1489 Vertex Jobs - Page 7

Minimum qualifications: Bachelor's degree or equivalent practical experience. 5 years of experience in building integrated systems throughout the entire lifecycle (e.g., analyze, design, build, test, implement, and support). 5 years of experience designing and implementing in supply chain systems. Experience in Anaplan modeling and integration with other systems. Experience in Anaplan Model Builder with Business Planning. Experience in working with web or mobile application development, Unix/Linux environments, distributed and parallel systems, machine learning, information retrieval, networking, developing software systems or security software development. Preferred qualifications: Certification in Anaplan Solution architecture or Master Anaplanner. 5 years of experience in working with cross-functional teams to define requirements and manage technical projects. Experience with data analysis, Key Performance Indicator (KPIs) and reporting/dashboarding. Excellent technical process analysis skills to translate business requirements into solution design. About The Job At Google, we work at lightning speed. So when things get in the way of progress, the Business Systems Integration team steps in to remove those roadblocks. The team identifies time-consuming internal processes and then builds solutions that are reliable and scalable enough to work within the size and scope of the company. You listen to and translate Googler needs into high-level technical specifications, design and develop recommended systems and consult with Google executives to ensure smooth implementation. Whether battling large system processes or leveraging our homegrown suite of Google products for Googlers themselves, you help Googlers work faster and more efficiently. With your technical expertise, you build business applications and influence the design of features that improve the reliability of our applications and systems. You also define the scope of technical projects and oversee execution. It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll excel by leveraging Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale. We’ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours. Responsibilities Design, build, and maintain Anaplan models to support multiple aspects of business planning. Work with Data teams to reconcile differences with other systems. Refine and optimize Anaplan models to improve performance and accuracy across all regions. Integrate data from multiple sources into Anaplan, ensuring data accuracy, consistency, and reliability. Document models and processes. Test and validate Anaplan models for business requirements and performance. Work with Composite Service Operators (CSO), Business Compensation Operations, and Product Management to understand business requirements and translate them into Anaplan solutions. Work with Data Engineering and Business Operations teams to improve performance. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

Additional Locations: India-Haryana, Gurgaon Diversity - Innovation - Caring - Global Collaboration - Winning Spirit - High Performance At Boston Scientific, we’ll give you the opportunity to harness all that’s within you by working in teams of diverse and high-performing employees, tackling some of the most important health industry challenges. With access to the latest tools, information and training, we’ll help you in advancing your skills and career. Here, you’ll be supported in progressing – whatever your ambitions. Software Engineer-MLOps We are seeking an enthusiastic and detail-oriented MLOps Engineer to support the development, deployment, and monitoring of machine learning models in production environments. This is a hands-on role ideal for candidates looking to grow their skills at the intersection of data science, software engineering, and DevOps. You will work closely with senior MLOps engineers, data scientists, and software developers to build scalable, reliable, and automated ML workflows across cloud platforms like AWS and Azure Key Responsibilities include: Assist in building and maintaining ML pipelines for data preparation, training, testing, and deployment Support the automation of model lifecycle tasks including versioning, packaging, and monitoring Build and manage ML workloads on AWS (SageMaker Unified studio, Bedrock, EKS, Lambda, S3, Athena) and Azure (Azure ML Foundry, AKS, ADF, Blob Storage) Assist with containerizing ML models using Docker, and deploying using Kubernetes or cloud-native orchestrators Manage infrastructure using IaC tools such as Terraform, Bicep, or CloudFormation Participate in implementing CI/CD pipelines for ML workflows using GitHub Actions, Azure DevOps, or Jenkins Contribute to testing frameworks for ML models and data validation (e.g., pytest, Great Expectations). Ensure robust CI/CD pipelines and infrastructure as code (IaC) using tools like Terraform or CloudFormation Participate in diagnosing issues related to model accuracy, latency, or infrastructure bottlenecks Continuously improve knowledge of MLOps tools, ML frameworks, and cloud practices. Required Qualification: Bachelor's/Master’s in Computer Science, Engineering, or related discipline 7 years in Devops, with 2+ years in MLOps. Good Understanding of MLflow, Airflow, FastAPI, Docker, Kubernetes, and Git. Proficient in Python and familiar with bash scripting Exposure to MLOps platforms or tools such as SageMaker Studio, Azure ML, or GCP Vertex AI. Requisition ID: 610751 As a leader in medical science for more than 40 years, we are committed to solving the challenges that matter most – united by a deep caring for human life. Our mission to advance science for life is about transforming lives through innovative medical solutions that improve patient lives, create value for our customers, and support our employees and the communities in which we operate. Now more than ever, we have a responsibility to apply those values to everything we do – as a global business and as a global corporate citizen. So, choosing a career with Boston Scientific (NYSE: BSX) isn’t just business, it’s personal. And if you’re a natural problem-solver with the imagination, determination, and spirit to make a meaningful difference to people worldwide, we encourage you to apply and look forward to connecting with you!

Experience Required 610+ years in AI/ML development, with 3+ years of hands-on experience in Generative AI, RAG frameworks, and Agentic AI systems. Job Summary We are seeking highly skilled Generative AI Engineers to join a dynamic team focused on building enterprise-grade, production-ready AI systems using RAG and Agentic AI paradigms. The ideal candidates will have hands-on experience developing and fine-tuning LLM-based applications, integrating feedback loops, and implementing safeguards in regulated or complex business environments. Key Responsibilities Design, develop, and optimize RAG pipelines using frameworks such as LangChain, LlamaIndex, or custom built stacks. Implement Agentic AI architectures involving task-based agents, stateful memory, planning-execution workflows, and tool augmentation. Perform model fine-tuning, embedding generation, and evaluation of LLM outputs; incorporate human and automated feedback loops. Build and enforce guardrails to ensure safe, compliant, and robust model behaviorincluding prompt validation, output moderation, and access controls. Collaborate with cross-functional teams to deploy solutions in cloud-native environments such as Azure OpenAI, AWS Bedrock, or Google Vertex AI. Contribute to system observability via dashboards and logging, and support post-deployment model monitoring and optimization. Required Qualifications Proven production experience with RAG frameworks like LangChain, LlamaIndex, or custom-built solutions Solid understanding of Agentic AI design patterns: task agents, memory/state tracking, and orchestration logic Strong expertise in LLM fine-tuning, vector embeddings, evaluation strategies, and feedback integration Experience with implementing AI guardrails (e.g., moderation, filtering, prompt validation) Proficiency in Python, LLM APIs (OpenAI, Anthropic, Cohere, etc.), and vector database integration Familiarity with CI/CD pipelines, API integrations, and cloud-native deployment patterns Preferred Qualifications Experience working on AI projects in regulated environments (Banking domain) Hands-on experience with cloud AI platforms : Azure OpenAI, AWS Bedrock, or Google Vertex AI Knowledge of prompt engineering, RLHF, and LLM observability frameworks Experience building or leveraging internal LLM evaluation harnesses, agent orchestration layers, or compliance dashboards (ref:hirist.tech)

About The Role We are seeking a highly motivated and experienced Senior Data Scientist to join our growing data science team. This role is ideal for someone who thrives at the intersection of business and technology, has a strong foundation in machine learning, and can drive impactful AI initiatives from concept to production. The ideal candidate will have exposure to the metal or manufacturing industry and is proficient in working with cloud-based ML solutions (preferably Azure). Key Responsibilities Translate complex business problems into data science solutions by working closely with business stakeholders, product teams, and domain experts. Conduct problem scoping, solution framing, and feasibility assessments to define clear ML project goals and success metrics. Perform in-depth exploratory data analysis (EDA) to uncover hidden insights and relationships in large, high-dimensional datasets. Design and implement robust data preprocessing and feature engineering pipelines, using both structured and unstructured data. Develop and validate scalable, production-grade ML models including traditional ML (Random Forests, Gradient Boosting, SVM) and deep learning models (CNNs, RNNs, Transformers). Deploy, monitor, and maintain ML models in production environments using Azure ML (preferred), AWS Sagemaker, or Google Vertex AI. Implement end-to-end ML pipelines integrating data ingestion, preprocessing, training, evaluation, deployment, and monitoring (MLOps). Write clean, reusable, and well-documented code in Python following industry standards and MLOps principles (e.g., CI/CD, model versioning, automated testing). Use version control (e.g., Git), experiment tracking tools (e.g., MLflow), and containerization (Docker/Kubernetes) where applicable. Present technical concepts, insights, and recommendations to business and technical stakeholders in a clear and effective manner. Lead client engagements and influence decision-making through storytelling, data visualization, and domain-specific insights. Mentor and guide junior data scientists on technical approaches, project planning, and model evaluation. Foster a culture of innovation, collaboration, and continuous learning across cross-functional teams. Qualifications Bachelors or Masters degree in Metallurgy, Mechanical Engineering, Computer Science, Information Technology, or related disciplines from a top-tier institution (IIT/NIT or equivalent). 4+ years of hands-on experience in data science, machine learning, or applied AI. Prior work in manufacturing, metallurgy, or industrial domains is highly desirable. Proven track record of building and deploying machine learning solutions at scale (ref:hirist.tech)

