1489 Vertex Jobs - Page 10

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Manager – Sales and Use Tax Indirect Tax has 9 sub-functions which manage Global accounts. Indirect Tax is spread across 8 GDS Locations. Our footprint extends to over 30+ countries in the world and looking at expanding it to over 50+ countries soon. We help country practices streamline and manage large engagements for several clients. Our team is Dynamic, culturally diverse and inclusive global workforce. Organized across geographic areas and business lines We drive high performance work culture. The opportunity An exciting opportunity with Sales and Use Tax Team. Assistance and coaching from some of the most engaging colleagues around. Opportunities for career and learning development. EY badges and Career mentoring The freedom and flexibility to handle your role Your key responsibilities Identify, document, and recommend client business requirements for implementing sales and use tax compliance processes and system improvements. Review and reconcile tax value notices and tax bills and interact with taxing jurisdictions to resolve discrepancies Expertise on Sales tax concepts and well versed with research tools like Vertex, Data handling, filings, Notices, Accounting etc Technically versatile and able to work with data from various sources of complexity and formats Monitor changes in State and Local tax legislation and rates incorporate changes timely into monthly procedures and update the team. Ability to communicate effectively and work competently with teams in other geographic locations Oversee returns reviewed by the senior by following the Standard operating procedures and update the Manager/Senior Manager on work related issues. Perform second level reviews and signs off returns reviewed by seniors. Enjoys working with people and developing people, with key focus on managing effective teams Prepare documentation and training presentations for US stakeholders as applicable. Skills and attributes for success Strong technical awareness of global indirect tax issues, knowledge of sales and use tax processes and data drivers. Experience leading a diverse, highly motivated team Involved in continuous improvement and the latest tax technologies To qualify for the role, you must have 8-12 years of experience in the domain Bachelor’s Degree or master’s degree Exhibit inclusive behavior in interactions with internal & external stakeholders with strong communication skills Knowledge on budgeting, reporting and billing and financial aspects of the projects. Ability to generate and plan work effort and manage project schedules/priorities with clear written and verbal communications and ability to travel for thirty percent of the time. Excellent time management, being able to work with several different clients and internal stakeholders. Ideally, you’ll also have Proficiency in Data visualization tools. Power Query, Power BI, etc. What we look for We look for candidates with proven capabilities in driving multiple projects, with exception client management and project management experience What we offer EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland and the UK – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career. Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next. Success, as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs. EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

Ready to shape the future of work? At Genpact, we don’t just adapt to change—we drive it. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory , our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI , our breakthrough solutions tackle companies’ most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that’s shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn , X , YouTube , and Facebook . Inviting applications for the role of Assistant Vice President– Generative AI – Systems Architect Role Overview: We are looking for an experienced Systems Architect with extensive experience in designing and scaling Generative AI systems to production. This role requires an individual with deep expertise in system architecture, software engineering, data platforms, and AI infrastructure, who can bridge the gap between data science, engineering and business. You will be responsible for end-to-end architecture of Gen.AI systems including model lifecycle management, inference, orchestration, pipelines Key Responsibilities: Architect and design end-to-end systems for production-grade Generative AI applications (e.g., LLM-based chatbots, copilots, content generation tools). Define and oversee system architecture covering data ingestion, model training/fine-tuning, inferencing, and deployment pipelines. Establish architectural tenets like modularity, scalability, reliability, observability, and maintainability. Collaborate with data scientists, ML engineers, platform engineers, and product managers to align architecture with business and AI goals. Choose and integrate foundation models (open source or proprietary) using APIs, model hubs, or fine-tuned versions. Evaluate and design solutions based on architecture patterns such as Retrieval-Augmented Generation (RAG), Agentic AI, Multi-modal AI, and Federated Learning. Design secure and compliant architecture for enterprise settings, including data governance, auditability, and access control. Lead system design reviews and define non-functional requirements (NFRs), including latency, availability, throughput, and cost. Work closely with MLOps teams to define the CI /CD processes for model and system updates. Contribute to the creation of reference architectures, design templates, and reusable components. Stay abreast of the latest advancements in GenAI , system design patterns, and AI platform tooling. Qualifications we seek in you! Minimum Qualifications Proven experience designing and implementing distributed systems, cloud-native architectures, and microservices. Deep understanding of Generative AI architectures, including LLMs, diffusion models, prompt engineering, and model fine-tuning. Strong experience with at least one cloud platform (AWS, GCP, or Azure) and services like SageMaker, Vertex AI, or Azure ML. Experience with Agentic AI systems or orchestrating multiple LLM agents. Experience with multimodal systems (e.g., combining image, text, video, and speech models). Knowledge of semantic search, vector databases, and retrieval techniques in RAG. Familiarity with Zero Trust architecture and advanced enterprise security practices. Experience in building developer platforms/toolkits for AI consumption. Contributions to open-source AI system frameworks or thought leadership in GenAI architecture. Hands-on experience with tools and frameworks like LangChain , Hugging Face, Ray, Kubeflow, MLflow , or Weaviate /FAISS. Knowledge of data pipelines, ETL/ELT, and data lakes/warehouses (e.g., Snowflake, BigQuery , Delta Lake). Solid grasp of DevOps and MLOps principles, including containerization (Docker), orchestration (Kubernetes), CI/CD pipelines, and model monitoring. Familiarity with system design tradeoffs in latency vs cost vs scale for GenAI workloads. Preferred Qualifications: Bachelor’s or Master’s degree in computer science, Engineering, or related field. Experience in software/system architecture, with experience in GenAI /AI/ML. Proven experience designing and implementing distributed systems, cloud-native architectures, and microservices. Strong interpersonal and communication skills; ability to collaborate and present to technical and executive stakeholders. Certifications in cloud platforms (e.g., AWS Certified Solutions Architect, Microsoft Certified: Azure Solutions Architect Expert, Google Cloud Professional Data Engineer). Familiarity with data governance and security best practices. Why join Genpact? Be a transformation leader – Work at the cutting edge of AI, automation, and digital innovation Make an impact – Drive change for global enterprises and solve business challenges that matter Accelerate your career – Get hands-on experience, mentorship, and continuous learning opportunities Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let’s build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color , religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training. Job Assistant Vice President Primary Location India-Hyderabad Schedule Full-time Education Level Master's / Equivalent Job Posting Jul 21, 2025, 2:57:18 AM Unposting Date Ongoing Master Skills List Digital Job Category Full Time

Location: Mohali, PB Job Type: Full-Time Exp: Minimum of 2 years of experience in advanced AI development. Shift Timings: 12-10pm IST About RChilli RChilli is a leader in AI-driven HR technology, powering next-generation recruitment solutions globally. We thrive on innovation, agility, and a mission to revolutionize the way HR teams work with intelligent automation. As we expand our capabilities in Agentic AI, we are looking for a passionate technologist to lead and drive this initiative. Position Summary We are urgently seeking a hands-on, visionary professional to lead the development and deployment of Agentic AI systems . This role is central to our next phase of AI innovation and requires deep technical acumen in building autonomous AI agents integrated with leading cloud platforms. Key Responsibilities Design and Architect Agentic AI solutions aligned with business goals. Lead the End-to-End Development of AI agents, from ideation through production deployment. Integrate multi-agent systems across cloud environments including AWS, Google Cloud, and Azure . Ensure scalable, secure, and reliable deployments of AI systems. Collaborate with Product, Engineering, and DevOps teams to maintain high availability and performance of AI solutions. Stay ahead of AI trends to introduce cutting-edge innovations into the product lifecycle. Technical Requirements Proven track record in designing and deploying Agentic AI systems . Proficiency with cloud-native agent development platforms: AWS Bedrock Google Vertex AI Agent Builder Azure AI Studio & Azure AI Agent Service Deep understanding of cloud architecture , APIs, serverless frameworks, and deployment strategies. Familiarity with LLMs, prompt engineering, and orchestrating autonomous agents for complex tasks. Strong programming background (e.g., Python, Node.js) and experience with model fine-tuning and orchestration tools. Hands-on experience releasing or integrating AI agents on marketplaces such as the OpenAI GPTs Store, Hugging Face Hub, or cloud marketplaces (e.g., AWS, Azure), including knowledge of submission workflows, publishing standards, and discoverability optimization. (Experience with at least one marketplace is required.) Nice to Have Experience with tools such as LangChain, AutoGen, CrewAI, or similar agent frameworks. Background in MLOps and CI/CD for AI systems. Contributions to open-source AI agent frameworks. What We Offer A chance to lead a frontier role in cutting-edge AI development. Work with a global team of innovators . Flexible remote working environment .( Global Canididates) Competitive compensation aligned with market standards.

