632 Gen Ai Jobs - Page 5

As a Data Science candidate, you will be expected to be hands-on & outcome focused to deliver end to end Data Science projects. You should also possess a proven track record of delivering & managing multiple Data Science projects through its complete lifecycle starting from defining the business problem to recommending action driven insights. You are expected to demonstrate leadership, analytical & project management qualities to not only execute projects independently but drive multiple projects to completion through collaboration, mentoring & consulting in a demanding environment. Work youll do Liaison with on site and client teams to understand various business problem statements analytical requirements Provide suggestions on various machine learning algorithms to solve business analytics problems Drive for value proposition with best in class industry practices & latest algorithms Actively participate in client pursuits, proposals & bids Oversee & improve machine learning models developed by the team & identify scope for model improvements & best practices. Qualifications Required: Experience in descriptive & predictive analytics Education: Bachelors / Masters in a quantative fields. Analytics certificate programs from a premier institute will be preferred. Should have hands on experience implementing & executing Data Science projects throughout the entire lifecycle Expertise in Sentiment Analysis, Entity extraction, document classification, Natural Language Processing (NLP) & Natural Language Generation (NLG) Strong understanding of text pre-processing & normalization techniques such as tokenization Strong knowledge of Python is a must Strong SQL querying skills & data processing using Spark Hands on experience in data mining with Spark String expertise in any commercial data visualization tool such as Tableau, Qlik, Spotfire etc. Good understanding of Hadoop ecosystem.

Role - Data Scientist Skill - Data Scientist + LLM + Gen AI + Deep Learning Designation - Sr. Consultant (AVP) The Senior AI Scientist is a technical role responsible for driving the design, development, and deployment of advanced AI components, models and systems. With 7+ years of experience in artificial intelligence and machine learning, this role is focused on hands-on research, solution prototyping, and enterprise-grade implementation across foundational models, generative AI, and multi-modal applications. The individual is expected to contribute deep technical expertise, execute on complex AI initiatives, and mentor junior scientists. The ideal candidate combines a strong research background with architectural thinking, practical implementation experience, and the ability to collaborate across cross-functional data, business, product and other teams. Responsibilities Develop the organizations AI research agenda, with a focus on AI (NLP/ML models), foundational models, generative AI, Agentic AI solutions and multi-modal systems aligned to business priorities. Develop end-to-end AI components and capabilities, from ideation and prototyping to scalable, enterprise-grade deployment. Translate cutting-edge research into real-world AI components, perf-ormance optimization, data generation, and integration with existing data and platf-orm ecosystems. Collaborate cross-functionally across product, business and other teams to drive alignment between AI research strategy and enterprise technology roadmaps. Ensure compliance and optimize perf-ormance, covering data governance, industry standards, and model efficiency. Ensure responsible and ethical AI development, incorporating model governance, explainability, fairness, and bias mitigation into the AI lifecycle. The person has to perf-orm testing, validation of the components with reproducible matrix. The person has to perf-orm cross collaboration and work on activities like generation of synthetic data, test suite development, Fine tuning and metrics validation. Good to have - Contribution to Whitepaper, blog authoring / contribution, Github Open source AI projects. Skills Expertise in software languages like Python / Java / .NET, R, PySpark, etc (Atleast 1 language) and SQL Expertise in developing AI and ML based solutions involving LLMs, NLP, Speech, Video, Agentic AI and other Deep Learning based models. Should have worked on Frameworks and libraries like Tensorflow, PyTorch, ScikitLearn, Ollama, Nemo, Transf-ormers, Torch lightning, NIMS library, Unsloth, etc. Should have exposure working on Fine tuning of LLM models using Open source libraries. Ability to pursue new innovative solutions based on the new and latest technological developments and stacks. Ability to validate the solutions based on metrics, components to be part of larger integral system. Experience in Machine learning models like statistical, time series, stochastic, etc. Possess good concepts in various Machine learning algorithms and metrices. Experience in NLP based solutions like extraction, summarization, cl-assification, etc using libraries like RASA, BERT, etc. Experience in developing chatbots, QA solutions, etc. Experience in replicating the solution for different business streams as per the requirement by fine tuning the models. Experience in using AI Cloud services in developing platf-orm / end to end solutions. Good to have exposure to Cloud based deployment of AI solutions Exposure to atleast 1 Cloud services (AWS, Azure, GCP) is expected Should have experience in developing GenAI solutions making use of cache like RAGs (Chroma DB, FAISS, etc) and internal memory. Good to have experience in developing Hash, GraphAI, etc based NLP components like models, RAGs, etc Capable of communicating AI strategy, technical insights, and roadmaps to senior stakeholders for strategic alignment Solid grasp of data privacy, security, and compliance standards in WNS Adaptability and a continuous learning mindset and excellent communication

