4 Generative Components Jobs nearby Bangalore

Role Overview: You will be the Associate Director of Machine Learning Platforms at Myntra, responsible for leading the development and expansion of the company's cutting-edge ML platform. Your main objective will be to create an integrated platform that streamlines the ML lifecycle, enabling data scientists and ML engineers to enhance efficiency, accelerate time-to-market, and maintain Myntra's position as a leader in fashion and technology. This role involves building and managing high-performing engineering teams in a dynamic and fast-paced environment, with a focus on driving AI-powered growth and operational excellence throughout the organization. Key Responsibilities: - Strategy & Leadership: - Define and own the technical roadmap and architectural vision for the entire MLOps lifecycle, including feature engineering, model serving, and monitoring. - Implement the ML platform strategy, overseeing core components like the feature store, model registry, and experiment tracking frameworks. - Foster a data-driven culture by collaborating with Engineering, ML, and Insights teams. - Cross-Functional Collaboration: - Work closely with Data Scientists to understand modeling needs and translate them into robust platform capabilities. - Engage with key stakeholders across Product, Marketing, and Operations to drive data governance, quality, and compliance. - Team Leadership: - Build and lead high-performing machine learning engineering teams. - Mentor and guide senior ML engineers on technical challenges. - Set and monitor OKRs & KPIs to deliver high-impact, reliable data and ML solutions. - Operational Excellence: - Ensure the reliability, scalability, and cost-effectiveness of the ML platform. - Monitor platform performance and resource utilization, identifying and resolving bottlenecks. - Optimize cloud infrastructure, preferably on Azure, for efficiency and performance. - Innovation: - Stay updated on industry trends and advancements in AI/ML, such as LLMs, Generative AI, and new MLOps tools. - Lead research and development efforts, conduct Proof of Concepts (POCs), and introduce new technologies to solve business problems. Qualifications: - Bachelors or Masters degree in Computer Science, Engineering, or related ML field. - 14+ years of professional experience in software or data engineering, with at least 5+ years in a senior leadership role managing a large team. - Minimum of 5+ years of hands-on experience as a Machine Learning Engineer. - Proven experience (minimum 3 years) in an architect or lead role focused on building and scaling ML platforms. - Experience in a high-scale e-commerce or tech-driven company is highly preferred. Required Skills: - Deep MLOps Expertise: Designing and implementing a complete MLOps stack in a production environment. - Big Data & Feature Engineering: Expertise with distributed data processing technologies like Apache Spark, and building feature stores. - Cloud and Distributed Systems: Strong knowledge of a major cloud platform (preferably Microsoft Azure/GCP) and distributed systems architecture. - Orchestration & Deployment: Understanding of containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines for ML models. - ML Frameworks: Hands-on knowledge of popular ML frameworks such as PyTorch, TensorFlow, and scikit-learn. - Generative AI: Experience with modern Generative AI technologies, including Large Language Models (LLMs), RAG, and vector databases. - Technical Leadership: Track record of leading engineering teams, defining architectural best practices, and making impactful technical decisions.,

As a Financial Close, Consolidation, and Reporting Project Leader at Capgemini, you will play a crucial role in implementing Oracle Financial Consolidation and Close Cloud Services (FCCS). Your responsibilities will include: - Leading discussions on project requirements - Analyzing financial close, consolidation, and reporting requirements - Designing detailed components of the FCCS solution - Mentoring the development team during complex situations - Coordinating with clients and driving discussions for design sign-offs - Supporting User Acceptance Testing (UAT) activities and production deployment To excel in this role, you should have experience in the following areas: - Hyperion Financial Management (HFM), FDM/FDMEE, HFR/Smart View, and FCCS - Designing and implementing HFM and FCCS technologies - Knowledge of financial close, consolidation, and reporting processes - Strong oral and written communication skills Working at Capgemini offers you the opportunity to shape your career with a range of career paths and internal opportunities within the Capgemini group. You will receive personalized career guidance from leaders and comprehensive wellness benefits, including health checks, telemedicine, insurance, elder care, partner coverage, and new parent support through flexible work arrangements. Additionally, you will have access to one of the industry's largest digital learning platforms, offering 250,000+ courses and numerous certifications. About Capgemini: Capgemini is a global business and technology transformation partner, facilitating organizations" transition to a digital and sustainable world. With a diverse team of over 340,000 members in more than 50 countries, Capgemini leverages its 55-year heritage to deliver end-to-end services and solutions in AI, generative AI, cloud, and data. Trusted by clients worldwide, Capgemini addresses a broad range of business needs with its deep industry expertise and partner ecosystem. Ref. code: 294990-en_GB Posted on: 28 Nov 2025 Experience level: Experienced Professionals Contract type: Permanent Locations: Bangalore, Mumbai, Pune, Chennai (ex Madras), Hyderabad Business unit: I and D Global Business Line Brand: Capgemini,