Job Title: Agent AI Specialist / Senior AI Engineer Location: Delhi NCR Experience: 1–2 years Department: AI/ML Research & Development Job Type: Full-time Job Summary: We are seeking a highly skilled and motivated AI Specialist with hands-on experience in Agent AI frameworks and multi-agent communication protocols. The ideal candidate will be passionate about pushing the boundaries of AI with deep learning, autonomous agents, and cutting-edge tools like LangChain, LangGraph, and llama-index. If you have a strong foundation in image processing, and experience with cloud AI platforms like Azure ML Foundry or Google Vertex AI, we’d love to hear from you. Key Responsibilities: Design, build, and deploy AI agents using frameworks like Autogen , LangChain , LangGraph , and llama-index Develop and implement Agent-to-Agent (A2A) communication protocols for autonomous coordination Integrate multi-agent cognitive protocols (MCP) for enhanced agent collaboration Apply advanced deep learning techniques to real-world AI and computer vision problems Work on image processing tasks using AI/ML models for detection, enhancement, and transformation Collaborate with cross-functional teams to deliver scalable AI solutions on cloud platforms such as Azure Foundry or Google Vertex AI Conduct POCs and build demos showcasing agent-based AI applications Stay current with research trends and innovations in the field of generative AI, agent systems, and multimodal learning Key Requirements: Proven experience with Agent AI frameworks like Autogen or similar Strong understanding of MCP / A2A protocols and agent coordination techniques Proficiency in Python and AI/ML libraries (e.g., PyTorch, TensorFlow) Experience in image processing using AI (OpenCV, Pillow, deep learning models, etc.) Hands-on experience with LangChain , LangGraph , llama-index , or equivalent modular AI frameworks Familiarity with cloud-based ML tools – especially Azure Foundry , Google Vertex AI , or AWS SageMaker Strong analytical and problem-solving skills Good communication and documentation abilities. Qualifications: BE/B.Tech/MCA/MSc

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. SAP S/4 HANA – Tax Engine GDS Tax Technology Position EY’s GDS Tax Technology team’s mission is to develop, implement and integrate technology solutions that better serve our clients and engagement teams. As a member of EY’s core Tax practice, you’ll develop a deep tax technical knowledge and outstanding ERP, database, data analytics and programming skills. Ever-increasing regulations require tax departments to gather, organize and analyse more data than ever before. Often the data necessary to satisfy these ever-increasing and complex regulations must be collected from a variety of systems and departments throughout an organization. Effectively and efficiently handling the variety and volume of data is often extremely challenging and time consuming for a company. EY's GDS Tax Technology team members work side-by-side with the firm's partners, clients and tax technical subject matter experts to develop and incorporate technology solutions that enhance value-add, improve efficiencies and enable our clients with disruptive and market leading tools supporting Tax. GDS Tax Technology works closely with clients and professionals in the following areas: Federal Business Tax Services, Partnership Compliance, Corporate Compliance, Indirect Tax Services, Human Capital, and Internal Tax Services. GDS Tax Technology provides solution architecture, application development, testing and maintenance support to the global TAX service line both on a pro-active basis and in response to specific requests. Key Responsibilities Lead the solution design and development of Tax tools and technology solutions. Be subject matter expert to program/project teams in the plan, design, and delivery of technical solutions. Ability to effectively communicate with other senior leaders of IT on program strategies and plans and negotiate quality solutions. Qualification & Experience Required Bachelor’s / master’s degree in finance / MBA - Finance / MCA / CA/ CWA. Minimum 7-8 years of Experience in the below mentioned skills experience in SAP S/4 Hana Projects. Implementation with Tax Engines. Overall experience not more than 12 years. Tax Engine Experience such as (Vertex O Series, Accelerator, OneSource, GlobalNext, CFA) Minimum 6-7 End to End Implementation in SAP S4 Hana and Tax engine. Experience in VAT, Sales and Use Tax, India GST. Sound knowledge in Taxation – Indirect Tax. Sound knowledge in OTC, PTP cycles Knowledge of Scrum and working experience will be an advantage. Roles & Responsibilities of day-to-day activities of an SAP Indirect Tax consultant Expertise in configuration of SAP S/4 HANA for Indirect Tax End to End flow creation in SAP Knowledge In Vertex O Series, Accelerator, OneSource, GlobalNext. Troubleshooting issues and providing Indirect Tax solutions to the client. Understanding the client requirements. Supporting clients through requirements gathering, build, test and Go-live support Correction processing of statutory reporting. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Join our Team About this opportunity: We are looking for a Senior Machine Learning Engineer with 10+ years of experience to design, build, and deploy scalable machine learning systems in production. This is not a data science role — we are seeking an engineering-focused individual who can partner with data scientists to productionize models, own ML pipelines end-to-end, and drive reliability, automation, and performance of our ML infrastructure. You’ll work on mission-critical systems where robustness, monitoring, and maintainability are key. You should be experienced with modern MLOps tools, cloud platforms, containerization, and model serving at scale. What you will do: Design and build robust ML pipelines and services for training, validation, and model deployment. Work closely with data scientists, solution architects, DevOps engineers, etc. to align the components and pipelines with project goals and requirements. Communicate deviation from target architecture (if any). Cloud Integration: Ensuring compatibility with cloud services of AWS, and Azure for enhanced performance and scalability Build reusable infrastructure components using best practices in DevOps and MLOps. Security and Compliance: Adhering to security standards and regulatory compliance, particularly in handling confidential and sensitive data. Network Security: Design optimal network plan for given Cloud Infrastructure under the E// network security guidelines Monitor model performance in production and implement drift detection and retraining pipelines. Optimize models for performance, scalability, and cost (e.g., batching, quantization, hardware acceleration). Documentation and Knowledge Sharing: Creating detailed documentation and guidelines for the use and modification of the developed components. The skills you bring: Strong programming skills in Python Deep experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn, XGBoost). Hands-on with MLOps tools like MLflow, Airflow, TFX, Kubeflow, or BentoML. Experience deploying models using Docker and Kubernetes. Strong knowledge of cloud platforms (AWS/GCP/Azure) and ML services (e.g., SageMaker, Vertex AI). Proficiency with data engineering tools (Spark, Kafka, SQL/NoSQL). Solid understanding of CI/CD, version control (Git), and infrastructure as code (Terraform, Helm). Experience with monitoring/logging (Prometheus, Grafana, ELK). Good-to-Have Skills Experience with feature stores (Feast, Tecton) and experiment tracking platforms. Knowledge of edge/embedded ML, model quantization, and optimization. Familiarity with model governance, security, and compliance in ML systems. Exposure to on-device ML or streaming ML use cases. Experience leading cross-functional initiatives or mentoring junior engineers. Why join Ericsson? At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like. Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more. Primary country and city: India (IN) || Bangalore Req ID: 770160