Genpact is a global professional services and solutions firm striving to shape the future by delivering outcomes across 30+ countries. With a workforce of over 125,000 people, we are fueled by curiosity, agility, and the pursuit of creating lasting value for our clients. Our purpose revolves around the relentless pursuit of a world that works better for people. We serve and transform leading enterprises, including the Fortune Global 500, leveraging our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. We are looking for a Management Trainee/Assistant Manager - US Sales and Use Tax Compliance to join our team. In this role, you will ensure the timeliness and accuracy of all deliverables, provide guidance to the team on correct accounting treatment, and act as an escalation point when necessary. **Responsibilities:** The individual in this role will be responsible for the following day-to-day activities: **Business License:** - Coordinating with the Business License team and Sales Tax team to execute Business licenses, including renewal. **US Property Tax:** - Tracking and adhering to US Property Tax Returns filing deadlines. - Monitoring exemptions and exceptions per state. - Keeping track of new store openings/closures. - Reconciling assessment notices to PTMS Property Manager. - Handling PPTX accrual account reconciliation and booking monthly accrual and adjustment entries. **US Sales Tax:** - Managing vendor queries. - Maintaining all relevant documents. - Investigating and resolving open items through collaboration with different teams. - Ensuring adherence to internal/external US GAAP/SOX audits. **Qualifications we seek in you:** **Minimum qualifications:** - Accounting graduates with relevant experience; CA/CMA preferred. - Strong written and verbal communication skills. - Working experience with ERPs, especially Oracle, is preferred. - Experience with tools like Alteryx, AS400, PTMS, Vertex, Sovos, Bloomberg sites, and Middleware for tax rates would be advantageous. **Preferred qualifications:** - Strong Accounting and Analytical skills. - Proficiency in accounting principles and analytical skills. - Ability to prioritize work, multitask, and drive tasks to completion. - Proficient in Microsoft Excel and other applications. - Prior experience working remotely in a US time zone is a plus. - Attention to detail and understanding the financial impact of decisions are crucial. This role is based in Noida, India, and is a full-time position requiring a Bachelor's degree or equivalent. If you possess the required skills and qualifications, we encourage you to apply for this exciting opportunity.,

- Proficiency in LLM systems, prompt fine-tuning - experience with infrastructure management, model deployment, and optimization. - Understanding of cloud architecture, performance and scalability. - Experience with machine learning frameworks Health insurance Provident fund

About the Company: Think of TEKsystems Global Services (TGS) as the growth solution for enterprises today. We unleash growth through technology, strategy, design, execution and operations with a customer-first mindset for bold business leaders. We deliver cloud, data and customer experience solutions. Our partnerships with leading cloud, design and business intelligence platforms fuel our expertise. We value deep relationships, dedication to serving others and inclusion. We drive positive outcomes for our people and our business, and we stay true to our commitments and act in harmony with our words. We exist to create significant opportunity for people to achieve fulfillment through career success. Website https://www.teksystems.com/en/careers-in-india Position Summary: We are seeking a highly skilled and experienced AI/ML Engineer with 3-5 years of hands-on experience in developing and deploying advanced AI solutions, specifically focusing on Generative AI and Agentic AI. The ideal candidate will possess a strong understanding of large language models (LLMs), prompt engineering, and the principles behind building autonomous AI agents capable of reasoning, planning, and taking actions to achieve complex objectives. You will be instrumental in designing, implementing, and integrating these cutting-edge AI systems on leading cloud platforms (AWS, Azure, or GCP). Key Responsibilities: • Generative AI Development: Design, develop, and implement advanced generative AI models (e.g., LLMs, GANs, VAEs, Diffusion Models) for diverse applications such as content creation, code generation, data synthesis, or other relevant domains. • Agentic AI System Design & Implementation: Architect, develop, and deploy autonomous AI agents capable of breaking down complex goals, making decisions based on context, interacting with external tools and APIs, and taking multi-step actions to achieve objectives with minimal human intervention. • Prompt Engineering & Orchestration: Master prompt engineering techniques to optimize the behavior and output of LLMs and design sophisticated orchestration mechanisms for coordinating multiple AI agents in complex workflows. • Cloud Platform Deployment: Leverage expertise in AWS, Azure, or GCP to deploy, manage, and scale Generative and Agentic AI models and pipelines. Utilize relevant cloud services (e.g., AWS SageMaker, Azure ML, Google AI Platform, Kubernetes, serverless functions, MLOps tools). • Model Training & Optimization: Train, fine-tune, and optimize generative and agentic AI models for performance, scalability, reliability, and efficiency, utilizing large datasets and advanced techniques. • Tool Integration for Agents: Integrate AI agents with various external tools, APIs, and data sources to expand their capabilities and enable them to interact with real-world systems. • Data Management for AI: Work with large and diverse datasets, including data collection, cleaning, transformation, and feature engineering, to ensure high-quality input for both generative and agentic models. This includes handling unstructured data (PDFs, HTML, audio, video) for processing. • Research & Innovation: Stay abreast of the latest advancements in Generative AI, Agentic AI, LLMs, and multi-agent systems research. Experiment with new frameworks (e.g., LangChain, AutoGen, CrewAI, LangGraph, Semantic Kernel) and identify opportunities to apply novel techniques. • MLOps & Productionization: Implement robust MLOps practices for the full lifecycle of AI models, including versioning, continuous integration/continuous delivery (CI/CD), monitoring, and automated retraining. Ensure the reliability and scalability of deployed AI systems. • Evaluation & Responsible AI: Develop and implement rigorous evaluation frameworks for assessing the performance, safety, and ethical implications of generative and agentic AI systems. Promote and adhere to principles of responsible AI development. • Collaboration & Communication: Collaborate effectively with cross-functional teams (data scientists, software engineers, product managers, business stakeholders) to translate business requirements into technical solutions and communicate complex AI concepts clearly. Required Skills & Qualifications: • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a closely related quantitative field. • 3-5 years of hands-on experience in AI/ML engineering, with a demonstrable focus on Generative AI and/or Agentic AI projects. • Strong practical experience with Generative AI models (e.g., LLMs, Transformers, GANs, Diffusion Models) and their applications. • Hands-on experience in designing, building, and deploying autonomous AI agents or multi-agent systems, utilizing frameworks like LangChain, AutoGen, CrewAI, or LangGraph. • Proficiency in Python and strong experience with major ML frameworks such as TensorFlow, PyTorch, or Keras. • Demonstrated experience with prompt engineering techniques for optimizing LLM behavior. • Proven ability to deploy and manage AI/ML solutions on at least one major cloud platform: o AWS: Experience with services like SageMaker, EC2, Lambda, Bedrock, Open Search. o Azure: Experience with Azure Machine Learning, Azure Functions, Azure OpenAI Service. o GCP: Experience with Google AI Platform (Vertex AI), Cloud Functions. • Solid understanding of machine learning algorithms, deep learning architectures, natural language processing (NLP), and information retrieval techniques (e.g., RAG). • Familiarity with containerization technologies (Docker, Kubernetes). • Experience with MLOps principles and tools for model deployment, monitoring, and lifecycle management. • Excellent problem-solving, analytical, and critical thinking skills. • Strong verbal and written communication skills, with the ability to articulate complex technical concepts to diverse audiences. Preferred Skills (Nice to Have): • Experience with vector databases (e.g., Pinecone, Weaviate, FAISS, Azure AI Search) and knowledge graphs. • Familiarity with full-stack development, including building RESTful APIs using frameworks like FastAPI, Flask, or Django. • Experience with model evaluation tools like DeepEval, FMeval, or RAGAS. • Knowledge of prompt engineering frameworks (e.g., LangChain, LlamaIndex). • Knowledge of reinforcement learning and multi-agent reinforcement learning. • Contributions to open-source AI projects or relevant publications. • Experience with data orchestration tools (e.g., Apache Airflow).