1. Scope of position We are seeking a highly skilled and motivated Operations Manager with a strong understanding of STEM disciplines to lead a dynamic, innovative team. The candidate will have proven leadership experience, with a strong foundation in science, technology, engineering, or mathematics, and a passion for driving excellence in STEM projects. 2. Skills/Qualifications required ? Master's or PHD degree in STEM fields (e.g., Computer Science, Engineering, Mathematics, Physics, Chemistry, etc.) or a related domain . ?Excellent people management skills, must have experience as an OM for a minimum of 2 years with a minimum of 1 year handling STEM related projects. ?Experience managing large teams of 100+ FTE's. ? Should have very good understanding on various STEM subjects, and check if the end result is correct in order to help with AI model training. ? Strong logical reasoning, decision-making skills and the ability to multitask. ? Experience in the Gen AI - Content rating/writing/annotation industry is preferred, as it provides insights into the specific challenges and opportunities within the field. ?Flexibility to work on time-sensitive projects and rotational shifts. ?Proficient in G-suite and must have prior experience working with large technology companies as a service provider. ? Experience in budgeting and forecasting and headcount planning including ways to reduce cost and driving efficiencies. ?Strong communication skills- Verbal & written, Strong interpersonal skills, Strong Aptitude, Analytical, Logical Reasoning and Data Interpretation Skills. ? Strong analytical and research skills; Detail-oriented; Strong problem-solving skills ? Familiarity with emerging technologies such as AI, Machine Learning, LLM etc. ? This is a WFO requirement (Noida or Hyd). ? Understand P&L accounts and know how to drive efficiency and improve margins with a strong focus on revenue growth. ?Proficient in English. ?Handle day-to-day operations, utilizing analytics to improve decision-making, coaching team members for professional growth, recognizing achievements, and implementing robust performance management strategies. ?Regularly interact with internal and external stakeholders, effectively sharing updates, conducting operational reviews to identify areas for improvement, and leading project and program-level reviews to ensure alignment with organizational objectives. ?Possess a deep understanding of the workflow and operational focus, leveraging this knowledge to optimize processes and drive efficiency. ?Manage timelines, sets realistic deadlines, and conducts independent assessments of project deliverables to ensure timely completion and adherence to quality standards. ?Communicate clear goals, execution strategies, and guidance to the team, fostering a culture of transparency, accountability, and collaboration. ?Support the implementation of company programs, procedures, methods, and practices, ensuring compliance and alignment with organizational policies and regulations. 3. Key responsibilities ?Lead and manage a multidisciplinary team of STEM professionals, providing guidance, mentorship, and motivation to ensure high performance and personal development. ?Oversee and manage the execution of complex STEM projects, ensuring timelines, quality standards, and budgets are adhered to. ?Excellent hands on skills to get into the process deeply & ability to identify the gaps and suggest improvement plans to process ?Should have a sound knowledge of MIS and reporting activities.Experience on Google Office Suite is required. ?Should be able to motivate, develop and mentor team members in a dynamically changing environment ?Monitor projects/transactions and provide qualitative/constructive feedback to the team members ?Foster a collaborative and inclusive environment that encourages innovation and knowledge-sharing. ?Work closely with other stakeholders to define project scope, set clear objectives, and track progress. ?Should have excellent problem solving capabilities and lateral thinking skills ?Should be open to work in 24/7 environment ?Shows flexibility/ownership & ability to work under pressure situation Ability to work within challenging environment

Job description Detailed JD below: Key Responsibilities: Design, develop, and implement Generative AI (GenAI) models using the Gemini AI platform for building intelligent systems capable of processing, analysing, and generating data. Develop and optimize machine learning models and pipelines for complex data-driven applications in a microservice architecture. Build and maintain Spring Boot microservices that expose APIs for AI/ML models, enabling integration with other services and applications. Collaborate with frontend teams to integrate Angular/ReactJS-based UI components, providing a seamless user experience for AI-driven applications. Develop interactive, data-driven interfaces using Angular/ReactJS, focusing on real-time updates from backend services and AI model outputs (e.g progress bars, charts, and interactive visualizations). Work closely with cross-functional teams (data scientists, backend developers, and business stakeholders) to integrate AI/ML solutions and GenAI features into business-critical systems. Work with Google Cloud Platform (GCP) tools and services (e.g. AI Platform, BigQuery, Cloud Functions, Cloud Run) for model deployment, scaling, and management. Optimize the performance of AI models and backend services, ensuring scalability and reliability in a microservice architecture. Collaborate in designing and implementing AI-driven features using Spring Boot for backend systems, integrating AI models with real-time data processing. Create and maintain comprehensive documentation for machine learning models, microservices, APIs, and system architecture. Experience with event-driven architectures and working with technologies like Kafka, RabbitMQ, or AWS SQS Experience with DevOps practices, including deploying applications in production environments with tools like Terraform, Ansible, or Cloud Build. Knowledge of NoSQL databases (e.g MongoDB, Cassandra) and SQL for efficient data storage and retrieval Strong knowledge of security best practices in building microservices using Spring Security framework Stay up to date with the latest developments in Generative AI, machine learning, microservices, and cloud technologies, and apply them to real-world problems. Mentor junior engineers and data scientists, sharing knowledge of AI/ML, microservices, and full-stack development best practices.

Key Responsibilities Assess and enhance the AI platforms cloud infrastructure and data pipeline resilience using AWS and cloud based technologies Ensure scalability and fault tolerance of AI ML models within cloud environments Identify and resolve bottlenecks in model inference and training pipelines focusing on performance and resource optimization Optimize cloud resource utilization on AWS for real time use cases including AI model deployment Collaborate with the DevOps team on improving cloud deployment processes and managing AWS infrastructure Implement automated testing to simulate fault tolerance and ensure high availability Provide ongoing technical support for users of the Generative AI platform troubleshooting issues and responding to queries to ensure seamless operations Monitor cloud platform performance on AWS identifying and implementing optimization strategies to improve cost efficiency and scalability Work with AWS cloud services eg EC2 S3 Lambda VPC to ensure proper configuration management and performance Document key processes issues and solutions for knowledge sharing and future reference Stay updated with industry trends in Generative AI cloud technologies and AWS cloud administration

Job description The Data & Analytics team is responsible for integrating new data sources, creating data models, developing data dictionaries, and building machine learning models for Wholesale Bank. The primary objective is to design and deliver data products that assist squads at Wholesale Bank in achieving business outcomes and generating valuable business insights. Within this job family, we distinguish between Data Analysts and Data Scientists. Both roles work with data, write queries, collaborate with engineering teams to source relevant data, perform data munging (transforming data into a format suitable for analysis and interpretation), and extract meaningful insights from the data. Data Analysts typically work with relatively simple, structured SQL databases or other BI tools and packages. On the other hand, Data Scientists are expected to develop statistical models and be hands-on with machine learning and advanced programming, including Generative A Requirements We are seeking a highly skilled Data Science and Generative AI Specialist with 2+ years of experience in machine learning, deep learning, or AI research, with a focus on generative models. The ideal candidate will have strong expertise in data science, machine learning, and generative AI, with specific experience in document detail extraction, feature engineering, data processing using Python, and familiarity with tools such as Streamlit for data app creation. The candidate must also possess advanced skills in prompt engineering, chain of thought techniques, and AI agents to drive our cutting edge projects forward Key Responsibilities: Develop and implement machine learning models for document detail extraction and data processing. Perform feature engineering to enhance predictive models and data algorithms. Implement advanced data augmentation, feature extraction, and data transformation techniques to optimize the training process. Deploy generative AI models into production environments, ensuring they are scalable, efficient, and reliable for real time applications. Use cloud platforms (AWS, GCP, Azure) and containerization tools e.g., Docker, Kubernetes) for model deployment and scaling. Utilize Python and libraries such as pandas, NumPy, scikit learn, TensorFlow, and PyTorch for data analysis, processing, and model development. Create interactive data applications using Streamlit for various stakeholders. Qualifications: 2+ years of experience in machine learning, deep learning, or AI research, with a focus on generative models. Experience with generative models such as GANs (Generative Adversarial Networks), VAEs Variational Autoencoders), and transformer based models Understanding of model fine tuning, transfer learning, and prompt engineering in the context of large language models (LLMs). Knowledge of reinforcement learning (RL) and other advanced machine learning techniques applied to generative tasks. Strong programming skills in Python and familiarity with relevant libraries and frameworks.

