12813 Algorithms Jobs - Page 49

Job Description Controls engineering is responsible for building the next generation firm-wide control plane for our front office desks. The successful candidate will use their deep technical skills to inform the implementation of a highly scalable message driven architecture, processing ~3bn messages per day and making ‘safe to trade’ determinations in real time. The role will also involve building out web applications that allow users to register, develop and administer controls on the platform. Role Overview This role offers the opportunity to work in a competitive & nimble team of implement high performance code using open-source libraries. Candidates will work directly with a variety of stakeholders, including the product managers and Global Banking & Markets risk managers to improve our controls data platform. The team is in London and India focuses on the control data solution for Global Banking & Markets Operational Risk and delivering new features. Use data to guide decision-making, developing or enhancing tools as necessary to collect it. Understand market rules, regulations, exchange service offerings, front to back business functions and build systems to facilitate them. Communication with traders, sales, clients and compliance officers about new systems, feature requests, explanation of existing features etc. Bar raise solution design and ensure development best practices are followed within delivery teams. Job Duties Delivering and designing new features for Control Solutions Team. Investigate incidents to review and redesign existing flows to improve platform stability. Contribute to SDLC documentation and guidance including templates, patterns, and controls. Actively participate as a member of a global team on larger development projects, assume responsibilities of components of global projects, depending on need Collaborate with engineering leadership, developers, and operations through written and verbal presentations. Minimum Education Requirements/Degree And Field Bachelor’s degree Computer Science, Information Technology, or a related field. Minimum Years Experience Required Six (6) years of experience in the job offered or in a related data engineering, software engineering or full-stack software engineering position. Special Skills And/Or Licenses Required To Perform The Job Prior employment must include six (6) year of experience with: Working with software engineering principles and practices Working knowledge of at least 2 High Level Programming Languages like Java or Python Working knowledge of algorithms, data structures and enterprise applications Formulating clear and concise written and verbal descriptions of Software and System for engineering stakeholders and tracking and managing delivery of the same Strong communication skills and the ability to work in a team. Strong analytical and problem-solving skills. Ability to solve high performance engineering problems in a language agnostic manner. Preferred Qualifications Experience with Kubernetes deployment architectures Experience building trading controls within an investment bank. Experience in distributed systems (Kafka, Flink) Experience with UI technologies like React, Javascript Experience in micro services architecture Experience with NoSQL (Mongo, Elastic, Hadoop), in memory (MEMSQL, Ignite), cloud (Snowflake) and relational (DB2, SybaseIQ) data store solutions. Experience in data driven performance analysis and optimizations. About Goldman Sachs At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html © The Goldman Sachs Group, Inc., 2024. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender IdentityABOUT GOLDMAN SACHS Show more Show less

Job Description Oracle Customer Success Services Building on the mindset that "Who knows Oracle …. better than Oracle?" Oracle Customer Success Services assists customers with their requirements for some of the most cutting-edge applications and solutions by utilizing the strengths of more than two decades of expertise in developing mission-critical solutions for enterprise customers and combining it with cutting-edge technology to provide our customers' speed, flexibility, resiliency, and security to enable customers to optimize their investment, minimize risk, and achieve more. The business was established with an entrepreneurial mindset and supports a vibrant, imaginative, and highly varied workplace. We are free of obligations, so we'll need your help to turn it into a premier engineering hub that prioritizes quality. Why? Oracle Customer Success Services Engineering is responsible for designing, building, and managing cutting-edge solutions, services, and core platforms to support the managed cloud business including but not limited to Oracle Cloud Infrastructure (OCI), Oracle Cloud Applications (SaaS) & Oracle Enterprise Applications. This position is for CSS Architecture Team, and we are searching for the finest and brightest technologists as we begin on the road of cloud-native digital transformation. We operate under a garage culture, rely on cutting-edge technology in our daily work, and provide a highly innovative, creative, and experimental work environment. We prefer to innovate and move quickly, putting a strong emphasis on scalability and robustness. We need your assistance to build a top-tier engineering team that has a significant influence. What? As a Principal Data Science & AIML Engineer within the CSS CDO Architecture & Platform team, you’ll lead efforts in designing and building scalable, distributed, resilient services that provide artificial intelligence and machine learning capabilities on OCI & Oracle Cloud Applications for the business. You will be responsible for the design and development of machine learning systems and applications, ensuring they meet the needs of our clients and align with the company's strategic objectives. The ideal candidate will have extensive experience in machine learning algorithms, model creation and evaluation, data engineering and data processing for large scale distributed systems, and software development methodologies. We strongly believe in ownership and challenging the status quo. We expect you to bring critical thinking and long-term design impact while building solutions and products defining system integrations, and cross-cutting concerns. Being part of the architecture function also provides you with the unique ability to enforce new processes and design patterns that will be future-proof while building new services or products. As a thought leader, you will own and lead the complete SDLC from Architecture Design, Development, Test, Operational Readiness, and Platform SRE. Responsibilities As a member of the architecture team, you will be in charge of designing software products, services, and platforms, as well as creating, testing, and managing the systems and applications we create in line with the architecture patterns and standards. As a core member of the Architecture Chapter, you will be expected to advocate for the adoption of software architecture and design patterns among cross-functional teams both within and outside of engineering roles. You will also be expected to act as a mentor and act in capacity as an advisor to the team(s) within the software and AIML domain. As we push for digital transformation throughout the organization, you will constantly be expected to think creatively and optimize and harmonize business processes. Core Responsibilities Lead the development of machine learning models, integration with full stack software ecosystem, data engineering and contribute to the design strategy. Collaborate with product managers and development teams to identify software requirements and define project scopes. Develop and maintain technical documentation, including architecture diagrams, design specifications, and system diagrams. Analyze and recommend new software technologies and platforms to ensure the company stays ahead of the curve. Work with development teams to ensure software projects are delivered on time, within budget, and to the required quality standards. Provide guidance and mentorship to junior developers. Stay up-to-date with industry trends and developments in software architecture and development practices. Required Qualifications Bachelor's or Master's Degree in Computer Science, Machine Learning/AI, or a closely related field. 6+ years of experience in software development, machine learning, data science, and data engineering design. Proven ability to build and manage enterprise-distributed and/or cloud-native systems. Broad knowledge of cutting-edge machine learning models and strong domain expertise in both traditional and deep learning, particularly in areas such as Recommendation Engines, NLP & Transformers, Computer Vision, and Generative AI. Advanced proficiency in Python and frameworks such as FastAPI, Dapr & Flask or equivalent. Deep experience with ML frameworks such as PyTorch, TensorFlow, and Scikit-learn. Hands-on experience building ML models from scratch, transfer learning, and Retrieval Augmented Generation (RAG) using various techniques (Native, Hybrid, C-RAG, Graph RAG, Agentic RAG, and Multi-Agent RAG). Experience building Agentic Systems with SLMs and LLMs using frameworks like Langgraph + Langchain, AutoGen, LlamaIndex, Bedrock, Vertex, Agent Development Kit, Model Context Protocol (MCP)and Haystack or equivalent. Experience in Data Engineering using data lakehouse stacks such as ETL/ELT, and data processing with Apache Hadoop, Spark, Flink, Beam, and dbt. Experience with Data Warehousing and Lakes such as Apache Iceberg, Hudi, Delta Lake, and cloud-managed solutions like OCI Data Lakehouse. Experience in data visualization and analytics with Apache Superset, Apache Zeppelin, Oracle Analytics Cloud or similar. Hands-on experience working with various data types and storage formats, including NoSQL, SQL, Graph databases, and data serialization formats like Parquet and Arrow. Experience with real-time distributed systems using streaming data with Kafka, NiFi, or Pulsar. Strong expertise in software design concepts, patterns (e.g., 12-Factor Apps), and tools to create CNCF-compliant software with hands-on knowledge of containerization technologies like Docker and Kubernetes. Proven ability to build and deploy software applications on one or more public cloud providers (OCI, AWS, Azure, GCP, or similar). Demonstrated ability to write full-stack applications using polyglot programming with languages/frameworks like FastAPI, Python, and Golang. Experience designing API-first systems with application stacks like FARM and MERN, and technologies such as gRPC and REST. Solid understanding of Design Thinking, Test-Driven Development (TDD), BDD, and end-to-end SDLC. Experience in DevOps practices, including Kubernetes, CI/CD, Blue-Green, and Canary deployments. Experience with Microservice architecture patterns, including API Gateways, Event-Driven & Reactive Architecture, CQRS, and SAGA. Familiarity with OOP design principles (SOLID, DRY, KISS, Common Closure, and Module Encapsulation). Proven ability to design software systems using various design patterns (Creational, Structural, and Behavioral). Strong interpersonal skills and the ability to effectively communicate with business stakeholders. Demonstrated ability to drive technology adoption in AIML Solutions and CNCF software stack. Excellent analytical, problem-solving, communication, and leadership skills. Qualifications Career Level - IC4 About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. Show more Show less

