Job Description With excellent analytical and problem-solving skills, you should understand business problems of the customers, translate them into scope of work and technical specifications for developing into Data Science projects. Efficiently utilize cutting edge technologies in AI, Generative AI areas and implement solutions for business problems. Good exposure technology platforms for Data Science, AI, Gen AI, cloud with implementation experience. Ability to provide end to end technical solutions leveraging latest AI, Gen AI tools, frameworks for the business problems. This Job requires the following: Designing, developing, and implementing end-to-end machine learning production pipelines (data exploration, sampling, training data generation, feature engineering, model building, and performance evaluation) Deep experience in predictive analytics and statistical modeling Deep experience in successfully making use of the following: Logistic Regression Multivariate Regression, Support Vector Machines, Stochastic Processes, Decision Trees, Lifetime analysis, common clustering algorithms, Optimization, CNN Essential Qualifications B-Tech or BE - computer / IT or MCA or MSC- Computer Science along with necessary certifications is preferred Technical Qualifications (Essential) At least 2 to 3 ML apps deployed in production At least 1 to 2 Gen AI apps in production. Experience in Computer vision is a must. Core ML experience is a must Hands-on programming experience Hands-on technical design experience Hands-on prompt engineering experience At least 3 Data Science, AI Projects designed, developed and delivered to production At least 1 Generative AI Project designed, developed and delivered to production Primary Skills Hands-on coding experience in Python, PyTorch, Spark/PySpark, SQL, TensorFlow, NLP Frameworks and similar tools/frameworks Good understanding of business and domain of the applications Hands-on experience in design and development of Gen AI applications using Open Source LLMs and cloud platforms Hands-on experience in design and development of API based applications for AI and Data Science Projects Expertise in GenAI concepts, RAG and Models fine-tuning techniques Understand the concepts of major AI models such as OpenAI, Llama, Hugging Face, Mistral AI etc., and implementation experience Understanding of DevOps pipelines for deployment Good understanding of Data Engineering lifecycle data pipelines, data warehouse, data lake Secondary Skills End to end data engineering project experience using Databricks and Azure Data platform Knowledge of any configuration management tools is desirable Familiarity with containerization and container orchestration services like Docker and Kubernetes Description of Responsibility Sills / Competencies requirement Functional & Technical Responsibilities Understand customer’s requirements (Business, Functional, Non-Functional etc.,), conduct feasibility study and develop technical specifications for Data Science, AI and Gen AI Projects Design and implement scalable solutions for Data Science, AI and Gen AI Projects using major technology and computing platforms (open source and cloud) Possess excellent analytical and problem-solving skills and be able to understand various forms of data, patterns and derive insights. Should be able to develop efficient Prompts to automate project activities using LLM tools and provide end to end solutions Provide Generative AI solutions for the business/automation requirements using open source LLMs (Open AI, Llama, Mistral etc.,) Collaborate internal and external stakeholders for deriving solution that requires cross functional teams and smoother execution of the projects Provide technical solutions to sales, pre-sales teams for the proposals Develop and guide team members in implementation of solutions related to Data Science, AI and Gen AI Projects Expert knowledge of data modeling and understanding of different data structures Experience with design of AI/ML solutions either as standalone or integrated with other applications Research Orientation Proactive & Clear Communication Collaboration Solution Orientation Solution Articulation Accountability Adaptability / Flexibility Analytical Skills Listening Skills Customer Service Orientation

Hexaware is conducting Walkin Interview for Data Scientist (Agentic AI) _Navi Mumbai Location_ 18th May 25 (Sunday) We urgently looking for Immediate joiners/Early joiners. Interested Candidates can share CV at umaparvathyc@hexaware.com Experience range- 3yrs to 19yrs Notice period- 15 days/30days Max Interview Location (Face to Face)- Navi Mumbai Open Positions: 1. AI Engineer -3+yrs 2. Lead Agentic AI Developer -5+yrs 3. Data scientist Architect- 10_yrs MUST HAVE: Agentic AI, LLM, Advance RAG, NLP, transformer model, LangChain Technical Skill: 1. Knowledge of Agentic AI concepts and applications 2. Strong Experience in Data Scientist (GENAI) 3. Proficiency with Generative AI models like GANs, VAEs, and transformers 4. Expertise with cloud platforms (AWS, Azure, Google Cloud) for deploying AI models 5. Strong Python Fast API experience, SDA based implementations for all the APIs

