the lifecycle of AI/ML models. Stay abreast of the latest developments and advancements, including new and emerging technologies & best practices and new tools & software applications and how they could impact CDM Smith. Assist with the development of documentation, standards, best practices, and workflows for data technology hardware/software in use across the business. Performs other duties as required Skills and Abilities: Strong expertise in building and deploying machine learning models using frameworks such as TensorFlow, PyTorch, or Scikit-learn. Hands-on experience with cloud-based AI/ML services, particularly in Microsoft Azure and Databricks. Proficiency in programming languages such as Python or R, with a strong understanding of libraries and tools for data science and machine learning. Experience with MLOps practices, including automated pipelines, model versioning, monitoring, and lifecycle management. Familiarity with distributed computing frameworks like Apache Spark and scalable AI/ML training techniques. Expertise in domain-specific AI techniques such as Natural Language Processing (NLP), computer vision, and predictive analytics. Knowledge of data privacy, security, and ethical AI principles, ensuring compliance with relevant standards. Excellent problem-solving and critical thinking skills to identify and address technical challenges effectively. Excellent interpersonal and presentation skills to build strategic relationships with colleagues, stakeholders, and partners. Strong critical thinking skills to generate innovative solutions and improve business processes. Ability to effectively communicate complex technical concepts to both technical and nontechnical audiences. Detail oriented with the ability to assist with executing highly complex or specialized projects. Minimum Qualifications: Bachelors degree. 6 years of related experience. Equivalent additional related experience will be considered in lieu of a degree.

Data Scienctist (MRF00718) - J48913 ROLE: Data Scientist Data Scientist who would be involved in analyzing large data set, identifying patterns, design prompt to extract relevant entities using Generative AI technologies. Location: Anywhere in India Work from Home following below conditions are MANDATORY: If Offered, candidate must visit office Company`s Bangalore Development Center to collect laptop on his/her own. Visit Bangalore Company`s Development Center for work from office for 5 days in every 6 months but company will not reimburse for stay and travel expenses. Education: BE/B.Tech/MCA/M.Sc/MCM/M.Tech/Phd Requirement details: Self-Motivated, Dynamic & result oriented Professional Specialization in Data Science Experience in AI projects, including familiarity with AI and machine learning frameworks (PyTorch, LLMs, NLP, Computer Vision, GenAI). Strong understanding of deep learning concepts and their applications in NLP and Computer vision. Proficiency in Supervised Algorithms. Expertise in Model evaluation and metrics. Working knowledge of generative AI and hands on experience of LLM frameworks. Excellent Programming (Python) skills Excellent Data pre-processing and data cleaning skills. Working knowledge on Fine-tuning and transfer learning Expertise in Cloud computing platforms (AWS, Azure). Expertise in Data visualization. Good to have patents or research papers in ML/AI. Having good Statistics and AI experience will be a plus. Quick learner who exhibits resiliency and tenacity in the face of challenge. Ability to interact with diverse group within and outside of the organization. Agile management tools knowledge - DevOps/JIRA/TFS etc. Required Candidate profile Candidate Experience Should Be : 4 To 8 Candidate Degree Should Be : BE-Comp/IT,BE-Other,BTech-Comp/IT,BTech-Other,MCA,MCM,MCom,MCS,ME-Comp/IT,ME-Other,MIS,MIT,MMS,MSc-Comp/IT,MS-Comp/IT,MSc-Other,MS-Other,MTech-Comp/IT

Exp - 6- 10 Years Level - Senior Consultant Skill - ML OPS with Gen AI Location - Bengaluru Event on 9th May in Bangalore location Hybrid Mode (2 days WFO in a week) Education - B.Tech/B.E/MS/MBA ML OPs Engineer Required: 6-10 years of Consulting, Data, and Analytics experience Experience in descriptive & predictive analytics, both theoretical and practical knowledge in basic ML algorithms like linear and non-linear regression, linear and non-linear classification, dimensional reduction, anomaly detection, statistical concepts and techniques like theoretical distributions, parametric and non-parametric inference 6+ years of experience implementing & executing data science projects throughout the entire lifecycle: Developing/designing and implementing solutions E2E in production. Strong knowledge of Python or R Programming experience with Node.js, SQL, Java, JavaScript OR PERL Experience in cloud-based data platforms on AWS, GCP and Azure Understanding of multi-tier application architectures Ability to develop, test and maintain programming environments and architectural standards Foundational understanding of application development lifecycle and using tools like ANT, Maven, Gradle and Version control (SVN OR GIT OR BitBucket) Experience with working in an agile development lifecycle and continuous integration processes using tools such as Jenkins Experience in doing deployments for Java, .NET , Angular , Node.js , PHP, Python applications using Jenkins/Bamboo Experience on code quality assessment tools and integration with CI tool Strong logical structuring and problem-solving skills Strong verbal, written and presentation skills Preferred Additional Experience in using Spark either with Scala or Python Experience with different database types like RDS and NoSQL Experience in cloud deployments Knowledge of working in a Linux environment Strong understanding and experience configuring, managing and supporting applications using tools such as OpsWorks, Datadog and CloudWatch on AWS Experience in Docker /Swarm / Kubernetes Experience or exposure to Test Driven Development Experience (Junit / TestNG) Experience on Behavior Driven Development Experience (Cucumber / Selenium) Expertise in any commercial data visualization tool such as Tableau, Qlik, Power BI Experience with real time data movement solutions that use security and encryption protocols while data is in transit