9 Api Deployment Jobs

Role Overview: At EY, you will have the opportunity to build a career tailored to your uniqueness, with the necessary global support, inclusive culture, and technology to help you become the best version of yourself. Your individual voice and perspective are highly valued to contribute to making EY even better. By joining EY, you will craft an exceptional experience for yourself and contribute to creating a better working world for all. Key Responsibilities: - Convert business problems into analytical problems and develop solution approaches. - Clean, aggregate, analyze, and interpret data to extract valuable business insights. - Lead the AI/ML implementation process, including model design, feature planning, testing, production setup, monitoring, and release management. - Collaborate closely with Solution Architects to deploy AI POCs and scale up to production-level applications. - Utilize Python for data extraction techniques from complex documents like PDFs, Word Docs, and Forms. Qualifications Required: - Bachelor's or Master's degree in data science, Business Analytics, Statistics, Engineering, Operational Research, or related field with a focus on modern data architectures. - Strong proficiency in Python with excellent coding skills. - 4+ years of experience in core data science areas such as Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, SQL/NoSQL Databases, and API Deployment. - Additional skills include excellent communication skills, project management experience, proficiency in firms reporting tools, proactive nature, ability to analyze complex problems, and gather/analyze data from various sources. Company Details: EY is dedicated to building a better working world by creating long-term value for clients, people, and society while fostering trust in the capital markets. With diverse teams in over 150 countries, EY provides assurance and assists clients in growth, transformation, and operations across various sectors. Working at EY offers support, coaching, opportunities for skills development, career progression, and a flexible work environment to ensure personal growth and success.,

As an Apigee Developer at our company, you will play a key role in building scalable, secure, and efficient API solutions. You will be part of a dynamic team where you will be involved in designing, developing, deploying, and monitoring APIs using the Apigee platform. Your responsibilities will include creating API proxies, implementing security policies, managing traffic, and analyzing data on Apigee. You will collaborate with cross-functional teams to understand API requirements and deliver solutions that can scale effectively. Additionally, you will work on implementing authentication and authorization mechanisms using OAuth 2.0, API Key, and JWT. Troubleshooting and resolving performance, reliability, and security issues in APIs will also be part of your responsibilities. Collaboration with DevOps and backend teams to enable CI/CD for API deployments will be crucial, along with maintaining clear documentation for APIs and workflows. To excel in this role, you are expected to have 4 to 10 years of overall software development experience with a minimum of 2 years in Apigee API Management. A strong understanding of RESTful API design principles and best practices is essential. You should be proficient in using Apigee Edge, Apigee hybrid, and Apigee API Gateway policies. Hands-on experience with authentication mechanisms like OAuth, API Key, JSON Web Tokens (JWT), and security protocols is required. Additionally, familiarity with backend integration using JavaScript, Python, or Java is preferred. Exposure to DevOps tools such as Git, Jenkins, and CI/CD pipelines will be beneficial. Knowledge of cloud platforms, especially GCP, is preferred, and experience with AWS/Azure is a plus. Good communication and collaboration skills are also important for this role. In return, we offer a competitive salary and benefits package, a culture focused on talent development with opportunities for promotion and sponsored education/certifications, a chance to work with cutting-edge technologies, employee engagement initiatives, annual health check-ups, and insurance coverage for self, spouse, children, and parents. Our company is dedicated to fostering diversity and inclusion in the workplace, and we encourage applications from all qualified individuals, including those with disabilities and regardless of gender or gender preference. We provide hybrid work options, flexible working hours, and accessible facilities to support employees with physical disabilities. Persistent Ltd. is committed to creating an inclusive environment where all employees can thrive and grow both professionally and personally. We value collaborative innovation, diversity, and work-life wellbeing, offering global opportunities to work and learn with the best in the industry. Join us at Persistent and unleash your full potential in an environment that values your contributions and supports your growth.,