Job Description Oracle Customer Success Services Building on the mindset that "Who knows Oracle …. better than Oracle?" Oracle Customer Success Services assists customers with their requirements for some of the most cutting-edge applications and solutions by utilizing the strengths of more than two decades of expertise in developing mission-critical solutions for enterprise customers and combining it with cutting-edge technology to provide our customers' speed, flexibility, resiliency, and security to enable customers to optimize their investment, minimize risk, and achieve more. The business was established with an entrepreneurial mindset and supports a vibrant, imaginative, and highly varied workplace. We are free of obligations, so we'll need your help to turn it into a premier engineering hub that prioritizes quality. Why? Oracle Customer Success Services Engineering is responsible for designing, building, and managing cutting-edge solutions, services, and core platforms to support the managed cloud business including but not limited to Oracle Cloud Infrastructure (OCI), Oracle Cloud Applications (SaaS) & Oracle Enterprise Applications. This position is for CSS Architecture Team, and we are searching for the finest and brightest technologists as we begin on the road of cloud-native digital transformation. We operate under a garage culture, rely on cutting-edge technology in our daily work, and provide a highly innovative, creative, and experimental work environment. We prefer to innovate and move quickly, putting a strong emphasis on scalability and robustness. We need your assistance to build a top-tier engineering team that has a significant influence. What? As a Principal Data Science & AIML Engineer within the CSS CDO Architecture & Platform team, you’ll lead efforts in designing and building scalable, distributed, resilient services that provide artificial intelligence and machine learning capabilities on OCI & Oracle Cloud Applications for the business. You will be responsible for the design and development of machine learning systems and applications, ensuring they meet the needs of our clients and align with the company's strategic objectives. The ideal candidate will have extensive experience in machine learning algorithms, model creation and evaluation, data engineering and data processing for large scale distributed systems, and software development methodologies. We strongly believe in ownership and challenging the status quo. We expect you to bring critical thinking and long-term design impact while building solutions and products defining system integrations, and cross-cutting concerns. Being part of the architecture function also provides you with the unique ability to enforce new processes and design patterns that will be future-proof while building new services or products. As a thought leader, you will own and lead the complete SDLC from Architecture Design, Development, Test, Operational Readiness, and Platform SRE. Responsibilities As a member of the architecture team, you will be in charge of designing software products, services, and platforms, as well as creating, testing, and managing the systems and applications we create in line with the architecture patterns and standards. As a core member of the Architecture Chapter, you will be expected to advocate for the adoption of software architecture and design patterns among cross-functional teams both within and outside of engineering roles. You will also be expected to act as a mentor and act in capacity as an advisor to the team(s) within the software and AIML domain. As we push for digital transformation throughout the organization, you will constantly be expected to think creatively and optimize and harmonize business processes. Core Responsibilities Lead the development of machine learning models, integration with full stack software ecosystem, data engineering and contribute to the design strategy. Collaborate with product managers and development teams to identify software requirements and define project scopes. Develop and maintain technical documentation, including architecture diagrams, design specifications, and system diagrams. Analyze and recommend new software technologies and platforms to ensure the company stays ahead of the curve. Work with development teams to ensure software projects are delivered on time, within budget, and to the required quality standards. Provide guidance and mentorship to junior developers. Stay up-to-date with industry trends and developments in software architecture and development practices. Required Qualifications Bachelor's or Master's Degree in Computer Science, Machine Learning/AI, or a closely related field. 6+ years of experience in software development, machine learning, data science, and data engineering design. Proven ability to build and manage enterprise-distributed and/or cloud-native systems. Broad knowledge of cutting-edge machine learning models and strong domain expertise in both traditional and deep learning, particularly in areas such as Recommendation Engines, NLP & Transformers, Computer Vision, and Generative AI. Advanced proficiency in Python and frameworks such as FastAPI, Dapr & Flask or equivalent. Deep experience with ML frameworks such as PyTorch, TensorFlow, and Scikit-learn. Hands-on experience building ML models from scratch, transfer learning, and Retrieval Augmented Generation (RAG) using various techniques (Native, Hybrid, C-RAG, Graph RAG, Agentic RAG, and Multi-Agent RAG). Experience building Agentic Systems with SLMs and LLMs using frameworks like Langgraph + Langchain, AutoGen, LlamaIndex, Bedrock, Vertex, Agent Development Kit, Model Context Protocol (MCP)and Haystack or equivalent. Experience in Data Engineering using data lakehouse stacks such as ETL/ELT, and data processing with Apache Hadoop, Spark, Flink, Beam, and dbt. Experience with Data Warehousing and Lakes such as Apache Iceberg, Hudi, Delta Lake, and cloud-managed solutions like OCI Data Lakehouse. Experience in data visualization and analytics with Apache Superset, Apache Zeppelin, Oracle Analytics Cloud or similar. Hands-on experience working with various data types and storage formats, including NoSQL, SQL, Graph databases, and data serialization formats like Parquet and Arrow. Experience with real-time distributed systems using streaming data with Kafka, NiFi, or Pulsar. Strong expertise in software design concepts, patterns (e.g., 12-Factor Apps), and tools to create CNCF-compliant software with hands-on knowledge of containerization technologies like Docker and Kubernetes. Proven ability to build and deploy software applications on one or more public cloud providers (OCI, AWS, Azure, GCP, or similar). Demonstrated ability to write full-stack applications using polyglot programming with languages/frameworks like FastAPI, Python, and Golang. Experience designing API-first systems with application stacks like FARM and MERN, and technologies such as gRPC and REST. Solid understanding of Design Thinking, Test-Driven Development (TDD), BDD, and end-to-end SDLC. Experience in DevOps practices, including Kubernetes, CI/CD, Blue-Green, and Canary deployments. Experience with Microservice architecture patterns, including API Gateways, Event-Driven & Reactive Architecture, CQRS, and SAGA. Familiarity with OOP design principles (SOLID, DRY, KISS, Common Closure, and Module Encapsulation). Proven ability to design software systems using various design patterns (Creational, Structural, and Behavioral). Strong interpersonal skills and the ability to effectively communicate with business stakeholders. Demonstrated ability to drive technology adoption in AIML Solutions and CNCF software stack. Excellent analytical, problem-solving, communication, and leadership skills. Qualifications Career Level - IC4 About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. Show more Show less

Avanttec Medical Systems Pvt Ltd is looking for Backend Software Engineers to join our dynamic team and embark on a rewarding career journey. Server - Side Development : Write clean and efficient code in programming languages like Python, Java, Ruby, or Node. js to implement backend functionalities. Database Management : Design and manage databases, including data modeling, indexing, and optimization. API Development : Create and maintain APIs (Application Programming Interfaces) to enable communication between the frontend and backend systems. Data Integration : Integrate external systems and services to interact with the backend application. Security and Authentication : Implement security measures and authentication mechanisms to protect sensitive data and prevent unauthorized access. Scalability : Design backend systems to handle a large number of concurrent users and data processing efficiently. Testing and Debugging : Conduct thorough testing and debugging of backend code to identify and fix issues. Performance Optimization : Optimize backend code and database queries to improve application performance.

