1499 Vertex Jobs - Page 44

Position Title: AI/ML Engineer Company : Cyfuture India Pvt. Ltd. Industry : IT Services and IT Consulting Location : Sector 81, NSEZ, Noida (5 Days Work From Office) Website : www.cyfuture.com About Cyfuture Cyfuture is a trusted name in IT services and cloud infrastructure, offering state-of-the-art data center solutions and managed services across platforms like AWS, Azure, and VMWare. We are expanding rapidly in system integration and managed services, building strong alliances with global OEMs like VMWare, AWS, Azure, HP, Dell, Lenovo, and Palo Alto. Position Overview We are hiring an experienced AI/ML Engineer to lead and shape our AI/ML initiatives. The ideal candidate will have hands-on experience in machine learning and artificial intelligence, with strong leadership capabilities and a passion for delivering production-ready solutions. This role involves end-to-end ownership of AI/ML projects, from strategy development to deployment and optimization of large-scale systems. Key Responsibilities Lead and mentor a high-performing AI/ML team. Design and execute AI/ML strategies aligned with business goals. Collaborate with product and engineering teams to identify impactful AI opportunities. Build, train, fine-tune, and deploy ML models in production environments. Manage operations of LLMs and other AI models using modern cloud and MLOps tools. Implement scalable and automated ML pipelines (e.g., with Kubeflow or MLRun). Handle containerization and orchestration using Docker and Kubernetes. Optimize GPU/TPU resources for training and inference tasks. Develop efficient RAG pipelines with low latency and high retrieval accuracy. Automate CI/CD workflows for continuous integration and delivery of ML systems. Key Skills & Expertise 1. Cloud Computing & Deployment Proficiency in AWS, Google Cloud, or Azure for scalable model deployment. Familiarity with cloud-native services like AWS SageMaker, Google Vertex AI, or Azure ML. Expertise in Docker and Kubernetes for containerized deployments Experience with Infrastructure as Code (IaC) using tools like Terraform or CloudFormation. 2. Machine Learning & Deep Learning Strong command of frameworks: TensorFlow, PyTorch, Scikit-learn, XGBoost. Experience with MLOps tools for integration, monitoring, and automation. Expertise in pre-trained models, transfer learning, and designing custom architectures. 3. Programming & Software Engineering Strong skills in Python (NumPy, Pandas, Matplotlib, SciPy) for ML development. Backend/API development with FastAPI, Flask, or Django. Database handling with SQL and NoSQL (PostgreSQL, MongoDB, BigQuery). Familiarity with CI/CD pipelines (GitHub Actions, Jenkins). 4. Scalable AI Systems Proven ability to build AI-driven applications at scale. Handle large datasets, high-throughput requests, and real-time inference. Knowledge of distributed computing: Apache Spark, Dask, Ray. 5. Model Monitoring & Optimization Hands-on with model compression, quantization, and pruning. A/B testing and performance tracking in production. Knowledge of model retraining pipelines for continuous learning. 6. Resource Optimization Efficient use of compute resources: GPUs, TPUs, CPUs. Experience with serverless architectures to reduce cost. Auto-scaling and load balancing for high-traffic systems. 7. Problem-Solving & Collaboration Translate complex ML models into user-friendly applications. Work effectively with data scientists, engineers, and product teams. Write clear technical documentation and architecture reports. Show more Show less

We are seeking a highly skilled Development Lead with expertise in Generative AI and Large Language models to join our dynamic team. As a Development Lead, you will play a key role in developing cutting-edge AI models and systems for our clients. Your primary focus will be on driving innovation and leveraging generative AI techniques to create impactful solutions. The ideal candidate will have a strong technical background and a passion for pushing the boundaries of AI technology. Job Description: Responsibilities : Develop and implement creative experiences, campaigns, apps, and digital products, leveraging generative AI technologies at their core. Successful leadership and delivery of projects involving Cloud Gen-AI Platforms and Cloud AI Services, Data Pre-processing, Cloud AI PaaS Solutions, LLMs, Base Foundation Models, Fine Tuned models, working with a variety of different LLMs and LLM APIs. Conceptualize, Design, build and develop experiences and solutions which demonstrate the minimum required functionality within tight timelines. Collaborate with creative technology leaders and cross-functional teams to test feasibility of new ideas, help refine and validate client requirements and translate them into working prototypes, and from thereon to scalable Gen-AI solutions. Research and explore emerging trends and techniques in the field of generative AI and LLMs to stay at the forefront of innovation. Research and explore new products, platforms, and frameworks in the field of generative AI on an ongoing basis and stay on top of this very dynamic, evolving field Design and optimize Gen-AI Apps for efficient data processing and model leverage. Implement LLMOps processes, and the ability to manage Gen-AI apps and models across the lifecycle