Job Description Designation and SRF Name- Technical CX Consultant role Role- Permanent/ Full time Panel and Hiring Manager- Sanjay Pathak Experience- 8-12 years relevant experience Location- Noida/ Gurgaon/ Pune/ Bangalore Shift- 12PM to 10PM (10 Hours Shift. Also depends on the project/work dependencies) Working Days- 5 days Work Mode- Hybrid Job Description: Highly skilled CX Consulting with deep expertise in CCaasS, Integrations, IVR, Natural Language Processing (NLP), Language Models, and scalable cloud-based solution deployment. Skills Technical Expertise: Having a deep understanding of Conversational AI, Smart Agent Assist, CCaaS and their technical capabilities. Stay current with industry trends, emerging technologies, and competitor offerings. Customer Engagement: Engage with prospective clients to understand their technical requirements and business challenges. Conduct needs assessments and provide tailored technical solutions. Solution Demonstrations: Deliver compelling product demonstrations that showcase the features and benefits of our solutions. Customize demonstrations to align with the specific needs and use cases of potential customers. Strong NLP and Language Model fundamentals (e.g., transformer architectures, embeddings, tokenization, fine-tuning). Expert in Python, with clean, modular, and scalable coding practices. Experience developing and deploying solutions on Azure, AWS, or Google Cloud Platform. Familiarity with Vertex AI, including Model Registry, Pipelines, and RAG integrations (preferred). Experience with PyTorch, including model training, evaluation, and serving. Knowledge of GPU-based inferencing (e.g., ONNX, Torch Script, Triton Inference Server). Understanding of ML lifecycle management, including MLOps best practices. Experience with containerization (Docker) and orchestration tools (e.g., Kubernetes). Exposure to REST APIs, gRPC, and real-time data pipelines is a plus. Degree in Computer Science, Mathematics, Computational Linguistics, AI, ML or similar field. PhD is a plus. Responsibilities Consulting and design end-to-end AI solutions for CX. Consulting engagement of scalable AI services on cloud infrastructure (Azure/AWS/GCP). Collaborate with engineering, product, and data teams to define AI-driven features and solutions. Optimize model performance, scalability, and cost across CPU and GPU environments. Ensure reliable model serving with a focus on low-latency, high-throughput inferencing. Keep abreast of the latest advancements in NLP, LLMs, and AI infrastructure.

Overview: TekWissen is a global workforce management provider throughout India and many other countries in the world. The below clientis a global company with shared ideals and a deep sense of family. From our earliest days as a pioneer of modern transportation, we have sought to make the world a better place one that benefits lives, communities and the planet Job Title: Specialty Development Consultant Location: Chennai Work Type: Hybrid Position Description: The new consultant shall take ownership of a highly specialised integration between SAP S/4 Hana ERP and Vertex O'Series tax decision services. His/her primary responsibility will include analysing the S/4 processes and data regarding tax decisions and manage the integration with Vertex O'Series on Demand. The analyst will be responsible to set-up and maintain the S/4 Vertex connectors Accelerator, Accelerator+, CFA, and SIC. This includes installation, upgrading and configuration of the tools, identifying and fixing issues, and ensure accuracy and reliability of tax decisions. The agency must have advanced skills in SAP and Vertex technology, in business analysis and the tax business. He/she must work closely with the S/4 teams and the (tax) business teams at the client. Advanced communication skills are essential to work in the Global team. Skills Required: SAP S4 HANA, Vertex, Advanced Business Application Programming (ABAP) Skills Preferred: Requirements Analysis, Agile Software Development, IT Operations Experience Required: Strong technical knowledge of Vertex tools-Accelerator, CFA, Accelerator+, SIC Implementation (user exits, BADIs), configuration, connectivity with Vertex O'Series on Demand. Strong functional knowledge of SAP S/4 Hana modules and integration with Vertex: Financial Accounting (AP, GL, AR, FA), SD, MM. 5+ years of experience with Vertex and SAP implementations Advanced communication skills in English (written and oral) Experience Preferred: Functional knowledge of SUT and VAT tax processes in North America, Europe and Asia-Pacific. Technical knowledge of SAP S4/HANA, including ABAP. Knowledge of tools: ALM, Rally, JIRA, Vertex Test Suite. Proficiency in Agile processes. Ability to create functional and technical specifications for RICEFW enhancements. Experience as consultant in automotive business Business Analysis and Project Management Education Required: Bachelor's Degree Education Preferred: Certification Program TekWissen® Group is an equal opportunity employer supporting workforce diversity.

We are seeking an experienced and highly skilled Generative AI Engineer with strong hands-on experience in building and deploying AI/ML models, particularly in the domain of Generative AI. The ideal candidate will have deep technical expertise in Python, Flask, Google Cloud Platform (GCP), Vertex AI, prompt engineering, embeddings, and Retrieval-Augmented Generation (RAG) applications. Key Responsibilities: · Design, build, and deploy scalable AI/ML models using Python and Flask, tailored for real-time and batch processing. · Leverage Google Cloud Platform (GCP) services, particularly Vertex AI, for training, hosting, and managing machine learning models. · Develop and optimize RAG (Retrieval-Augmented Generation) pipelines using vector databases and embeddings. · Write and fine-tune prompts for Generative AI models ensuring alignment with application-specific goals. · Create APIs/endpoints for seamless model integration using Flask and RESTful design. · Collaborate closely with product managers, data scientists, and engineers to define and deliver GenAI-powered solutions. · Present findings, models, and technical strategies to both technical and non-technical stakeholders. Required Qualifications: · 8+ years of overall experience in AI/ML domain. · Minimum 2 years of experience specifically in Generative AI applications. · Proven hands-on experience with GCP, especially Vertex AI, AI Platform, and related ML services. · Strong Python programming skills, including development of Flask-based APIs. · Experience with RAG, vector search engines, and embedding models. · Solid understanding of prompt engineering and application of LLMs in production. · Familiarity with deep learning techniques and transformer-based architectures. · Excellent communication and documentation skills. Job Types: Permanent, Contractual / Temporary Pay: ₹600,000.00 - ₹1,000,000.00 per year Schedule: Day shift Application Question(s): How many years of experience do you have in Gen AI Development? Are you proficient in AI/ML & Python programing? Do you have prior experience into GCP & Vertex AI? We need to fill this position urgently. Are you an immediate joiner? Experience: AI/ML: 7 years (Required) Language: English (Required) Application Deadline: 27/07/2025 Expected Start Date: 01/08/2025

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 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 Vice President Primary Location India-Hyderabad Schedule Full-time Education Level Master's / Equivalent Job Posting Jul 24, 2025, 4:29:40 AM Unposting Date Ongoing Master Skills List Digital Job Category Full Time

AI Technical Lead Job Summary : We are seeking an experienced and innovative AI Technical Lead to drive the design, development, and deployment of AI-powered solutions across our organization. You will be responsible for leading a team of machine learning engineers, data scientists, and software developers, while collaborating with cross-functional teams to build scalable and intelligent products. Your role will blend hands-on technical expertise with leadership and strategic thinking. Key Responsibilities:  Lead the end-to-end technical delivery of AI/ML projects, from data ingestion to model deployment.  Design robust machine learning and deep learning models tailored to business needs.  Collaborate with product managers, stakeholders, and engineering teams to identify opportunities for AI applications.  Guide and mentor AI/ML engineers and developers; provide architectural and technical direction.  Establish best practices for model training, validation, versioning, and monitoring.  Ensure scalability, performance, and security of AI solutions in production environments.  Stay up to date with the latest AI trends, tools, and research; apply innovations where appropriate.  Review and approve technical design documents, code, and model performance metrics. Required Qualifications:  Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.  5+ years of experience in software development, with at least 2+ years in leading AI/ML teams or projects.  Strong proficiency in Python and frameworks such as TensorFlow, PyTorch, or Scikit-learn.  Experience deploying models in production using platforms like AWS SageMaker, Azure ML, or Google Vertex AI.  Solid understanding of data structures, algorithms, and software design principles.  Familiarity with MLOps practices and tools (e.g., MLflow, Kubeflow, Airflow).  Excellent communication skills with the ability to articulate complex concepts to non technical stakeholders. Preferred Qualifications:  Experience with LLMs, generative AI, or computer vision.  Background in big data technologies (e.g., Spark, Hadoop).  Published research or contributions to open-source AI projects.  Experience in regulated industries (e.g., healthcare, finance) is a plus. Job Type: Full-time Pay: ₹994,358.97 - ₹3,049,952.92 per year Benefits: Health insurance Paid sick time Paid time off Provident Fund Work Location: In person