Job description Broad expertise in Fincrime Monitoring, AML, KYC, Sanctions Screening, Payment Screening, Fraud etc Proven risk & regulatory experience in financial services gained through management consulting, banking or other relevant industry practitioner or regulatory roles End to end project implementation and cross functional stakeholder management experience including agile project delivery Seasoned business analyst with experience in requirements analysis, requirements management and documentation, exposure to tools like JIRA, Confluence etc hands on with SQL queries Bachelor degree from a reputable Institute. Master degree preferably in a quantitative field Business, Data Science, Statistics, Computer Science, etc. Comfortable with ideation, solution design and development of thought leadership materials and documents to support practice development efforts Exposure to leading vendor products like Actimize, Fircosoft etc is a plus Experience in Data Science, Analytics, AI ML. Gen AI, Data Management, Data Architectures, Data Governance, platforms and applications is a plus Exposure to Consultative sales business development, pre-sales, RFP a

Job Description Generative AI Platform Support Engineer Responsibilities: Provide technical support for our AI platform focusing on the integration of cloud infrastructure deployment and ongoing maintenance. Work closely with cross-functional teams to troubleshoot technical issues, implement platform enhancements, monitor system performance, and ensure the platform runs efficiently and effectively. Leverage expertise in AWS Cloud Administration and Infrastructure management to support platform operations and ensure optimal system performance. Key Responsibilities: Assess and enhance the AI platform's cloud infrastructure and data pipeline resilience using AWS and cloud-based technologies. Ensure scalability and fault tolerance of AI/ML models within cloud environments. Identify and resolve bottlenecks in model inference and training pipelines, focusing on performance and resource optimization. Optimize cloud resource utilization on AWS for real-time use cases, including AI model deployment. Collaborate with the DevOps team on improving cloud deployment processes and managing AWS infrastructure. Implement automated testing to simulate fault tolerance and ensure high availability. Provide ongoing technical support for users of the Generative AI platform, troubleshooting issues and responding to queries to ensure seamless operations. Monitor cloud platform performance on AWS, identifying and implementing optimization strategies to improve cost efficiency and scalability. Work with AWS cloud services (e.g., EC2, S3, Lambda, VPC) to ensure proper configuration management and performance. Document key processes, issues, and solutions for knowledge sharing and future reference. Stay updated with industry trends in Generative AI, cloud technologies, and AWS cloud administration.

About the job Line of Service Advisory Industry/Sector Not Applicable Specialism SAP Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm's growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Job Description & Summary: A career within. A career within Application and Emerging Technology services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge Job Summary: We are seeking a highly skilled Conversational AI Developer to join our team. In this role, you will be responsible for developing and implementing conversational AI solutions that enhance customer engagement and improve business operations. The ideal candidate will have a strong background in software development, as well as experience with natural language processing and machine learning. Responsibilities Develop and implement conversational AI solutions that meet client needs. Build and train natural language processing models to improve accuracy and understanding. Design and develop conversational interfaces that are intuitive and easy for users to navigate. Work with cross-functional teams to integrate conversational AI solutions into existing systems. Troubleshoot and resolve technical issues related to conversational AI solutions. Stay up-to-date with the latest developments in conversational AI and identify new opportunities for growth and innovation. Requirements Bachelor's degree in computer science or a related field. 2+ years of experience in software development, with a focus on conversational AI. Strong understanding of natural language processing and machine learning. Strong Experience with programming languages such as NodeJS, C#, Python, Java, or JavaScript. Experience with chatbot platforms such as Kore.ai, Yellow.ai, MS Bot Framework and other similar tools. Strong problem-solving and analytical skills. Excellent communication and interpersonal skills. Ability to work independently and manage multiple projects simultaneously. Mandatory Skill Sets Gen AI, Python, Node JS, Javascript Preferred Skill Sets Gen AI, Python, Node JS, Javascript Years Of Experience Required 4 - 7 Education Qualification B.Tech / M.Tech / MBA / MCA

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Sr. Data Science & AIML, Gen AI Lead/Engineer to join our team in Bangalore, Karnataka (IN-KA), India (IN). Job Duties: Job Title: Data Science & AIML, Gen AI Lead/Engineer Key Responsibilities: Develop and implement traditional machine learning algorithms. Deploy at least one model in a production environment. Write and maintain Python code for data science and machine learning projects. Minimum Skills Required: Preferred Qualifications: Knowledge of Deep Learning (DL) techniques. Experience working with Generative AI (Gen AI) and Large Language Models (LLM). Exposure to Lang chain.