Job Description Oracle Customer Success Services Building on the mindset that "Who knows Oracle …. better than Oracle?" Oracle Customer Success Services assists customers with their requirements for some of the most cutting-edge applications and solutions by utilizing the strengths of more than two decades of expertise in developing mission-critical solutions for enterprise customers and combining it with cutting-edge technology to provide our customers' speed, flexibility, resiliency, and security to enable customers to optimize their investment, minimize risk, and achieve more. The business was established with an entrepreneurial mindset and supports a vibrant, imaginative, and highly varied workplace. We are free of obligations, so we'll need your help to turn it into a premier engineering hub that prioritizes quality. Why? Oracle Customer Success Services Engineering is responsible for designing, building, and managing cutting-edge solutions, services, and core platforms to support the managed cloud business including but not limited to Oracle Cloud Infrastructure (OCI), Oracle Cloud Applications (SaaS) & Oracle Enterprise Applications. This position is for CSS Architecture Team, and we are searching for the finest and brightest technologists as we begin on the road of cloud-native digital transformation. We operate under a garage culture, rely on cutting-edge technology in our daily work, and provide a highly innovative, creative, and experimental work environment. We prefer to innovate and move quickly, putting a strong emphasis on scalability and robustness. We need your assistance to build a top-tier engineering team that has a significant influence. What? As a Principal Data Science & AIML Engineer within the CSS CDO Architecture & Platform team, you’ll lead efforts in designing and building scalable, distributed, resilient services that provide artificial intelligence and machine learning capabilities on OCI & Oracle Cloud Applications for the business. You will be responsible for the design and development of machine learning systems and applications, ensuring they meet the needs of our clients and align with the company's strategic objectives. The ideal candidate will have extensive experience in machine learning algorithms, model creation and evaluation, data engineering and data processing for large scale distributed systems, and software development methodologies. We strongly believe in ownership and challenging the status quo. We expect you to bring critical thinking and long-term design impact while building solutions and products defining system integrations, and cross-cutting concerns. Being part of the architecture function also provides you with the unique ability to enforce new processes and design patterns that will be future-proof while building new services or products. As a thought leader, you will own and lead the complete SDLC from Architecture Design, Development, Test, Operational Readiness, and Platform SRE. Responsibilities As a member of the architecture team, you will be in charge of designing software products, services, and platforms, as well as creating, testing, and managing the systems and applications we create in line with the architecture patterns and standards. As a core member of the Architecture Chapter, you will be expected to advocate for the adoption of software architecture and design patterns among cross-functional teams both within and outside of engineering roles. You will also be expected to act as a mentor and act in capacity as an advisor to the team(s) within the software and AIML domain. As we push for digital transformation throughout the organization, you will constantly be expected to think creatively and optimize and harmonize business processes. Core Responsibilities Lead the development of machine learning models, integration with full stack software ecosystem, data engineering and contribute to the design strategy. Collaborate with product managers and development teams to identify software requirements and define project scopes. Develop and maintain technical documentation, including architecture diagrams, design specifications, and system diagrams. Analyze and recommend new software technologies and platforms to ensure the company stays ahead of the curve. Work with development teams to ensure software projects are delivered on time, within budget, and to the required quality standards. Provide guidance and mentorship to junior developers. Stay up-to-date with industry trends and developments in software architecture and development practices. Required Qualifications Bachelor's or Master's Degree in Computer Science, Machine Learning/AI, or a closely related field. 6+ years of experience in software development, machine learning, data science, and data engineering design. Proven ability to build and manage enterprise-distributed and/or cloud-native systems. Broad knowledge of cutting-edge machine learning models and strong domain expertise in both traditional and deep learning, particularly in areas such as Recommendation Engines, NLP & Transformers, Computer Vision, and Generative AI. Advanced proficiency in Python and frameworks such as FastAPI, Dapr & Flask or equivalent. Deep experience with ML frameworks such as PyTorch, TensorFlow, and Scikit-learn. Hands-on experience building ML models from scratch, transfer learning, and Retrieval Augmented Generation (RAG) using various techniques (Native, Hybrid, C-RAG, Graph RAG, Agentic RAG, and Multi-Agent RAG). Experience building Agentic Systems with SLMs and LLMs using frameworks like Langgraph + Langchain, AutoGen, LlamaIndex, Bedrock, Vertex, Agent Development Kit, Model Context Protocol (MCP)and Haystack or equivalent. Experience in Data Engineering using data lakehouse stacks such as ETL/ELT, and data processing with Apache Hadoop, Spark, Flink, Beam, and dbt. Experience with Data Warehousing and Lakes such as Apache Iceberg, Hudi, Delta Lake, and cloud-managed solutions like OCI Data Lakehouse. Experience in data visualization and analytics with Apache Superset, Apache Zeppelin, Oracle Analytics Cloud or similar. Hands-on experience working with various data types and storage formats, including NoSQL, SQL, Graph databases, and data serialization formats like Parquet and Arrow. Experience with real-time distributed systems using streaming data with Kafka, NiFi, or Pulsar. Strong expertise in software design concepts, patterns (e.g., 12-Factor Apps), and tools to create CNCF-compliant software with hands-on knowledge of containerization technologies like Docker and Kubernetes. Proven ability to build and deploy software applications on one or more public cloud providers (OCI, AWS, Azure, GCP, or similar). Demonstrated ability to write full-stack applications using polyglot programming with languages/frameworks like FastAPI, Python, and Golang. Experience designing API-first systems with application stacks like FARM and MERN, and technologies such as gRPC and REST. Solid understanding of Design Thinking, Test-Driven Development (TDD), BDD, and end-to-end SDLC. Experience in DevOps practices, including Kubernetes, CI/CD, Blue-Green, and Canary deployments. Experience with Microservice architecture patterns, including API Gateways, Event-Driven & Reactive Architecture, CQRS, and SAGA. Familiarity with OOP design principles (SOLID, DRY, KISS, Common Closure, and Module Encapsulation). Proven ability to design software systems using various design patterns (Creational, Structural, and Behavioral). Strong interpersonal skills and the ability to effectively communicate with business stakeholders. Demonstrated ability to drive technology adoption in AIML Solutions and CNCF software stack. Excellent analytical, problem-solving, communication, and leadership skills. Qualifications Career Level - IC4 About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. Show more Show less

Job Summary This is a role for Senior ML engineer and data scientist who should have strong AIML knowledge including GenAI and agentic framework and is expected to lead a team of data scientist in technical implementation and coding , solution design , testing and deployment. Key Responsibilities Experience in applying machine learning techniques, Natural Language Processing or Computer Vision using TensorFlow, Pytorch, Gen AI – LLM , AI Agentic framework Strong analytical and problem-solving skills Solid software engineering skills across multiple languages including but not limited to Java or Python, C/C++ Build and deploy end to end ML models and leverage metrics to support predictions, recommendations, search, and growth strategies Deep understanding of ML techniques such as: classification, clustering, deep learning, optimization methods, supervised and unsupervised techniques Proven ability to apply, debug, and develop machine learning models Establish scalable, efficient, automated processes for data analyses, model development, validation and implementation, Choose suitable DL algorithms, software, hardware and suggest integration methods. Ensure AI ML solutions are developed, and validations are performed in accordance with Responsible AI guidelines & Standards To closely monitor the Model Performance and ensure Model Improvements are done post Project Delivery Coach and mentor our team as we build scalable machine learning solutions Strong communication skills and an easy-going attitude Oversee development and implementation of assigned programs and guide teammates Carry out testing procedures to ensure systems are running smoothly Ensure that systems satisfy quality standards and procedures Build and manage strong relationships with stakeholders and various teams internally and externally, Provide direction and structure to assigned projects activities, establishing clear, precise goals, objectives and timeframes, run Project Governance calls with senior Stakeholders Skills And Experience Masters with specialisation in Technology with certification in AI and ML 12- 15 years relevant of Hands-on Experience in developing and delivering AI solutions with strong foundational knowledge on AIML, Python programming language Experience in Gen AI , LLM is mandatory. It will be good to have and agentic framework knowledge. Qualifications Masters with specialisation in Technology with certification in AI and ML About Standard Chartered We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us. Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion. Together We Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term What We Offer In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing. Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations. Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum. Flexible working options based around home and office locations, with flexible working patterns. Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning. Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential. Show more Show less

At BairesDev®, we've been leading the way in technology projects for over 15 years. We deliver cutting-edge solutions to giants like Google and the most innovative startups in Silicon Valley. Our diverse 4,000+ team, composed of the world's Top 1% of tech talent, works remotely on roles that drive significant impact worldwide. When you apply for this position, you're taking the first step in a process that goes beyond the ordinary. We aim to align your passions and skills with our vacancies, setting you on a path to exceptional career development and success. Full Stack Developer (ReactJS + .NET) at BairesDev We are looking for a Full Stack Developer to join our team and help build modern web applications using ReactJS and .NET C#. This role involves working on various aspects of application development, from front-end interfaces to back-end services, and provides an opportunity to enhance your technical skills while contributing to innovative projects. What You'll Do: - Develop and maintain applications using ReactJS and .NET. - Implement responsive user interfaces with modern front-end technologies. - Write clean, efficient code and participate in code reviews. - Troubleshoot and debug applications to ensure optimal performance. - Collaborate with team members to understand project requirements. - Help maintain code quality and implement best practices. - Learn and adopt new technologies and methodologies. What we are looking for: - 3+ years of experience with ReactJS and .NET C#. - Proven experience with APIs and Web Services. - Experience with database technologies. - Advanced knowledge of algorithms and data structures. - Basic IT infrastructure knowledge. - Experience in designing and implementing software modules for real-world applications. - Proficient in writing and implementing unit tests. - Familiarity with CI/CD pipelines. - Advanced level of English. How we do make your work (and your life) easier: - 100% remote work (from anywhere). - Excellent compensation in USD or your local currency if preferred - Hardware and software setup for you to work from home. - Flexible hours: create your own schedule. - Paid parental leaves, vacations, and national holidays. - Innovative and multicultural work environment: collaborate and learn from the global Top 1% of talent. - Supportive environment with mentorship, promotions, skill development, and diverse growth opportunities. Apply now and become part of a global team where your unique talents can truly thrive! Show more Show less

Responsibilities Ensure successful deployment of administrative processes within plants ▪ Deploy standard administrative processes & Office applications within plants. ▪ Support local IS teams and/or outsourcers (level 2 for usage and functional issues). Lead the continuous improvement of office automation applications ▪ Collect & share success stories & best practices. ▪ Improve local administrative & collaborative processes. ▪ Promote innovation (Office automation perimeter), ▪ Train, communicate in a ‘continuous improvement’ mode. Provide support to Group projects and satisfy specific feature request from management ▪ Participate in Group projects (trusted testing for new services and new features, working groups), ▪ Manage feature requests (triage, use cases and business cases formalisation). Required Skill Sets ▪ Able to demonstrates extensive abilities as a team leader ▪ 8-10 years of experience in applying AI to practical and comprehensive technology solutions ▪ Must have experience with ML, Google App Engine, Big Query, Google Data Studio ▪ An understanding of programming constructs (C++, C#, Java, Python, Visual Basic, VBA.net) is preferred ▪ Knowledge of basic algorithms, object-oriented and functional design principles, and best-practice patterns ▪ Identifying areas of improvement / complex processes across Analytics teams which can be automated using office automation tools ▪ Having exposure in Robotic Process Automation (RPA) using Automation Anywhere is preferred ▪ Ability to identify trends, conceptualise reporting formats, write inferences ( commentary) Sales, marketing, Finance, Customer reports ▪ Ability to conceptualise new dashboards and leadership reports based on internal client and business requirements Identify and track content across project ▪ Good Analytical Skills From Functional Technology Perspective ▪ Leading Solution Design, Service Delivery and end-to-end oversight for all Process Automation projects; ▪ Collaborating with Business and Vendor teams ▪ Governing automation projects coordinating with business stakeholders and IT leads ▪ Collaborating with IT and business teams, and provide technical advice and project deliverables as necessary ▪ Facilitating training and product sessions for business users and IT ▪ Developing a framework for automation projects to ensure manageability and maintainability of automation operations from cradle to grave; ▪ Conducting Process Automation High Level Assessments for automation with recommendations for benefits and savings ▪ Understanding current business processes and the ability to learn new business processes quickly ▪ Envisaging how an automated solution will work in the wider business environment, understanding its advantages, effects and impacts ▪ Utilising workflow-based logic, both understanding business processes from a workflow diagram, and illustrating a written process description as a workflow diagram; ▪ Designing, building and implementing process automation solutions using some of the leading RPA/RDA (robotics process/desktop automation) and/or other emerging automation technologies. ▪ Excellent multi-tasking skills required to carry out multiple projects on time ▪ Strong interpersonal skills, Excellent communication skills and the ability to effectively communicate with internal and external customers to understand the specific needs and be able to translate those requirements into a comprehensive functional specification for development People Management: YES ⌧ NO ◻ If People Management, how many employees are managed? Number of people : 2-3 Budget Management: YES ◻ NO ⌧ Show more Show less