Are you passionate about leveraging AI and data science to transform banking technology Join Infosys Finacle and help drive innovation in the financial services industry! You will have the opportunity to work on cutting-edge AI solutions in partnership with top industry leaders. The role involves proposing innovative solutions and adapting quickly in a dynamic learning environment. You will be responsible for building AI algorithms and designing experiments to merge, manage, and extract actionable insights from large data sets. Using predictive modeling, you will enhance customer experiences, optimize revenue, improve ad targeting, and achieve other business goals. Additionally, developing Explainable and Responsible AI models, conducting research to develop prototypes and proof of concepts, and identifying opportunities to apply data science insights across various teams and functions are key responsibilities. Your enthusiasm for solving complex problems with algorithms will inspire others around you. To excel in this role, you should possess 2 to 10+ years of relevant experience in data science or analytics. Strong analytical and problem-solving skills are essential, along with proficiency in statistical programming languages such as Python, SQL, etc. In-depth knowledge of advanced statistical techniques (regression, distributions, statistical tests, etc.) and experience with machine learning algorithms including regression, simulation, scenario analysis, modeling, clustering, decision trees, and neural networks are required. The ability to deploy models as APIs and excellent communication and presentation skills to convey complex ideas to non-technical stakeholders are also crucial. If you are ready to make an impact in the field of AI and data science, we invite you to email your CV and details to sweta.singh09@infosys.com. The interview process consists of 3 rounds: Online Coding Assessment (120 Mins), Technical Round, and Hiring Manager Round. By joining Infosys Finacle, you will have the opportunity to build core banking platforms used by global financial institutions, learn, grow, and innovate with the best minds in the industry, and be a part of a global digital banking transformation. About Finacle: Finacle is an industry leader in digital banking solutions, partnering with emerging and established financial institutions to inspire better banking. The cloud-native solution suite and SaaS services offered help banks to engage, innovate, operate, and transform better. As a business unit of EdgeVerve Systems, a wholly-owned product subsidiary of Infosys, Finacle is differentiated by its functionally rich solution suite, composable architecture, culture, and entrepreneurial spirit of a start-up. With a track record of helping financial institutions drive digital transformation at speed and scale, Finacle is a trusted partner in the industry. To learn more about Finacle, visit the website at https://www.edgeverve.com/finacle/solutions/. Disclaimer: Edgeverve Systems does not engage with external manpower agencies or charge any fees from candidates for recruitment. If you encounter such scams, please report them immediately.,

Mandatory Skills : Mulesoft API Development Dataweave API design using RAML Cloudhub knowledge API Deployment and testing Nice to have skills : Salesforce integration knowledge Postman SOAP UI API testing automation tools Designing, developing, and maintaining Mulesoft integration solutions. Collaborating with cross-functional teams to gather requirements and implement integration solutions. Ensuring the security, scalability, and performance of Mulesoft applications.

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. As part of EY GDS Assurance Digital, you will be responsible for implementing innovative ideas through AI research to develop high-growth & impactful products. You will be helping EY's sector and service line professionals by developing analytics-enabled solutions, integrating data science activities with business-relevant aspects to gain insight from data. You will work with multi-disciplinary teams across the entire region to support global clients. This is a core full-time AI developer role, responsible for creating innovative solutions by applying AI-based techniques for business problems. As our in-house senior AI engineer, your expertise and skills will be vital in our ability to steer one of our Innovation agenda. **Responsibilities:** - 10-12 years of experience in Data Science - Convert business problems into analytical problems and devise a solution approach. - Clean, aggregate, analyze, and interpret the data to derive business insights from it. - Own the AI/ML implementation process: Model Design, Feature Planning, Testing, Production Setup, Monitoring, and release management. - Work closely with the Solution Architects in deployment of the AI POCs and scaling up to production-level applications. - Should have a solid background in Python and have deployed open-source models. - Work on data extraction techniques from complex PDF/Word Doc/Forms- entities extraction, table extraction, information comparison. **Key Requirements/Skills & Qualifications:** - Excellent academic background, including at a minimum a bachelor's or a master's degree in data science, Business Analytics, Statistics, Engineering, Operational Research, or other related field with a strong focus on modern data architectures, processes, and environments. - Solid background in Python with excellent coding skills. - 6+ years of core data science experience in Machine Learning, Large Language Models, Retriever augmented generation, prompt engineering, Deep Learning, Natural Language Processing, Computer Vision, SQL/NoSQL Databases, API Deployment, and webapps creation. - Additional skills requirements include excellent written, oral, presentation and facilitation skills, project management experience, knowledge of firms reporting tools and processes, proactive, organized, and self-sufficient with the ability to prioritize and multitask. **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 7200+ professionals, in the only integrated global assurance business worldwide. - Opportunities to work with EY GDS Assurance practices globally with leading businesses across a range of industries. **What Working at EY Offers:** 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. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer support, coaching, and feedback from some of the most engaging colleagues around, opportunities to develop new skills and 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 to the complex issues facing our world today.,