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. The opportunity: We are looking for Product Heads (Sr Managers) who will be responsible for building and leading products journey (Business cum Digital enablement) for EY's business growth in the marketplace. It will be a scalable product enabled for B2B accounts (Fortune 500 firms) globally addressing specific business needs of clients. It will inculcate visionary mindset, next generation approach, unconventional thinking, entrepreneurial modest, helping organizations to reimagine and scaling digital centric business models. Your key responsibilities: Deep understanding of market, clients, business, and digital needs/requirements for manifesting a product. Having a strong thought leadership, knowhow of emerging trends (business and digital) such as industry/sector/functional nuances & Gen AI and CxO's market priorities enablement would be few key dimensions for this role. The role would manifest: Deep understanding of market and industry emerging trends and direction Ability to proactively identify the future needs (3-5+ years ahead) and align those dimensions into a product. Strong business & thought leadership and global outlook on various areas. Enabling CxOs mindset/priorities and strategic imperatives into product design/development through a consultative approach. GTM and commercialization of product including industry/sub-industry orientation. End to end enablement (business to product design, development, successful roll out and continuous iterations/improvements) and having an eye on Value/ROI and customer centricity. Digital strategy and roadmap (Including areas such as data management/integration, analytics, AI/ ML strategy and Automation). Ability/Flexibility to lead/work on strategic global client engagements post building a product (client specificity/inculcation). Embedding EY Framework and methodology and bringing the best practices of industry/market. Skills and attributes for success: Able to ideate, strategize and having a big picture and strategic mindset. Foreseeing market/client needs (futuristic) and enabling it. State of the art digital mindset/vision. Thinking from client's perspective (growth, ROI, market/product differentiation etc.) and modulating a product design/development/roll out. Alignment on end client objectives such as Value, Differentiation, Ease of Use and long term enablement. Able to work creatively and systematically in a time-limited, problem-solving environment. Flexible, curious and creative, open for new things and able to propose innovative ideas. Excellent leadership, interpersonal skills and cultural dimensions. Team player, open, pleasure to work with and positive in a group dynamics. Intercultural intelligence and experience of working in more than one country and/or multi-cultural teams with distributed delivery experience. Ability to work with teams across countries (including different time zones). Emphasize on business & practice development and team management/coaching/leadership inculcation. Ability to manage multiple priorities simultaneously to meet tight deadlines and drive projects to completion with minimal supervision. To qualify for the role, you must have the following dimensions: 12+ years of global experience in business, strategy and digital areas with focus on continuously improving existing frameworks, taxonomy & metrics through infusion of industry best practices, current & emerging trends. Ability to think from business perspectives, bringing in industry and sector perspectives while building solutions. Proven record of Multi million revenue/profitability enablement (across markets/countries) from developed product in the past. Had an experience of scaling up business through products distinctiveness. Having an intricate awareness of sector trends, business, process, and nuances. Expertise in one or more sectors (end to end) Proven abilities in ideating, designing and developing a world class product with customers globally. Also spearheading a product release/refresh through the lifecycle. Ability to relate the product success with outcome/ROI orientation. An eye on differentiation, transformation and reimagination of business globally Facilitate full implementation life cycle from scoping to deployment of critical & complex custom designed, multi-tiered, business applications that deliver exceptional business value. Lead value proposition on new products spanning full product lifecycle to modernize legacy platform & user experience. Creating new solutions & improvising existing ones and weaving together existing ones to build robust solutions. Participated in project discovery & definition workshops contributing to creating scope & development estimates. Collaboration with internal & external stakeholders to help maximize the value of products & services. Willingness to mentor team members. Excellent thoughtfulness, technical and problem-solving skills. Excellent written and verbal communication skills. Ideally, you'll also have: Ability to think strategically/end-to-end with result-oriented mindset. Ability to build rapport within the firm and win the trust of the clients. Willingness to travel extensively and to work on client sites / practice office locations. What we look for: A team of people with commercial acumen, technical experience, and enthusiasm to learn new things in this fast-moving environment. Opportunities to work with EY SaT practices globally with prominent businesses across a range of industries. Sourcing Avenues: Strategy/Consulting firms such as MBB, Big 4s, Boutique firms etc. (current and past). They may be currently working in other product firms (B2B) and can be considered provided they have past experience of Strategy/consulting firms. Experience and Education: A bachelor's degree in Business, Accounting, Finance, Engineering, Computer Science, or Analytics. MBA or equivalent Master's degree is preferred. 12+ years of experience. At least 7+years of progressive post-graduate management consulting experience in top-tier consulting firms. Must be willing and able to travel on short notice. What we offer: Continuous learning: You'll develop the mindset and skills to navigate whatever comes next. Success, as defined by you: We'll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership: We'll give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture: You'll be embraced for who you are and empowered to use your voice to help others find theirs.

As a member of the Godrej Enterprises Group, you will be responsible for developing and implementing a robust and scalable GenAI architecture that aligns with business objectives. Your role will involve enabling innovation, efficiency, and competitive advantage through GenAI while defining and enforcing GenAI architecture standards and best practices. You will play a key role in defining the overall GenAI architecture roadmap and ensuring model scalability and reliability in production environments. Additionally, you will be tasked with implementing model monitoring and performance optimization strategies to drive continuous improvement. Your responsibilities will also include designing infra architecture for GenAI model training and deployment. You will be expected to define the overall GenAI architecture roadmap and patterns practices, ensuring cost-effectiveness of the GenAI infrastructure. Your role will involve driving innovation and research in GenAI to identify and implement cutting-edge solutions, maintaining a competitive edge, and exploring new business opportunities. You will stay up-to-date with the latest advancements in GenAI through conducting research and experimentation. Conducting regular audits and assessments of GenAI solutions will be a crucial aspect of your role. You will be responsible for conducting code reviews and architecture assessments, putting together an auditing framework with various aspects and scoring methods, and ensuring compliance with ethical guidelines and regulations. Your focus will be on reducing bias and fairness issues in GenAI models through thorough evaluations and assessments. Developing and publishing evaluation metrics will be another key responsibility. You will evaluate and select appropriate GenAI models and frameworks, design a Gen AI auditing framework, and publish metrics on companywide dashboards, external partners and stakeholders, as well as at conferences and events. Additionally, you will contribute to presentation, content development, awareness building, and training initiatives related to Gen AI, focusing on enhancing capabilities and ensuring effective communication of complex concepts to diverse audiences. To qualify for this role, you should hold a BE/Btech in computers or data science and have relevant trainings/certifications in domains like Deep Learning & Core AI/ML, AI & MLOps, Cloud & Software Architecture, Data & AI Engineering, Communication, Model Deployment & Optimization. You must possess 8-10 years of overall experience, with a minimum of 3-4 years in Gen AI application development and cloud-based architecture. Special skills required include expertise in AI, Gen AI, LLM development frameworks, hands-on cloud expertise, architecture skills, deep learning & core AI/ML, generative AI expertise, cloud & software architecture, data engineering & ethics, communication, and model deployment & optimization.,