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. SAP S/4 HANA – Tax Engine Position EY’s GDS Tax Technology team’s mission is to develop, implement and integrate technology solutions that better serve our clients and engagement teams. As a member of EY’s core Tax practice, you’ll develop a deep tax technical knowledge and outstanding ERP, database, data analytics and programming skills. Ever-increasing regulations require tax departments to gather, organize and analyse more data than ever before. Often the data necessary to satisfy these ever-increasing and complex regulations must be collected from a variety of systems and departments throughout an organization. Effectively and efficiently handling the variety and volume of data is often extremely challenging and time consuming for a company. EY's GDS Tax Technology team members work side-by-side with the firm's partners, clients and tax technical subject matter experts to develop and incorporate technology solutions that enhance value-add, improve efficiencies and enable our clients with disruptive and market leading tools supporting Tax. GDS Tax Technology works closely with clients and professionals in the following areas: Federal Business Tax Services, Partnership Compliance, Corporate Compliance, Indirect Tax Services, Human Capital, and Internal Tax Services. GDS Tax Technology provides solution architecture, application development, testing and maintenance support to the global TAX service line both on a pro-active basis and in response to specific requests. Key Responsibilities Task Execution: Perform assigned duties accurately and efficiently, following established processes and quality standards. Collaboration: Work effectively with team members, supporting group goals and contributing to a positive team dynamic. Reporting & Documentation: Maintain proper records of work, update progress regularly, and report issues or delays to supervisors. Continuous Improvement: Seek feedback, participate in training, and look for opportunities to enhance skills and improve work processes. Qualification & Experience Required Bachelor’s / master’s degree in finance / MBA - Finance / MCA / CA/ CWA. Relevant 1-3 years of experience in SAP S/4 Hana Projects. Implementation with Tax Engines. Overall experience not more than 4 years. Working knowledge of Onesource/Vertex Tax Engine. Roles & Responsibilities of day-to-day activities of an SAP Indirect Tax consultant Working Knowledge of SAP FI Working Knowledge of Onesource/Vertex Tax Engine. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

To Apply: Send your updated resume to hr@whitemastery.com with the subject line: Senior AI and ML Engineer – Application or contact (+91) 9176760030 Role Overview As a Senior AI & ML Engineer, you will be responsible for designing, developing, and deploying advanced machine learning models and AI systems. You will work alongside data scientists, backend engineers, and product teams to create robust AI-driven applications using Python , Golang , and various ML frameworks. Key Responsibilities Design and implement ML models and algorithms for real-world business problems. Build scalable backend services in Python and Golang to support AI functionalities. Deploy and optimize ML models into production environments. Lead architecture decisions and code reviews, ensuring performance and maintainability. Collaborate with cross-functional teams including data engineering, product, and DevOps. Stay current with the latest research and trends in AI/ML to propose innovative solutions. Mentor junior engineers and contribute to technical documentation and knowledge sharing. Key Skills & Qualifications Bachelor's or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. 5+ years of experience in software engineering with at least 3 years focused on ML applications. Strong proficiency in Python and experience with ML libraries (TensorFlow, PyTorch, Scikit-learn, etc.). Good experience working with Golang for backend development or system-level programming. Solid understanding of ML lifecycle – data preprocessing, feature engineering, training, evaluation, and deployment. Experience with containerization tools (Docker, Kubernetes) and cloud platforms (AWS, GCP, Azure). Excellent problem-solving skills and ability to translate business needs into technical solutions. Strong communication and teamwork abilities. Nice to Have Experience with MLOps tools like MLflow, Kubeflow, or Vertex AI. Familiarity with RESTful APIs, microservices architecture, and event-driven systems. Background in NLP, computer vision, or time-series analysis. Job Type: Full-time Pay: ₹400,000.00 - ₹700,000.00 per year Benefits: Flexible schedule Paid time off Work from home Application Question(s): Do you have any notice period or can you join immediately? Experience: AI and ML: 3 years (Preferred) Location: Chennai, Tamil Nadu (Preferred) Work Location: In person

Join our Team About this opportunity: We are looking for a Senior Machine Learning Engineer with 10+ years of experience to design, build, and deploy scalable machine learning systems in production. This is not a data science role — we are seeking an engineering-focused individual who can partner with data scientists to productionize models, own ML pipelines end-to-end, and drive reliability, automation, and performance of our ML infrastructure. You’ll work on mission-critical systems where robustness, monitoring, and maintainability are key. You should be experienced with modern MLOps tools, cloud platforms, containerization, and model serving at scale. What you will do: Design and build robust ML pipelines and services for training, validation, and model deployment. Work closely with data scientists, solution architects, DevOps engineers, etc. to align the components and pipelines with project goals and requirements. Communicate deviation from target architecture (if any). Cloud Integration: Ensuring compatibility with cloud services of AWS, and Azure for enhanced performance and scalability Build reusable infrastructure components using best practices in DevOps and MLOps. Security and Compliance: Adhering to security standards and regulatory compliance, particularly in handling confidential and sensitive data. Network Security: Design optimal network plan for given Cloud Infrastructure under the E// network security guidelines Monitor model performance in production and implement drift detection and retraining pipelines. Optimize models for performance, scalability, and cost (e.g., batching, quantization, hardware acceleration). Documentation and Knowledge Sharing: Creating detailed documentation and guidelines for the use and modification of the developed components. The skills you bring: Strong programming skills in Python Deep experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn, XGBoost). Hands-on with MLOps tools like MLflow, Airflow, TFX, Kubeflow, or BentoML. Experience deploying models using Docker and Kubernetes. Strong knowledge of cloud platforms (AWS/GCP/Azure) and ML services (e.g., SageMaker, Vertex AI). Proficiency with data engineering tools (Spark, Kafka, SQL/NoSQL). Solid understanding of CI/CD, version control (Git), and infrastructure as code (Terraform, Helm). Experience with monitoring/logging (Prometheus, Grafana, ELK). Good-to-Have Skills Experience with feature stores (Feast, Tecton) and experiment tracking platforms. Knowledge of edge/embedded ML, model quantization, and optimization. Familiarity with model governance, security, and compliance in ML systems. Exposure to on-device ML or streaming ML use cases. Experience leading cross-functional initiatives or mentoring junior engineers. Why join Ericsson? At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like. Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more. Primary country and city: India (IN) || Bangalore Req ID: 770160

Equifax is currently looking for an exceptional candidate to help with production support operations for Oracle Billing & Revenue Management platform. The candidate will be primarily responsible for production support and involved in all phases of SDLC including Detailed Design, Development, Unit/Dev Integration testing, QA support. The candidate is expected to help triage & be involved with any production issues that arise on a day-to-day basis. The candidate is expected to be hands-on in the production support area and should be able to perform with minimal supervision. Duties: Perform all production support activities, including analyzing any issue tickets, resolving issues, conducting root cause analysis as required Responsible for ensuring application systems are in compliance to security, audit policies, and procedures Be involved during the architecture phase of projects and provide technical input as required Provide support for Oracle BRM systems for various projects around the globe Provide support for detailed design (application/system/network/DB) as necessitated by the project while ensuring complete architectural compliance Provide support for ensuring proper unit testing and/or dev integration testing is carried out and is 100% automated to help with creating a continuous integration environment Set & maintain very high quality in design, code and build quality and continuously strive to improve on the standards Assist QA and Production Support in troubleshooting technical issues and develop code fixes. Prepare reports, manuals, and other documentation on the status, operation and maintenance of software Follow the SLA for issues with respect to the severity Establish a strategy of continuous delivery risk management that enables proactive decisions and actions throughout the delivery life cycle. Measure and improve delivery productivity for all P1 and P2 support engineers. Participate in architecture, design, and code reviews with the software development teams. Collaborate with other support engineers to plan and organize the development of our systems. Proactively identify issues within the system or within international BU operations and/or infrastructure, security concerns, data concerns, and create a remediation plan to solve the issue permanently. Proactively creating tickets/escalation when needs are identified to correct recurrent issues with BU's; as well as modernize technology in application stack. Support, Manage, Optimize and Monitor all profiles, rules, configuration, certificates and software licenses on all environments and take appropriate action in the event of non-compliance with security requirements. Other duties as assigned Qualifications: A Bachelor's degree in Computer Science or related discipline with a significant software development component. 5-7 years of Production Support/ Software development experience using C/C++ and/or Java. 6+ years of experience with Oracle BRM (Portal Infranet/Integrate Billing Solution) 7.x is a must. Experience with BRM PCM C/Java development and customizations. Experience configuring and using various tools like Oracle Mediation Controller and integrating with third party apps like Vertex (O Series), payment processing systems (Chase Paymentech preferred), Invoice extraction systems & Oracle EBS (R12) is required. Experience in automating the jobs is a big plus Knowledge of data model and experience working with data warehouse feeds is required Experience with Oracle RDBMS database software and Oracle Weblogic. Experience with Unix/Linux operating systems and Bash/Korn Shell Scripting. Solid communication, organizational, and project management skills are required. Experience with data migration, import, and legacy conversion is valuable. Proven debugging and problem solving skills.