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. As part of EY GDS Assurance Digital, you will be responsible for implementing innovative ideas through AI research to develop high-growth & impactful products. You will be helping EY's sector and service line professionals by developing analytics-enabled solutions, integrating data science activities with business-relevant aspects to gain insight from data. You will work with multi-disciplinary teams across the entire region to support global clients. This is a core full-time AI developer role, responsible for creating innovative solutions by applying AI-based techniques for business problems. As our in-house senior AI engineer, your expertise and skills will be vital in our ability to steer one of our Innovation agendas. Requirements (including experience, skills, and additional qualifications): - 10-12 years of experience in Data Science - Convert business problems into analytical problems and devise a solution approach. - Clean, aggregate, analyze, and interpret the data to derive business insights from it. - Own the AI/ML implementation process: Model Design, Feature Planning, Testing, Production Setup, Monitoring, and release management. - Work closely with the Solution Architects in deployment of the AI POCs and scaling up to production-level applications. - Should have a solid background in Python and has deployed on open-source models. - Work on data extraction techniques from complex PDF/Word Doc/Forms - entities extraction, table extraction, information comparison. Key Requirements/Skills & Qualifications: - Excellent academic background, including at a minimum a bachelor's or a master's degree in data science, Business Analytics, Statistics, Engineering, Operational Research, or other related field with a strong focus on modern data architectures, processes, and environments. - Solid background in Python with excellent coding skills. - 6+ years of core data science experience in one or more below areas: - Machine Learning (Regression, Classification, Decision Trees, Random Forests, Timeseries Forecasting, and Clustering) - Understanding and usage of Large Language Models like Open AI models like ChatGPT, GPT4, function calling, frameworks like LangChain, Llama Index, agents, etc. - Retriever augmented generation and prompt engineering. - Good understanding of open-source LLM framework like Mistral, Llama, etc., and fine-tuning on custom datasets. - Deep Learning (DNN, RNN, LSTM, Encoder-Decoder Models) - Natural Language Processing - Text Summarization, Aspect Mining, Question Answering, Text Classification, NER, Language Translation, NLG, Sentiment Analysis. - Computer Vision - Image Classification, Object Detection, Tracking, etc. - SQL/NoSQL Databases and its manipulation components. - Working knowledge of API Deployment (Flask/FastAPI/Azure Function Apps) and web apps creation, Docker, Kubernetes. Additional skills requirements: - Excellent written, oral, presentation, and facilitation skills. - Ability to coordinate multiple projects and initiatives simultaneously through effective prioritization, organization, flexibility, and self-discipline. - Must have demonstrated project management experience. - Knowledge of firm's reporting tools and processes. - Proactive, organized, and self-sufficient with the ability to prioritize and multitask. - Analyses complex or unusual problems and can deliver insightful and pragmatic solutions. - Ability to quickly and easily create/gather/analyze data from a variety of sources. - A robust and resilient disposition able to encourage discipline in team behaviors. 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 7200+ professionals, in the only integrated global assurance business worldwide. - Opportunities to work with EY GDS Assurance practices globally with leading businesses across a range of industries. What working at EY offers: 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. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: - Support, coaching, and feedback from some of the most engaging colleagues around. - Opportunities to develop new skills and progress your career. - The freedom and flexibility to handle your role in a way that's right for you. EY | Building a better working world: 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.,

You are passionate about leveraging AI and data science to transform banking technology. Join Infosys Finacle and contribute to driving innovation in the financial services industry. You will work on cutting-edge AI solutions in collaboration with top industry leaders, proposing innovative solutions and adapting quickly in a dynamic learning environment. Your responsibilities will include building AI algorithms, designing experiments to manage and extract actionable insights from large data sets, and using predictive modeling to enhance customer experiences, optimize revenue, improve ad targeting, and achieve various business goals. You will also develop Explainable and Responsible AI models, conduct research to develop prototypes and proof of concepts, and identify opportunities to apply data science insights across different teams and functions. Your enthusiasm for solving complex problems with algorithms will inspire others in the team. You should have 2 to 10+ years of relevant experience in data science or analytics, along with strong analytical and problem-solving skills. Proficiency in statistical programming languages such as Python, SQL, etc., and in-depth knowledge of advanced statistical techniques like regression, distributions, and statistical tests are required. Experience with machine learning algorithms including regression, simulation, scenario analysis, modeling, clustering, decision trees, and neural networks is essential. You should also be able to deploy models as APIs and possess excellent communication and presentation skills to convey complex ideas to non-technical stakeholders. If you are ready to make an impact, you can email your CV and details to sweta.singh09@infosys.com. The interview process consists of 3 rounds - Online Coding Assessment (120 Mins), Technical Round, and Hiring Manager Round. Infosys Finacle offers you the opportunity to build core banking platforms used by global financial institutions, learn, grow, and innovate with the best minds in the industry, and be a part of a global digital banking transformation. Finacle, an industry leader in digital banking solutions, partners with emerging and established financial institutions to inspire better banking. Their cloud-native solution suite and SaaS services help banks engage, innovate, operate, and transform better. Finacle is a business unit of EdgeVerve Systems, a wholly-owned product subsidiary of Infosys, a global technology leader with over USD 15 billion in annual revenues. Known for their functionally rich solution suite, composable architecture, culture, and entrepreneurial spirit of a start-up, Finacle has an impeccable track record of helping financial institutions drive digital transformation at speed and scale. To learn more about Finacle, visit their website at https://www.edgeverve.com/finacle/solutions/. Disclaimer: Edgeverve Systems does not engage with external manpower agencies or charge any fees from candidates for recruitment. If you encounter such scams, please report them immediately.,