Role Overview: As the Director of Digital Analytics at Albertsons Companies India, your main responsibility will be to establish and lead the analytics and insights capability for the India GCC. You will play a crucial role in shaping the future of data-driven decision-making across Albertsons" digital ecosystem, focusing on areas such as personalization, ecommerce, loyalty, and marketing. Your leadership will involve building a high-performing team that develops innovative BI solutions, advanced analytics models, and AI tools to drive measurable impact at scale. Key Responsibilities: - **Strategic Leadership & Organization Building:** - Build and lead the Analytics & Insights organization within the GCC, including hiring, mentorship, and career development for analysts, data scientists, and engineers. - Define the strategic vision, operating model, and success metrics for analytics delivery from India, ensuring alignment with global digital priorities. - Foster a culture of innovation, data curiosity, and experimentation to contribute to both delivery and R&D initiatives in AI and analytics. - **Analytics, Insights & Business Intelligence:** - Develop and oversee enterprise-scale reporting and BI frameworks to track performance across customer engagement, marketing effectiveness, fulfillment, and loyalty. - Lead the creation of advanced analytics and predictive models for personalization, churn, retention, offer optimization, and operational performance. - Drive data democratization by building self-service analytics tools and automated dashboards for global stakeholders. - Champion data storytelling, translating complex data into clear, actionable insights for senior leaders and business partners. - **AI, Agentic Automation & Decision Intelligence:** - Lead the design and deployment of agentic AI solutions that deliver autonomous insights and decision recommendations. - Partner with AI engineering teams to implement LLM-based analytics copilots for marketers, product managers, and operators. - Scale the use of predictive and generative AI for campaign targeting, dynamic personalization, and fulfillment optimization. - Build reusable AI components and APIs that integrate with enterprise platforms and decision workflows. - **Data Infrastructure, Engineering & Scalability:** - Collaborate with data platform teams to ensure modern, scalable, cloud-based analytics architecture (Snowflake, Databricks, dbt, Airflow, Power BI/Tableau). - Oversee the design of data models and pipelines supporting marketing, ecommerce, and customer analytics use cases. - Define data quality, governance, and lineage standards to ensure accuracy and consistency across global datasets. - Partner with enterprise data teams to evolve shared capabilities in data access, observability, and platform reliability. - **Global Collaboration & Stakeholder Partnership:** - Serve as a strategic analytics partner to digital, marketing, and ecommerce leaders across the US and India. - Translate business needs into analytics and automation opportunities that drive measurable ROI. - Influence senior stakeholders with thought leadership on AI adoption, measurement frameworks, and customer data strategy. - Represent the GCC as a center of excellence for insights, innovation, and scalable analytics delivery. Qualifications: - **Experience:** - 15+ years of experience in analytics, BI, or data science, with at least 5+ years in leadership roles building global or GCC-based teams. - Demonstrated success in scaling analytics capabilities that support digital, marketing, or customer-focused businesses. - Hands-on experience delivering AI/ML-driven insights, reporting modernization, and data platform evolution. - Proven ability to operate in a matrixed global organization, influencing strategy and execution. - **Skills:** - Deep knowledge of modern analytics and data platforms (Snowflake, Databricks, Power BI/Tableau, Python, SQL). - Exposure to agentic AI frameworks or LLM applications in analytics workflows. - Strong understanding of customer analytics, marketing performance, and loyalty measurement. - Exceptional leadership, communication, and stakeholder management skills. - Strategic mindset with a track record of balancing delivery with innovation and capability building. **Preferred:** - Experience in retail, ecommerce, or customer analytics environments. - Familiarity with marketing and personalization ecosystems (e.g., Adobe, Salesforce, Google Cloud).,

As an Algorithms Engineer at Oblivious, you will play a crucial role in designing and implementing the core components of differential privacy (DP) systems. Your main responsibilities will involve translating mathematical theory into production-ready code to ensure privacy guarantees are practical and efficient. Key Responsibilities: - Implement and analyse privacy loss accountants such as RDP and zCDP, and convert them to (, )-DP. Calibrate and apply noise mechanisms like Gaussian and Laplace based on sensitivity analysis. - Develop algorithms for static and dynamic sensitivity analysis of relational operators in the Differentially Private SQL Engine. Build query rewriting logic to inject calibrated noise and manage a per-user privacy budget ledger. - Utilize Python AST manipulation and static analysis for Compiler & Static Analysis to enforce a DP-safe execution environment, preventing private information leakage from user-submitted code. - Implement and benchmark state-of-the-art algorithms for high-dimensional synthetic data generation in DP Synthetic Data, analyzing privacy-utility trade-offs. Qualifications Required: - Strong foundation in probability, statistics, and linear algebra with proficiency in statistical modeling, proving bounds, and reasoning about error/variance. - Proficiency in Python for scientific computing, including considerations for numerical stability like floating-point precision, clipping, and scaling. - Demonstrated ability to translate mathematical concepts from academic papers or technical specifications into robust, well-tested code. Desirable Skills: - Direct experience with differential privacy concepts or libraries like OpenDP, SmartNoise, TensorFlow Privacy. - Knowledge of compiler design, abstract syntax trees (ASTs), or program analysis. - Experience with machine learning, noise models, statistical learning theory, or generative models. - Familiarity with SQL parsers or database internals. In addition to the challenging role, you will enjoy benefits such as Private Health Insurance, Paid Time Off, Work From Home flexibility with one required in-office anchor week every six weeks for deep collaboration and planning, and Training & Development opportunities. Oblivious is committed to equal opportunity for all and follows a privacy policy for handling personal data during the candidate evaluation process.,