Job Title: AI/ML Engineer Job Summary We are seeking a talented and passionate AI/ML Engineer with at least 3 years of experience to join our growing data science and machine learning team. The ideal candidate will have hands-on experience in building and deploying machine learning models, data preprocessing, and working with real-world datasets. You will collaborate with cross-functional teams to develop intelligent systems that drive business value. Key Responsibilities ● Design, develop, and deploy machine learning models for various business use cases. ● Analyze large and complex datasets to extract meaningful insights. ● Implement data preprocessing, feature engineering, and model evaluation pipelines. ● Work with product and engineering teams to integrate ML models into production environments. ● Conduct research to stay up to date with the latest ML and AI trends and technologies. ● Monitor and improve model performance over time. Required Qualifications ● Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field. ● Minimum 3 years of hands-on experience in building and deploying machine learning models. ● Strong proficiency in Python and ML libraries such as scikit-learn, TensorFlow, PyTorch, and XGBoost. ● Experience with training, fine-tuning, and evaluating ML models in real-world applications. ● Proficiency in Large Language Models (LLMs) – including experience using or fine-tuning models like BERT, GPT, LLaMA, or open-source transformers. ● Experience with model deployment, serving ML models via REST APIs or microservices using frameworks like FastAPI, Flask, or TorchServe. ● Familiarity with model lifecycle management tools such as MLflow, Weights & Biases, or Kubeflow. ● Understanding of cloud-based ML infrastructure (AWS SageMaker, Google Vertex AI, Azure ML, etc.). ● Ability to work with large-scale datasets, perform feature engineering, and optimize model performance. ● Strong communication skills and the ability to work collaboratively in cross-functional teams. Job Types: Full-time, Permanent Pay: ₹300,000.00 - ₹1,500,000.00 per year Benefits: Flexible schedule Paid sick time Paid time off Ability to commute/relocate: Mohali, Punjab: Reliably commute or planning to relocate before starting work (Preferred) Experience: Ai/ML: 2 years (Preferred) Work Location: In person

Redefine the future of customer experiences. One conversation at a time. We're changing the game with a first-of-its-kind, conversation-centric platform that unifies team collaboration and customer experience in one place. Powered by AI, built by amazing humans. Our culture is forward-thinking, customer-obsessed and built on an unwavering belief that connection fuels business and life; connections to our customers with our signature Amazing Service®, our products and services, and most importantly, each other. Since 2008, 100,000+ companies and 1M+ users rely on Nextiva for customer and team communication. If you're ready to collaborate and create with amazing people, let your personality shine and be on the frontlines of helping businesses deliver amazing experiences, you're in the right place. Build Amazing - Deliver Amazing - Live Amazing - Be Amazing Nextiva is currently seeking bright and talented individuals for a Principal Software Engineer position to join our expanding development team. This position is responsible for helping to drive technology efforts which may include architectural design, supporting existing applications, new application development, application testing, and user support. This developer will work with a growing team and help develop new systems from the ground up, as well as support existing applications. A commitment to collaborative problem solving, sophisticated design, and quality product is essential. As a Principal Software Engineer, you will assist in the development, implementation and management of technology-based business solutions to improve our product offerings. You will assist in the design, coding, testing, and implementation of software applications to meet both functional and technical requirements. The responsibilities of a Principal Engineer range from: designing systems; writing, developing, testing, and reviewing code; supporting existing applications; liaising with end users to fix defects, find solutions, and test them; adding functionality to applications by designing and implementing solutions; and more. Key Responsibilities Lead Software Delivery Across Teams: Collaborate with and guide one or more development teams to build and ship software solutions that solve complex, high-impact customer problems. Influence Strategic Technical Decisions: Play a critical role in driving architectural direction, technology selection, and long-term technical strategy across the engineering organization. Design and Develop Scalable Systems: Build robust, RESTful web applications and design highly available distributed systems that support real-time business communications at scale. Architect End-to-End Solutions: Tackle complex, cross-cutting challenges that span multiple services and architectural layers, ensuring cohesive and maintainable solutions. Embrace Cutting-Edge Technology: Leverage modern tools, patterns, and platforms to create scalable, resilient, and fault-tolerant systems that align with cloud-native principles. Shape the Technical Roadmap: Contribute to and help define the engineering roadmap, ensuring alignment with business goals, platform evolution, and industry best practices. Drive Customer-Centric Development: Work closely with the product management team to deeply understand user needs, prioritize features, and deliver value through thoughtful, customer-focused design. Champion Quality and Maintainability: Deliver testable, well-structured, and maintainable code while fostering a culture of engineering excellence and continuous improvement. Continuously Learn and Innovate: Stay ahead of emerging technologies and development practices, and foster an environment where learning and experimentation are encouraged. Required Skills & Expertise 10+ years of professional software development experience with a strong emphasis on Java-based systems , backend architecture, and cloud-native service design. Deep expertise in RESTful API design , microservices architecture , and scalable distributed systems . Extensive hands-on experience with: Java (11+) , Spring Boot , JPA/Hibernate Kafka , Redis , and both SQL (Postgres, MySQL) and NoSQL (MongoDB) databases Proficiency with modern build and package managers including Maven , Gradle , npm , and pip . Strong understanding of CI/CD practices , including pipeline creation, blue/green and canary deployments. Solid experience with distributed caching , performance tuning , and latency optimization . Familiarity with automated testing frameworks such as JUnit , TestNG , Mockito , and related testing strategies (unit, integration, regression). In-depth understanding of object-oriented design , design patterns , and enterprise architectural principles . Proficient with Linux/Unix-based systems , scripting tools, and command-line utilities. Strong focus on secure coding best practices , with experience in data protection, secure APIs, and access control. Demonstrated success in leading multi-team initiatives , implementing architectural improvements, and adopting new technologies at scale. Bonus Qualifications Industry experience in UCaaS/CCaaS , real-time communications, or VoIP platforms involving SIP , WebRTC , or RTP . Experience with observability tools like Datadog Familiarity with Domain-Driven Design (DDD) , hexagonal architecture , and event sourcing . Contributions to open-source projects , engineering blogs , or technical conference speaking . Preferred Experience & Technical Stack Core Technologies Languages & Frameworks: Java, Spring Boot, GraphQL (preferred), SQL Cloud & Platform Tools: Docker, Kubernetes, GCP Artifact Registry, GCP Storage, GCP Vertex AI Messaging & APIs: Kafka, REST APIs Data & Storage: Postgres, MongoDB, BigQuery, Redis, ElasticSearch Build, Deploy & CI/CD: Git, Gradle, GCP GCloud, Kubernetes, Artifact Registry/Artifactory Scripting & OS Tools: Bash, Unix/Linux command-line Microservice Lifecycle Experience Creating microservices with Spring Boot and well-structured RESTful APIs Building services using Git , Gradle , Docker , GCloud Deploying services via Kubernetes , GCP Artifact Registry , and GCloud deployment pipelines Total Rewards Our Total Rewards offerings are designed to allow our employees to take care of themselves and their families so they can be their best, in and out of the office. Our compensation packages are tailored to each role and candidate's qualifications. We consider a wide range of factors, including skills, experience, training, and certifications, when determining compensation. We aim to offer competitive salaries or wages that reflect the value you bring to our team. Depending on the position, compensation may include base salary and/or hourly wages, incentives, or bonuses. Medical - Medical insurance coverage is available for employees, their spouse, and up to two dependent children with a limit of 500,000 INR, as well as their parents or in-laws for up to 300,000 INR. This comprehensive coverage ensures that essential healthcare needs are met for the entire family unit, providing peace of mind and security in times of medical necessity. Group Term & Group Personal Accident Insurance - Provides insurance coverage against the risk of death / injury during the policy period sustained due to an accident caused by violent, visible & external means. Coverage Type - Employee Only Sum Insured - 3 times of annual CTC with minimum cap of INR 10,00,000 Free Cover Limit - 1.5 Crore Work-Life Balance ️ - 15 days of Privilege leaves per calendar year, 6 days of Paid Sick leave per calendar year, 6 days of Casual leave per calendar year. Paid 26 weeks of Maternity leaves, 1 week of Paternity leave, a day off on your Birthday, and paid holidays Financial Security - Provident Fund & Gratuity Wellness ‍ - Employee Assistance Program and comprehensive wellness initiatives Growth - Access to ongoing learning and development opportunities and career advancement At Nextiva, we're committed to supporting our employees' health, well-being, and professional growth. Join us and build a rewarding career! Established in 2008 and headquartered in Scottsdale, Arizona, Nextiva secured $200M from Goldman Sachs in late 2021, valuing the company at $2.7B.To check out what's going on at Nextiva, check us out on Instagram, Instagram (MX), YouTube, LinkedIn, and the Nextiva blog. #LI-PJ1 #LI-Hybrid