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. We are looking to hire people with strong Power Platform skills and an interest in learning new technologies in the process automation space such as RPA, AI/ML, Cognitive, Conversational Chat, and Gen AI. The role requires a minimum of 3-5 years of relevant experience, with at least 3+ years of hands-on experience on Power Platform. You should have a detailed understanding of canvas apps, model-driven apps, power pages along with their limitations, application, and key features. Additionally, you should have a detailed understanding of Power Automate digital flows and Power Automate desktop, basic knowledge of Power BI and Power virtual agents, basic AI concepts using AI builder and Co-Pilot, knowledge of Dataverse and its concepts around security and automation, as well as knowledge of environment management using the CoE toolkit, security groups, and controls around the tenant. Database knowledge of at least one RDBMS product (SQL, Oracle, etc.) is required. You will be expected to interface with Architects and customers to understand business processes and system requirements, architect and design Power platform solutions independently, lead a development team, and support with technical queries during engagement delivery. Experience in developing solutions using a combination of automation technologies like Power Platform, AI/ML, and RPA is essential. Certification as a PL 600 Solution Architect in Power Platform is preferred. The ideal candidate will mentor junior developers on Power Platform best practices and standards, have hands-on experience on Power Platform implementations including Apps, Automations, Dataverse designs, power BI, etc., possess deep knowledge and experience in Agile methodologies, and have experience working with JSON, XML & RESTful API. Experience in Object-Oriented programming languages like C#, Java, or dotnet full stack, and working with at least one external integration such as Web service, ESB, etc., is desirable. Knowledge of RPA and DevOps tooling is a plus. Excellent written and verbal communication skills are required, along with the ability to write clear, understandable logic for maintainable code that meets design specifications. What we look for: - A Team of people with commercial acumen, technical experience, and enthusiasm to learn new things in this fast-moving environment. - An opportunity to be a part of a market-leading, multi-disciplinary team of 1400+ professionals in the only integrated global transaction business worldwide. - Opportunities to work with EY Advisory practices globally with leading businesses across a range of industries. At EY, we're dedicated to helping our clients, from startups to Fortune 500 companies, and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects, focusing on education and coaching alongside practical experience to ensure your personal development. We value our employees and provide support, coaching, and feedback from engaging colleagues. You will have opportunities to develop new skills, progress your career, and the freedom and flexibility to handle your role in a way that's right for you. EY exists to build a better working world, helping to create long-term value for clients, people, and society, and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform, and operate. Working across assurance, consulting, law, strategy, tax, and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.,

The Marketing Transformation Senior Manager role within Accenture GN Song involves working at the core of the top global Life Sciences industry, including Pharmaceuticals, Biotechnology, and Medical Technology. As a Senior Manager, you will collaborate on innovative projects, leveraging deep industry knowledge and marketing skills. Your responsibilities will encompass strong project management to successfully plan, execute, and deliver content initiatives, while also coordinating cross-functional teams and managing resources effectively. An analytical and data-driven mindset will be crucial in driving result-oriented decisions. Your role will involve providing consulting and advisory services, including market research, analysis of the pharmaceutical market, competitor benchmarking, patient journey mapping, and segmentation & targeting. Additionally, you will be responsible for developing end-to-end digital marketing strategies and campaigns, leading content marketing initiatives, social media engagement programs, and web campaigns aligned with the overall content strategy. In terms of marketing technology, you will lead platform assessment and solution design, focusing on optimizing the MarTech stack, developing use cases to improve technology utilization, and recommending new MarTech systems. Expertise in tools and platforms such as Adobe Campaign, Marketo, Google Marketing Platform, and Salesforce Marketing Cloud will be essential for success in this role. Furthermore, you will be expected to stay updated on the latest AI developments in the Life Science industry, design and implement GenAI use cases, and drive new business engagements through lead generation and pursuing new opportunities. Practice development, leadership, collaboration with key stakeholders, and talent management will also be key aspects of your responsibilities. Your professional and technical skills should include in-depth knowledge of branding, creative development, digital marketing, campaign deployment, and optimization. Experience in working with middle to senior management levels, agencies, or marketing agencies for Life Sciences clients is desirable. Additionally, you should possess a strong understanding of marketing and advertising technologies and the ability to apply technology know-how to enhance client outreach strategies. This role offers the opportunity to work on transformative projects with key G2000 clients, co-create innovative solutions with industry experts, enterprise function practitioners, and business intelligence professionals. You will have access to personalized training modules to enhance your strategy and consulting acumen, industry knowledge, and capabilities. Accenture is committed to accelerating equality and fostering boundaryless collaboration across the organization. Qualifications for this position include a minimum of 8 years of experience and an MBA from a tier 1 institute, preferably with a bachelor's degree in marketing, journalism, communications, or a related field. Join us at Accenture to be part of a dynamic team driving marketing transformation and innovation in the Life Sciences industry.,

Model Risk Management (MRM) is part of the Global Risk Management of Citi and is responsible for Independent Oversight of models across the firm. Citi is seeking a Vice President to join the System Strategy and Oversight Team within Model Risk Management Inventory & Initiative Management Group. The role requires experience in Risk management, SDLC, Waterfall, Iterative and Agile methodologies, and expertise in Project Management and Governance. Experience in process reengineering, business architecture, simplification, controls and UAT. Experience in developing solutions driving automation of Gen AI/ modeling tools or building reporting frameworks would be a big plus. Familiarity with FRB's Supervisory Guidance on MRM SR 11-7 and 15-18. The MRM System Strategy & Oversight (SSO) Lead will be responsible to drive reengineering of MRMS, the Citi Model Risk Management System in line with Model Risk Management Policy and Procedures and overall Model Risk system strategy. They will translate policies, procedures, and guidelines into process maps and concrete tasks, identify dependencies, decision points, actors, opportunities for streamlining, etc., and build system solutions to support. The role involves collaborating with various stakeholders both within and outside Risk management to identify, streamline, simplify, and implement model life cycle processes in MRMS. The responsibilities also include authoring Business requirements, re-engineering processes and system solutions to drive simplification and automation, liaising with IT partners to build effective system solutions, and partnering with validation and development groups to drive integration of metrics and documentation digitization, Gen AI POCs with MRMS target state. The ideal candidate should have 12+ years of working experience with 5+ years in product development or equivalent role. They should be familiar with O&T developing cycle as well as with model risk management or similar. Experience in supporting cross-functional projects with project management, technology on system enhancements is required. Additionally, knowledge/experience with process design, database design, and high proficiency in SQL are essential. Institutional knowledge/experience with Citi platforms/application is preferred. Strong interpersonal skills, project management skills, and experience with Python, R, other programming languages for implementing POCs are desired. Expert level knowledge at MS Excel for data analytics including VBA skills; MS PowerPoint for executive presentations; MS Word for business documentation; MS Visio for process flows and swim lane are also expected. A Bachelor's degree in finance, mathematics, computer science or related field is required, with a Master's Degree being preferred. Working at Citi means joining a family of more than 230,000 dedicated people from around the globe. It offers the opportunity to grow your career, give back to your community, and make a real impact. If you are looking to take the next step in your career, consider applying for this role at Citi today.,