As a Salesforce Architect, you will be responsible for leading the design and implementation of Salesforce solutions. You must have a strong technical background and a minimum of 6+ years of experience. Your role will involve managing large-scale, end-to-end Salesforce implementations. **Responsibilities:** - Develop, build, implement, and support new Salesforce Data Cloud projects, including exposure to Einstein Generative AI/Agent force/Einstein co-pilot. - Drive end-to-end project execution with analysis, documentation, solutions, testing, and performance that meets the expectations of the business. - Identify and confirm technical design risks and develop mitigating approaches. - Participate in technical design workshops with the wider Salesforce Team, IT and Engineering Teams, and the business stakeholders. - Ensure technical documentation is kept up to date, following any system changes and new project implementations. - Collaborate closely with the Product Development and IT business applications teams on technologies that interface with CRM systems. - Translate and communicate technical requirements and solutions for the business using story-based narratives, as well as presenting the strategy and recommendations to executives. - Develop and run User Acceptance Testing with training and documentation. - Follow Cognizant project planning methodologies and Agile development process for successful, timely delivery of projects. - Review and take ownership of legacy debt and APIs on systems and design, present, and implement new solutions that are both efficient for our business and cost-effective. - Utilize knowledge of new & upcoming features in the Salesforce ecosystem to provide recommendations for greater efficiencies. - Ensure that systems are kept safe, secure, and compliant in alignment with our corporate policies and standards. **Qualifications Required:** - Full-time bachelor's degree in technology track - 7 to 9 years of technical experience - Minimum 6 months to one-year hands-on Salesforce Data Cloud experience in real-time projects - Salesforce Data Cloud Consultant certification is highly desired - Strong understanding of customer data platforms and modern data infrastructure - Experience with standard and extensible functionality of Salesforce Sales, Service, or Marketing Clouds - Knowledge of Apex, Visualforce & Lightning Web Component - Integration experience using both Web-based technologies (SOAP, REST) - Experience with integration tools such as Informatica/Jitterbit/MuleSoft,

As a Software Engineer at Cisco Wireless, you will have the opportunity to contribute to the design, development, and integration of embedded software for Cisco's next-generation wireless platforms. You will collaborate with teams to deliver high-quality solutions and leverage Generative Artificial Intelligence tools to enhance efficiency and accelerate development workflows. **Key Responsibilities:** - Develop and maintain software components for wireless platforms such as access points and controllers. - Write efficient and reliable C/C++ & Python code for embedded systems. - Possess a good understanding of Bluetooth, BLE, and Zigbee IoT technologies, with working experience on these IoT stacks preferred. - Participate in system bring-up, protocol feature development, performance tuning, and bug fixing. - Utilize Generative Artificial Intelligence tools (e.g., GitHub Copilot, Windsurf, Cursor) for streamlined code development and reviews. - Collaborate with hardware and QA teams to ensure software integration and testability. - Optionally contribute to automated test frameworks or validation tools as required. **Required Skills:** - 4+ years of first-hand software development experience, preferably in embedded systems or networking. - Proficiency in C/C++ and Python programming languages. - Good understanding of Bluetooth, BLE, and Zigbee IoT technologies, with working experience on these IoT stacks preferred. - Strong grasp of TCP/IP networking, system-level debugging, and Linux-based environments. - Experience with version control, build systems, and debugging tools. - Exposure to Generative AI tools for development or a willingness to adopt them. - Strong analytical skills, a growth mindset, and effective communication and teamwork abilities in multifunctional settings. **Bonus Points:** - Experience with 802.11/Wi-Fi protocols or wireless feature development. - Familiarity with kernel modules, network stack tuning, or real-time performance debugging. - Exposure to CI/CD pipelines or system integration test environments. - Knowledge of cloud-managed wireless solutions or network controllers. - Interest or experience in automation or validation frameworks. If you are passionate about embedded systems, wireless networking, and enjoy solving real-world challenges, this role at Cisco Wireless is tailored for you. Cisco is a global leader in networking technologies, revolutionizing data and infrastructure connectivity in the AI era and beyond. Join us in creating innovative solutions that empower the collaboration between humans and technology across the physical and digital realms.,

As a Senior Generative AI Architect with 12-15 years of experience in AI/ML, including hands-on work with LLMs (Large Language Models) and Generative AI solutions, your role will involve designing and overseeing the development of advanced GenAI platforms and solutions that revolutionize business operations and customer experiences. Key Responsibilities: - Lead the design and development of scalable GenAI solutions using LLMs, diffusion models, and multimodal architectures. - Architect end-to-end pipelines with prompt engineering, vector databases, retrieval-augmented generation (RAG), and LLM fine-tuning. - Select and integrate foundational models like GPT, Claude, LLaMA, Mistral based on business requirements and technical limitations. Technical Strategy & Leadership: - Define GenAI architecture blueprints, best practices, and reusable components for rapid development and experimentation. - Guide teams on model evaluation, inference optimization, and cost-effective scaling strategies. - Stay updated on the rapidly evolving GenAI landscape and evaluate emerging tools, APIs, and frameworks. Collaboration & Delivery: - Identify high-impact GenAI use cases across domains like customer support, content generation, document understanding, and code generation. - Support PoCs, pilots, and production deployments of GenAI models in secure, compliant environments. - Collaborate with MLOps and cloud teams to facilitate continuous delivery, monitoring, and governance of GenAI systems. Required Qualifications & Experience: - Education: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related field. PhD is a plus. - Experience: 12-15 years in AI/ML and software engineering, with at least 3 years focused on Generative AI and LLM-based architectures. Core Skills: - Profound knowledge in machine learning, natural language processing (NLP), and deep learning architectures. - Hands-on experience with LLMs, transformers, fine-tuning techniques (LoRA, PEFT), and prompt engineering. - Proficiency in Python, utilizing libraries/frameworks like Hugging Face Transformers, LangChain, OpenAI API, PyTorch, TensorFlow. - Familiarity with vector databases (e.g., Pinecone, FAISS, Weaviate) and RAG pipelines. - Strong grasp of cloud-native AI architectures (AWS/GCP/Azure), containerization (Docker/Kubernetes), and API integration. Architectural & Leadership Skills: - Demonstrated ability to design and deliver scalable, secure, and efficient GenAI systems. - Excellent communication skills to facilitate cross-functional collaboration and stakeholder engagement. - Capability to mentor engineering teams and foster innovation across the AI/ML ecosystem.,