Noida 5+Years As per Industry Standards At Acompworld, we are trusted technology partners to leading enterprises, transforming their most complex challenges into scalable, intelligent, and secure software solutions. We are looking for a seasoned Senior Full Stack Engineer who is passionate about building high-impact products and thrives in a client-facing, collaborative environment. Job Responsibilities Solution Architecture: Lead the design,development, and deployment of sophisticated, secure, and scalable applicationsusing modern front-end and back-end technologies. AI-Powered Innovation: Integrate and leverageAI/ML services (e.g., OpenAI, Azure AI, Google Vertex AI) to build intelligentfeatures and automate business processes for our enterprise clients. Cloud & DevOps: Architect and managerobust solutions on AWS, Azure, or GCP. Champion a strong DevOps culture bybuilding and maintaining automated CI/CD pipelines using Infrastructure as Code(IaC), Docker, and Kubernetes. Observability & Performance: Implement and manage monitoring, logging, and alertingsolutions (e.g., using Datadog, Prometheus, Grafana, ELK Stack) to ensure highavailability and performance of production systems. Data-Driven Systems: Design and implementsolutions that involve complex data models and integrate with large-scaledatabases and data pipelines. Client Partnership: Collaborate directlywith enterprise stakeholders to translate complex business requirements intodetailed technical specifications, lead solution demos, and iteratively refineproducts based on feedback. Team Mentorship & Quality Advocacy: Mentor junior engineers, conduct rigorous code reviews, andenforce best practices in testing, security (OWASP Top 10), and accessibility(WCAG/ADA) to ensure enterprise-grade quality. Required Skills Frontend: Expert proficiency inat least one modern framework (React, Angular, or Vue) with TypeScript. Deepunderstanding of state management (e.g., Redux, Zustand, NgRx), modern CSS, andbuilding responsive, accessible UIs. Backend: Proven experience withone or more server-side languages (Node.js, Python, .NET Core, Java), includingdesigning and building secure RESTful and/or GraphQL APIs. Databases: Advanced proficiencywith both SQL (e.g., PostgreSQL, SQL Server) and NoSQL (e.g., MongoDB,DynamoDB, Cosmos DB) databases, including data modeling and performance tuning. Cloud Platform: Demonstrable experiencedeploying and managing production applications on AWS, Azure, or GCP (includingserverless, containers, IAM, and networking). DevOps & IaC: Hands-on experience withCI/CD tools (e.g., GitHub Actions, Jenkins, Azure DevOps) and Infrastructure asCode (e.g., Terraform, CloudFormation). Strong knowledge of Docker andcontainer orchestration with Kubernetes. Architecture & Integration: Solid understanding of microservices and event-drivenarchitecture. Proven experience integrating with enterprise systems (e.g., SAP,Salesforce, Oracle) and third-party services (e.g., Auth0, Stripe). Soft Skills: Exceptionalcommunication, problem-solving, and leadership skills. Ability to workautonomously and translate ambiguous client needs into concrete technicalsolutions. Nice-to-Have Skills Experience within aspecific enterprise domain (e.g., Energy, Manufacturing, Supply Chain,Healthcare). Relevant cloudcertifications (e.g., AWS Certified Solutions Architect, Azure DeveloperAssociate). Experience with datavisualization libraries or tools (e.g., D3.js, Power BI, Tableau). Educational Qualifications: B.Tech / M.Tech / MCA

Senior Manager EXL/SM/1409401 Digital SolutionsNoida Posted On 23 Jul 2025 End Date 06 Sep 2025 Required Experience 8 - 15 Years Basic Section Number Of Positions 1 Band C2 Band Name Senior Manager Cost Code D014959 Campus/Non Campus NON CAMPUS Employment Type Permanent Requisition Type New Max CTC 18.0000 - 27.0000 Complexity Level Not Applicable Work Type Hybrid – Working Partly From Home And Partly From Office Organisational Group EXL Digital Sub Group Digital Solutions Organization Digital Solutions LOB CX Transformation Practice SBU CX Delivery Country India City Noida Center Noida - Centre 59 Skills Skill GOOGLE CCAI PYTHON SOLUTION ARCHITECT TECHNICAL ARCHITECTURE Minimum Qualification B TECH Certification No data available Job Description EXL is seeking an enthusiastic Google CCAI Architect to join our rapidly expanding Google Practice team. As an Architect, you will be responsible for providing technical solutions to meet the various needs of our clients. You will serve as a lead to the Google delivery practice and work as part of a team of professionals that play a key role in implementing solutions and delivering results. You will enjoy involvement in the full-life cycle of an implementation project, while interacting closely with the client to meet specific needs throughout the process. Responsibilities: Lead voice and digital AI Self-Service solutions for large, multi-location contact centers Design, develop and implement AI self-service applications with Google CCAI Ability to interface with clients, lead design decisions and drive towards defining solution requirements and technical design Serve as a project lead for the Google Delivery practice for assigned Google CCAI projects Collaborate with project team members to provide input to conversation design specifications Integrate to backend systems using web services, databases, and reporting Perform Unit Testing of developed code Assist with System and Functional Testing Required Skills/Experience: 8+ years of architect experience overall 4+ years of experience with DF ES/CX 2+ years of technical on-hands experience with Google Cloud CCAI Google Certification a plus and/or Badge completion required Knowledge of Cloud Services Architecture, Apigee, Vertex AI Ability to support multiple projects at the same time Experience in managing large multi-site contact center implementations Experience managing and guiding developers or interest in doing so Experience in writing Solution Document Designs/specifications for IVA applications Experience with Speech-to-Text and Text-to-Speech services such as Nuance, Google and Amazon Proficient in Java, JavaScript, .NET, C#, HTML, SQL and Python etc. Must be able to work independently, be organized, self-motivated, and have attention to detail Excellent communication skills, both written and verbal Experience developing solutions using Java, Python, R, HTML, JavaScript, Node.js , AngularJS, C#, .Net, SQL, SDK development, Objective C, Swift Support integrations with back-end data systems Web Services REST API, Soap Databases SQL, Oracle, MongoDB, PostgreSQL Reporting Candidate must have a 4-year bachelor s degree Desired, not required: Experience managing staff 1 to 2 years Cisco CVP/WebexCCE/CC/UJet design and architecture experience VXML based IVR platforms such as CVP, GVP, AVP/AEP, Amazon Connect, five 9s Workflow Workflow Type Digital Solution Center