Join our team in Technology Strategy for an exciting career opportunity to enable our most strategic clients to realize exceptional business value from technology Practice: Technology Strategy & Advisory, Capability Network I Areas of Work: Data & AI Strategy I Level: Manager | Location: Bangalore/Gurgaon/Mumbai/Pune/Chennai/Hyderabad/Kolkata | Years of Exp: 10 to 15 years Explore an Exciting Career at Accenture Do you believe in creating an impact? Are you a problem solver who enjoys working on transformative strategies for global clients? Are you passionate about being part of an inclusive, diverse and collaborative culture? Then, this is the right place for you! Welcome to a host of exciting global opportunities in Accenture Technology Strategy & Advisory. The Practice- A Brief Sketch: The Technology Strategy & Advisory Practice is a part of and focuses on the clients most strategic priorities. We help clients achieve growth and efficiency through innovative R&D transformation, aimed at redefining business models using agile methodologies. As part of this high performing team, you will work on the scaling AI"and the data that fuels it all"to power every single person and every single process. You will part of our global team of experts who work on the right scalable solutions and services that help clients achieve your business objectives faster. Business Transformation: Assessment of AI potential and development of use cases that can transform business Proof of Concepts :Help design POCs and high-level solutions using AI or Gen AI analytics solutions to derive insights from data. Formulation of Guiding Principles and Components: Assessing impact to clients technology landscape/ architecture and ensuring formulation of relevant guiding principles and platform components. Product and Frameworks :Evaluate existing AI & Gen AI products and frameworks available and develop options for proposed solutions. Bring your best skills forward to excel in the role: Leverage your knowledge of technology trends across Data & AI and how they can be applied to address real world problems and opportunities. Interact with client stakeholders to understand their AI problems, priority use-cases, define a problem statement, understand the scope of the engagement, and also drive projects to deliver value to the client Design & guide development of Enterprise-wide AI & Gen AI strategy for our clients Through your expertise and experience, guide your team to suggest the right solutions to meet the needs of clients and help draw up practical implementation road maps that position them for long-term success Benchmark against global research benchmarks and leading industry peers to understand current & recommend AI & Gen AI solutions Conduct discovery workshops and design sessions to elicit AI & Gen AI opportunities & client pain areas. Utilize strong expertise & certification in any of the AI & Gen AI Cloud platforms - Google, Azure or AWS, in areas such as Machine Learning, NLP, Generative AI etc. Collaborate with business experts for business understanding, working with other consultants and platform engineers for solutions and with technology teams for prototyping and client implementations. Have a deep understanding of the Responsible AI & Gen AI framework as well as tools to engage the client in meaningful discussions and steer towards the right recommendation. Define an AI use case driven value realization framework and define business cases relevant to the client industry Create expert content and use advanced presentation, public speaking, content creation and communication skills for C-Level discussions. Demonstrate strong understanding of a specific industry , client or technology and function as an expert to advise senior leadership. Manage budgeting and forecasting activities and build financial proposals Read more about us. Your experience counts! MBA from a tier 1 institute 5- 7 years of Strategy Consulting experience at a consulting firm 3+ years of experience writing business cases (quantitative and qualitative) to support strategic business initiatives or Data & AI transformation 3+ years of experience in designing and building end-to-end Enterprise AI and Gen AI Strategic Solutions using Cloud & Non-Cloud platforms like Google Vertex and Gemini, Azure AI, Open AI, Co-Pilot, Amazon Bedrock, IBM Watson, DataRobot etc. Excellent understanding of Traditional AI, Gen AI, Agentic AI and Advanced Cognitive methods to derive insights and actions Good working knowledge in formulation of relevant guiding principles and platform components with expertise in Responsible AI frameworks is highly preferred 3+ years of experience leading or managing teams effectively including planning/structuring analytical work, facilitating team workshops, and developing Data & AI strategy recommendations as well as developing POCs Mandatory knowledge of IT & Enterprise architecture concepts through practical experience and knowledge of technology trends e.g. Mobility, Cloud, Digital, Collaboration A strong understanding in any of the following industries is preferred: Financial Services, Retail, Consumer Goods, Telecommunications, Life Sciences, Transportation, Hospitality, Automotive/Industrial, Mining and Resources or equivalent domains Cloud AI Practitioner Certifications (Azure, AWS, Google) desirable but not essential