You will be responsible for the following in the role of Mid level Gen AI fullstack: - Designing and building scalable, full-stack applications using Node.js and Python - Developing and integrating chatbot solutions using both custom-built and third-party platforms such as Dialogflow and Oracle Digital Assistant - Creating responsive and accessible UI components using HTML, CSS, and JavaScript - Collaborating with AI/ML teams, UX designers, and product owners to deliver intelligent and user-centric chatbot and Gen AI features - Integrating OpenAI APIs (and similar LLMs) into applications for advanced conversational and generative capabilities - Applying prompt engineering techniques to fine-tune and optimize LLM behavior for specific business use cases - Designing and implementing Retrieval-Augmented Generation (RAG) pipelines to enable real-time, grounded responses using external data sources - Building and managing RESTful APIs and handling backend processing to ensure seamless data flow - Troubleshooting, debugging, and optimizing performance across the tech stack, particularly with AI features in production - Writing clean, maintainable, and testable code and contributing to peer code reviews - Working in an agile environment with a focus on delivery, experimentation, and continuous improvement You should have the following qualifications for the position: - 5-6 years of experience - Proficiency in Gen AI fullstack, Azure cloud, and Python Please note that this job is a remote position with an immediate to 15 days notice period.,

As a Backend Engineer specializing in Generative AI infrastructure, your primary responsibility will be to design and develop scalable backend services to support AI and Generative AI workloads. You will play a crucial role in building and optimizing RESTful and GraphQL APIs for model inference, prompt processing, and data access. Additionally, you will create modular backend components for high-performance, scalable AI operations. Your collaboration with AI engineers for integrating and deploying Generative AI models will be essential, especially in implementing retrieval-augmented generation (RAG) pipelines using vector databases like Pinecone, Weaviate, FAISS, or Milvus. Optimizing AI model serving and inference with frameworks like TensorFlow Serving, TorchServe, FastAPI, or custom endpoints will also be part of your key responsibilities. Key Responsibilities: - Design and develop scalable backend services to support AI and Generative AI workloads - Build and optimize RESTful and GraphQL APIs for model inference, prompt processing, and data access - Create modular backend components for high-performance, scalable AI operations - Collaborate with AI engineers to integrate and deploy Generative AI models in production - Implement retrieval-augmented generation (RAG) pipelines using vector databases - Optimize AI model serving and inference with frameworks like TensorFlow Serving, TorchServe, FastAPI, or custom endpoints Qualifications Required: - Bachelor's or Master's degree in Computer Science, IT, AI, or a related field - Certifications in AI/ML, Cloud Architecture, or Backend Development are a plus The company is seeking a Backend Engineer with 1.5 to 3 years of experience in backend engineering, API design, and AI model integration, particularly in the realm of Generative AI applications. Your familiarity with languages such as Python, Node.js, and Java, along with backend frameworks like FastAPI, Flask, Django, Express.js, and Spring Boot is crucial. Experience with LLMs, diffusion models, transformer models, databases (PostgreSQL, MongoDB, etc.), vector databases, infrastructure tools (Docker, Kubernetes, etc.), monitoring tools, and API technologies is highly desirable. Additionally, soft skills such as problem-solving abilities, communication skills, attention to detail, and curiosity for emerging AI technologies are valued in this role.,