Job Title: Machine Learning Engineer – 3D Graphics Location: Visakhapatnam, UAE Experience: 6+years Job Type: Full-Time Role: We are seeking a highly skilled and innovative Machine Learning Engineer with 3D Graphics expertise . In this role, you will be responsible for developing and optimizing 3D mannequin models using machine learning algorithms, computer vision techniques, and 3D rendering tools. You will collaborate with backend developers, data scientists, and UI/UX designers to create realistic, scalable, and interactive 3D visualization modules that enhance the user experience. Key Responsibilities: 3D Mannequin Model Development: Design and develop 3D mannequin models using ML-based body shape estimation. Implement pose estimation, texture mapping, and deformation models. Use ML algorithms to adjust measurements for accurate sizing and fit. Machine Learning & Computer Vision: Develop and fine-tune ML models for body shape recognition, segmentation, and fitting. Implement pose detection algorithms using TensorFlow, PyTorch, or OpenCV. Use GANs or CNNs for realistic 3D texture generation. 3D Graphics & Visualization: Create interactive 3D rendering pipelines using Three.js, Babylon.js, or Unity. Optimize mesh processing, lighting, and shading for real-time rendering. Use GPU-accelerated techniques for rendering efficiency. Model Optimization & Performance: Optimize inference pipelines for faster real-time rendering. Implement multi-threading and parallel processing for high performance. Utilize cloud infrastructure (AWS/GCP) for distributed model training and inference. Collaboration & Documentation: Collaborate with UI/UX designers for seamless integration of 3D models into web and mobile apps. Maintain detailed documentation for model architecture, training processes, and rendering techniques. Key Skills & Qualifications: Experience: 5+ years in Machine Learning, Computer Vision, and 3D Graphics Development. Technical Skills: Proficiency in Django, Python, TensorFlow, PyTorch, and OpenCV. Strong expertise in 3D rendering frameworks: Three.js, Babylon.js, or Unity. Experience with 3D model formats (GLTF, OBJ, FBX). Familiarity with Mesh Recovery, PyMAF, and SMPL models. ML & Data Skills: Hands-on experience with GANs, CNNs, and RNNs for texture and pattern generation. Experience with 3D pose estimation and body measurement algorithms. Cloud & Infrastructure: Experience with AWS (SageMaker, Lambda) or GCP (Vertex AI, Cloud Run). Knowledge of Docker and Kubernetes for model deployment. Graphics & Visualization: Knowledge of 3D rendering engines with shader programming. Experience in optimization techniques for rendering large 3D models. Soft Skills: Strong problem-solving skills and attention to detail. Excellent collaboration and communication skills. Interested candidates can send their updated resume to: careers@onliestworld.com Job Type: Full-time

Summary Position Summary Senior Consultant–Tax Technology Consulting – Oracle EBS Do you have a passion to work for US-based clients of Deloitte Tax and transform their current state of tax to the next generation of tax functions? Are you ready to take the next step in your career to find new methods and processes to assist clients in improving their tax operations? Are you ready to fulfill your potential and want to have a significant impact on global initiatives? If the answer to all the above is “Yes,” come join the Tax Technology Consulting group in Deloitte India (Offices of the U.S), a service line of Deloitte Tax LLP! Deloitte Tax Services India Private Limited commenced operations in June 2004. Since then, nearly all of the Deloitte Tax LLP (“Deloitte Tax”) U.S. service lines have obtained support through Deloitte Tax in India. Deloitte Tax in India offers you opportunities to gain experience U.S. taxation, a much sought-after career option. At Deloitte , we are leading clients through the tax transformation taking place in the marketplace. We offer a broad range of fully integrated tax services and add greater impact to clients by combining technology and tax technical resources to uncover insights and smarter solutions for navigating an increasingly complex global environment. Work you will do Increasingly complex tax decisions can have a significant effect—positive or negative—on the future of our clients’ business.Ourapproachcombinesinsightandinnovationfrommultipledisciplineswithbusinessandindustryknowledge to help our clients excelglobally. Key responsibilities will be: - ü Conduct Client workshops ü Gather and document tax requirements for business and performing system fit and gapanalysis ü Advising clients on Tax department strategy/policy including Tax assessment from a people, process, technology, and governance point of view ü Process improvements, redesigning client tax departments and evaluating automation opportunities ü Work on design and development of tax solutions ü Conductuseracceptancetestingtocompilecomprehensivetestscenariosandidentifyflawsaswellasimprovements to newly built systems andprocesses Qualification And Experience Required – ü Full time Masters/Bachelor’s in Engineering/Finance/Accounts or equivalent from reputedUniversity ü MBA or Chartered Accountant with experience in Finance, Accounting, Taxation andAuditing ü 4 - 7 years of experience Oracle EBS finance modules or Oracle Financials Cloud modules that impact tax. ü Preferred experience with the following Oracle modules: E-BusinessTax/Oracle ERP cloud tax module, (Withholding Taxapplication) Trading CommunityArchitecture Order Management /iStore Accounts Receivables Purchasing /iExpense AccountsPayable, (Withholding Taxapplication) Supplier Master / iSupplier Portal FixedAssets ProjectAccounting GeneralLedger Oracle BI ü Financial consolidation processes and applications (e.g., Hyperionapplications) ü Proficiency in MS Office applications, specifically Excel, Word, PowerPoint, andAccess ü Effective communication with strong relationship managementskills ü Team player, adhering to the timelines for finishingdeliverables ü Strong project management and leadershipabilities ü Relentlessfocusonqualityofworkproductswhileadheringtocompletingdeliverablesontime Preferred: ü Knowledgeofbusinessandtaxprocesses,creatingfunctionalspecifications,identifying,and developing requirements for new reports, preparing test scripts, and providing user training andsupport ü Indirect Tax (VAT, Sales/Use) and/or Direct tax (income, provision), withholding taxexperience ü Knowledge of country specific localization capabilities of Oracle EBS and Oracle fusion applications ü Experience with third party tax software like Vertex, ONESOURCE, SOVOS (Taxware), Avalara etc. ü Basic or advanced knowledge of PL/SQL The Team Tax Technology Consulting (TTC) - Ever expanding regulations and increasing scrutiny on multinational corporations has made it necessary for leading-edge tax departments to serve a critical role in the risk management and overall performance of the enterprise. This has resulted in an opportunity for Deloitte to provide even greater value through our tax services, in helping develop tax departments of the future that are strategic, agile, and focused on creating value for the business. Deloitte's TMC group helps our clients’ tax department move forward from their current state to the next generation of taxfunctionsandisdedicatedtofindingnewmethodsandprocessestoassistclientsinimprovingtheirtaxoperations. Deloitte Tax LLP professionals are aligned worldwide to serve our clients’ needs through the TMC group. Deloitte TMC teams include industry, tax, organizational change, technology, and co-sourcing specialists who can help make the necessary connections between our clients’ global strategies and the many options for carrying them out in the tax function. How You Will Grow At Deloitte, we have invested a great deal to create a rich environment in which our professionals can grow. We want all our people to develop in their own way, playing to their own strengths as they hone their leadership skills. And, as a part of our efforts, we provide our professionals with a variety of learning and networking opportunities—including exposure to leaders, sponsors, coaches, and challenging assignments—to help accelerate their careers along the way. No two people learn in the same way. So, we provide a range of resources including live classrooms, team- based learning, and eLearning. DU: The Leadership Center in India, our state-of-the-art, world-class learning Center in the Hyderabad offices is an extension of the Deloitte University (DU) in Westlake, Texas, and represents a tangible symbol of our commitment to our people’s growth and development. Explore DU: The Leadership Center in India . Deloitte supports your progression through a well-defined career path by providing challenging assignments, mentoring, and targeted trainings. Recent postgraduates begin as a consultant. The career path from there is to senior consultant, then manager, senior manager and onto a path to director, partner, or principal. Deloitte’s culture Our positive and supportive culture encourages our people to do their best work every day. We celebrate individuals by recognizing their uniqueness and offering them the flexibility to make daily choices that can help them to be healthy, centered, confident, and aware. We offer well-being programs and are continuously looking for new ways to maintain a culture that is inclusive, invites authenticity, leverages our diversity, and where our people excel and lead healthy, happy lives. Learn more about Life at Deloitte. Corporate citizenship Deloitte is led by a purpose: to make an impact that matters. This purpose defines who we are and extends to relationships with our clients, our people, and our communities. We believe that business has the power to inspire and transform. We focus on education, giving, skill-based volunteerism, and leadership to help drive positive social impact in our communities. Learn more about Deloitte’s impact on the world. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Benefits To Help You Thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 301196

JD for Data Science & Gen AI Delivery Lead | Job Title: Data Science & Gen AI Delivery Lead Location: Hyderabad, Bangalore, Kolhapur Experience: 8- 20 Years Notice: Immediate – 60 Days Job Type: Fulltime Mode of Work: Work from Office Role Summary: We are looking for a highly motivated and experienced Data Science & Generative AI Delivery Lead to spearhead AI solution delivery and ensure successful implementation of cutting-edge AI and Gen AI solutions. The ideal candidate will have a strong background in Data Science, Artificial Intelligence, and Generative AI, with proven experience in leading and delivering AI/ML projects across industries. Experience in Data Engineering is a strong plus. Required Skills and Qualifications: 8+ years of experience in Data Science and AI project execution and delivery. Proven experience in delivering enterprise-scale AI/ML solutions. Hands-on expertise in at least two of the following: predictive modeling, NLP, Gen AI, LLM-based applications. Experience in Gen AI solutions including LLM fine-tuning, prompt engineering, and RAG implementations. Strong knowledge of Python, ML frameworks (e.g., Scikit-learn, TensorFlow, PyTorch), and Gen AI frameworks (LangChain, LlamaIndex, Hugging Face). Familiarity with cloud-based AI services (Azure OpenAI, AWS Bedrock, Google Vertex AI). Experience working with vector databases (e.g., FAISS, Pinecone, Weaviate). Strong communication and leadership skills, with the ability to guide technical teams and engage with business stakeholders.