Hexaware is conducting Walkin Interview for Data Scientist (Agentic AI) _Chennai Location_ 17th May 25 (Saturday) We urgently looking for Immediate joiners/Early joiners. Interested Candidates can share CV at umaparvathyc@hexaware.com Experience range- 3yrs to 19yrs Notice period- 15 days/30days Max Interview Location (Face to Face)- Chennai Open Positions: 1. AI Engineer -3+yrs 2. Lead Agentic AI Developer -5+yrs 3. Data scientist Architect- 10_yrs MUST HAVE: Must have Experience: Agentic AI, LLM, Advance RAG, NLP, transformer model, LangChain Technical Skill: 1. Knowledge of Agentic AI concepts and applications 2. Strong Experience in Data Scientist (GENAI) 3. Proficiency with Generative AI models like GANs, VAEs, and transformers 4. Expertise with cloud platforms (AWS, Azure, Google Cloud) for deploying AI models 5. Strong Python Fast API experience, SDA based implementations for all the APIs

*Perform exploratory data analysis to identify patterns, trends, and insights. *Build and validate predictive models and machine learning algorithms. *Stay current on developments in data science and machine learning. Key skills : Azure ,Hadoop&SQL.

Tech Lead Do you have a burning desire to succeed? As a Tech Lead you would still want to code and work on challenging projects. If interested, you will have the opportunity to teach / mentor junior developers and aid in their career development. It does not matter what coding language you have worked in, as long you have a passion to learn and excel in whatever technology we need to adopt. We are more interested in raw talent than in an alphabet soup. The types of problems you will work on are wide-ranging from understanding and adapting health care practices, helping care givers adopt new best practices, integrate new technologies into clinical practices and measurably improve the care outcome. Attributes Our leaders must be lifelong learners, develop others and act as role models for their colleagues, teams, and external partners. An ideal technology leader would: Should work in development, deployment, testing and support. Strong desire to be an individual contributor with little to no oversight (self-directed) Be comfortable with lack of clarity and have the desire to understand business problems. Understanding of data governance principles, including data privacy, security, and compliance requirements. Have extensive software development experience in a fast paced / skunk works environment. Willingness to learn new things, commit to delivering short cycles and ability to course correct with short experiments. Obsess over metrics to understand coverage, adoption and use of solutions. He / She will want to drive value in what we build rather than just explore technology. Develop and work with KRAs aligned to business metrics. Develop KPIs to help track progress. Be keen on creating time-bound projects without compromising quality and functionality. Understand a variety of working technologies down to first principles, and a desire to add more to the list. Continuously seeks and learns new technologies that improve our solution quality, reliability, scalability, performance and maintainability. Be willing to work collaboratively with others on the team, SMEs and partners. Have a keen eye for automation and process improvement. Should have the ability to discern repetitive tasks and use of technology to create process efficiencies. One important characteristic we look for is how eager you are to contribute to help others grow, and to make work and the environment better than how you found it. Description This is a key position for VHT to help create technology that will put us at the leadership position in our industry. This hands-on Technical Leader position will include building and implementing MVP solutions of products that will help us create the new wave of technology led innovation in healthcare for financial and clinical administration. You will be the lead technologist for development and implementation of a multitude of MVP products and take them to helping us be competitive in the market. As the product reaches market you will work closely with operations and client services leaders to produce key capabilities, while ensuring stability, security, scalability and high availability