Role Overview: You will be a Backend Engineer focusing on AI-driven systems, specifically in developing and maintaining scalable infrastructures for Generative AI applications. Your role will involve backend engineering, API design, and integration of AI models like LLMs, diffusion models, and multimodal AI systems. Experience in enterprise-level systems, especially in banking or financial services, is advantageous. Key Responsibilities: - Design and develop scalable backend services to support AI and Generative AI workloads. - Build and optimize RESTful and GraphQL APIs for model inference, prompt processing, and data access. - Create modular backend components for high-performance, scalable AI operations. - Collaborate with AI engineers to integrate and deploy Generative AI models in production. - Implement retrieval-augmented generation (RAG) pipelines using vector databases like Pinecone, Weaviate, FAISS, or Milvus. - Develop secure APIs for AI-driven services, ensuring proper version control, authentication, and scalability. - Set up backend environments using Docker, Kubernetes, and CI/CD pipelines for automated deployments. - Optimize server performance for AI workloads through caching, queuing, and load balancing techniques. - Collaborate with AI/ML engineers, data scientists, frontend developers, and DevOps teams. - Contribute to architecture discussions, backend documentation, and process improvements. Qualification Required: - Bachelor's or Master's degree in Computer Science, IT, AI, or related field. - Experience with Python, Node.js, Java programming languages. - Familiarity with FastAPI, Flask, Django, Express.js, Spring Boot backend frameworks. - Knowledge of LLMs, diffusion models, transformer models, and prompt engineering. - Proficiency in PostgreSQL, MongoDB, Redis, Elasticsearch databases. - Experience with Docker, Kubernetes, Jenkins, GitLab CI/CD, AWS Lambda, ECS, or GCP Cloud Run for infrastructure and DevOps. - Understanding of Prometheus, Grafana, ELK Stack, New Relic for monitoring. - Knowledge of REST, GraphQL, gRPC for API technologies. - Preferred qualifications include experience in AI product backend systems or enterprise software, familiarity with AI pipeline orchestration tools, and understanding of model lifecycle management and compliance standards. Additional Details: Omit this section.,

As a Salesforce Application Developer, you will be responsible for designing, developing, and supporting scalable solutions across Sales Cloud & Marketing Cloud. Your role will focus on building and enhancing sales automation processes, marketing journeys, and customer/partner portal experiences. You will collaborate with cross-functional teams to deliver user-centric solutions through custom development, configuration, and system integration. Ideal candidates will have strong technical expertise in Apex, Lightning Web Components, AMP script, and Salesforce platform capabilities. Your role will require building with an AI-first mindset, leveraging Salesforce AI and Agentic AI to deliver predictive lead scoring, dynamic campaign personalization, intelligent partner engagement, and automation of repetitive sales and marketing workflows. Key Responsibilities: - Design and develop custom Salesforce solutions across Sales Cloud & Marketing Cloud to support sales processes, campaign execution, and external portal experiences. - Build and customize Lightning Web Components (LWC), Apex classes, triggers, Flows, and REST APIs to meet complex business requirements. - Develop and configure Sales Cloud features such as opportunity management, lead routing, approval processes, sales automation, and dashboards. - Implement Marketing Cloud journeys using Journey Builder, Email Studio, and Automation Studio; develop AMP script and SQL queries for dynamic content and segmentation. - Integrate AI/Agentic AI features such as Einstein Bots, Next Best Action, AI-based lead scoring, partner performance prediction, and automated content generation across Experience Cloud, Sales Cloud, and Marketing Cloud workflows. - Collaborate with business analysts, architects, and UX designers to translate user stories and wireframes into technical solutions. - Integrate Salesforce with third-party systems (e.g., ERP, PIMS, marketing tools, analytics) using APIs or middleware platforms (e.g. Boomi). - Ensure adherence to Salesforce development best practices, code reviews, security standards, and change management processes. - Support system testing, performance tuning, and deployment activities in development and production environments. - Provide ongoing support, troubleshooting, and enhancement for existing applications and user-reported issues. Qualifications: - Bachelor's degree in computer science, Information Systems, or a related field; relevant work experience considered in lieu of degree. - 6+ years of hands-on Salesforce development experience, with demonstrated expertise in Sales Cloud, Marketing Cloud, and Experience Cloud. - Proficient in Apex, Lightning Web Components (LWC), SOQL/SOSL, Visualforce, and Flow Builder. - Strong knowledge of Sales Cloud capabilities like lead/opportunity management, automation rules, and analytics. - Deep familiarity with Marketing Cloud, including Journey Builder, Email Studio, AMPscript, segmentation, and SQL-based personalization. - Exposure to AI features in Salesforce such as Einstein AI, Agentic AI tools, and generative AI integrations for partner and customer experiences. - Familiarity with Salesforce API integration and authentication methods (REST/SOAP, Named Credentials, OAuth). - Salesforce certifications preferred (e.g., Platform Developer I/II, Sales Cloud Consultant, Marketing Cloud Specialist, Experience Cloud Consultant). - Knowledge of Agile development methodologies and version control tools (e.g., Git, Copado, Gearset). - Strong analytical, problem-solving, and communication skills. - Demonstrated ability to innovate and deliver impactful technical solutions in a fast-paced, evolving business environment. - Proven track record of implementing innovative technology solutions that drive business value.,