Job ID: 39582 Position Summary A rewarding career at HID Global beckons you! We are looking for an AI/ML Engineer , who is responsible for designing, developing, and deploying advanced AI/ML solutions to solve complex business challenges. This role requires expertise in machine learning, deep learning, MLOps, and AI model optimization , with a focus on building scalable, high-performance AI systems. As an AI/ML Engineer , you will work closely with data engineers, software developers, and business stakeholders to integrate AI-driven insights into real-world applications. You will be responsible for model development, system architecture, cloud deployment, and ensuring responsible AI adoption . We are a leading company in the trusted source for innovative HID Global Human Resources products, solutions and services that help millions of customers around the globe create, manage and use secure identities. Roles & Responsibilities: Design, develop, and deploy robust & scalable AI/ML models in Production environments. Collaborate with business stakeholders to identify AI/ML opportunities and define measurable success metrics. Design and build Retrieval-Augmented Generation (RAG) pipelines integrating vector stores, semantic search, and document parsing for domain-specific knowledge retrieval. Integrate Multimodal Conversational AI platforms (MCP) including voice, vision, and text to deliver rich user interactions. Drive innovation through PoCs, benchmarking, and experiments with emerging models and architectures. Optimize models for performance, latency and scalability. Build data pipelines and workflows to support model training and evaluation. Conduct research & experimentation on the state-of-the-art techniques (DL, NLP, Time series, CV) Partner with MLOps and DevOps teams to implement best practices in model monitoring, version and re-training. Lead code reviews, architecture discussions and mentor junior & peer engineers. Architect and implement end-to-end AI/ML pipelines, ensuring scalability and efficiency. Deploy models in cloud-based (AWS, Azure, GCP) or on-premises environments using tools like Docker, Kubernetes, TensorFlow Serving, or ONNX Ensure data integrity, quality, and preprocessing best practices for AI/ML model development. Ensure compliance with AI ethics guidelines, data privacy laws (GDPR, CCPA), and corporate AI governance. Work closely with data engineers, software developers, and domain experts to integrate AI into existing systems. Conduct AI/ML training sessions for internal teams to improve AI literacy within the organization. Strong analytical and problem solving mindset. Technical Requirements: Strong expertise in AI/ML engineering and software development. Strong experience with RAG architecture, vector databases Proficiency in Python and hands-on experience in using ML frameworks (tensorflow, pytorch, scikit-learn, xgboost etc) Familiarity with MCPs like Google Dialogflow, Rasa, Amazon Lex, or custom-built agents using LLM orchestration. Cloud-based AI/ML experience (AWS Sagemaker, Azure ML, GCP Vertex AI, etc.). Solid understanding of AI/ML life cycle – Data preprocessing, feature engineering, model selection, training, validation and deployment. Experience in production grade ML systems (Model serving, APIs, Pipelines) Familiarity with Data engineering tools (SPARK, Kafka, Airflow etc) Strong knowledge of statistical modeling, NLP, CV, Recommendation systems, Anomaly detection and time series forecasting. Hands-on in Software engineering with knowledge of version control, testing & CI/CD Hands-on experience in deploying ML models in production using Docker, Kubernetes, TensorFlow Serving, ONNX, and MLflow. Experience in MLOps & CI/CD for ML pipelines, including monitoring, retraining, and model drift detection. Proficiency in scaling AI solutions in cloud environments (AWS, Azure & GCP). Experience in data preprocessing, feature engineering, and dimensionality reduction. Exposure to Data privacy, Compliance and Secure ML practices Education and/or Experience: Graduation or master’s in computer science or information technology or AI/ML/Data science 3+ years of hands-on experience in AI/ML development/deployment and optimization Experience in leading AI/ML teams and mentoring junior engineers.

Location: Mohali, PB Job Type: Full-Time Exp: Minimum of 2 years of experience in advanced AI development. Shift Timings: 12-10pm IST About RChilli RChilli is a leader in AI-driven HR technology, powering next-generation recruitment solutions globally. We thrive on innovation, agility, and a mission to revolutionize the way HR teams work with intelligent automation. As we expand our capabilities in Agentic AI, we are looking for a passionate technologist to lead and drive this initiative. Position Summary We are urgently seeking a hands-on, visionary professional to lead the development and deployment of Agentic AI systems . This role is central to our next phase of AI innovation and requires deep technical acumen in building autonomous AI agents integrated with leading cloud platforms. Key Responsibilities Design and Architect Agentic AI solutions aligned with business goals. Lead the End-to-End Development of AI agents, from ideation through production deployment. Integrate multi-agent systems across cloud environments including AWS, Google Cloud, and Azure . Ensure scalable, secure, and reliable deployments of AI systems. Collaborate with Product, Engineering, and DevOps teams to maintain high availability and performance of AI solutions. Stay ahead of AI trends to introduce cutting-edge innovations into the product lifecycle. Technical Requirements Proven track record in designing and deploying Agentic AI systems . Proficiency with cloud-native agent development platforms: AWS Bedrock Google Vertex AI Agent Builder Azure AI Studio & Azure AI Agent Service Deep understanding of cloud architecture , APIs, serverless frameworks, and deployment strategies. Familiarity with LLMs, prompt engineering, and orchestrating autonomous agents for complex tasks. Strong programming background (e.g., Python, Node.js) and experience with model fine-tuning and orchestration tools. Hands-on experience releasing or integrating AI agents on marketplaces such as the OpenAI GPTs Store, Hugging Face Hub, or cloud marketplaces (e.g., AWS, Azure), including knowledge of submission workflows, publishing standards, and discoverability optimization. (Experience with at least one marketplace is required.) Nice to Have Experience with tools such as LangChain, AutoGen, CrewAI, or similar agent frameworks. Background in MLOps and CI/CD for AI systems. Contributions to open-source AI agent frameworks. What We Offer A chance to lead a frontier role in cutting-edge AI development. Work with a global team of innovators . Flexible remote working environment .( Global Canididates) Competitive compensation aligned with market standards.