of our systems. Your role will require you to work closely with subject matter experts in clinical and financial administration of practices, health systems, hospitals and payors. Your projects will include working with existing technologies within the health systems; reimagine how work gets done within the scope of a clinical encounter all the way to completing the financial transaction for the patient-physician encounter, and technology solutions outside of the encounter into the back office. We will reimagine how providers-patient-payers interact within the healthcare system to ensure that providers are able to the highest quality of patient care. You would want to solve complex problems and have a natural attraction to ill-defined problems that seemingly are intractable and transform them into solutions. You find yourself in the middle of what seems to be chaos, but you know you can find the order in it. You want to create an impact on solving complex problems for the love of technology. If you are looking for a place to be disruptive, building an inspiring and talented team, a place where you can see your technological scale; VHT could be the place you are looking for! Requirements As a Tech Lead you are expected to take on complex problems and solve them from start to end. You will be responsible for: Responsible for understanding product requirements, identifying gaps and innovating processes to fill the gaps. Excellent understanding of advanced machine learning, GenAI and visualization techniques for NLP algorithms . Have expertise in a common data science toolkit, such as R/Python . Proficiency in using analytics tools and libraries such as Pandas, NumPy, Scikit-Learn, TensorFlow, Hadoop, and Spark. Oversee the development, training and deployment of machine learning models. Have prior UNIX/Linux (GPU) familiarity and RDBMS experience. Ability to adapt to new technology and quickly learn new tools and frameworks. Ensuring we deliver a high-quality product / platform and turnaround bug fixes. Good to have experience in Azure DevOps and Jira for streamlined project management and continuous integration/deployment processes. Skilled in visualizing/presenting data using BI tools, e.g., PowerBI, Tableau, Plotly, D3.js, Datawrapper, etc. You would have experience working with product managers, support and sales teams from time to time. You will have experience working with junior developers and be looked up as a team leader. You will have 6-8 years professional work experience as a Software Developer. Experience with NoSQL databases, such as MongoDB, Cassandra, HBase , etc., is an added advantage.

Role Definition: Data Scientists focus on researching and developing AI algorithms and models. They analyse data, build predictive models, and apply machine learning techniques to solve complex problems. Skills: • Proficient: Languages/Framework: Fast API, Azure UI Search API (React) o Databases and ETL: Cosmos DB (API for MongoDB), Data Factory Data Bricks o Proficiency in Python and R o Cloud: Azure Cloud Basics (Azure DevOps) o Gitlab: Gitlab Pipeline o Ansible and REX: Rex Deployment o Data Science: Prompt Engineering + Modern Testing o Data mining and cleaning o ML (Supervised/unsupervised learning) o NLP techniques, knowledge of Deep Learning techniques include RNN, transformers o End-to-end AI solution delivery o AI integration and deployment o AI frameworks (PyTorch) o MLOps frameworks o Model deployment processes o Data pipeline monitoring Expert: (in addition to proficient skills) o Languages/Framework: Azure Open AI o Data Science: Open AI GPT Family of models 4o/4/3, Embeddings + Vector Search o Databases and ETL: Azure Storage Account o Expertise in machine learning algorithms (supervised, unsupervised, reinforcement learning) o Proficiency in deep learning frameworks (TensorFlow, PyTorch) o Strong mathematical foundation (linear algebra, calculus, probability, statistics) o Research methodology and experimental design o Proficiency in data analysis tools (Pandas, NumPy, SQL) o Strong statistical and probabilistic modelling skills o Data visualization skills (Matplotlib, Seaborn, Tableau) o Knowledge of big data technologies (Spark, Hive) o Experience with AI-driven analytics and decision-making systems

Team: - Strategy & Consulting Practice: - Marketing Analytics - Conversational AI Job location: - Hyderabad Should have hands on experience with at least one Machine learning algorithm, Logistic Regression, Random Forest, K-Means Clustering. Fallout Analytics, NLP, Journey Analytics, Audio Personification, Customer analytics Concepts of Intent, Entity, Fallback Management and Context Management AI bot using Dialogflow / Rasa / EX / ES. Webhooks and Ngrok, programming language like Python, SQL - Advanced Level. Omni Channel Integration Regression Testing Node.js Understanding of CI/CD pipelines Advanced Level. Experience with proposing solution architectures.