You will play a crucial role in the design and development of Python-based software components for AI-driven systems. Your responsibilities include: - Defining and maintaining coding standards, best practices, and architectural principles such as OOP, SOLID, and design patterns. - Collaborating with AI/ML engineers to integrate and productionize Machine Learning, Deep Learning, and Generative AI models. - Architecting and developing scalable RESTful APIs and backend systems using FastAPI or equivalent frameworks. - Advocating for performance optimization, testability, and non-functional requirements (NFRs) across all solutions. - Championing CI/CD practices, observability, and maintaining system reliability at scale. - Mentoring junior engineers to foster a culture of high-quality, maintainable software development. - Contributing to solution design for Retrieval-Augmented Generation (RAG) and Agentic AI workflows. Qualifications Required: - Bachelor's or Master's degree in Computer Science, Engineering, or a related field. - 8+ years of hands-on experience in backend software development, with significant expertise in Python. - Proven experience in leading and mentoring software development teams. - Strong command over software architecture, design patterns, and clean coding principles. - Experience in building and scaling API-based systems, preferably with FastAPI or similar frameworks. - Solid understanding of integrating ML/DL/GenAI models into production applications. - Familiarity with RAG, single and multi-agent architectures, and AI solution patterns. - Practical experience with AWS (Sagemaker, Bedrock) and/or Azure (ML Studio, OpenAIq Service). - Exposure to MLOps, model versioning, and observability tools. - Working knowledge of Java or Rust is a plus. - Experience designing software systems for cloud-native environments. - Prior experience working in the Power and Energy domain. - Familiarity with scalable data processing, real-time systems, or event-driven architectures. - Exposure to open-source tools and frameworks in the GenAI ecosystem (e.g., LangGraph, LlamaIndex, SmolAgents). - Deep commitment to quality, performance, and engineering excellence.,

Role Overview: Join the Gen AI Experiences team within the Adobe Experience Platform, where you'll contribute to building cloud-native backend services that power Generative AI-driven experiences across Adobe Experience Cloud. This is a hands-on development role for engineers eager to work on high-scale distributed systems and learn how AI and data-driven capabilities are transforming digital marketing and customer experiences. You'll work alongside senior engineers and architects who will mentor and guide you as you grow your expertise in Java, cloud, and AI-integrated services. Key Responsibilities: - Develop and maintain Java-based microservices and APIs supporting AI and data workflows. - Collaborate with senior engineers to design, implement, test, and deploy new service features. - Participate in code reviews, design discussions, and sprint planning to ensure quality and alignment. - Build and improve cloud-native services using modern frameworks (Spring Boot, Docker, Kubernetes). - Contribute to integration and testing of AI/ML components in collaboration with data and ML teams. - Write clean, efficient, and well-documented code with a focus on maintainability and performance. - Investigate and resolve production issues, driving improvements in reliability and observability. - Stay updated with emerging tools, frameworks, and AI technologies to enhance your skills continually. Qualifications Required: - Bachelors degree or equivalent experience in Computer Science, Engineering, or a related field. - 2-4 years of professional experience in software development using Java. - Solid understanding of object-oriented design, algorithms, and data structures. - Hands-on experience with Spring Boot or similar frameworks for building RESTful APIs. - Familiarity with cloud services (AWS, Azure, or GCP) and containerization (Docker, Kubernetes). - Basic understanding of microservices architecture and CI/CD pipelines. - Exposure to AI/ML concepts or eagerness to learn how AI systems are built and deployed. - Strong problem-solving, debugging, and communication skills. - A growth mindset with enthusiasm for learning from peers and contributing to a high-impact AI team. (Note: The additional details of the company provided in the job description have been omitted for brevity.),

Role Overview: You will be joining EY as a GDS Consulting AI Leader specializing in Generative AI. Your main responsibility will be to demonstrate strong AI capabilities in rapidly emerging Generative AI and lead in areas of growth. You will be designing and executing blueprints for hyper growth in key offerings under various FoPs, scaling the current AI team, and strategically steering AI investment areas. Additionally, you will be partnering with regions to solution and win large engagements related to Generative AI, integrating AI components with existing D&A and IA teams, and driving skilling initiatives within the AI team. Key Responsibilities: - Demonstrate strong AI capability in rapidly emerging Generative AI and lead in areas of growth - Design and execute blueprints for hyper growth in key offerings under various FoPs - Scale the current AI team of 200 to 750 by FY 25 to support D&A growth story - Partner with regions to solution and win large engagements related to Generative AI - Integrate AI component with existing D&A, IA team to build solid capability around AI & ML - Initiate infusion of AI into GDS offerings by collaborating with leaders in Technology Consulting & Business Consulting - Demonstrate thought leadership by active participation in DnA, AI & IA forums globally - Lead Analyst Surveys with leading global analysts like Gartner, Forrester, IDC - Drive skilling initiatives in AI team, including training programs, certifications & POCs - Demonstrate strong next-gen technology acumen to establish credibility with Area / Regional market leaders in AI & ML Qualification Required: - Minimum of bachelor's degree in Computer Science, Software Engineering, Information Systems Management, Accounting, Finance, or a related field with 20+ years of experience - Experience in management consulting and IT advisory consulting organizations is a huge plus - Experience of managing practice/accounts with HC above 500+ would be a huge plus Company Details: EY exists to build a better working world, helping to create long-term value for clients, people, and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform, and operate. Working across assurance, consulting, law, strategy, tax, and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.,