Job Title: Technology Lead Location: Pune, Maharashtra, India Experience Level: 8+ Years Role Overview: We are seeking an accomplished and highly driven Tech Lead to spearhead the technical direction, architecture, and hands-on development of our critical data and application infrastructure on Google Cloud Platform. This role is for a visionary leader who thrives on solving complex technical challenges, driving innovation with AI/LLM capabilities, and ensuring the delivery of scalable, highly available, and secure solutions across the complete software development lifecycle. If you possess a profound technical depth, exceptional leadership skills, and a "Get Things Done" attitude, you will be instrumental in shaping our technological future. Key Responsibilities: Technical Leadership & Architectural Ownership: Drive the technical vision, architecture, and design for complex, large-scale software solutions on GCP, ensuring high quality, scalability, maintainability, and adherence to best practices. Lead and mentor a team of engineers, fostering a culture of technical excellence, continuous learning, and innovation, providing deep technical and architectural guidance. Own the technical roadmap and strategic initiatives, influencing key stakeholders and driving architectural decisions across the tech organization. Conduct rigorous code and design reviews, ensuring solutions meet stringent technical standards and business requirements. GCP, Data Engineering & Cloud Operations: Architect, build, and optimize robust, high-performance data pipelines and ETL/ELT processes using Apache Airflow for orchestration. Lead the development and management of comprehensive data solutions utilizing Google Cloud Platform (GCP) services, including BigQuery for data warehousing, PostgreSQL for relational databases, Dataflow for stream/batch processing, and Pub/Sub for real-time messaging. Ensure paramount data integrity, cloud security, and optimal performance across all data systems. Oversee infrastructure management, resource monitoring, and cost optimization strategies within the cloud environment. Design and implement systems for exceptional scalability and high availability, managing complex networking with cloud and infrastructure. AI/LLM Integration & Strategic Automation: Lead the strategy, design, and implementation of Large Language Models (LLMs) and advanced AI coding tools into core engineering workflows to significantly enhance developer productivity and automate complex processes. Drive initiatives for end-to-end workflow automation across the software development lifecycle, leveraging AI, scripting, and advanced tooling. Lead POCs with new technologies and AI POCs, conducting benchmarking of AI tools to identify and champion the right solutions for the team and organization. Problem Solving & Innovation: Proactively identify, diagnose, and resolve highly complex technical issues, providing innovative and sustainable solutions. Champion the adoption of new technologies and methodologies to continuously improve system performance, reliability, and the overall developer experience. Cross-Functional Collaboration & Stakeholder Engagement: Collaborate extensively with product owners, data scientists, and other engineering teams to translate business needs into robust technical solutions and build sales-centric features. Engage directly with customers to gather insights, provide technical guidance, and ensure solutions meet their evolving needs. Clearly articulate complex technical concepts and strategic decisions to diverse technical and non-technical stakeholders. Manage the complete software development lifecycle from conception to deployment and ongoing operations. Required Skills & Qualifications: 8+ years of progressive experience in software engineering, with a strong emphasis on backend development, cloud-native architectures, and technical leadership roles. Expert-level proficiency in Python, including extensive experience with Django and Flask frameworks. Deep expertise in Google Cloud Platform (GCP) services, including BigQuery, PostgreSQL, Airflow, Dataflow, and Pub/Sub. Proven track record in architecting, designing, and maintaining scalable, high-performance data pipelines and distributed systems. Extensive hands-on experience with LLM integration (e.g., OpenAI GPT-4, Vertex AI Gemini) and leveraging AI coding tools (e.g., GitHub Copilot, Cursor, etc.) for enhanced productivity. Demonstrated ability to implement and optimize complex workflow automation. Solid understanding of relational databases and SQL, with advanced proficiency in PostgreSQL. Strong experience with version control systems (Git) and designing/implementing robust CI/CD pipelines (GitHub Actions, etc.). Deep understanding of microservices architecture, serverless applications, and API design principles. Expertise in containerization technologies (Docker, Kubernetes). Understanding of FHIR (Fast Healthcare Interoperability Resources) standards for healthcare data exchange. Proven experience with Cloud Security best practices and implementation. Demonstrable experience in infrastructure management, resource monitoring, and cloud cost optimization. A track record of designing and building systems for exceptional scalability and high availability. Strong understanding of core software engineering principles, design patterns, and architectural best practices. Exceptional problem-solving, analytical, and critical thinking skills. Outstanding communication, interpersonal, and leadership skills, with a proven ability to influence and guide technical teams. A "Get Things Done" attitude, high energy, and a passion for continuous learning and innovation. Bonus Points (Nice to Have): Experience with Infrastructure as Code (e.g., Terraform). Experience with other major cloud platforms (e.g., AWS Lambda, S3, RDS). Experience with streaming technologies like Kafka. Familiarity with visualization and analytics tools (Metabase, Apache Superset). Contributions to open-source projects or technical communities.

To Apply: Send your updated resume to hr@whitemastery.com with the subject line: Senior AI and ML Engineer – Application or contact (+91) 9176760030 Role Overview As a Senior AI & ML Engineer, you will be responsible for designing, developing, and deploying advanced machine learning models and AI systems. You will work alongside data scientists, backend engineers, and product teams to create robust AI-driven applications using Python , Golang , and various ML frameworks. Key Responsibilities Design and implement ML models and algorithms for real-world business problems. Build scalable backend services in Python and Golang to support AI functionalities. Deploy and optimize ML models into production environments. Lead architecture decisions and code reviews, ensuring performance and maintainability. Collaborate with cross-functional teams including data engineering, product, and DevOps. Stay current with the latest research and trends in AI/ML to propose innovative solutions. Mentor junior engineers and contribute to technical documentation and knowledge sharing. Key Skills & Qualifications Bachelor's or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. 5+ years of experience in software engineering with at least 3 years focused on ML applications. Strong proficiency in Python and experience with ML libraries (TensorFlow, PyTorch, Scikit-learn, etc.). Good experience working with Golang for backend development or system-level programming. Solid understanding of ML lifecycle – data preprocessing, feature engineering, training, evaluation, and deployment. Experience with containerization tools (Docker, Kubernetes) and cloud platforms (AWS, GCP, Azure). Excellent problem-solving skills and ability to translate business needs into technical solutions. Strong communication and teamwork abilities. Nice to Have Experience with MLOps tools like MLflow, Kubeflow, or Vertex AI. Familiarity with RESTful APIs, microservices architecture, and event-driven systems. Background in NLP, computer vision, or time-series analysis. Job Type: Full-time Pay: ₹400,000.00 - ₹700,000.00 per year Benefits: Flexible schedule Paid time off Work from home Application Question(s): Do you have any notice period or can you join immediately? Experience: AI and ML: 3 years (Preferred) Location: Chennai, Tamil Nadu (Preferred) Work Location: In person

Join our Team About this opportunity: We are looking for a Senior Machine Learning Engineer with 10+ years of experience to design, build, and deploy scalable machine learning systems in production. This is not a data science role — we are seeking an engineering-focused individual who can partner with data scientists to productionize models, own ML pipelines end-to-end, and drive reliability, automation, and performance of our ML infrastructure. You’ll work on mission-critical systems where robustness, monitoring, and maintainability are key. You should be experienced with modern MLOps tools, cloud platforms, containerization, and model serving at scale. What you will do: Design and build robust ML pipelines and services for training, validation, and model deployment. Work closely with data scientists, solution architects, DevOps engineers, etc. to align the components and pipelines with project goals and requirements. Communicate deviation from target architecture (if any). Cloud Integration: Ensuring compatibility with cloud services of AWS, and Azure for enhanced performance and scalability Build reusable infrastructure components using best practices in DevOps and MLOps. Security and Compliance: Adhering to security standards and regulatory compliance, particularly in handling confidential and sensitive data. Network Security: Design optimal network plan for given Cloud Infrastructure under the E// network security guidelines Monitor model performance in production and implement drift detection and retraining pipelines. Optimize models for performance, scalability, and cost (e.g., batching, quantization, hardware acceleration). Documentation and Knowledge Sharing: Creating detailed documentation and guidelines for the use and modification of the developed components. The skills you bring: Strong programming skills in Python Deep experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn, XGBoost). Hands-on with MLOps tools like MLflow, Airflow, TFX, Kubeflow, or BentoML. Experience deploying models using Docker and Kubernetes. Strong knowledge of cloud platforms (AWS/GCP/Azure) and ML services (e.g., SageMaker, Vertex AI). Proficiency with data engineering tools (Spark, Kafka, SQL/NoSQL). Solid understanding of CI/CD, version control (Git), and infrastructure as code (Terraform, Helm). Experience with monitoring/logging (Prometheus, Grafana, ELK). Good-to-Have Skills Experience with feature stores (Feast, Tecton) and experiment tracking platforms. Knowledge of edge/embedded ML, model quantization, and optimization. Familiarity with model governance, security, and compliance in ML systems. Exposure to on-device ML or streaming ML use cases. Experience leading cross-functional initiatives or mentoring junior engineers. Why join Ericsson? At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like. Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more. Primary country and city: India (IN) || Bangalore Req ID: 770160