from prompt management to results evaluation. Evaluate and fine-tune models to ensure high performance and accuracy. Collaborate with engineers to develop and integrate AI solutions into existing systems. Stay up-to-date with the latest advancements in the field of Gen-AI and contribute to the company's technical knowledge base. Must-Have: Strong Expertise in Python development, and the Python Dev ecosystem, including various frameworks/libraries for front-end and back-end Python dev, data processing, API integration, and AI/ML solution development. Minimum 2 years hands-on experience in working with Generative AI Applications and Solutions. Minimum 2 years hands-on experience in working with Large Language Models Solid understanding of Transformer Models and how they work. Reasonable understanding of Diffusion Models and how they work. Hands-on Experience with building production solutions using a variety of different. Experience with multiple LLMs and models - including GPT-4o, Gemini, Claude, Llama, etc. Deep Experience and Expertise in Cloud Gen-AI platforms, services, and APIs, including Azure OpenAI, AWS Bedrock, and/or GCP Vertex AI. Solid Hands-on Experience working with Enterprise RAG technologies and solutions / frameworks - including LangChain, Llama Index, etc. Solid Hands-on Experience with developing end-to-end RAG Pipelines. Solid Hands-on Experience with Agent-driven Gen-AI architectures and solutions, and working with AI Agents. Hands-on experience with Single-Agent and Multi-Agent Orchestration solutions Solid Hands-on Experience with AI and LLM Workflows Experience with LLM model registries (Hugging Face), LLM APIs, embedding models, etc. Experience with vector databases (Azure AI Search, AWS Kendra, FAISS, Milvus etc.). Experience in data preprocessing, and post-processing model / results evaluation. Hands-on Experience with Diffusion Models and AI. Art models including SDXL, DALL-E 3, Adobe Firefly, Midjourney, is highly desirable. Hands-on Experience with Image Processing and Creative Automation at scale, using AI models. Hands-on experience with image and media transformation and adaptation at scale, using AI Art and Diffusion models. Hands-on Experience with dynamic creative use cases, using AI Art and Diffusion Models. Hands-on Experience with Fine-Tuning LLM models at scale. Hands-on Experience with Fine-Tuning Diffusion models and Fine-tuning techniques such as LoRA for AI Art models as well. Hands-on Experience with AI Speech models and services, including Text-to-Speech and Speech-to-Text. Ability to lead design and development teams, for Full-Stack Gen-AI Apps and Products/Solutions, built on LLMs and Diffusion models. Ability to lead design and development for Creative Experiences and Campaigns, built on LLMs and Diffusion models. Nice-to-Have: Good Background and Foundation with Machine Learning solutions and algorithms Experience with designing, developing, and deploying production-grade machine learning solutions. Experience with Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs). Experience with custom ML model development and deployment Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or Keras. Strong knowledge of machine learning algorithms and their practical applications. Experience with Cloud ML Platforms such as Azure ML Service, AWS Sage maker, and NVidia AI Foundry. Hands-on Experience with Video Generation models. Hands-on Experience with 3D Generation Models. Location: DGS India - Pune - Kharadi EON Free Zone Brand: Dentsu Creative Time Type: Full time Contract Type: Consultant Show more Show less

We are seeking a highly skilled Development Lead with expertise in Generative AI and Large Language models to join our dynamic team. As a Development Lead, you will play a key role in developing cutting-edge AI models and systems for our clients. Your primary focus will be on driving innovation and leveraging generative AI techniques to create impactful solutions. The ideal candidate will have a strong technical background and a passion for pushing the boundaries of AI technology. Job Description: Responsibilities : Develop and implement creative experiences, campaigns, apps, and digital products, leveraging generative AI technologies at their core. Successful leadership and delivery of projects involving Cloud Gen-AI Platforms and Cloud AI Services, Data Pre-processing, Cloud AI PaaS Solutions, LLMs, Base Foundation Models, Fine Tuned models, working with a variety of different LLMs and LLM APIs. Conceptualize, Design, build and develop experiences and solutions which demonstrate the minimum required functionality within tight timelines. Collaborate with creative technology leaders and cross-functional teams to test feasibility of new ideas, help refine and validate client requirements and translate them into working prototypes, and from thereon to scalable Gen-AI solutions. Research and explore emerging trends and techniques in the field of generative AI and LLMs to stay at the forefront of innovation. Research and explore new products, platforms, and frameworks in the field of generative AI on an ongoing basis and stay on top of this very dynamic, evolving field Design and optimize Gen-AI Apps for efficient data processing and model leverage. Implement LLMOps processes, and the ability to manage Gen-AI