Job Description Miratech as a trusted partner seeks a CCAI BOT Developer to join our team remotely. This project focuses on developing and implementing advanced conversational AI solutions using the Google CCAI Bot framework. Scrum teams, including IVR and chatbot developers, collaborate to build intelligent voice bots and chatbots that enhance customer interactions in contact centers. The project integrates NLP, NLU, and machine learning technologies with backend systems, databases, and APIs to create scalable, high-performance solutions. It utilizes CI/CD pipelines, agile methodologies, and enterprise-scale technologies like Google Dialogflow, Genesys, and Nuance Mix Tools. Developers also work with REST-based microservices and automated testing to ensure reliability and continuous improvement of the chatbot ecosystem. Responsibilities: Design, develop, and deploy chatbots and voicebots using leading Conversational AI platforms such as Microsoft Bot Framework and Google Dialogflow. Write clean, efficient, and maintainable code following industry best practices and standards. Develop custom components and tools to enhance chatbot functionality, performance, and user experience. Collaborate with cross-functional teams, including developers, designers, and stakeholders, to align chatbot solutions with project goals and user needs. Utilize NLP and ML techniques, including TTS, STT, and SSML, to enable intelligent and context-aware chatbot interactions. Integrate chatbot systems with backend infrastructure, databases, and APIs to ensure seamless data flow and interaction. Troubleshoot and resolve technical issues by analyzing logs, debugging code, and implementing continuous improvements. Stay updated with emerging trends and advancements in chatbot development, AI, and Conversational UI technologies. Qualifications 3+ years of experience with the Google CCAI Bot framework, Dialogflow ES/CX, and Conversational AI technologies, including NLP, NLU, and ML. 3+ years of experience in IVR application development, including Nuance grammar development. Expertise in web services integration, including working with SQL databases, relational databases, and RESTful APIs. Experience with Google, Genesys, and related technologies, including GVP, Nuance Mix Tools. Strong understanding of agile development and Scrum best practices. Strong analytical skills for resolving technical issues in complex, distributed environments. Bachelors degree in a technology-related field or equivalent professional experience. Nice to have: Hands-on experience with Git, Jenkins, Maven, and automated testing methodologies. Experience with Genesys Composer We offer: Culture of Relentless Performance : join an unstoppable technology development team with a 99% project success rate and more than 30% year-over-year revenue growth. Competitive Pay and Benefits : enjoy a comprehensive compensation and benefits package, including health insurance, language courses, and a relocation program. Work From Anywhere Culture : make the most of the flexibility that comes with remote work. Growth Mindset : reap the benefits of a range of professional development opportunities, including certification programs, mentorship and talent investment programs, internal mobility and internship opportunities. Global Impact : collaborate on impactful projects for top global clients and shape the future of industries. Welcoming Multicultural Environment : be a part of a dynamic, global team and thrive in an inclusive and supportive work environment with open communication and regular team-building company social events. Social Sustainability Values : join our sustainable business practices focused on five pillars, including IT education, community empowerment, fair operating practices, environmental sustainability, and gender equality. * Miratech is an equal opportunity employer and does not discriminate against any employee or applicant for employment on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected status under applicable law. Additional Information All your information will be kept confidential according to EEO guidelines.