Join our Team About this opportunity: We are looking for a Senior Machine Learning Engineer with 10+ years of experience to design, build, and deploy scalable machine learning systems in production. This is not a data science role — we are seeking an engineering-focused individual who can partner with data scientists to productionize models, own ML pipelines end-to-end, and drive reliability, automation, and performance of our ML infrastructure. You’ll work on mission-critical systems where robustness, monitoring, and maintainability are key. You should be experienced with modern MLOps tools, cloud platforms, containerization, and model serving at scale. What you will do: Design and build robust ML pipelines and services for training, validation, and model deployment. Work closely with data scientists, solution architects, DevOps engineers, etc. to align the components and pipelines with project goals and requirements. Communicate deviation from target architecture (if any). Cloud Integration: Ensuring compatibility with cloud services of AWS, and Azure for enhanced performance and scalability Build reusable infrastructure components using best practices in DevOps and MLOps. Security and Compliance: Adhering to security standards and regulatory compliance, particularly in handling confidential and sensitive data. Network Security: Design optimal network plan for given Cloud Infrastructure under the E// network security guidelines Monitor model performance in production and implement drift detection and retraining pipelines. Optimize models for performance, scalability, and cost (e.g., batching, quantization, hardware acceleration). Documentation and Knowledge Sharing: Creating detailed documentation and guidelines for the use and modification of the developed components. The skills you bring: Strong programming skills in Python Deep experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn, XGBoost). Hands-on with MLOps tools like MLflow, Airflow, TFX, Kubeflow, or BentoML. Experience deploying models using Docker and Kubernetes. Strong knowledge of cloud platforms (AWS/GCP/Azure) and ML services (e.g., SageMaker, Vertex AI). Proficiency with data engineering tools (Spark, Kafka, SQL/NoSQL). Solid understanding of CI/CD, version control (Git), and infrastructure as code (Terraform, Helm). Experience with monitoring/logging (Prometheus, Grafana, ELK). Good-to-Have Skills Experience with feature stores (Feast, Tecton) and experiment tracking platforms. Knowledge of edge/embedded ML, model quantization, and optimization. Familiarity with model governance, security, and compliance in ML systems. Exposure to on-device ML or streaming ML use cases. Experience leading cross-functional initiatives or mentoring junior engineers. Why join Ericsson? At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like. Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more. Primary country and city: India (IN) || Bangalore Req ID: 770160

Job Title: Agent AI Specialist / Senior AI Engineer Location: Delhi NCR Experience: 1–2 years Department: AI/ML Research & Development Job Type: Full-time Job Summary: We are seeking a highly skilled and motivated AI Specialist with hands-on experience in Agent AI frameworks and multi-agent communication protocols. The ideal candidate will be passionate about pushing the boundaries of AI with deep learning, autonomous agents, and cutting-edge tools like LangChain, LangGraph, and llama-index. If you have a strong foundation in image processing, and experience with cloud AI platforms like Azure ML Foundry or Google Vertex AI, we’d love to hear from you. Key Responsibilities: Design, build, and deploy AI agents using frameworks like Autogen , LangChain , LangGraph , and llama-index Develop and implement Agent-to-Agent (A2A) communication protocols for autonomous coordination Integrate multi-agent cognitive protocols (MCP) for enhanced agent collaboration Apply advanced deep learning techniques to real-world AI and computer vision problems Work on image processing tasks using AI/ML models for detection, enhancement, and transformation Collaborate with cross-functional teams to deliver scalable AI solutions on cloud platforms such as Azure Foundry or Google Vertex AI Conduct POCs and build demos showcasing agent-based AI applications Stay current with research trends and innovations in the field of generative AI, agent systems, and multimodal learning Key Requirements: Proven experience with Agent AI frameworks like Autogen or similar Strong understanding of MCP / A2A protocols and agent coordination techniques Proficiency in Python and AI/ML libraries (e.g., PyTorch, TensorFlow) Experience in image processing using AI (OpenCV, Pillow, deep learning models, etc.) Hands-on experience with LangChain , LangGraph , llama-index , or equivalent modular AI frameworks Familiarity with cloud-based ML tools – especially Azure Foundry , Google Vertex AI , or AWS SageMaker Strong analytical and problem-solving skills Good communication and documentation abilities. Qualifications: BE/B.Tech/MCA/MSc

Job Title: Gen AI Technical Lead/ Architect || Agentic AI || Immediate Joiners Only from Delhi NCR Experience: 8–14 Years Location: Noida/ Faridabad Work Mode: Full-time, Hybrid About the Role We are seeking an exceptional AI Architect with deep expertise in Agentic AI and Generative AI to lead the design, development, and deployment of next-generation autonomous AI systems. This role is pivotal in building LLM-powered agents , integrating memory, tool use, planning, and reasoning capabilities to create intelligent, goal-driven systems. As a technical leader, you will drive end-to-end AI initiatives—from cutting-edge research and architecture design to scalable deployment in cloud environments. Key Responsibilities Agentic AI Design & Implementation Architect and build LLM-based agents capable of autonomous task execution, memory management, tool usage, and multi-step reasoning. Develop modular, goal-oriented agentic systems using tools like LangChain , Auto-GPT , CrewAI , SuperAGI , and OpenAI Function Calling . Design multi-agent ecosystems with collaboration, negotiation, and task delegation capabilities. Integrate long-term and short-term memory (e.g., vector databases, episodic memory) into agents. Generative AI & Model Optimization Develop, fine-tune, and optimize foundation models (LLMs, diffusion models) using TensorFlow , PyTorch , or JAX . Apply model compression, quantization, pruning, and distillation techniques for deployment efficiency. Leverage cloud AI services such as AWS SageMaker , Azure ML , Google Vertex AI for scalable model training and serving. AI Research & Innovation Lead research in Agentic AI, LLM orchestration, and advanced planning strategies (e.g., ReAct, Tree of Thought, Reflexion, Autoformalism). Stay current with SOTA research; contribute to whitepapers, blogs, or top-tier conferences (e.g., NeurIPS, ICML, ICLR). Evaluate new architectures like BDI models , cognitive architectures (e.g., ACT-R, Soar), or neuro-symbolic approaches. Programming & Systems Engineering Strong coding proficiency in Python , CUDA , and TensorRT for model acceleration. Experience with distributed computing frameworks (e.g., Ray , Dask , Apache Spark ) for training large-scale models. Design and implement robust MLOps pipelines with Docker , Kubernetes , MLflow , and CI/CD systems. Required Skills & Qualifications 8–14 years of experience in AI/ML, with at least 2+ years hands-on with Agentic AI systems. Proven experience building, scaling, and deploying agent-based architectures. Strong theoretical foundation in machine learning, deep learning, NLP, and reinforcement learning. Familiarity with cognitive architectures, decision-making, and planning systems. Hands-on with LLM integration and fine-tuning (e.g., OpenAI GPT-4, Claude, LLaMA, Mistral, Gemini). Deep understanding of prompt engineering , function/tool calling , retrieval-augmented generation (RAG) , and memory management in agentic systems. Preferred (Nice to Have) Publications or open-source contributions in Agentic AI or Generative AI. Experience with simulation environments for training/test agents (e.g., OpenAI Gym, Unity ML-Agents). Knowledge of safety, ethics, and alignment in autonomous AI systems. About Damco: We are a global technology company with more than two decades of core IT experience. Our differentiators are technological prowess with unwavering back-end support on a wide range of technologies and industry-leading platforms. At Damco, we take pride in building innovative, efficient, and robust IT solutions for our clients. We match the client’s business goals with our technology expertise and immaculate execution capabilities to solve issues that matter to the end-user. Damco has developed hundreds of products and applications, redefined countless processes, built numerous technology teams and systems, and delivered significant financial results to customers from diverse verticals. We believe in empowering our people to perform and grow by offering opportunities, learning, and inspiration—to ‘act and accomplish’. If you are a self-starter looking for an open and collaborative work culture to excel in career, we are the place for you. Here is what you can expect from our work-culture.