As a Healthcare Technology Organization dedicated to simplifying, accelerating, and optimizing care delivery for healthcare enterprises, AVIZVA has been a strategic enabler in the industry since 2011. With a proven track record of over 13 years, we have designed and delivered more than 150 customized products for prominent Medical Health Plans, Dental and Vision Plan Providers, PBMs, Medicare Plan Providers, TPAs, and other healthcare entities. In your role as an Associate Manager - Applied Machine Learning at AVIZVA, you will be at the forefront of architecting, designing, and developing advanced GenAI products and services. Your responsibilities will include leveraging your technical expertise in machine learning to lead a team effectively and contribute to the development of Large Language Model (LLM) based products. By combining GenAI and traditional ML approaches, you will play a crucial role in meeting key product requirements. Collaboration is key in this role, as you will work closely with cross-functional teams, including product managers and business leaders, to deliver scalable machine-learning solutions that align with business objectives. **Job Responsibilities:** - Lead the team by setting clear goals, priorities, and performance expectations that align with business objectives. - Architect and oversee the lifecycle of LLM based GenAI projects, ensuring timely delivery in line with business needs. - Take ownership of technical and operational challenges, providing solutions to keep projects on track. - Collaborate with infrastructure and engineering teams to seamlessly deploy and integrate models into production environments. - Foster a culture of continuous improvement through agile practices and regular retrospectives. - Stay updated on emerging machine learning technologies and prototype new algorithms to tackle complex challenges. - Motivate the team to deliver high-quality results on time while maintaining a collaborative work environment. **Skills & Qualifications:** - Bachelor's or Master's degree in Computer Science or a related analytical field. - Minimum of 1 year of experience in Gen AI, Agentic AI, and Large Language Models. - Hands-on experience in building RAG pipelines and utilizing NLP, NLG, Text Analytics, and Transformer-based models. - 10+ years of experience as an Applied Machine Learning Engineer or Data Scientist, with expertise in Python. - Strong knowledge of system design, architecture, design principles, and Core Python. - Proficiency in ensemble models, classification, clustering algorithms, and Object-Oriented Programming. - Experience with ORM tools, RESTful services, debugging, testing frameworks, and web development. - Familiarity with Agile methodology, excellent communication, and problem-solving skills. Join AVIZVA to be a part of a dynamic team that is dedicated to transforming healthcare delivery through innovative technology solutions.,

As the Business Analyst/SME for digital channel transformation programs, you will be responsible for focusing on corporate internet banking, mobile banking, and omni-channel capabilities. Your key tasks will include defining business requirement documents (BRD), functional specs, and persona-based user journeys to support agile product development. You will collaborate with UX/UI teams, product owners, and technology leads to deliver contextual, responsive, and role-driven digital experiences for corporates. In this role, you will be managing product backlogs and sprints using tools like JIRA, Confluence, or similar, ensuring alignment across business, compliance, and technical stakeholders. Additionally, you will contribute to portal accelerator kits, reusable frameworks, and Gen AI-led enhancements. Your responsibilities will also involve assisting in client presentations, sandbox demos, and RFP responses showcasing digital banking transformation capabilities. It will be important for you to maintain awareness of key industry trends such as API-first designs, real-time capabilities, persona-driven UX, federated authentication, and multi-country rollout best practices. Experience in multi-theme or multi-tenant design delivery and regulatory alignment would be a strong plus. You will also be supporting implementation or upgrade projects across leading platforms. About Virtusa: At Virtusa, we value teamwork, quality of life, and professional and personal development. Joining our team means becoming a part of a global community of 27,000 professionals who are dedicated to your growth. We are committed to providing exciting projects, opportunities, and exposure to state-of-the-art technologies throughout your career with us. Great minds come together at Virtusa, where collaboration and a team-oriented environment foster new ideas and excellence. If you are looking for a dynamic place to nurture your potential and contribute to innovative solutions, Virtusa is the place for you.,

As an Assistant Vice President, Learning Expert in Global Advisory, you will play a crucial role in developing impactful learning programs that enhance advisory capabilities and deepen understanding of advanced technology solutions like Agentic AI, Gen AI, and Data. Your responsibilities will include leading the design and implementation of comprehensive advisory capability build programs, collaborating with business leaders to evaluate skills gaps, designing learning solutions, tracking and analyzing training program results, and developing metrics to measure effectiveness. You will work closely with internal subject matter experts and vendor ecosystems to deliver relevant and impactful training programs, as well as collaborate with Business, HR, and other L&D professionals to foster a culture of continuous learning and innovation. The ideal candidate for this role is a strategic thinker, results-oriented leader with a passion for talent development, and a deep understanding of advisory/consulting within the professional services landscape. Minimum Required Qualifications / Skills: - Hands-on experience in consulting/advisory functions with a good understanding of roles and responsibilities - Understanding of industry best practices and trends - Proven track record of designing and delivering successful leadership programs for global advisory teams (AVP and Above) - Excellent facilitation, presentation, and communication skills - Ability to work independently and as part of a team with speed and agility - Strong business and project management skills If you are looking to make a significant impact in the learning and development space within the advisory/consulting industry, this role offers a unique opportunity to lead the design and implementation of innovative learning programs that align with organizational goals and objectives.,