Position Title: Cloud Solutions Practice Head Location: Hyderabad, India (Travel as Needed) Reports To: CEO / Executive Leadership Team Employment Type: Full-Time | Senior Leadership Role Industry: Information Technology & Services | Cloud Solutions | AI & Digital Transformation Join the Future of Enterprise Cloud At BPMLinks , we are building a cloud-first future for enterprise clients across the globe. As our Cloud Solutions Practice Head , you won’t just lead a team, you’ll shape a legacy. Position Overview: BPMLinks LLC is seeking an accomplished and visionary Cloud Solutions Practice Head to establish and lead our newly launched Cloud Solutions Practice , aligning cloud innovation with business value creation. This is a pivotal leadership role that will oversee the full spectrum of cloud consulting, engineering, cost optimization, migration, and AI/ML-enabled services across our global delivery portfolio. The ideal candidate is a cloud thought leader with deep expertise across AWS, Azure, GCP , and modern data platforms (e.g., Snowflake, Databricks, Azure Data Factory, Oracle ). You will play a key role in scaling multi-cloud capabilities, building high-performing teams, and partnering with clients to drive cost efficiency, performance, security, and digital innovation. Key Responsibilities: 🔹 Practice Strategy & Leadership Define and execute the vision, roadmap, and service catalog for the Cloud Solutions Practice. Build a world-class delivery team of cloud architects, engineers, DevOps professionals, and data specialists. Align the practice’s capabilities with BPMLinks’ broader business transformation initiatives. 🔹 Cloud & Data Architecture Oversight Lead the design and deployment of scalable, secure, cost-optimized cloud solutions on AWS, Azure, and GCP. Direct complex cloud and data migration programs , including: Transitioning from legacy systems to Snowflake, Databricks, and BigQuery Data pipeline orchestration using Azure Data Factory, Airflow, Informatica Modernization of Oracle and SQL Server environments Guide hybrid cloud and multi-cloud strategies across IaaS, PaaS, SaaS, and serverless architectures. 🔹 Cloud Cost Optimization & FinOps Leadership Architect and institutionalize cloud cost governance frameworks and FinOps best practices. Leverage tools like AWS Cost Explorer, Azure Cost Management, and third-party FinOps platforms. Drive resource rightsizing, workload scheduling, RIs/SPs adoption, and continuous spend monitoring. 🔹 Client Engagement & Solution Delivery Act as executive sponsor for strategic accounts, engaging CXOs and technology leaders. Lead cloud readiness assessments, transformation workshops, and solution design sessions. Ensure delivery excellence through agile governance, quality frameworks, and continuous improvement. 🔹 Cross-Functional Collaboration & Talent Development Partner with sales, marketing, and pre-sales teams to define go-to-market strategies and win pursuits. Foster a culture of knowledge sharing, upskilling, certification, and technical excellence. Mentor emerging cloud leaders and architects across geographies. Cloud Services Portfolio You Will Lead: Cloud Consulting & Advisory Cloud readiness assessments, cloud strategy and TCO analysis Multi-cloud and hybrid cloud governance, regulatory advisory (HIPAA, PCI, SOC2) Infrastructure, Platform & Application Services Virtual machines, networking, containers, Kubernetes, serverless computing App hosting, API gateways, orchestration, cloud-native replatforming Cloud Migration & Modernization Lift-and-shift, refactoring, legacy app migration Zero-downtime migrations and DR strategies Data Engineering & Modern Data Platforms Snowflake, Databricks, BigQuery, Redshift Azure Data Factory, Oracle Cloud, Informatica, ETL/ELT pipelines DevOps & Automation CI/CD, Infrastructure-as-Code (Terraform, CloudFormation, ARM) Release orchestration and intelligent environment management Cloud Security & Compliance IAM, encryption, CSPM, SIEM/SOAR, compliance audits and policies Cost Optimization & FinOps Reserved instances, spot instances, scheduling automation Multi-cloud FinOps dashboards, showback/chargeback enablement AI/ML & Analytics on Cloud Model hosting (SageMaker, Vertex AI, Azure ML), RAG systems, semantic vector search Real-time analytics with Power BI, Looker, Kinesis Managed Cloud Services 24/7 monitoring (NOC/SOC), SLA-driven support, patching, DR management Training & Enablement Certification workshops, cloud engineering training, CoE development Required Qualifications: 15+ years of experience in enterprise IT and cloud solutions, with 5+ years in senior leadership roles Expertise in AWS, Azure, GCP (certifications preferred) Proven success in scaling cloud practices or large delivery units Hands-on experience with data platforms: Snowflake, Databricks, Azure Data Factory, Oracle In-depth understanding of FinOps principles, cost governance, and cloud performance tuning Excellent executive-level communication, strategic thinking, and client-facing presence Preferred Qualifications: Experience serving clients in regulated industries (healthcare, finance, public sector) Strong commercial acumen with experience in pre-sales, solutioning, and deal structuring MBA or advanced degree in Computer Science, Engineering, or Technology Management What We Offer: Opportunity to define and scale a global Cloud Practice from the ground up Direct influence on innovation, customer impact, and company growth Collaboration with a forward-thinking executive team and top-tier AI engineers Competitive compensation, performance-linked incentives, and potential equity Culture of ownership, agility, and continuous learning

Job Title: AI/ML Engineer Job Summary We are seeking a talented and passionate AI/ML Engineer with at least 3 years of experience to join our growing data science and machine learning team. The ideal candidate will have hands-on experience in building and deploying machine learning models, data preprocessing, and working with real-world datasets. You will collaborate with cross-functional teams to develop intelligent systems that drive business value. Key Responsibilities ● Design, develop, and deploy machine learning models for various business use cases. ● Analyze large and complex datasets to extract meaningful insights. ● Implement data preprocessing, feature engineering, and model evaluation pipelines. ● Work with product and engineering teams to integrate ML models into production environments. ● Conduct research to stay up to date with the latest ML and AI trends and technologies. ● Monitor and improve model performance over time. Required Qualifications ● Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field. ● Minimum 3 years of hands-on experience in building and deploying machine learning models. ● Strong proficiency in Python and ML libraries such as scikit-learn, TensorFlow, PyTorch, and XGBoost. ● Experience with training, fine-tuning, and evaluating ML models in real-world applications. ● Proficiency in Large Language Models (LLMs) – including experience using or fine-tuning models like BERT, GPT, LLaMA, or open-source transformers. ● Experience with model deployment, serving ML models via REST APIs or microservices using frameworks like FastAPI, Flask, or TorchServe. ● Familiarity with model lifecycle management tools such as MLflow, Weights & Biases, or Kubeflow. ● Understanding of cloud-based ML infrastructure (AWS SageMaker, Google Vertex AI, Azure ML, etc.). ● Ability to work with large-scale datasets, perform feature engineering, and optimize model performance. ● Strong communication skills and the ability to work collaboratively in cross-functional teams. Job Types: Full-time, Permanent Pay: ₹300,000.00 - ₹1,500,000.00 per year Benefits: Flexible schedule Paid sick time Paid time off Ability to commute/relocate: Mohali, Punjab: Reliably commute or planning to relocate before starting work (Preferred) Experience: Ai/ML: 2 years (Preferred) Work Location: In person