apps and models across the lifecycle from prompt management to results evaluation. Evaluate and fine-tune models to ensure high performance and accuracy. Collaborate with engineers to develop and integrate AI solutions into existing systems. Stay up-to-date with the latest advancements in the field of Gen-AI and contribute to the company's technical knowledge base. Must-Have: Strong Expertise in Python development, and the Python Dev ecosystem, including various frameworks/libraries for front-end and back-end Python dev, data processing, API integration, and AI/ML solution development. Minimum 2 years hands-on experience in working with Generative AI Applications and Solutions. Minimum 2 years hands-on experience in working with Large Language Models Solid understanding of Transformer Models and how they work. Reasonable understanding of Diffusion Models and how they work. Hands-on Experience with building production solutions using a variety of different. Experience with multiple LLMs and models - including GPT-4o, Gemini, Claude, Llama, etc. Deep Experience and Expertise in Cloud Gen-AI platforms, services, and APIs, including Azure OpenAI, AWS Bedrock, and/or GCP Vertex AI. Solid Hands-on Experience working with Enterprise RAG technologies and solutions / frameworks - including LangChain, Llama Index, etc. Solid Hands-on Experience with developing end-to-end RAG Pipelines. Solid Hands-on Experience with Agent-driven Gen-AI architectures and solutions, and working with AI Agents. Hands-on experience with Single-Agent and Multi-Agent Orchestration solutions Solid Hands-on Experience with AI and LLM Workflows Experience with LLM model registries (Hugging Face), LLM APIs, embedding models, etc. Experience with vector databases (Azure AI Search, AWS Kendra, FAISS, Milvus etc.). Experience in data preprocessing, and post-processing model / results evaluation. Hands-on Experience with Diffusion Models and AI. Art models including SDXL, DALL-E 3, Adobe Firefly, Midjourney, is highly desirable. Hands-on Experience with Image Processing and Creative Automation at scale, using AI models. Hands-on experience with image and media transformation and adaptation at scale, using AI Art and Diffusion models. Hands-on Experience with dynamic creative use cases, using AI Art and Diffusion Models. Hands-on Experience with Fine-Tuning LLM models at scale. Hands-on Experience with Fine-Tuning Diffusion models and Fine-tuning techniques such as LoRA for AI Art models as well. Hands-on Experience with AI Speech models and services, including Text-to-Speech and Speech-to-Text. Ability to lead design and development teams, for Full-Stack Gen-AI Apps and Products/Solutions, built on LLMs and Diffusion models. Ability to lead design and development for Creative Experiences and Campaigns, built on LLMs and Diffusion models. Nice-to-Have: Good Background and Foundation with Machine Learning solutions and algorithms Experience with designing, developing, and deploying production-grade machine learning solutions. Experience with Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs). Experience with custom ML model development and deployment Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or Keras. Strong knowledge of machine learning algorithms and their practical applications. Experience with Cloud ML Platforms such as Azure ML Service, AWS Sage maker, and NVidia AI Foundry. Hands-on Experience with Video Generation models. Hands-on Experience with 3D Generation Models. Location: DGS India - Pune - Kharadi EON Free Zone Brand: Dentsu Creative Time Type: Full time Contract Type: Consultant Show more Show less

🚨 We are Hiring 🚨 https://grhombustech.com/jobs/job-description-senior-test-automation-lead-playwright-ai-ml-focus/ Job Description Job Title: Senior Test Automation Lead – Playwright (AI/ML Focus) Location: Hyderabad Experience: 10 - 12 years Job Type: Full-Time Company Overview: GRhombus Technologies Pvt Ltd, a pioneer in Software Solutions – Especially on Test Automation, Cyber Security, Full Stack Development, DevOps, Salesforce, Performance Testing and Manual Testing. GRhombus delivery centres are located in India at Hyderabad, Chennai, Bengaluru and Pune. In the Middle East, we are located in Dubai. Our partner offices are located in the USA and the Netherlands. About the Role: We are seeking a passionate and technically skilled Senior Test Automation Lead with deep experience in Playwright-based frameworks and a solid understanding of AI/ML-driven applications. In this role, you will lead the automation strategy and quality engineering practices for next-generation AI products that integrate large-scale machine learning models, data pipelines, and dynamic, intelligent UIs. You will define, architect, and implement scalable automation solutions across AI-enhanced features such as recommendation engines, conversational UIs, real-time analytics, and predictive workflows, ensuring both functional correctness and intelligent behavior consistency. Key Responsibilities: Test Automation Framework Design & Implementation Design and implement robust, modular, and extensible Playwright automation frameworks using TypeScript/JavaScript. Define automation design patterns and utilities that can handle complex AI-driven UI behaviors (e.g., dynamic content, personalization, chat