Genpact is a global professional services and solutions firm that aims to deliver outcomes that shape the future. With over 125,000 employees across 30+ countries, we are characterized by our innate curiosity, entrepreneurial agility, and commitment to creating lasting value for our clients. Our purpose, the relentless pursuit of a world that works better for people, drives us to serve and transform leading enterprises, including the Fortune Global 500, through our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. We are currently seeking applications for the role of Assistant Vice President, Auto Liability Operations. In this position, you will be tasked with overseeing operations delivery for the BrightClaim Insurance team, a Genpact-owned company that provides solutions for insurance companies in various areas such as daily and catastrophe claims, contents services, flood claims, and auto and liability claims. Your responsibilities will include managing the Insourcing team for content services based in Noida. This team plays a crucial role in determining total claim amounts and providing accurate pricing research for all household contents/items associated with insured losses under Homeowner insurance policies. As the Assistant Vice President, you will be expected to ensure the team meets all client SLAs, build strong relationships with our US teams, drive compliance, and enhance people engagement practices. Additionally, you will lead significant value impact projects for our US teams and clients. Key Responsibilities: - Drive transformation projects focusing on operations, digital asset implementation, standard methodologies framework, case studies, and benchmarking to enhance process efficiency and effectiveness. - Engage with customers to address improvement areas and understand their needs effectively. - Provide direction and coaching to the operations team, promote a learning culture, and ensure goal delivery. - Align with customer goals, consistently deliver on commitments, and proactively mitigate risks. - Build impactful customer relationships, improve Net Promoter Score, maintain existing business, and drive revenue growth. Qualifications: Minimum qualifications: - Understanding of the US P&C Insurance Industry, Auto products, and experience in managing Auto Liability operations. - Strong operating skills in people management, client management, and basic operations. - Knowledge of digital technologies such as RPA, Gen AI, and AWS tools. - Ability to prioritize effectively, manage multiple tasks, and oversee multiple geographies with cultural sensitivity. - Strong negotiation, facilitation, influencing, and consensus-building skills. - Excellent verbal and written communication skills, including the ability to interact confidently with senior leadership. - Experience in evaluating business opportunities and driving performance improvement using lean six sigma framework. - Ability to propose solutions based on client needs and manage engagement staffing levels. Preferred qualifications: - Master's degree in any stream except technical. - Certification in Insurance (e.g., IIA). If you are a dynamic professional with a passion for driving operational excellence and delivering exceptional service in the insurance industry, we invite you to apply for the Assistant Vice President, Auto Liability Operations role at Genpact.,

Qualifications: 3+ years of hand-on experience with .Net Web API development. 3+ years of experience with .Net Core development 3+ year of experience with Azure cloud development. Strong hands-on exposure to various Azure services 2+ Years of Angular/React web-UI development experience. 2+ years of hands-on experience with JavaScript, HTML, and CSS 1+ years of hands-on exp in Generative AI projects Good understanding of how Gen-AI models work. It is good to have a good understanding of business principles and practices. Desired to have a strong understanding of the ethical implications of AI. Able to support in implementing ethical guidelines for the use of Gen-AI. Ensure that AI is used in a responsible and ethical manner. Responsible to assist team on designing, building, and maintaining Gen-AI models and systems. A strong desire to produce quality work, adopt standards and adhere to those standards Must be able to think & innovate out of the box. Provide input to assist with continual improvement. Regularly discuss current workload, issues, concerns, etc. Challenge team members to broaden their thinking about the environment and applications Ensure all work adheres to best practices. Operate & Maintain: Manage the production issues of existing projects along with ongoing initiatives. Standards & Documentation: Accountable for the creation of key standards and documents Ensure documentation, processes and standards are maintained or created for the delivered projects. Experience: 3.9 Yrs- 5 Yrs Work location: Hyderabad. Shift Timings: 11 AM to 8 PM Technical Skills: Must have exposure to React/Angular based UI for AI/Gen-AI projects. Must have exposure to .Net server-side API creation. Must have hands-on exposure to most used Azure Services Ability to develop and maintain high-quality, responsive user interfaces for web applications. Should have exposure to Cloud computing platforms such as Azure for web-application deployment and management. Ability to showcase the technical solution implemented and present it to all stakeholders. Excellent Troubleshooting & Analytical skills Ability to manage / support multiple priorities. Be interested in the new tech stack and complex problems solving. Should be aware of complete software development lifecycle, including analysis, design, configuration, development, and unit testing. Should be able to share the consistent updates to project stakeholders on project risks and able to come up with risk mitigation plans. Designing and implementing Azure based web app solutions. Nice to have: Gen AI Frameworks like LangChain Exposure to Python Web development Roles and Responsibilities: Develop and maintain high-quality, responsive user interfaces for web applications. Develop Scalable and Robust backend APIs aligned with business requirements. Collaborate with designers, product managers, and backend developers to implement and improve UI/UX designs. Conduct code reviews, provide feedback, and mentor junior developers as needed. Should be self-driven individual and always look for future opportunities. Ensuring delivery of work with minimal errors, within agreed time frame. Ensures Stakeholder satisfaction. Demonstrates good communication skills. Generates innovative ideas. Operates effectively in a fast-changing environment. Embraces change. Takes a broad approach to problem solving and decision making by analyzing, thinking ahead and planning. Acts with sense of urgency, practicality, and integrity. Demonstrates ability to make decisions. Contributes to and participates in decision making and creates a participative decision-making environment. Seeks understanding of impacts and monitor and reviews these on an ongoing basis. Holds accountable for ensuring that results are achieved. Demonstrates a strong orientation towards achievement. Provides input to decision making processes. Demonstrates an understanding and appreciation of the cultural diversity present in the global business environment.

-- NO ONLINE INTERVIEW -- We are seeking a skilled AI/ML Engineer proficient in Python to join our dynamic team. In this role, you will collaborate with cross-functional teams to design, develop, and deploy machine learning models and AI systems. You will be responsible for implementing algorithms and workflows that enable our organization to leverage data for insightful decision-making and innovative product solutions. Key Responsibilities:- Develop machine learning models and algorithms using Python and relevant libraries (e.g., Tensor Flow, PyTorch, sci-kit-learn). Collaborate with data engineers to design and implement data pipelines for efficient data processing, analysis, and model training. Apply machine learning techniques to solve complex business problems and optimize existing processes. Work closely with product managers and stakeholders to understand business requirements and translate them into technical solutions. Implement scalable and reliable machine learning infrastructure and productionize models. Stay updated with the latest developments in AI/ML research and apply them to improve our systems continuously. Participate in code reviews, knowledge sharing, and contribute to the overall growth of the AI/ML team.

Note: 1. Immediate to 30 days serving notice period 2.Who are available for face to face and video can apply Please add more profile for LLM engineer for weekend drive, below is the mandatory skills which delivery is looking for: 5+ years of relevant experience in Python , AI and machine learning - 2+ years of relevant experience in Gen AI LLM Hands-on experience with at least 1 end-to-end GenAI project Worked with LLMs such as GPT, Gemini, Claude, LLaMA, etc LLM skills: RAG, LangChain, Transformers, TensorFlow, PyTorch, spaCy Experience with REST API integration (e.g. FastAPI, Flask) Proficient in prompt types: zero-shot, few-shot, chain-of-thought - Knowledge of model training, fine-tuning, and deployment workflows LLMOPs - atleast 1 cloud (AZURE/AWS) , GITHUB , Docker/Kubernetes , CICD Pipeline - Comfortable with embedding models and vector databases (e.g. FAISS, Pinecone)

GEN AI Engineer with Azure and GCP ecosystems 1. Expert in Building complex Gen AI solutions with high accuracy and complex use cases. 2. Expert in Agentic platforms from Pro Code (Autogen, Sementic Kernel, LangGraph) to Low Code (e.g. Crew.ai/ EMA.ai) 3. Expert in Azure OpenAI and Google Vertex AI ecosystems and tooling (from training model, advance prompting, Assistant API, to agent curation) 4. Fluent in Python, Liamiandex, Langchain or other GenAI packages. 5. Strong problem solving skills and attention to details.