Introduction IBM Security Verify is placed in Gartner Leadership Quadrant as a cloud-based Identity and Access Management (IAM) solution that helps organizations manage user identities and access to applications and resources. It provides features like multi-factor authentication, single sign-on, risk-based authentication, and adaptive access as well as user lifecycle journeys along with associated governance, aiming to protect customer, workforce, and privileged identities. The solution also offers identity analytics to provide insights into user behaviour and potential risks. Your Role And Responsibilities Develop and integrate RESTful APIs using Java or GoLang in a cloud-native environment. Contribute to the evolution of microservices-based architectures and containerized deployments (Docker, Kubernetes). Participate in code reviews, write unit/integration tests, and support debugging efforts. Support backend operations including basic monitoring, logging, and troubleshooting under guidance. Define overall testing strategy and objectives aligned with project goals. Develop detailed test plans including scope, approach, resources, schedule, and deliverables, there by ensuring test adequacy. Implement and maintain test automation to ensure product reliability, quality and performance. Review the test-cases, automation code/scripts and test data. Coordinate setup and maintenance of test environments. Ensure timely identification, logging, tracking, and resolution of defects. Coordinate with development and business teams to prioritize and fix bugs. Test components for optimal performance across a vast array of web-capable devices and browsers. Work across Linux and Windows operating systems to ensure broad compatibility and deployment readiness. Collaborate with team members across different layers of the tech stack as well as product management to deliver cohesive, high-performance, high quality features. Translate functional business requirements and technical specifications into reliable and maintainable deliveries. Troubleshoot and resolve production issues in collaboration with other engineers. Drive greenfield initiatives, and influence product direction while mentoring junior engineers across cross-functional teams to shape technical strategy. Actively participate in Agile ceremonies (daily stand-ups, sprint planning, retrospectives) and contribute to continuous improvement. Preferred Education Master's Degree Required Technical And Professional Expertise 15+ years of experience in software development and testing/quality assurance, with a focus on automation and performance scripting. Backend development experience using Java, J2EE, and GoLang. Hands-on experience building or supporting RESTful APIs and integrating backend services. Deep understanding of manual and automated testing techniques (e.g., black box, white box, regression, performance testing). Proficient in testing front-end interfaces built using React, JavaScript (ES6+), HTML5, CSS3, and integrating with backend APIs. Proficiency in automation tools like RestAssured, Selenium, Cucumber, JUnit,etc. Knowledge of performance test tools like JMeter, LoadRunner, or similar tools. Strong at system administration - Linux, Windows, Mac with passion for scripting, coding and automation. Strong understanding of RESTful API design, consumption, and integration across frontend and backend services. Skilled in working with Postgres or other relational databases, including basic query writing and data access patterns. Exposure to microservices principles and containerization using Docker. Hands-on experience in deploying full stack applications on AWS and RedHat OpenShift (OCP/ROSA), with the ability to build end-to-end cloud-native solutions. Hands-on experience with CI/CD pipelines (GitHub Actions, Jenkins), and configuration management using tools like Jira and Git. Experience with monitoring tools suited for full stack observability such as ELK Stack, Instana, and Grafana. Strong testing background with Selenium, JUnit, SonarQube, and frontend testing tools (e.g., Jest, Cypress). Exposure to Shell scripting and Node.js for task automation and lightweight services. Experience working in Agile/Scrum environments, with strong collaboration skills. Exposure to security domain concepts, especially UI-facing aspects like OAuth, CSP, and secure session management, would be added advantage. Effective cross-functional collaboration skills in multi-team, multi-region environments. Preferred Technical And Professional Experience Familiarity with backend architectural design patterns (e.g., microservices, event-driven architecture). Familiarity with API security concepts like OAuth2, JWT, or simple authentication mechanisms. Hands-on experience with cryptographic algorithms, protocols (e.g., TLS, FIPS), and Java security frameworks. Understanding of security vulnerabilities, secure coding practices, implementation of appropriate resolutions and awareness of common vulnerabilities (e.g., OWASP Top 10). Awareness of DevSecOps principles, including interest in integrating security into CI/CD workflows. Exposure to scripting with Shell, Python, or Node.js for backend automation or tooling is a plus. Working knowledge of Section 508 and WCAG accessibility standards. Experience with Carbon Design System or similar UI frameworks. Knowledge and experience in security and privacy by design principles. Enthusiasm for working on scalable systems, learning cloud-native patterns, and improving backend reliability. Ability to create video demos and write blogs on product use-cases. Show more Show less

About the Role: As a Lead Data Scientist, you will independently execute specialized data tasks, focusing on model development, data interpretation, and driving forward the data science agenda. You will leverage advanced algorithms and statistical techniques to unearth insights and guide business decisions. This position is suited for self-driven professionals who excel at transforming raw data into strategic assets and are ready to contribute significantly to data science projects. Responsibilities: Lead the development and deployment of advanced machine learning models. Perform in-depth data analysis to identify actionable insights. Develop and maintain complex data processing pipelines. Collaborate with stakeholders to align data science initiatives with business goals. Drive feature engineering and selection processes. Design and implement scalable data solutions for analytics. Conduct exploratory data analysis to explore new opportunities. Ensure the robustness and reliability of data science projects. Provide guidance on best practices for data science workflows. Stay ahead of trends and continuously improve technical skills and knowledge. Skills: Advanced Statistical Methods: Proficient in applying complex statistical techniques. Machine Learning Expertise: In-depth knowledge of machine learning algorithms and their practical applications. Python/R/SAS: Advanced skills in Python, with knowledge in R or SAS for data analysis. Big Data Technologies: Familiarity with big data tools like Spark and Hadoop. Data Engineering: Proficiency in building and managing data pipelines. Predictive Modeling: Expertise in developing and fine-tuning predictive models. Communication: Excellent ability to translate data insights into business strategies. Project Management: Strong project management skills to oversee data initiatives. Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process. Show more Show less

Description Our customers have immense faith in our ability to deliver packages timely and as expected. A well planned network seamlessly scales to handle millions of package movements a day. It has monitoring mechanisms that detect failures before they even happen (such as predicting network congestion, operations breakdown), and perform proactive corrective actions. When failures do happen, it has inbuilt redundancies to mitigate impact (such as determine other routes or service providers that can handle the extra load), and avoids relying on single points of failure (service provider, node, or arc). Finally, it is cost optimal, so that customers can be passed the benefit from an efficiently set up network. Amazon Shipping is hiring Applied Scientists to help improve our ability to plan and execute package movements. As an Applied Scientist in Amazon Shipping, you will work on multiple challenging machine learning problems spread across a wide spectrum of business problems. You will build ML models to help our transportation cost auditing platforms effectively audit off-manifest (discrepancies between planned and actual shipping cost). You will build models to improve the quality of financial and planning data by accurately predicting ship cost at a package level. Your models will help forecast the packages required to be pick from shipper warehouses to reduce First Mile shipping cost. Using signals from within the transportation network (such as network load, and velocity of movements derived from package scan events) and outside (such as weather signals), you will build models that predict delivery delay for every package. These models will help improve buyer experience by triggering early corrective actions, and generating proactive customer notifications. Your role will require you to demonstrate Think Big and Invent and Simplify, by refining and translating Transportation domain-related business problems into one or more Machine Learning problems. You will use techniques from a wide array of machine learning paradigms, such as supervised, unsupervised, semi-supervised and reinforcement learning. Your model choices will include, but not be limited to, linear/logistic models, tree based models, deep learning models, ensemble models, and Q-learning models. You will use techniques such as LIME and SHAP to make your models interpretable for your customers. You will employ a family of reusable modelling solutions to ensure that your ML solution scales across multiple regions (such as North America, Europe, Asia) and package movement types (such as small parcel movements and truck movements). You will partner with Applied Scientists and Research Scientists from other teams in US and India working on related business domains. Your models are expected to be of production quality, and will be directly used in production services. You will work as part of a diverse data science and engineering team comprising of other Applied Scientists, Software Development Engineers and Business Intelligence Engineers. You will participate in the Amazon ML community by authoring scientific papers and submitting them to Machine Learning conferences. You will mentor Applied Scientists and Software Development Engineers having a strong interest in ML. You will also be called upon to provide ML consultation outside your team for other problem statements. If you are excited by this charter, come join us! Basic Qualifications Experience programming in Java, C++, Python or related language Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Preferred Qualifications Experience using Unix/Linux Experience in professional software development PhD, or a Master's degree and experience building machine learning models or developing algorithms for business application Significant peer reviewed scientific contributions in relevant field Extensive experience applying theoretical models in an applied environment Expertise on a broad set of ML approaches and techniques Prior Experience in Transportation Logistics business Superior verbal and written communication and presentation skills, ability to convey rigorous mathematical concepts and considerations to non-experts Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - Haryana Job ID: A2772425 Show more Show less