As a skilled API Development Lead, you will play a pivotal role in optimizing the API development lifecycle and enhancing efficiency. Your responsibilities will include identifying bottlenecks, coaching developers on best practices, and implementing tools to streamline processes. You will also be involved in translating business requirements into detailed designs, creating robust APIs, and driving hands-on leadership through code reviews and technical mentorship. Your expertise in promoting API versioning, documentation standards, and security practices will be crucial in ensuring quality and governance. Additionally, you will work on establishing automated quality gates, testing procedures, and CI/CD workflows for APIs. It is essential that you have experience in SAP Integration using Azure, with a focus on API development using .NET and Azure services, and familiarity with Azure API Management. Key Responsibilities: - Identify delivery bottlenecks and inefficiencies in the API development lifecycle. - Coach developers on industry-standard best practices for API design, testing, and deployment. - Introduce tooling, patterns, and accelerators to enhance efficiency. - Translate business requirements into clear detailed designs. - Design robust, scalable, and reusable APIs and integration patterns. - Contribute to code reviews, proofs of concept, and hands-on development. - Provide deep technical mentorship to enhance the team's capabilities. - Promote API versioning, documentation standards, and security practices. - Help establish automated quality gates, testing procedures, and CI/CD workflows. Requirements: - Excellent leadership, communication, and coaching skills. - 10+ years of experience in API development, particularly in enterprise integration contexts involving SAP & eCommerce platforms. - Deep knowledge of RESTful services, JSON, HTTP, authentication protocols, and API gateways. - Experience with event-driven architecture and asynchronous messaging. - Hands-on experience with API development tools and platforms. - Strong background in programming languages such as Node.js and .NET. - Familiarity with Azure Cloud services and related tools. Your role as an API Development Lead will be instrumental in driving innovation, enhancing team capabilities, and ensuring the seamless integration of APIs within enterprise environments.,

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. As part of EY GDS Assurance Digital, you will be responsible for implementing innovative ideas through AI research to develop high-growth & impactful products. You will be assisting EY's sector and service line professionals by developing analytics-enabled solutions, integrating data science activities with business-relevant aspects to gain insights from data. Working with multi-disciplinary teams across the entire region to support global clients is a key aspect of this role. This is a core full-time AI developer role, responsible for creating innovative solutions by applying AI-based techniques for business problems. Your expertise and skills as our in-house senior AI engineer will be vital in steering one of our Innovation agendas. Responsibilities include converting business problems into analytical problems and devising solution approaches, cleaning, aggregating, analyzing, and interpreting data to derive business insights, and owning the AI/ML implementation process. You will also work closely with Solution Architects in deploying AI POCs and scaling up to production-level applications. Key Requirements/Skills & Qualifications: - Excellent academic background in data science, Business Analytics, Statistics, Engineering, Operational Research, or related fields - Strong background in Python with excellent coding skills - 4+ years of core data science experience in Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, SQL/NoSQL databases, API deployment, and web apps creation - Additional skills requirements include project management experience, knowledge of reporting tools and processes, proactive and organized work approach, ability to analyze complex problems and deliver pragmatic solutions, and robust and resilient disposition What we look for: - A team of people with commercial acumen, technical experience, and enthusiasm to learn new things - An opportunity to be a part of a market-leading, multi-disciplinary team of 7200+ professionals - Opportunities to work with EY GDS Assurance practices globally with leading businesses across a range of industries What working at EY offers: - Inspiring and meaningful projects - Education and coaching for personal development - Opportunities for skills development and career progression - Support, coaching, and feedback from engaging colleagues - 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. 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.,