Grade Level (for internal use): 10 The Team: Each of our employees plays a vital roleuncovering the essential intelligence that our clients rely on day in and day out to make the decisions that matter. Our entire organization come from all walks of life and all corners of the globe, but they are all committed to the exact same thingmaking a genuine impact with the work that they do. We pursue excellence in everything we do. We value results, encourage teamwork and embrace change. Our team is responsible for the design, architecture, develop, and implement Oracle Financial Cloud applications for the organization wide needs The Impact: Contribute significantly to the growth of the firm by: Build innovative solutions in the new Enterprise-wide Finance Cloud systems with long term value Create solutions with intelligence and customer focused (client first) Responsibilities (must to have) Create technical design documents and develop code using Oracle Cloud technologies In a techno-functional capability, configure setup in Oracle Cloud Financial application modules or execute transactions for unit testing purposes Understand end-to-end solution and integrations in the overall architecture Ensure technical design and development meets security compliance criteria at all time Identify and implement opportunities in the solution that will drive improvements in performance, scalability, reliability and re-usability. Continue to drive down technical debt and cost of operations/support with the latest cutting-edge technologies and newer development methods & strategies. Ensure operational excellence capabilities (usability, availability, resilience, security, etc.) at-all-times Develop solution in accordance to the application architecture and coding standards Work in an Agile team and able to articulate problem statements & solution recommendations with good communication and documentation skills Work with business analysts and developers from other cloud agile scrum teams, like: Ariba, Concur, Workday, Banks, Vertex Operate in a defined scope of development work for projects and deliver per the agreed project timelines Operate in a defined development demands to fulfill business requirements, and to maintain a high-quality status Share knowledge with other members for an efficient work culture and quality solution deliverables Own the deliverables till completion, facilitate smooth workflow for development & service delivery, design document, and support endlessly for smooth implementation Resolve issues with the appropriate design at the right time with the least cost Be up to date with Oracle Cloud latest developments and releases to facilitate a cost-effective and native-to-business-requirement solution Remain knowledgeable of current technology and carry out research to identify new trends that can be used to achieve maximum results What were looking for (Basic Qualifications): Hands-on techno-functional development experience on Oracle ERP Financial Cloud applications. 6+ years of experience in Oracle ERP Financial Cloud application development using Oracle PaaS, such as Visual Builder or Process Builder or Identity Cloud Services (IDCS) or Adapters from Oracle Fusion ERP Basic hands-on experience in Machine Learning or Gen AI will be considered highly advantageous. Experience on Oracle ERP Finance application modules: Account Payables (AP) or Account Receivables (AR) or General Ledger (GL) or Fixed Assets (FA) or Cash Management (CM), Advanced Global Intercompany Systems (AGIS), or Project Portfolio Management (PPM) Experience with REST API, SOAP messaging and integrations with other enterprise applications using Oracle PaaS A minimum of one Oracle Fusion ERP techno-functional development and integration project experience using Oracle Integration Cloud/PaaS Capable to create technical design and develop code for complex requirements Good understanding of development environments and code deployment process Good communication and presentation skills (verbal & written) and be able to articulate the problems and recommended solution to make design decisions with conviction Good understanding of Oracle Unified Method (OUM) Excellent team player, and flexible to work based on projects and deliverable deadlines A Bachelor or Masters degree in Engineering or Business or Finance or Accounting Preferred Qualifications: Working experience with Oracle PaaS adapters integration to Ariba, Box, Concur, Salesforce, Vertex, Cyber-Source, Workday will be an added advantage Working knowledge using Oracle Security Console will be an added advantage Working experience in estimating the effort require to develop code will be an added advantage Knowledge of Informatica Cloud and Informatica Power Center (or any other middleware suite) will be an added advantage Knowledge on Accounting period closing activities and reconciliations of GL with AP, AR, FA, CM, AGIS, or PPM or other financial modules will be an added advantage Knowledge on Agile project implementation methods or usage of Microsoft Azure (VSTS) tool will be an added advantage Knowledge on the latest technologies in Automation, Data Analytics, DevOps and APIs will be an added advantage Knowledge of Oracle Cloud development standards, guidelines, industry trends and best practices across IT enterprise will be an added advantage Any knowledge articles or publications made on Oracle Cloud technologies or implementation methods will be an added advantage All round experience in designing, developing, deploying, testing and maintaining User Interfaces, Reports, System Interfaces, Conversions, Extensions, Workflows will be an added advantage Certification in Oracle Cloud or equivalent in any respective tools/technologies will be an added advantage

Technology skills - Java JDK 11 and higher Java, SQL/Oracle, Spring-Boot with batch configuration Ability to understand and develop code for fixing minor bugs/issues Understands Cloud and DevOps configurations (basic understanding) Unix, shell scripts (basic understanding) Application Health check monitoring, Incident Management Problem Management using ServiceNow Good understanding of Jira/Confluence and GitHub Strong troubleshooting and problem-solving skills Strong written, verbal communication/collaboration skills and ability to manage user/vendor/customer and to work with cross functional teams Collaborate with multiple stakeholders for tech solutioning and bottlenecks removal Ability to assess the impact of production issues & escalate to relevant technology partners and get it resolved at the earliest during extremely time critical regulatory commitments Ability to operate with a limited level of direct supervision & in a time sensitive environment Preferred: Has an understanding of finance/accounting domain Preferred: Prior ECORE working experience Gen AI Tool - Copilot for productivity Mandatory Competencies Programming Language - Java - Core Java (java 8+) Database - Database Programming - SQL Programming Language - Java - Spring Framework Operating System - Operating System - Unix DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - GitLab,Github, Bitbucket Data Science and Machine Learning - Data Science and Machine Learning - Gen AI (LLM, Agentic AI, Gen AI enable tools like Github Copilot) Architecture - Architectural Patterns - Microservices Beh - Communication and collaboration