At BairesDev®, we've been leading the way in technology projects for over 15 years. We deliver cutting-edge solutions to giants like Google and the most innovative startups in Silicon Valley. Our diverse 4,000+ team, composed of the world's Top 1% of tech talent, works remotely on roles that drive significant impact worldwide. When you apply for this position, you're taking the first step in a process that goes beyond the ordinary. We aim to align your passions and skills with our vacancies, setting you on a path to exceptional career development and success. Full Stack Developer (ReactJS + .NET) at BairesDev We are looking for a Full Stack Developer to join our team and help build modern web applications using ReactJS and .NET C#. This role involves working on various aspects of application development, from front-end interfaces to back-end services, and provides an opportunity to enhance your technical skills while contributing to innovative projects. What You'll Do: - Develop and maintain applications using ReactJS and .NET. - Implement responsive user interfaces with modern front-end technologies. - Write clean, efficient code and participate in code reviews. - Troubleshoot and debug applications to ensure optimal performance. - Collaborate with team members to understand project requirements. - Help maintain code quality and implement best practices. - Learn and adopt new technologies and methodologies. What we are looking for: - 3+ years of experience with ReactJS and .NET C#. - Proven experience with APIs and Web Services. - Experience with database technologies. - Advanced knowledge of algorithms and data structures. - Basic IT infrastructure knowledge. - Experience in designing and implementing software modules for real-world applications. - Proficient in writing and implementing unit tests. - Familiarity with CI/CD pipelines. - Advanced level of English. How we do make your work (and your life) easier: - 100% remote work (from anywhere). - Excellent compensation in USD or your local currency if preferred - Hardware and software setup for you to work from home. - Flexible hours: create your own schedule. - Paid parental leaves, vacations, and national holidays. - Innovative and multicultural work environment: collaborate and learn from the global Top 1% of talent. - Supportive environment with mentorship, promotions, skill development, and diverse growth opportunities. Apply now and become part of a global team where your unique talents can truly thrive! Show more Show less

Overview The Senior Data Science Engineer will leverage advanced data science techniques to solve complex business problems, guide decision-making processes, and mentor junior team members. This role requires a combination of technical expertise in data analysis, machine learning, and project management skills. Responsibilities Data Analysis and Modeling: Analyze large-scale telecom datasets to extract actionable insights and build predictive models for network optimization and customer retention. Conduct statistical analyses to validate models and ensure their effectiveness. Machine Learning Development: Design and implement machine learning algorithms for fraud detection, churn prediction, and network failure analysis. Telecom-Specific Analytics: Apply domain knowledge to improve customer experience by analyzing usage patterns, optimizing services, and predicting customer lifetime value. ETL Processes: Develop robust pipelines for extracting, transforming, and loading telecom data from diverse sources. Collaboration: Work closely with data scientists, software engineers, and telecom experts to deploy solutions that enhance operational efficiency. Data Governance : Ensure data integrity, privacy, security and compliance with industry standards Requirements Advanced degree in Data Science, Statistics, Computer Science, or a related field. Extensive experience in data science roles with a strong focus on machine learning and statistical modeling. Proficiency in programming languages such as Python or R and strong SQL skills. Familiarity with big data technologies (e.g., Hadoop, Spark) is advantageous. Expertise in cloud platforms such as AWS or Azure. Show more Show less

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology. Cadence is a pivotal leader in electronic design, building upon more than 30 years of computational software expertise. The company applies its underlying Intelligent System Design strategy to deliver software, hardware and IP that turn design concepts into reality. Cadence customers are the world’s most innovative companies, delivering extraordinary electronic products from chips to boards to systems for the most dynamic market applications including consumer, hyperscale computing, 5G communications, automotive, aerospace industrial and health. The Cadence Advantage The opportunity to work on cutting-edge technology in an environment that encourages you to be creative, innovative, and to make an impact. Cadence’s employee-friendly policies focus on the physical and mental well-being of employees, career development, providing opportunities for learning, and celebrating success in recognition of specific needs of the employees. The unique “One Cadence – One Team” culture promotes collaboration within and across teams to ensure customer success Multiple avenues of learning and development available for employees to explore as per their specific requirement and interests You get to work with a diverse team of passionate, dedicated, and talented individuals who go above and beyond for our customers, our communities, and each other—every day. Summary: Lead Software Engineer plays a critical role in the development and maintenance of software applications. They are responsible for designing, coding, testing, and debugging programs, as well as collaborating with teams to ensure project success. This role typically involves the following responsibilities: Qualifications BE/BTech/ME/MS/MTech in computer Science Job Summary Exp : 5-7yrs Strong Java development skills with a good understanding of object-oriented design. Strong background of computer science fundamentals (data structures, algorithms) Passionate to learn and explore new technologies and demonstrates good analysis and problem-solving skills. Good written and verbal communication skills, should be a quick learner and a team player Job Responsibilities Design and Development: Work on the full software development life cycle, including designing efficient software architecture, writing clean and efficient code, and ensuring scalability and security. Collaboration: Work closely with cross-functional teams, including product managers, designers, and other developers, to understand requirements and deliver high-quality features. Code Reviews: Participate in and contribute to peer code reviews to maintain code quality and provide mentorship to junior developers. Testing and Debugging: Write unit and integration tests to ensure the reliability of software. Troubleshoot and fix bugs to improve performance and functionality. Continuous Improvement: Stay updated with new technologies and industry trends, recommending process improvements and adopting best practices. We’re doing work that matters. Help us solve what others can’t. Show more Show less

Job Description Oracle Customer Success Services Building on the mindset that "Who knows Oracle …. better than Oracle?" Oracle Customer Success Services assists customers with their requirements for some of the most cutting-edge applications and solutions by utilizing the strengths of more than two decades of expertise in developing mission-critical solutions for enterprise customers and combining it with cutting-edge technology to provide our customers' speed, flexibility, resiliency, and security to enable customers to optimize their investment, minimize risk, and achieve more. The business was established with an entrepreneurial mindset and supports a vibrant, imaginative, and highly varied workplace. We are free of obligations, so we'll need your help to turn it into a premier engineering hub that prioritizes quality. Why? Oracle Customer Success Services Engineering is responsible for designing, building, and managing cutting-edge solutions, services, and core platforms to support the managed cloud business including but not limited to Oracle Cloud Infrastructure (OCI), Oracle Cloud Applications (SaaS) & Oracle Enterprise Applications. This position is for CSS Architecture Team, and we are searching for the finest and brightest technologists as we begin on the road of cloud-native digital transformation. We operate under a garage culture, rely on cutting-edge technology in our daily work, and provide a highly innovative, creative, and experimental work environment. We prefer to innovate and move quickly, putting a strong emphasis on scalability and robustness. We need your assistance to build a top-tier engineering team that has a significant influence. What? As a Principal Data Science & AIML Engineer within the CSS CDO Architecture & Platform team, you’ll lead efforts in designing and building scalable, distributed, resilient services that provide artificial intelligence and machine learning capabilities on OCI & Oracle Cloud Applications for the business. You will be responsible for the design and development of machine learning systems and applications, ensuring they meet the needs of our clients and align with the company's strategic objectives. The ideal candidate will have extensive experience in machine learning algorithms, model creation and evaluation, data engineering and data processing for large scale distributed systems, and software development methodologies. We strongly believe in ownership and challenging the status quo. We expect you to bring critical thinking and long-term design impact while building solutions and products defining system integrations, and cross-cutting concerns. Being part of the architecture function also provides you with the unique ability to enforce new processes and design patterns that will be future-proof while building new services or products. As a thought leader, you will own and lead the complete SDLC from Architecture Design, Development, Test, Operational Readiness, and Platform SRE. Responsibilities As a member of the architecture team, you will be in charge of designing software products, services, and platforms, as well as creating, testing, and managing the systems and applications we create in line with the architecture patterns and standards. As a core member of the Architecture Chapter, you will be expected to advocate for the adoption of software architecture and design patterns among cross-functional teams both within and outside of engineering roles. You will also be expected to act as a mentor and act in capacity as an advisor to the team(s) within the software and AIML domain. As we push for digital transformation throughout the organization, you will constantly be expected to think creatively and optimize and harmonize business processes. Core Responsibilities Lead the development of machine learning models, integration with full stack software ecosystem, data engineering and contribute to the design strategy. Collaborate with product managers and development teams to identify software requirements and define project scopes. Develop and maintain technical documentation, including architecture diagrams, design specifications, and system diagrams. Analyze and recommend new software technologies and platforms to ensure the company stays ahead of the curve. Work with development teams to ensure software projects are delivered on time, within budget, and to the required quality standards. Provide guidance and mentorship to junior developers. Stay up-to-date with industry trends and developments in software architecture and development practices. Required Qualifications Bachelor's or Master's Degree in Computer Science, Machine Learning/AI, or a closely related field. 6+ years of experience in software development, machine learning, data science, and data engineering design. Proven ability to build and manage enterprise-distributed and/or cloud-native systems. Broad knowledge of cutting-edge machine learning models and strong domain expertise in both traditional and deep learning, particularly in areas such as Recommendation Engines, NLP & Transformers, Computer Vision, and Generative AI. Advanced proficiency in Python and frameworks such as FastAPI, Dapr & Flask or equivalent. Deep experience with ML frameworks such as PyTorch, TensorFlow, and Scikit-learn. Hands-on experience building ML models from scratch, transfer learning, and Retrieval Augmented Generation (RAG) using various techniques (Native, Hybrid, C-RAG, Graph RAG, Agentic RAG, and Multi-Agent RAG). Experience building Agentic Systems with SLMs and LLMs using frameworks like Langgraph + Langchain, AutoGen, LlamaIndex, Bedrock, Vertex, Agent Development Kit, Model Context Protocol (MCP)and Haystack or equivalent. Experience in Data Engineering using data lakehouse stacks such as ETL/ELT, and data processing with Apache Hadoop, Spark, Flink, Beam, and dbt. Experience with Data Warehousing and Lakes such as Apache Iceberg, Hudi, Delta Lake, and cloud-managed solutions like OCI Data Lakehouse. Experience in data visualization and analytics with Apache Superset, Apache Zeppelin, Oracle Analytics Cloud or similar. Hands-on experience working with various data types and storage formats, including NoSQL, SQL, Graph databases, and data serialization formats like Parquet and Arrow. Experience with real-time distributed systems using streaming data with Kafka, NiFi, or Pulsar. Strong expertise in software design concepts, patterns (e.g., 12-Factor Apps), and tools to create CNCF-compliant software with hands-on knowledge of containerization technologies like Docker and Kubernetes. Proven ability to build and deploy software applications on one or more public cloud providers (OCI, AWS, Azure, GCP, or similar). Demonstrated ability to write full-stack applications using polyglot programming with languages/frameworks like FastAPI, Python, and Golang. Experience designing API-first systems with application stacks like FARM and MERN, and technologies such as gRPC and REST. Solid understanding of Design Thinking, Test-Driven Development (TDD), BDD, and end-to-end SDLC. Experience in DevOps practices, including Kubernetes, CI/CD, Blue-Green, and Canary deployments. Experience with Microservice architecture patterns, including API Gateways, Event-Driven & Reactive Architecture, CQRS, and SAGA. Familiarity with OOP design principles (SOLID, DRY, KISS, Common Closure, and Module Encapsulation). Proven ability to design software systems using various design patterns (Creational, Structural, and Behavioral). Strong interpersonal skills and the ability to effectively communicate with business stakeholders. Demonstrated ability to drive technology adoption in AIML Solutions and CNCF software stack. Excellent analytical, problem-solving, communication, and leadership skills. Qualifications Career Level - IC4 About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. Show more Show less