Zycus is looking for applicants with a strong background in Analytics and Data mining (Web, Social and Big data), Machine Learning, Pattern Recognition, Natural Language Processing, Computational Linguistics, Statistical Modelling, Inferencing, Information Retrieval, Large Scale Distributed Systems, Cloud Computing, Econometrics, Quantitative Marketing, Applied Game Theory, Mechanism Design, Operations Research, Optimization, Human Computer Interaction and Information Visualization. Applicants with a background in other quantitative areas are also encouraged to apply. We are looking for someone who can create and implement AI solutions. If you have built a product like IBM WATSON in the past and not just used WATSON to build applications, this could be the perfect role for you. All successful candidates are expected to dive deep into problem areas of Zycus interest and invent technology solutions to not only advance the current products, but also to generate new product options that can strategically advantage the organization. Role & responsibilities Act as a technical thought leader in collaboration with the analytics leadership team, helping to set the strategy and standards for Machine Learning and advanced analytics Work with senior leaders from all functions to explore opportunities for using advance analytics Provide technical leadership, coaching, and mentoring to talented data scientists and analytics professionals Guide data scientists in the use of advanced statistical, machine learning, and artificial intelligence methodologies Guide the work of other Machine learning team members to provide support and assistance, while also ensuring quality Preferred candidate profile Experience in predictive modelling and predictive software development Skilled at Java, C++, Perl/Python (or similar scripting languages) Experience in using R, Matlab, or any other statistical software Experience in mentoring junior team members, and guiding them on machine learning and data modelling applications Strong communication and data presentation skills Classification (svm, decision tree, random forest, neural network) Regression (linear, polynomial, logistic, etc) Classical Optimization(gradient descent, newton raphson, etc) Graph theory (network analytics) Heuristic Optimization (genetic algorithm, swarm theory) Deep learning (lstm, convolutional nn, recurrent nn) Perks and benefits Five Reasons Why You Should Join Zycus Cloud Product Company : We are a Cloud SaaS Company and our products are created by using the latest technologies like ML and AI. Our UI is in Angular JS and we are developing our mobile apps using React. A Market Leader : Zycus is recognized by Gartner (world's leading market research analyst) as a Leader in Procurement Software Suites. Move between Roles: We believe that change leads to growth and therefore we allow our employees to shift careers and move to different roles and functions within the organization Get a Global Exposure: You get to work and deal with our global customers. Create an Impact: Zycus gives you the environment to create an impact on the product and transform your ideas into reality. Even our junior engineers get the opportunity to work on different product features.

Job Description The Oracle Global Business Unit (GBU) Generative AI team is responsible for leading Generative AI and Agent needs of business applications serving variety of markets including Finance, Hospitality, Construction and Engineering, Energy & Water etc. Our goal is to enable customers to apply AI to solve their business problems with Oracle's assistance and expertise in Generative AI. In this role, you will have an opportunity to work with teams of applied scientists and engineers to deliver high quality generative ai and agent features that delights our customers with the confidence that their data are safe and protected. Your Opportunity We are seeking a Principal Applied Scientist (IC4) to spearhead Generative AI and Agent use cases that support GBU business applications as well as GBU consulting. As an applied scientist, you will be responsible for driving the development and implementation of cutting-edge technologies. We are building a core talented team specialized in Generative AI. We are looking for candidates who are passionate about building state-of-the-art technologies to solve real-world problems and have a solid technical background in deep learning, especially natural language processing (NLP) and multimodal models, to join this team. You will collaborate with a team of world-class scientists, engineers and product managers. Were looking for a person who will bring a passion for innovative products, strong collaboration skills and the ability to work closely with both development and consulting teams. Youll be a Generative AI expert who is hands-on as well as be adept at evangelizing and influencing multiple stakeholders without direct authority on best practices and to get things done efficiently. Most importantly we believe in a people-first approach. Our team consists of people from a wide variety of backgrounds, with different professional and life experiences, who support each other to build things the right way and enjoy