Job Summary: We are looking for a skilled and proactive Machine Learning Applications Engineer with at least 6 years of industry experience and a strong foundation in DevOps practices . The ideal candidate will be responsible for building, deploying, and optimizing ML models in production environments, as well as ensuring robust infrastructure support for AI/ML pipelines. This role sits at the intersection of data science, machine learning engineering, and DevOps. Key Responsibilities: Design, develop, and deploy scalable ML models and applications into production environments. Build and manage end-to-end ML pipelines including data ingestion, model training, evaluation, versioning, deployment, and monitoring. Implement CI/CD pipelines tailored for ML workflows. Collaborate with data scientists, software engineers, and cloud architects to operationalize machine learning solutions. Ensure high availability, reliability, and performance of ML services in production. Monitor and optimize model performance post-deployment. Automate infrastructure provisioning using Infrastructure-as-Code (IaC) tools. Maintain strong documentation of ML systems, experiments, and deployment configurations. Required Skills & Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field. Minimum 6 years of professional experience in software engineering or ML engineering roles. Strong hands-on experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn. Proficiency in Python (and optionally Java, Scala, or Go). Solid experience with DevOps tools such as Docker, Kubernetes, Jenkins, GitLab CI/CD. Experience with cloud platforms like AWS, Azure, or GCP , particularly with AI/ML services and infrastructure. Knowledge of monitoring and logging tools (e.g., Prometheus, Grafana, ELK, CloudWatch). Strong understanding of ML Ops practices including model versioning, experiment tracking, and reproducibility. Preferred Qualifications: Experience with Kubeflow , MLflow , SageMaker , or Vertex AI . Familiarity with data engineering tools such as Apache Airflow, Spark, or Kafka. Understanding of data security and compliance best practices in ML deployments. Prior experience in deploying large-scale, low-latency ML applications in production.

Role Title: AI Platform Engineer Location: Bangalore (In Person in office when required) Part of the GenAI COE Team Key Responsibilities Platform Development and Evangelism: Build scalable AI platforms that are customer-facing. Evangelize the platform with customers and internal stakeholders. Ensure platform scalability, reliability, and performance to meet business needs. Machine Learning Pipeline Design: Design ML pipelines for experiment management, model management, feature management, and model retraining. Implement A/B testing of models. Design APIs for model inferencing at scale. Proven expertise with MLflow, SageMaker, Vertex AI, and Azure AI. LLM Serving And GPU Architecture Serve as an SME in LLM serving paradigms. Possess deep knowledge of GPU architectures. Expertise in distributed training and serving of large language models. Proficient in model and data parallel training using frameworks like DeepSpeed and service frameworks like vLLM. Model Fine-Tuning And Optimization Demonstrate proven expertise in model fine-tuning and optimization techniques. Achieve better latencies and accuracies in model results. Reduce training and resource requirements for fine-tuning LLM and LVM models. LLM Models And Use Cases Have extensive knowledge of different LLM models. Provide insights on the applicability of each model based on use cases. Proven experience in delivering end-to-end solutions from engineering to production for specific customer use cases. DevOps And LLMOps Proficiency Proven expertise in DevOps and LLMOps practices. Knowledgeable in Kubernetes, Docker, and container orchestration. Deep understanding of LLM orchestration frameworks like Flowise, Langflow, and Langgraph. Skill Matrix LLM: Hugging Face OSS LLMs, GPT, Gemini, Claude, Mixtral, Llama LLM Ops: ML Flow, Langchain, Langraph, LangFlow, Flowise, LLamaIndex, SageMaker, AWS Bedrock, Vertex AI, Azure AI Databases/Datawarehouse: DynamoDB, Cosmos, MongoDB, RDS, MySQL, PostGreSQL, Aurora, Spanner, Google BigQuery. Cloud Knowledge: AWS/Azure/GCP Dev Ops (Knowledge): Kubernetes, Docker, FluentD, Kibana, Grafana, Prometheus Cloud Certifications (Bonus): AWS Professional Solution Architect, AWS Machine Learning Specialty, Azure Solutions Architect Expert Proficient in Python, SQL, Javascript Email : diksha.singh@aptita.com

Kolkata,West Bengal,India +1 more Job ID 770160 Join our Team About this opportunity: We are looking for a Senior Machine Learning Engineer with 10+ years of experience to design, build, and deploy scalable machine learning systems in production. This is not a data science role — we are seeking an engineering-focused individual who can partner with data scientists to productionize models, own ML pipelines end-to-end, and drive reliability, automation, and performance of our ML infrastructure. You’ll work on mission-critical systems where robustness, monitoring, and maintainability are key. You should be experienced with modern MLOps tools, cloud platforms, containerization, and model serving at scale. What you will do: Design and build robust ML pipelines and services for training, validation, and model deployment. Work closely with data scientists, solution architects, DevOps engineers, etc. to align the components and pipelines with project goals and requirements. Communicate deviation from target architecture (if any). Cloud Integration: Ensuring compatibility with cloud services of AWS, and Azure for enhanced performance and scalability Build reusable infrastructure components using best practices in DevOps and MLOps. Security and Compliance: Adhering to security standards and regulatory compliance, particularly in handling confidential and sensitive data. Network Security: Design optimal network plan for given Cloud Infrastructure under the E// network security guidelines Monitor model performance in production and implement drift detection and retraining pipelines. Optimize models for performance, scalability, and cost (e.g., batching, quantization, hardware acceleration). Documentation and Knowledge Sharing: Creating detailed documentation and guidelines for the use and modification of the developed components. The skills you bring: Strong programming skills in Python Deep experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn, XGBoost). Hands-on with MLOps tools like MLflow, Airflow, TFX, Kubeflow, or BentoML. Experience deploying models using Docker and Kubernetes. Strong knowledge of cloud platforms (AWS/GCP/Azure) and ML services (e.g., SageMaker, Vertex AI). Proficiency with data engineering tools (Spark, Kafka, SQL/NoSQL). Solid understanding of CI/CD, version control (Git), and infrastructure as code (Terraform, Helm). Experience with monitoring/logging (Prometheus, Grafana, ELK). Good-to-Have Skills Experience with feature stores (Feast, Tecton) and experiment tracking platforms. Knowledge of edge/embedded ML, model quantization, and optimization. Familiarity with model governance, security, and compliance in ML systems. Exposure to on-device ML or streaming ML use cases. Experience leading cross-functional initiatives or mentoring junior engineers. Why join Ericsson? At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. What happens once you apply?

Your key responsibilities You will be working on large finance/tax transformations helping our clients leverage SAP to improve the tax function by supporting and automating internal and external operations of multinational tax departments. You will contribute and help toward developing a highly trained team, all the while handling activities with a focus on quality and commercial value. This is a highly regulated industry, so it is all about maintaining our reputation as trusted advisors by taking on bold initiatives and owning new challenges. Skills and attributes for success Delivering large projects/programs related to SAP implementations and transformations Ability to understand key tax processes and translate those requirements into SAP Work collaboratively with cross functional tax, advisory and assurance teams Provide input into thought leadership Build and mentor team members Deliver quality work in alignment with key business metrics To qualify for the role, you must have A bachelors degree in Information Systems and/or a master’s degree in Accounting, Tax Technology, Management Information Systems, or Computer Science or related field and Strong organizational and time management skills, with exceptional client-serving consulting skills Demonstrated ability to capture and synthesize business requirements Ability to lead a team, mentor counselees and manage client-serving business Demonstrated ability to successfully sell and deliver large enterprise programs Broad understanding of tax accounting and major tax processes Ideally, you’ll also have Experience implementing third-party direct or indirect tax systems (such as ONESOURCE, CorpTax, Vertex, Avalara, Longview, etc.) Experience defining data and reporting needs for a tax department ERP experience, including SAP and/or Oracle Experience managing large, multidisciplinary projects that impact tax (e.g., ERP implementations, tax co-sourcing engagements, finance transformations)