As a member of the team at SAP, you will be contributing to building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work culture. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from. **Key Responsibilities:** - Candidates with experience in Artificial Intelligence technologies are especially welcome, including working with large language models (LLMs), generative AI (GenAI), and the ability to develop and operationalize AI capabilities using SAP AI Core. **Qualifications Required:** - Familiarity with working on SAP Sales Cloud - Sales and Retail Execution topics such as Sales Order, Sales Quote, Sales Contract, Survey, Perfect Store, Pricing, Library Management, and Product Lists. - Proficiency in integrating solutions with core processes of SAP Sales Cloud and SAP S/4 HANA. - Experience in developing solutions using event-driven microservice architecture involving open-source technologies and components like Java, Angular, K8s, Kafka, MongoDB, and Elastic Search. At SAP, our innovations help over four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. We have evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. With a cloud company mindset and a commitment to personal development, we believe in unleashing all talent and creating a better and more equitable world. SAP's culture of inclusion, focus on health and well-being, and flexible working models ensure that everyone, regardless of background, feels included and can perform at their best. We believe in investing in our employees to inspire confidence and help everyone realize their full potential. As an equal opportunity workplace, SAP is committed to providing accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance, please send an email with your request to the Recruiting Operations Team at Careers@sap.com. Successful candidates may be required to undergo a background verification with an external vendor.,

As an SDET QA Automation Engineer in Benchmark & Index Management at LSEG, you will be responsible for automating Quality Assurance (QA) processes for business-critical applications. You will develop high-quality test software to address complex user interfaces, data-intensive operations, and process hand-offs. Your technical expertise and ownership will be crucial in the end-to-end software delivery cycle. Key Responsibilities: - Contribute and lead testing efforts through high-quality functional and automation test scenarios - Identify, prioritize, and perform tasks in the software development lifecycle - Develop tools and applications for automation using Python-based test frameworks - Automate tSQL Stored Procedure regression, component, and unit tests utilizing tSQLt and pytest - Utilize Generative AI and Machine Learning for data validation, anomaly detection, and automatic test case generation - Perform database and process performance testing using benchmarking frameworks and AI-based anomaly detection - Advocate for and implement engineering guidelines such as automation, code reviews, and CI/CD - Ensure high-quality, reliable products through automated regression test frameworks - Collaborate closely with business and engineering partners for product delivery - Drive a culture of engineering excellence through mentorship and peer reviews - Continuously evaluate and enhance QA processes for improved efficiency and product quality Qualifications Required: - Over 5 years of experience as a Software Developer in Test in large-scale data-intensive platforms - Strong experience in test case design and automation testing using Python frameworks - Proficiency in QA and Test Automation suites like pytest and pandas - Experience with MS-SQL or PostgreSQL for data analysis and test script execution - Proficiency in Python (C# .NET or Java experience is beneficial) - Experience in AI/ML and Data Science technologies for anomaly detection - Familiarity with performance, security, and non-functional testing approaches - Solid understanding of AWS cloud technologies, particularly AWS EC2 - Experience in software engineering principles, CI/CD tools, and automation processes In addition, LSEG is a leading global financial markets infrastructure and data provider with a culture focused on Integrity, Partnership, Excellence, and Change. Working at LSEG means being part of a diverse workforce that values collaboration, creativity, and sustainability. Join us in re-engineering the financial ecosystem to support sustainable economic growth.,

As a Design Lead at Supertails, you will play a crucial role in shaping the visual identity and user experience of the brand. Your core mandate includes: - Building modular design systems that scale across 20+ teams - Leading visual thinking from brief to rollout - Integrating generative AI into smart, daily design workflows - Maintaining quality, tightening turnaround time, and inspiring the team In addition, you will be responsible for: - Designing cross-channel frameworks that bring the brand to life - Creating scalable components, tokens, and guidelines - Unifying the experience across platform, campaigns, clinics, packaging & performance Your role will also involve identifying use cases for automation & generative design, exploring tools such as Midjourney, Runway, Canva Studio, etc., and championing an internal culture of Design x AI experimentation and upskilling. As a creative leader, you will define the visual direction for marquee campaigns & products, lead learning sessions, shape junior & senior talent, and review and raise quality across various design elements. Collaboration with stakeholders from different teams will be key, as you co-own KPIs with Category, Product, Healthcare & Retention teams, and partner with Designers, Brand Managers, Copywriters & Motion Artists to bring ideas to life while aligning brand intent with platform execution. Success in this role will be reflected in: - Target backed assets week on week that look like one brand - CTR, CVR, NPS uplifts across campaigns - On-time sprints with

As a Senior Machine Learning Engineer at Walmart Global Tech, you will be responsible for designing and deploying AI systems using LLMs, RAG frameworks, and advanced agentic techniques. Your role will involve: - **AI Development & Agentic Frameworks:** - Designing and implementing Generative AI solutions utilizing RAG for summarization and knowledge retrieval. - Building and integrating LLM-based agents that utilize vector search technologies to provide dynamic, real-time responses. - Fine-tuning and optimizing models for specific business needs and tasks. - **System Design & Scalability:** - Contributing to building scalable, distributed systems that integrate machine learning pipelines. - Translating high-level designs into detailed solutions, including mock-ups, pseudo-code, and modular components. - Designing and implementing MVPs to validate and refine AI-driven features. - **Collaboration & Integration:** - Supporting architectural decisions to ensure alignment with both functional and non-functional requirements. - Participating in code reviews and ensuring adherence to best practices. - **Leadership & Mentorship:** - Driving technical direction for large-scale AI initiatives and mentoring junior engineers. - Establishing best practices for building and maintaining AI-driven systems. **Qualifications Required:** - 6+ years of experience in machine learning engineering, with a focus on Generative AI and NLP. - Proficiency in Python, ML frameworks (PyTorch, TensorFlow), and NLP libraries like Hugging Face Transformers. - Hands-on experience with RAG frameworks, vector search tools, and knowledge grounding techniques. - Familiarity with distributed systems, scalable architectures, and cloud platforms (GCP, Azure). - Strong understanding of software design patterns, disaster recovery strategies, and non-functional requirements. Join Walmart Global Tech, a company that is at the forefront of AI innovation, leveraging cutting-edge technologies to redefine customer experiences. Be prepared to make a significant impact and help create the future of retail.,