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology. Cadence is a pivotal leader in electronic design, building upon more than 30 years of computational software expertise. The company applies its underlying Intelligent System Design strategy to deliver software, hardware and IP that turn design concepts into reality. Cadence customers are the world’s most innovative companies, delivering extraordinary electronic products from chips to boards to systems for the most dynamic market applications including consumer, hyperscale computing, 5G communications, automotive, aerospace industrial and health. The Cadence Advantage The opportunity to work on cutting-edge technology in an environment that encourages you to be creative, innovative, and to make an impact. Cadence’s employee-friendly policies focus on the physical and mental well-being of employees, career development, providing opportunities for learning, and celebrating success in recognition of specific needs of the employees. The unique “One Cadence – One Team” culture promotes collaboration within and across teams to ensure customer success Multiple avenues of learning and development available for employees to explore as per their specific requirement and interests You get to work with a diverse team of passionate, dedicated, and talented individuals who go above and beyond for our customers, our communities, and each other—every day. Job Summary Exp: 8+yrs Strong C/C++ development skills with a good understanding of object-oriented design. Strong background of computer science fundamentals (data structures, algorithms) Passionate to learn and explore new technologies and demonstrates good analysis and problem-solving skills. Good written and verbal communication skills, should be a quick learner and a team player. A knowledge of Verilog language or experience in hardware verification process – an advantage. We’re doing work that matters. Help us solve what others can’t. Show more Show less

About This Role Company Overview: BlackRock is a global leader in investment management, risk management, and advisory services for institutional and retail clients. We help clients achieve their goals and overcome challenges with a range of products, including separate accounts, mutual funds, iShares® (exchange-traded funds), and other pooled investment vehicles. We also offer risk management, advisory, and enterprise investment system services to a broad base of institutional investors through BlackRock Solutions®. Headquartered in New York City, as of February 5, 2025, we handle approximately $11.5 trillion in assets under management (AUM) and have around 19,000 employees in offices across 38 countries, with a significant presence in key global markets, including North and South America, Europe, Asia, Australia, the Middle East, and Africa. Aladdin Data When BlackRock was founded in 1988, the goal was to combine financial services with innovative technology. Today, BlackRock is a leading FinTech platform for investment management and technology services globally. Data is central to the Aladdin platform, differentiating us through our ability to consume, store, analyze, and gain insights from it. The Aladdin Data team maintains a pioneering data platform that delivers high-quality data to users, including investors, operations staff, data scientists, and engineers. Our aim is to provide consistent, high-quality data while evolving our platform to support the firm's growth. We build high-performance data pipelines, enable data discovery and consumption, and continually enhance our data storage capabilities. We are looking for a Software Engineer to join our team and play a critical role in building our next-generation Data & AI platform. In this role, you will work on building AI-driven platform designed for large scale document extraction. Additionally, you will transform existing workflows by integrating cutting-edge large language models, enabling scalable and intelligent automation. Responsibilities Architect and Develop Cutting-Edge Solutions: Design and implement comprehensive, end-to-end solutions for the Data & AI platform, delivering seamless product experiences. Integrate Generative AI into Workflows: Collaborate with cross-functional teams to embed generative AI capabilities into existing workflows. Develop High-Performance APIs: Build and maintain scalable, reliable, and efficient API components that power document extraction systems. Write Clear, Comprehensive Technical Documentation: Produce detailed, easy-to-understand technical documentation to support developers, stakeholders, and end-users. Qualifications Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field. A strong academic background with coursework in data structures, algorithms, and software development is preferred. Have 3+ years of software engineering industry experience Proficiency in building backend using technologies such as Python, Java, or Go. Experience with cloud platforms (e.g. Azure) Experience with AI/ML systems or large language models Have hands-on experience working with large language models and prompt engineering Our Benefits To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about. Our hybrid work model BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock. About BlackRock At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress. This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive. For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock | LinkedIn: www.linkedin.com/company/blackrock BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law. Show more Show less

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Full Stack Developer (.Net, C#, React.Js) Overview We are the global technology company behind the world’s fastest payments processing network. We are a vehicle for commerce, a connection to financial systems for the previously excluded, a technology innovation lab, and the home of Priceless®. We ensure every employee has the opportunity to be a part of something bigger and to change lives. We believe as our company grows, so should you. We believe in connecting everyone to endless, priceless possibilities. Our Team Within Mastercard – Services Within Mastercard Services within Mastercard is responsible for acquiring, engaging, and retaining customers by managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience. We provide value-added services and leverage expertise, data-driven insights, and execution. Data Analytics And AI Solution Within the Services Technology Team, the Data Analytics and AI Solution program that is comprised of a rich set of products that provide accurate perspectives on Portfolio Optimization, Acquirer Optimizer , CDE and Ad Insights. Currently, we are enhancing our customer experience with new user interfaces, utilizing new data sets and algorithms to further enhance analytical capabilities, and generating scalable big data processes. We are looking for an innovative senior software engineering who will be responsible for the design and build of a full stack web application and data pipelines, and thrive in a fast-paced, agile environment. This individual will partner closely with other areas of the business to build and enhance solutions that drive value for our customers. Engineer will work in small, flexible teams. Every team member contributes to designing, building, and testing features. The range of work you will encounter varies from building intuitive, responsive UIs to designing backend data models, architecting data flows, and beyond. Role As a Senior Software Engineer, You Will participate in scoping, design and implementation of complex features. Lead and push the boundaries of analytics and powerful, scalable applications. Design and implement intuitive, responsive UIs that allow issuers/acquirer's/fintech's to better understand data and analytics. Build and maintain analytics and data models to enable performant and scalable products. Ensure a high-quality code base by writing and reviewing performant, well-tested code. Mentor junior software engineers and teammates. Drive innovative improvements to team development processes. Partner with Product Managers and Customer Experience Designers to develop a deep understanding of users and use cases and apply that knowledge to scoping and building new modules and features. Collaborate across teams with exceptional peers who are passionate about what they do. All About You / Ideal Candidate Qualifications 5+ years of full stack engineering experience in an agile production environment. Experience leading the design and implementation of complex features in full-stack applications. Experience leading a large project and working with other developers. Strong technologist eager to learn new technologies and frameworks. The following is a plus: Proficiency with .NET/C#, React, Redux, Typescript, Java JDK 11-17, Spring Boot, Spring Security, Maven, Hibernate / JPA, REST, and SQL Server or other object-oriented languages, front-end frameworks, and/or relational database technologies. Solid experience with RESTful APIs and JSON/SOAP based API. Experience with SQL, Multi-threading, Message Queuing & Distributed Systems. Experience with Design Patterns. Expertise in Junit or other automated unit testing frameworks. Knowledge of Splunk or other alerting and monitoring solutions. Fluent in the use of Git, Jenkins. Knowledge of cloud native development such as cloud foundry, AWS, etc. Customer-centric development approach. Passion for analytical / quantitative problem solving. Ability to identify and implement improvements to team development processes. Strong collaboration skills with experience collaborating across many people, roles, and geographies. Motivation, creativity, self-direction, and desire to thrive on small project teams. Superior academic record with a degree in Computer Science or related technical field. Strong written and verbal English communication skills. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines. R-247610 Show more Show less