About Velsera Medicine moves too slow. At Velsera, we are changing that. Velsera was formed in 2023 through the shared vision of Seven Bridges and Pierian, with a mission to accelerate the discovery, development, and delivery of life-changing insights. Velsera provides software and professional services for: AI-powered multimodal data harmonization and analytics for drug discovery and development IVD development, validation, and regulatory approval Clinical NGS interpretation, reporting, and adoption With our headquarters in Boston, MA, we are growing and expanding our teams located in different countries! What will you do? Lead and participate in collaborative solutioning sessions with business stakeholders, translating business requirements and challenges into well-defined machine learning/data science use cases and comprehensive AI solution specifications. Architect robust and scalable AI solutions that enable data-driven decision-making, leveraging a deep understanding of statistical modeling, machine learning, and deep learning techniques to forecast business outcomes and optimize performance. Design and implement data integration strategies to unify and streamline diverse data sources, creating a consistent and cohesive data landscape for AI model development. Develop efficient and programmatic methods for synthesizing large volumes of data, extracting relevant features, and preparing data for AI model training and validation. Leverage advanced feature engineering techniques and quantitative methods, including statistical modeling, machine learning, deep learning, and generative AI, to implement, validate, and optimize AI models for accuracy, reliability, and performance. Simplify data presentation to help stakeholders easily grasp insights and make informed decisions. Maintain a deep understanding of the latest advancements in AI and generative AI, including various model architectures, training methodologies, and evaluation metrics. Identify opportunities to leverage generative AI to securely and ethically address business needs, optimize existing processes, and drive innovation. Contribute to project management processes, providing regular status updates, and ensuring the timely delivery of high-quality AI solutions. Primarily responsible for contributing to project delivery and maximizing business impact through effective AI solution architecture and implementation. Occasionally contribute technical expertise during pre-sales engagements and support internal operational improvements as needed. Requirements What do you bring to the table? A bachelor's or master's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Engineering) is required. The ideal candidate will have a strong background in designing and implementing end-to-end AI/ML pipelines, including feature engineering, model training, and inference. Experience with Generative AI pipelines is needed. 8+ years of experience in AI/ML development, with at least 3+ years in an AI architecture role. Fluency in Python and SQL and noSQL is essential. Experience with common data science libraries such as pandas and Scikit-learn, as well as deep learning frameworks like PyTorch and TensorFlow, is required. Hands-on experience with cloud-based AI/ML platforms and tools, such as AWS (SageMaker, Bedrock), GCP (Vertex AI, Gemini), Azure AI Studio, or OpenAI, is a must. This includes experience with deploying and managing models in the cloud. Benefits Flexible Work & Time Off - Embrace hybrid work models and enjoy the freedom of unlimited paid time off to support work-life balance Health & Well-being - Access comprehensive group medical and life insurance coverage, along with a 24/7 Employee Assistance Program (EAP) for mental health and wellness support Growth & Learning - Fuel your professional journey with continuous learning and development programs designed to help you upskill and grow Recognition & Rewards - Get recognized for your contributions through structured reward programs and campaigns Engaging & Fun Work Culture - Experience a vibrant workplace with team events, celebrations, and engaging activities that make every workday enjoyable & Many More..

Job Summary We are looking for a dynamic and detail-oriented Analyst or Senior Analyst to support our US Tax Financial Operations team. This role is best suited for early-career finance/tax professionals who are eager to build a strong foundation in US federal, state, and local tax compliance, reporting, and financial Responsibilities: Assist with US federal, state, and local tax filings, including income tax, sales & use tax, and property tax. Support tax compliance processes, including data collection, return preparation, and documentation. Help maintain reconciliations of tax general ledger accounts and prepare journal entries. Assist in year-end and quarterly tax provision calculations (ASC 740). Ensure timely filing of tax returns and payment of tax liabilities. Collaborate with the global tax team to ensure compliance with internal controls and SOX requirements. Support audits by preparing working papers and providing documentation to internal and external auditors. Participate in tax automation projects and process improvement initiatives. Stay current with US tax laws and IRS guidance relevant to corporate tax Qualifications: Bachelors degree in Accounting, Commerce, or Finance. (M.Com / MBA Finance / CA Inter / CPA Part Qualified is a plus) 0-3 years of relevant experience in US tax, corporate finance, or shared services environment. Basic understanding of US GAAP, ASC 740, and tax compliance cycles. Strong MS Excel skills; familiarity with ERP systems like Oracle, SAP, or Thomson Reuters ONESOURCE is a plus. Strong communication and collaboration skills for working with cross-border Skills: Internship or project experience in US taxation or financial operations. Exposure to tax tools/software like ONESOURCE, Vertex, Alteryx, or Workiva. Understanding of SOX compliance and internal control frameworks. (ref:iimjobs.com)

YASH Technologies is seeking to hire S/4 HANA FICO Professionals with expertise in various areas. As a seasoned SAP FICO professional, you will be responsible for analyzing technical requirements, collaborating with customers to develop project scope documents and Project Plans. Your role will involve working with cutting-edge technologies to bring positive changes in an evolving virtual world. Key Responsibilities: - Hands-on experience in S/4 HANA FI and CO modules - Proficiency in Financial accounting and Controlling processes - Knowledge of General Ledger Accounting and related functionalities - Familiarity with DMEE, Lock Box, EBS, and banking transactions - Experience in FI-SD, FI-MM, FI-PP Integration - Functional Testing and test script preparation - Understanding of Intercompany sales processes and related taxes - Expertise in Input Taxes, Output Taxes, Vertex, and Europe Taxation - Working knowledge of Fixed Assets, Investment Management, and Project Systems - Integration of Project Systems with Fixed Assets - Competence in Cost Center, Internal Order, Product Costing, and COPA - Familiarity with Fiori apps and Vendor invoice management processes - Ability to collaborate with technical teams and prepare functional specifications At YASH Technologies, you will have the opportunity to shape your career path in an inclusive team environment. We offer career-oriented skilling models and leverage technology for continuous learning and development. Our workplace culture is built on principles of flexible work arrangements, emotional positivity, self-determination, trust, transparency, and open collaboration. Join us for stable employment, great atmosphere, and an ethical corporate culture.,

EXL is seeking an enthusiastic Google CCAI Architect to join our rapidly expanding Google Practice team. As an Architect, you will be responsible for providing technical solutions to meet the various needs of our clients. You will serve as a lead to the Google delivery practice and work as part of a team of professionals that play a key role in implementing solutions and delivering results. You will enjoy involvement in the full-life cycle of an implementation project, while interacting closely with the client to meet specific needs throughout the process. Responsibilities Lead voice and digital AI Self-Service solutions for large, multi-location contact centers Design, develop and implement AI self-service applications with Google CCAI Ability to interface with clients, lead design decisions and drive towards defining solution requirements and technical design Serve as a project lead for the Google Delivery practice for assigned Google CCAI projects Collaborate with project team members to provide input to conversation design specifications Integrate to backend systems using web services, databases, and reporting Perform Unit Testing of developed code Assist with System and Functional Testing Required Skills/Experience 8+ years of architect experience overall 4+ years of experience with DF ES/CX 2+ years of technical on-hands experience with Google Cloud CCAI Google Certification a plus and/or Badge completion required Knowledge of Cloud Services Architecture, Apigee, Vertex AI Ability to support multiple projects at the same time Experience in managing large multi-site contact center implementations Experience managing and guiding developers or interest in doing so Experience in writing Solution Document Designs/specifications for IVA applications Experience with Speech-to-Text and Text-to-Speech services such as Nuance, Google and Amazon Proficient in Java, JavaScript, .NET, C#, HTML, SQL and Python etc. Must be able to work independently, be organized, self-motivated, and have attention to detail Excellent communication skills, both written and verbal Experience developing solutions using Java, Python, R, HTML, JavaScript, Node.js , AngularJS, C#, .Net, SQL, SDK development, Objective C, Swift Support integrations with back-end data systems Web Services REST API, Soap Databases SQL, Oracle, MongoDB, PostgreSQL Reporting Candidate must have a 4-year bachelor s degree Desired, Not Required Experience managing staff 1 to 2 years Cisco CVP/WebexCCE/CC/UJet design and architecture experience VXML based IVR platforms such as CVP, GVP, AVP/AEP, Amazon Connect, five 9s