As an Associate Platform Engineering Developer at SAP Generative AI Hub (AI Core), you will be part of the core engineering team that powers the SAP Generative AI Hub and AI Core platform. You'll work closely with experienced engineers to design, build, and enhance platform components that enable scalable, secure, and high-performance AI workloads. Your responsibilities will include: - Contributing to the development and enhancement of platform services and APIs that enable AI workflows on SAP AI Core. - Supporting the design and automation of CI/CD pipelines, containerized builds, and monitoring tools. - Implementing features and microservices using Go, Python, or Java, and ensuring integration within distributed systems. - Learning and contributing to cloud-native development using Kubernetes, Docker, and SAPs Business Technology Platform (BTP). - Collaborating with developers, DevOps, and product experts to ensure reliability, observability, and scalability of AI workloads. - Assisting in debugging, performance optimization, and deployment activities in test and productive environments. - Participating in agile ceremonies and continuously learning new technologies to improve development efficiency. Qualification Required: - Bachelor's degree in Computer Science, Engineering, or a related field. - 2 years of experience in software development or platform engineering (academic, internship, or open-source experience acceptable). - Good understanding of algorithms, data structures, and object-oriented programming concepts. - Programming knowledge in Go, Python, or Java with an eagerness to learn and adapt. - Familiarity with microservices, REST APIs, and container-based architectures. - Foundational understanding of CI/CD pipelines, Git, and cloud environments (AWS, Azure, or GCP). - Strong problem-solving, debugging, and analytical skills. - Eagerness to learn AI platform integration, orchestration frameworks, and cloud-native system design. - Excellent communication, collaboration, and learning agility. Joining SAP will provide you with the opportunity to build the foundation for AI innovation at an enterprise scale. You'll work with global experts, gain hands-on experience in cloud and AI infrastructure, and learn how to develop, deploy, and scale intelligent services that power real-world business applications. This role is ideal for those who are passionate about engineering excellence, learning new technologies, and shaping the next generation of AI-driven enterprise platforms.,

Job Description Interactions, LLC is the world's largest independent AI company operating at the intersection of customer experience and AI. Since 2004, Interactions has facilitated successful conversations for leading companies like MetLife, Citi, and Shutterfly, resulting in cost savings and increased productivity. Interactions aims to transform customer service experiences into engaging conversational interactions through their conversational AI engine, enhancing customer experience, engagement, and operational efficiency. Role Overview As an Engineering Intern at Interactions, you will collaborate with experienced engineers and managers on cutting-edge systems involving Generative AI, Big Query, Cloud Platforms, and Scalable Microservices built on modern platforms like Java Spring Boot. This internship offers an opportunity to work on real-world projects for Fortune 500 clients and gain valuable experience in the AI industry. Key Responsibilities - Assist in designing, developing, and testing software components across backend, frontend, and data pipelines - Build, test, and enhance RESTful APIs and microservices using Spring Boot and Java - Contribute to internal tools and dashboards using React, Node.js, Python, or similar technologies - Support AI/ML pipelines involving NLP, audio transcription, sentiment analysis, or Generative AI - Work on migrating or optimizing data platforms involving Looker, PostgreSQL, GCP, and BigQuery - Collaborate with mentors, document progress, and present regularly - Write clean, maintainable code, participate in code reviews, and team discussions What You'll Learn - Real-world Agile development processes (Scrum, CI/CD, GitOps) - Cloud-native development with Docker, Kubernetes, and Google Cloud Platform - Backend application development using Java, Spring Boot, Hibernate/JPA, Maven/Gradle - Hands-on experience in AI/ML model integration and data pipeline orchestration (Airflow, Spark) - Exposure to tools like Looker, Kafka, Redis, Twilio, and more - Engineering best practices in a professional product environment Qualifications - Currently pursuing or recently completed Masters degree in Computer Science, Engineering, or related fields - Strong foundation in Data Structures, Algorithms, and Software Design - Exposure to Java, Spring Boot, REST APIs, JavaScript/TypeScript, Python, React, Node.js, Flask, ML/NLP frameworks, Databases, Cloud platforms - Curiosity, willingness to learn, and strong problem-solving attitude Nice to Have (Bonus Points) - Projects or coursework related to Conversational AI, Platform Engineering, or Generative AI - Participation in Hackathons, Open Source, or Math/AI competitions - Familiarity with tools like Git, Postman, JIRA, Jupyter, or IntelliJ/VSCode About Us Interactions LLC is a passionate team building state-of-the-art Conversational AI, Analytics, and Omnichannel solutions. The India office is driving innovation across Social Channels, Analytics Platforms, and Natural Language Processing. Perks - Mentorship from senior engineers and managers - Opportunity to contribute to production-level systems - Certificate and letter of recommendation - Flexible working hours - Possible conversion to full-time based on performance,