Required Skills: C++: Strong proficiency in modern C++ (C++11/14/17/20). CUDA Programming: Extensive experience in developing, debugging, and optimizing CUDA applications. GPU Optimization: Familiarity with memory hierarchy, shared memory, streams, and warp-level operations in CUDA. Parallel Computing: Solid understanding of parallel algorithms and multi-threaded programming. Mathematical and Analytical Skills: Strong foundation in linear algebra, calculus, and numerical methods. Tools: Experience with debugging/profiling tools like Nsight, CUDA Memcheck, or similar Primary Responsibilities: Software Development: Develop and maintain high-performance applications using C++ and CUDA. Design and implement parallel algorithms for GPUs to accelerate computational workloads. Performance Optimization: Optimize CUDA kernels for performance, scalability, and memory efficiency. Analyze performance bottlenecks and propose innovative solutions. Code Review and Testing: Conduct code reviews to ensure adherence to coding standards and best practices. Develop and execute test cases to validate functionality and performance. Collaboration: Work closely with the software engineering and research teams to understand requirements and deliver robust solutions. Provide technical guidance and mentoring to junior team members when necessary. Documentation: Write and maintain technical documentation, including design specifications and user manuals Job Types: Full-time, Permanent Pay: ₹1,000,000.00 - ₹1,400,000.00 per year Schedule: Day shift Morning shift Ability to commute/relocate: Kandivali West, Mumbai, Maharashtra: Reliably commute or planning to relocate before starting work (Required) Application Question(s): This is an onsite (office) job. We are looking for a local MUMBAI candidates only for this role. Are you based out of Mumbai? Experience: C++ (C++11/14/17/20): 4 years (Required) CUDA Programming: 4 years (Required) GPU Optimization: 4 years (Required) Debugging/Profiling tools(Nsight, CUDA Memcheck etc): 4 years (Required) Work Location: In person

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology. Job Description Cadence is a pivotal leader in electronic design, building upon more than 30 years of computational software expertise. The company applies its underlying Intelligent System Design strategy to deliver software, hardware and IP that turn design concepts into reality. Cadence customers are the world’s most innovative companies, delivering extraordinary electronic products from chips to boards to systems for the most dynamic market applications including consumer, hyperscale computing, 5G communications, automotive, aerospace industrial and health. The Cadence Advantage The opportunity to work on cutting-edge technology in an environment that encourages you to be creative, innovative, and to make an impact. Cadence’s employee-friendly policies focus on the physical and mental well-being of employees, career development, providing opportunities for learning, and celebrating success in recognition of specific needs of the employees. The unique “One Cadence – One Team” culture promotes collaboration within and across teams to ensure customer success Multiple avenues of learning and development available for employees to explore as per their specific requirement and interests You get to work with a diverse team of passionate, dedicated, and talented individuals who go above and beyond for our customers, our communities, and each other—every day. Job Summary VPM is a sign-off tool for Low Power Design and Verification in custom mixed-signal IP designs. As a part of the VPM R&D team, you will be responsible for the design, development and maintenance of the cutting-edge products and features for low power design and verification in custom mixed-signal designs. You will be required to apply your software development, data structures and algorithms, skills along with the key concepts of the low power circuit design and verification to write and update, performance efficient code in C++ and Tcl programming languages, debug and fix code issues and develop and maintain unit and feature tests to test the software. The development environment is Linux so familiarity with Linux operating system, and commands, concepts of make file, UNIX shell scripting is also needed. The position also requires creating and reviewing functional specification for new VPM features using Microsoft Office Suite tools. You should be a team player willing to works with other members of the team as well and share your knowledge and learn from others. Knowledge of Low power designs and/or prior experience in EDA tool, QT, GUI and Tcl development would be a plus. Job Responsibilities Responsible for applying software development, data structures and algorithms, skills along with the key concepts of the low power circuit design and verification to design, develop, troubleshoot, and debug start-of-the-art software programs in C/C++/Tcl programming languages and shell scripting in Linux Operating system based development environment Create and review functional specification for new products and features using Microsoft Office Suite or equivalent tools Develop and maintain unit and feature tests to test the software. Improve stability, debug capabilities of the software Work independently and efficiently Works with other members of the team as well and share your knowledge and learn from others Continuously scale solutions (runtime, memory, number of CPUs etc.) to take care of next-generation larger designs Engage with customers as needed and help in creative solutions Qualifications BE/BTech/ME/MS/MTech in Computer Science Engineering or Electrical Engineering or Electronics Engineering Experience And Technical Skills Required Experience required : 2-4yrs Candidate must have experience of complex software development and maintenance using C/C++ Strong background in Software data structures and algorithms Must have excellent debugging skills and ability to separate out the critical issues from trivial ones. Familiarity with following is needed UNIX/Linux development environment, shell scripting, GNU gcc/g++ compilers, linters, linkers, make-file concepts debugging tools like GDB, DDD, or latest IDE, etc. Software memory and run time profiling tools, like valgrind, Kcachegrind, etc., Static analysis tools like ASAN, Parasoft, ASAN, Microsoft Office Suite Experience in one or more of the following flows areas is a big plus: Custom Analog Design and Verification Low power design and Verification in custom mixed signal designs Knowledge of Low Power Specification formats like IEEE1801 (UPF), Liberty, Common Power Format, etc. Digital Implementation flow on advanced nodes EDA tool development Knowledge of QT, GUI and Tcl development Knowledge of scripting languages & Flow development Behavioral Skills Required Must possess strong written, verbal and presentation skills Ability to establish a close working relationship with both customer peers and management Explore what’s possible to get the job done, including creative use of unconventional solutions Work effectively across functions and geographies Push to raise the bar while always operating with integrity We’re doing work that matters. Help us solve what others can’t. Show more Show less

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology. Cadence is a pivotal leader in electronic design, building upon more than 30 years of computational software expertise. The company applies its underlying Intelligent System Design strategy to deliver software, hardware and IP that turn design concepts into reality. Cadence customers are the world’s most innovative companies, delivering extraordinary electronic products from chips to boards to systems for the most dynamic market applications including consumer, hyperscale computing, 5G communications, automotive, aerospace industrial and health. The Cadence Advantage The opportunity to work on cutting-edge technology in an environment that encourages you to be creative, innovative, and to make an impact. Cadence’s employee-friendly policies focus on the physical and mental well-being of employees, career development, providing opportunities for learning, and celebrating success in recognition of specific needs of the employees. The unique “One Cadence – One Team” culture promotes collaboration within and across teams to ensure customer success Multiple avenues of learning and development available for employees to explore as per their specific requirement and interests You get to work with a diverse team of passionate, dedicated, and talented individuals who go above and beyond for our customers, our communities, and each other—every day. Job Summary Strong C/C++ development skills with a good understanding of object-oriented design. Strong background of computer science fundamentals (data structures, algorithms) Passionate to learn and explore new technologies and demonstrates good analysis and problem-solving skills. Good written and verbal communication skills, should be a quick learner and a team player. We’re doing work that matters. Help us solve what others can’t. Show more Show less

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology. Cadence is a pivotal leader in electronic design, building upon more than 30 years of computational software expertise. The company applies its underlying Intelligent System Design strategy to deliver software, hardware and IP that turn design concepts into reality. Cadence customers are the world’s most innovative companies, delivering extraordinary electronic products from chips to boards to systems for the most dynamic market applications including consumer, hyperscale computing, 5G communications, automotive, aerospace industrial and health. The Cadence Advantage The opportunity to work on cutting-edge technology in an environment that encourages you to be creative, innovative, and to make an impact. Cadence’s employee-friendly policies focus on the physical and mental well-being of employees, career development, providing opportunities for learning, and celebrating success in recognition of specific needs of the employees. The unique “One Cadence – One Team” culture promotes collaboration within and across teams to ensure customer success Multiple avenues of learning and development available for employees to explore as per their specific requirement and interests You get to work with a diverse team of passionate, dedicated, and talented individuals who go above and beyond for our customers, our communities, and each other—every day. Job Summary Strong C/C++ development skills with a good understanding of object-oriented design. Strong background of computer science fundamentals (data structures, algorithms) Passionate to learn and explore new technologies and demonstrates good analysis and problem-solving skills. Good written and verbal communication skills, should be a quick learner and a team player. We’re doing work that matters. Help us solve what others can’t. Show more Show less