ourselves while doing it. What we offer Being part of one of the most visionary and mission-driven organizations in Oracle, cooperating with talented peers with diverse backgrounds worldwide. High visibility to senior leadership, as well as technical leaders and partners. Opportunity to build state-of-the-art technologies in large language models and generative AI at scale. Close partnership with product managers and software engineers to deploy Generative AI features into products in various business-critical scenarios. Building performance evaluations of Generative AI systems for continuous improvement of alignment with stakeholders' growing expectations. What Youll Do Develop, implement, and optimize large language models and generative AI technologies, including training/finetuning and computation optimizations. Collaborate with software engineers to deploy LLM / Generative AI models and Agents into production environments. Stay up-to-date with the latest advancements in the field of generative AI. Collaborate with cross-functional teams to drive the development and adoption of LLM and generative AI solutions across various organizations in the company. Work directly with key customers and accompany them on their AI journey understanding their requirements, help them envision and design the right solutions and work together with their engineering and data science team to remove blockers and translate the feedback into actionable items for individual service owners. Design and build solutions and help GBU development teams reach successful pilots, PoCs and feature releases with our AI/Gen AI and DS technologies. Bring back learnings from these engagements to standardize Generative AI and Agent implementations for efficiency, scale and ease of maintenance. Support GBU consulting with re-usable solution patterns and reference solutions / showcases that can apply across multiple customers. Being enthusiastic, self-motivated, and a great collaborator. Lead patent filings and author papers to show innovative enterprise grade developments. Be our product evangelist - engage directly with customers and partners, participate and present in external events and conferences, etc. Qualifications: PhD, MS in computer science, engineering, mathematics or a field related to deep learning. Strong knowledge of ML fundamentals supervised vs unsupervised modeling, time series, highly unbalanced and noisy data sets, complex feature engineering, recommendation systems, using and optimizing gradient boosting models, NLP, deep learning on all kinds of unstructured data. 5+ (for Senior), 7+ (for Principal), 10+ (for Sr Principal) years of work experience including a minimum of 2-year experience in developing large-scale ML solutions, and in particular deep learning solutions in the NLP field. Proficiency with deep learning frameworks (such as PyTorch or TensorFlow) and deep learning architectures (especially Transformers). Hands-on experience with distributed training of large language models. Strong development experience of deep learning modeling in Python. Familiarity with the latest advancements in LLM and generative AI technologies. Familiarity with engineering best practices, including shared codebase, version control, containerization, etc. Passionate about being a builder and working with talented peers to solve hard problems at scale. Good communication skills to convey technical concepts in straightforward terms with product managers and various stakeholders. Preferred Skills Publications in top-tier deep learning conferences or significant contributions to prominent deep learning repositories Industrial experience in system design, software development, and production deployment Excel in transforming ambiguous requirements into actionable plans with deep learning techniques for problem-solving. First-hand experience with deep reinforcement learning First-hand experience with the latest technologies in LLM and generative AI such as parameter-efficient finetuning and instruction finetuning is a plus Familiarity with the latest advancements in computer vision and multimodal models is a plus Top-tier performance in prestigious deep learning leaderboards or large model-related competitions is a plus. Career Level - IC5 Responsibilities Drives and plans implementation of company policy for achieving business goals. Defines the bar for science practices, and helps teams achieve those goals. Identifies and mitigates risks across full set of systems, particularly at the intersection of business and engineering. Innovate AI and ML powered solutions (rich APIs, ML models and end to end services) with strategic ISVs and customers. Develop deep product intuition to influence future product roadmaps and drive decision making. Clearly articulate technical work to audiences of all levels and across multiple functional areas in both internal and external settings. Engage in forward looking research both internal and with academic institutions globally. Hires and mentors across the org. Perform an active role in team planning, review and retrospective events. Ensures experiments are ready for hand-off to Software Developers ship into production. May perform other duties as assigned.