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Manager – Sales and Use Tax Indirect Tax has 9 sub-functions which manage Global accounts. Indirect Tax is spread across 8 GDS Locations. Our footprint extends to over 30+ countries in the world and looking at expanding it to over 50+ countries soon. We help country practices streamline and manage large engagements for several clients. Our team is Dynamic, culturally diverse and inclusive global workforce. Organized across geographic areas and business lines We drive high performance work culture. The opportunity An exciting opportunity with Sales and Use Tax Team. Assistance and coaching from some of the most engaging colleagues around. Opportunities for career and learning development. EY badges and Career mentoring The freedom and flexibility to handle your role Your Key Responsibilities Identify, document, and recommend client business requirements for implementing sales and use tax compliance processes and system improvements. Review and reconcile tax value notices and tax bills and interact with taxing jurisdictions to resolve discrepancies Expertise on Sales tax concepts and well versed with research tools like Vertex, Data handling, filings, Notices, Accounting etc Technically versatile and able to work with data from various sources of complexity and formats Monitor changes in State and Local tax legislation and rates incorporate changes timely into monthly procedures and update the team. Ability to communicate effectively and work competently with teams in other geographic locations Oversee returns reviewed by the senior by following the Standard operating procedures and update the Manager/Senior Manager on work related issues. Perform second level reviews and signs off returns reviewed by seniors. Enjoys working with people and developing people, with key focus on managing effective teams Prepare documentation and training presentations for US stakeholders as applicable. Skills And Attributes For Success Strong technical awareness of global indirect tax issues, knowledge of sales and use tax processes and data drivers. Experience leading a diverse, highly motivated team Involved in continuous improvement and the latest tax technologies To qualify for the role, you must have 8-12 years of experience in the domain Bachelor’s Degree or master’s degree Exhibit inclusive behavior in interactions with internal & external stakeholders with strong communication skills Knowledge on budgeting, reporting and billing and financial aspects of the projects. Ability to generate and plan work effort and manage project schedules/priorities with clear written and verbal communications and ability to travel for thirty percent of the time. Excellent time management, being able to work with several different clients and internal stakeholders. Ideally, you’ll also have Proficiency in Data visualization tools. Power Query, Power BI, etc. What We Look For We look for candidates with proven capabilities in driving multiple projects, with exception client management and project management experience What We Offer EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland and the UK – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career. Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next. Success, as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs. EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

Req ID: 333041 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a GCP Python Gen AI LLM RAG Vertex AI to join our team in Hyderabad, Telangana (IN-TG), India (IN). Required Qualifications: 4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education (Must Have) 2+ years working with GCP (Google Cloud Platform and its services ) or alternate public/hybrid cloud and a proven track record delivering products with cloud services and cloud architectures at scale. (Must Have) 2+ years of experience with Python (Must Have) 3+ years of experience with GenAI, LLMs, RAG, vector databases and conversational bots (Must Have) 1+ years of experience with Playbooks , Vertex AI (Must Have) Exposure to ADK (hands-on) and Voice AI (Good to have) , LangChain and/or LangGraph is a plus (Good to have) ,4+ years of Contact Center industry experience with design, development, testing, integration with vendors, CRMs and business applications. Proven knowledge in one or more of the contact center sub domains such as: IVR/IVA, NLU/NLP, Real Time Omni channel Agent experience and customer journey, CX/AX experience optimization using AI/ML (Artificial Intelligence/ Machine Learning) (Good to have) ,4+ years of experience with Node JS, JAVA, Spring Boot, Kafka, Distributed Caches (GemFire, Redis), Elastic Search technologies, GraphQL, and NoSQL Databases (Cassandra or Mongo), Graph Databases, Public Cloud Marketplace services (Good to have) ,2+ years of Deep Domain Driven Design experience with cloud native Microservices designed and developed for massive scale and seamless resiliency, deployed on PCF/VMWare Tanzu, K8s or Serverless cloud technologies. About NTT DATA NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

Job Id: R0000388529 Job Description About Us: As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Tech Overview: Every time a guest enters a Target store or browses Target.com, they experience the impact of Target’s investments in technology and innovation. We’re the technologists behind one of the most loved retail brands, delivering joy to millions of our guests, team members, and communities. Join our global in-house technology team of more than 4,000 of engineers, data scientists, architects, coaches and product managers striving to make Target the most convenient, safe and joyful place to shop. We use agile practices and leverage open-source software to adapt and build best-in-class technology for our team members and guests—and we do so with a focus on experimentation and continuous learning. Pyramid & Product Overview : We create enterprise-scale technology solutions that unlock value for Target’s team members, guests, and suppliers . Millions of guests reach out to the Service Centers for assistance every year, and our engineers power: Guest Service & CRM (Salesforce Service Cloud) Self-Service & Voice Assistants (Genesys Cloud CX, Voicebots, IVR) Agent Assist & Gen AI capabilities that lower handle time and raise satisfaction Telephony & Contact Routing (Verizon Voice, Google Voice/AI) These products sit inside the GUEST Portfolio Role Summary : As a Lead Engineer (L6) you will own the technical strategy, architecture, and delivery for multiple teams building full‑stack, AI‑enabled contact‑center products. You will guide architectural evolution, champion security and reliability, and scale Generative AI adoption across the portfolio.Key Responsibilities Define and communicate architectural vision for full‑stack and event‑driven systems, aligning to enterprise guardrails. Drive high‑stakes design decisions (build vs. buy, domain boundaries, data models) across products and teams. Lead, mentor, and grow engineers (L4–L5) through coaching, design reviews, and career guidance. Establish and monitor SLIs/SLOs ; partner with SRE to improve availability, latency, and cost efficiency. Champion secure‑by‑design practices ; conduct threat modeling, oversee penetration tests, and drive remediation at scale. Integrate Generative AI capabilities (LLMs, RAG, agents) into platform architecture, balancing innovation with risk. Influence portfolio roadmaps by articulating technical trade‑offs and business impact to senior leadership. Cultivate engineering culture focused on psychological safety, learning, and continuous improvement. Required Qualifications : 10+ years of software engineering experience with at least 3 years in a technical leadership/architect role. Demonstrated mastery of full‑stack development (React/TypeScript; Kotlin/Micronaut, Java/Spring, Python) and distributed system design. Proven track record operating mission‑critical, high‑scale platforms (99.9 %+ availability). Deep expertise in cloud architecture ( GCP preferred ), CI/CD automation, observability, and cost optimization. Extensive knowledge of application & infrastructure security, compliance (PCI‑DSS, GLBA, SOX), and incident management. Experience architecting and shipping AI‑powered capabilities (OpenAI, Vertex AI, Hugging Face, vector DBs) to production. Exceptional communication and influence skills; ability to translate complex concepts for diverse stakeholders. Preferred Skills : Expertise with Genesys Cloud CX, Salesforce Service Cloud, Verizon Voice , or other large‑scale telephony/IVR ecosystems. Experience leading enterprise‑wide modernization or platform migration initiatives. Contributions to open‑source or industry standards; conference speaking Know More About Us Here: Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging Competitive benefits We are proud to provide benefits that support you, your family and your future. Health and well-being Target in India (TII) prioritizes our people by offering healthcare support, fitness programs, teleheath benefits (i.e., screenings and consultations) and 24/7 confidential mental well-being telecounseling support. Financial well-being Your financial well-being is bright with TII's comprehensive flexible insurance program, National Pension System, learning assistance program, day care support and much more. Paid time off TII encourages work-life balance with paid time off like privilege, casual, bereavement and parental leaves that offer support in all stages of life. Competitive pay TII knows our people are everything and proudly provides equitable and competitive pay. Other benefits From digitalized cafeteria solutions to transportation services to broadband reimbursement, enjoy special everyday perks. Eligibility requirements may vary based on position, average hours worked, length of service and program requirements. Benefits are subject to change. Creating a culture of joy We bring out the best in each other every day. Inclusivity We value diverse voices and approaches. We act with authenticity and respect. We create equitable experiences for all. Connection We build trusted relationships. We collaborate across business functions. We recognize and celebrate progress. Drive We do what is right for Target, our team and guests. We deliver results that matter. We continually learn by valuing progress over perfection.