Our Company Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Opportunity Adobe is looking for an experienced cloud software engineer to join the Adobe Experience platform team. We’re seeking candidates to help us design, build and run high traffic, critically important back end services that drive business for the world’s top brands. You will build and own critical parts of the services and deliver to production. We are looking for a passionate Cloud Software Engineer with high potential, eager to learn new technologies and to help us design, build and operate our industry leader platform at scale. What You Will Do Responsible for multiple phases of engineering - from early specs, design/architecture, technology choice, development, unit-testing/integration automation, and deployment. Collaborate with architects, product management and other engineering teams to build the technical vision, and road map for the team. Build technical specifications, prototypes and presentations to communicate your ideas. Be proficient in emerging industry technologies and trends, and have the ability to communicate that knowledge to the team and use it to influence product direction. Apply innovation and creativity to solve engineering and coding problems using new and emerging tech like GenAI. What You Need To Succeed B.Tech / M.Tech in Computer Science & Engineering or a related field. 4-6 years of experience in software development and automation. Skilled and experienced in Java / ReactJava with the ability to produce clean, performant and maintainable Object oriented code. Strong computer science fundamentals, OOPS, Data Structures, Algorithms and performance optimization. Excellent understanding of the SDLC, Agile Development, Microservice design, CI/CD processes etc. Knowledge of Azure, AWS, JavaScript and familiarity with RESTful APIs, Docker, Jenkins, Splunk, Git etc. Knowledge of GenAI tools and technology would be a bonus. Should be able to quickly adapt to new programming paradigms, languages, tools, and problem areas. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more about our vision here. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015. Show more Show less

Job Title: Software Engineer (Java) Experience: 2–4 Years Location: Ahmedabad Position Overview: We are in search of a talented and motivated Software Engineer, proficient in Java. This role presents an exciting opportunity for an individual passionate about software development to contribute to impactful projects, collaborate with experienced professionals, and enhance their skills in a dynamic work environment. Role & Responsibility: • Collaborate with Tech Leads to design, develop, and maintain software products using Java. • Apply foundational principles of Object-Oriented Programming (OOPs) in Java to deliver efficient and scalable solutions. • Assist in implementing Java fundamentals such as concurrency, logging, and error handling to contribute to robust codebases. • Follow industry-standard practices throughout the software development lifecycle, ensuring the delivery of high-quality software solutions. • Participate in debugging activities to identify and resolve issues in multithreaded applications promptly. • Utilize Java and Vert.x framework for event-driven application development. • Implement message queue architecture using Kafka for efficient data processing and communication. • Demonstrate proficiency in data structures and algorithms to optimize software performance. • Engage actively within Agile or similar product methodologies to deliver innovative solutions in a timely manner. • Utilize version control systems like Git and build systems such as Jenkins, Maven, or similar tools. • Assist in developing Microservices and gain exposure to AWS services like EC2, Lambda, S3, and CloudWatch. • Collaborate with the team to understand API management platforms, design standards, and best practices. Skills and Qualifications: • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. • 2-4 years of hands-on experience in software design and development using Java. • Proficiency in applying OOPs principles and basic design patterns in Java. • Familiarity with Java fundamentals including concurrency, logging, and error handling is a plus. • Basic understanding of debugging techniques in multithreading applications. • Knowledge of data structures and algorithms. • Exposure to Agile or similar product development methodologies. • Familiarity with version control systems (e.g., Git) and build systems (e.g., Jenkins, Maven). • Experience with Kafka for message queue architecture. • Familiarity with Vert.x framework for event-driven application development is advantageous. • Experience with AWS services and Microservices architecture is advantageous. • Strong problem-solving skills and attention to detail. • Effective communication and collaboration abilities. • Ability to thrive in a fast-paced and collaborative environment. Show more Show less

Job Description Oracle Customer Success Services Building on the mindset that "Who knows Oracle …. better than Oracle?" Oracle Customer Success Services assists customers with their requirements for some of the most cutting-edge applications and solutions by utilizing the strengths of more than two decades of expertise in developing mission-critical solutions for enterprise customers and combining it with cutting-edge technology to provide our customers' speed, flexibility, resiliency, and security to enable customers to optimize their investment, minimize risk, and achieve more. The business was established with an entrepreneurial mindset and supports a vibrant, imaginative, and highly varied workplace. We are free of obligations, so we'll need your help to turn it into a premier engineering hub that prioritizes quality. Why? Oracle Customer Success Services Engineering is responsible for designing, building, and managing cutting-edge solutions, services, and core platforms to support the managed cloud business including but not limited to Oracle Cloud Infrastructure (OCI), Oracle Cloud Applications (SaaS) & Oracle Enterprise Applications. This position is for CSS Architecture Team, and we are searching for the finest and brightest technologists as we begin on the road of cloud-native digital transformation. We operate under a garage culture, rely on cutting-edge technology in our daily work, and provide a highly innovative, creative, and experimental work environment. We prefer to innovate and move quickly, putting a strong emphasis on scalability and robustness. We need your assistance to build a top-tier engineering team that has a significant influence. What? As a Principal Data Science & AIML Engineer within the CSS CDO Architecture & Platform team, you’ll lead efforts in designing and building scalable, distributed, resilient services that provide artificial intelligence and machine learning capabilities on OCI & Oracle Cloud Applications for the business. You will be responsible for the design and development of machine learning systems and applications, ensuring they meet the needs of our clients and align with the company's strategic objectives. The ideal candidate will have extensive experience in machine learning algorithms, model creation and evaluation, data engineering and data processing for large scale distributed systems, and software development methodologies. We strongly believe in ownership and challenging the status quo. We expect you to bring critical thinking and long-term design impact while building solutions and products defining system integrations, and cross-cutting concerns. Being part of the architecture function also provides you with the unique ability to enforce new processes and design patterns that will be future-proof while building new services or products. As a thought leader, you will own and lead the complete SDLC from Architecture Design, Development, Test, Operational Readiness, and Platform SRE. Responsibilities As a member of the architecture team, you will be in charge of designing software products, services, and platforms, as well as creating, testing, and managing the systems and applications we create in line with the architecture patterns and standards. As a core member of the Architecture Chapter, you will be expected to advocate for the adoption of software architecture and design patterns among cross-functional teams both within and outside of engineering roles. You will also be expected to act as a mentor and act in capacity as an advisor to the team(s) within the software and AIML domain. As we push for digital transformation throughout the organization, you will constantly be expected to think creatively and optimize and harmonize business processes. Core Responsibilities Lead the development of machine learning models, integration with full stack software ecosystem, data engineering and contribute to the design strategy. Collaborate with product managers and development teams to identify software requirements and define project scopes. Develop and maintain technical documentation, including architecture diagrams, design specifications, and system diagrams. Analyze and recommend new software technologies and platforms to ensure the company stays ahead of the curve. Work with development teams to ensure software projects are delivered on time, within budget, and to the required quality standards. Provide guidance and mentorship to junior developers. Stay up-to-date with industry trends and developments in software architecture and development practices. Required Qualifications Bachelor's or Master's Degree in Computer Science, Machine Learning/AI, or a closely related field. 6+ years of experience in software development, machine learning, data science, and data engineering design. Proven ability to build and manage enterprise-distributed and/or cloud-native systems. Broad knowledge of cutting-edge machine learning models and strong domain expertise in both traditional and deep learning, particularly in areas such as Recommendation Engines, NLP & Transformers, Computer Vision, and Generative AI. Advanced proficiency in Python and frameworks such as FastAPI, Dapr & Flask or equivalent. Deep experience with ML frameworks such as PyTorch, TensorFlow, and Scikit-learn. Hands-on experience building ML models from scratch, transfer learning, and Retrieval Augmented Generation (RAG) using various techniques (Native, Hybrid, C-RAG, Graph RAG, Agentic RAG, and Multi-Agent RAG). Experience building Agentic Systems with SLMs and LLMs using frameworks like Langgraph + Langchain, AutoGen, LlamaIndex, Bedrock, Vertex, Agent Development Kit, Model Context Protocol (MCP)and Haystack or equivalent. Experience in Data Engineering using data lakehouse stacks such as ETL/ELT, and data processing with Apache Hadoop, Spark, Flink, Beam, and dbt. Experience with Data Warehousing and Lakes such as Apache Iceberg, Hudi, Delta Lake, and cloud-managed solutions like OCI Data Lakehouse. Experience in data visualization and analytics with Apache Superset, Apache Zeppelin, Oracle Analytics Cloud or similar. Hands-on experience working with various data types and storage formats, including NoSQL, SQL, Graph databases, and data serialization formats like Parquet and Arrow. Experience with real-time distributed systems using streaming data with Kafka, NiFi, or Pulsar. Strong expertise in software design concepts, patterns (e.g., 12-Factor Apps), and tools to create CNCF-compliant software with hands-on knowledge of containerization technologies like Docker and Kubernetes. Proven ability to build and deploy software applications on one or more public cloud providers (OCI, AWS, Azure, GCP, or similar). Demonstrated ability to write full-stack applications using polyglot programming with languages/frameworks like FastAPI, Python, and Golang. Experience designing API-first systems with application stacks like FARM and MERN, and technologies such as gRPC and REST. Solid understanding of Design Thinking, Test-Driven Development (TDD), BDD, and end-to-end SDLC. Experience in DevOps practices, including Kubernetes, CI/CD, Blue-Green, and Canary deployments. Experience with Microservice architecture patterns, including API Gateways, Event-Driven & Reactive Architecture, CQRS, and SAGA. Familiarity with OOP design principles (SOLID, DRY, KISS, Common Closure, and Module Encapsulation). Proven ability to design software systems using various design patterns (Creational, Structural, and Behavioral). Strong interpersonal skills and the ability to effectively communicate with business stakeholders. Demonstrated ability to drive technology adoption in AIML Solutions and CNCF software stack. Excellent analytical, problem-solving, communication, and leadership skills. Qualifications Career Level - IC4 About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. Show more Show less