Job Description Position Description We are seeking aspirational graduates interested in a career in Consulting to join our niche Banking Domain and Practice. The position will support Senior Consultants Project Managers and teams of talented, professional business and technology in the delivery of business focused solutions for our clients using Oracle applications, tools and technology. Utilizing sound product skills and experience, the successful applicant will initially work on specific project tasks to achieve successful project outcomes and client confidence and abilities. Longer term you will grow, with the help of extensive training and experience of the team around you, into a team lead and eventually project managers or Subject Matter experts in Business domain or Solution Architecture with full accountability and responsibility of the delivered solution for your own projects. Primary Skills & Experience You must be a recent graduate or postgraduate with 7 -10 years or more of field experience. Good Knowledge in Oracle SQL, PL/SQL, Java/J2EE, SOAP and REST based Webservices. Exposure to Containerization, Microservices and Cloud native technologies Knowledge of Java Script, HTML, Angular, React, Knockout Knowledge of Junit, JMeter, Eclipse, GIT, Jira, Ant, Maven, Gradle, Unix Shell scripting Exposure to Application servers WebLogic, Tomcat, JBoss Exposure to middleware concepts JMS, MQ, OSB Exposure to Security concepts PKI, SSO, SAML Good Knowledge of Config, Design & Dev. Sound knowledge on SDLC - Waterfall and Agile Models Experience in Design / Code reviews Experience in Product Implementation and Support. Usage of tools for screen mock-up, UI prototyping tools. Strong analytical and communication skills. Experience in FLEXCUBE or other core-banking systems from providers like TEMENOS, FINASTRA, TCS Bancs, FIS, INTELLECT Design, in similar role is a significant value add. Degree educated in a field relevant to Oracles business. Strong communication skills both written and verbal. Demonstrate accuracy and attention to detail. Domain appreciation, Business acumen and analytical skills Ability to engage with a customer at all levels. Ability to work independently when required, with a good team collaboration skill. A strong interest and aptitude for new trends in Information Technology incl. AI/ML/NLP/RPA Desired Skills: Experience in working in BFSI Domain and specifically Banking is important. Should have strong Oracle tech skills - PL/SQL, SQL, Java. Should have worked on end-to-end implementation of the solution from inception to go-live. Strong problem-solving skills and should have participated in supporting critical phases of projects. Responsibilities Key Responsibilities Develop skills and competence on our products in terms of functionality, design and architecture. Develop extensions or customization around our products in context of customer asks, be it UI/UX or Business functionality, Interfaces and Integration or Reports and visualizations. Assist in the testing and deployment of the product and the customization and developments. Prepare documentation - program specifications, unit test plans, test cases, technical documentation, release notes and status reports. Diversity and Inclusion: An Oracle career can span industries, roles, Countries and cultures, giving you the opportunity to flourish in new roles and innovate, while blending work life in. Oracle has thrived through 40+ years of change by innovating and operating with integrity while delivering for the top companies in almost every industry. In order to nurture the talent that makes this happen, we are committed to an inclusive culture that celebrates and values diverse insights and perspectives, a workforce that inspires thought leadership and innovation. Oracle offers a highly competitive suite of Employee Benefits designed on the principles of parity, consistency, and affordability. The overall package includes certain core elements such as Medical, Life Insurance, access to Retirement Planning, and much more. We also encourage our employees to engage in the culture of giving back to the communities where we live and do business. At Oracle, we believe that innovation starts with diversity and inclusion and to create the future we need talent from various backgrounds, perspectives, and abilities. We ensure that individuals with disabilities are provided reasonable accommodation to successfully participate in the job application, interview process, and in potential roles. to perform crucial job functions. Thats why were committed to creating a workforce where all individuals can do their best work. Its when everyones voice is heard and valued that were inspired to go beyond whats been done before.

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.