interfaces). Implement abstraction layers for easy test data handling, reusable components, and multi-browser/platform execution. AI/ML-Specific Testing Strategy Partner with Data Scientists and ML Engineers to understand model behaviors, inference workflows, and output formats. Develop strategies for testing non-deterministic model outputs (e.g., chat responses, classification labels) using tolerance ranges, confidence intervals, or golden datasets. Design tests to validate ML integration points: REST/gRPC API calls, feature flags, model versioning, and output accuracy. Include bias, fairness, and edge-case validations in test suites where applicable (e.g., fairness in recommendation engines or NLP sentiment analysis). End-to-End Test Coverage Lead the implementation of end-to-end automation for: Web interfaces (React, Angular, or other SPA frameworks) Backend services (REST, GraphQL, WebSockets) ML model integration endpoints (real-time inference APIs, batch pipelines) Build test utilities for mocking, stubbing, and simulating AI inputs and datasets. CI/CD & Tooling Integration Integrate automation suites into CI/CD pipelines using GitHub Actions, Jenkins, GitLab CI, or similar. Configure parallel execution, containerized test environments (e.g., Docker), and test artifact management. Establish real-time dashboards and historical reporting using tools like Allure, ReportPortal, TestRail, or custom Grafana integrations. Quality Engineering & Leadership Define KPIs and QA metrics for AI/ML product quality: functional accuracy, model regression rates, test coverage %, time-to-feedback, etc. Lead and mentor a team of automation and QA engineers across multiple projects. Act as the Quality Champion across the AI platform by influencing engineering, product, and data science teams on quality ownership and testing best practices. Agile & Cross-Functional Collaboration Work in Agile/Scrum teams; participate in backlog grooming, sprint planning, and retrospectives. Collaborate across disciplines: Frontend, Backend, DevOps, MLOps, and Product Management to ensure complete testability. Review feature specs, AI/ML model update notes, and data schemas for impact analysis. Required Skills and Qualifications: Technical Skills: Strong hands-on expertise with Playwright (TypeScript/JavaScript). Experience building custom automation frameworks and utilities from scratch. Proficiency in testing AI/ML-integrated applications: inference endpoints, personalization engines, chatbots, or predictive dashboards. Solid knowledge of HTTP protocols, API testing (Postman, Supertest, RestAssured). Familiarity with MLOps and model lifecycle management (e.g., via MLflow, SageMaker, Vertex AI). Experience in testing data pipelines (ETL, streaming, batch), synthetic data generation, and test data versioning. Domain Knowledge: Exposure to NLP, CV, recommendation engines, time-series forecasting, or tabular ML models. Understanding of key ML metrics (precision, recall, F1-score, AUC), model drift, and concept drift. Knowledge of bias/fairness auditing, especially in UI/UX contexts where AI decisions are shown to users. Leadership & Communication: Proven experience leading QA/Automation teams (4+ engineers). Strong documentation, code review, and stakeholder communication skills. Experience collaborating in Agile/SAFe environments with cross-functional teams. Preferred Qualifications: Experience with AI Explainability frameworks like LIME, SHAP, or What-If Tool. Familiarity with Test Data Management platforms (e.g., Tonic.ai, Delphix) for ML training/inference data. Background in performance and load testing for AI systems using tools like Locust, JMeter, or k6. Experience with GraphQL, Kafka, or event-driven architecture testing. QA Certifications (ISTQB, Certified Selenium Engineer) or cloud certifications (AWS, GCP, Azure). Education: Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related technical discipline. Bonus for certifications or formal training in Machine Learning, Data Science, or MLOps. Why Join Us? At GRhombus, we are redefining quality assurance and software testing with cutting-edge methodologies and a commitment to innovation. As a test automation lead, you will play a pivotal role in shaping the future of automated testing, optimizing frameworks, and driving efficiency across our engineering ecosystem. Be part of a workplace that values experimentation, learning, and professional growth. Contribute to an organisation where your ideas drive innovation and make a tangible impact. Show more Show less

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Google Cloud Platform Architecture Good to have skills : Google Cloud Machine Learning Services Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an AI/ML technical lead, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying CCAI and GenAI models as part of the solution, utilizing deep learning, neural networks and chatbots. Roles & Responsibilities: - Design and develop CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist. - Develop and implement chatbot solutions that integrate seamlessly with CCAI and other Cloud services - Integrate Dialogflow agents with various platforms, such as Google Assistant, Facebook Messenger, Slack, and websites. Hands-on experience with IVR integration and telephony systems such as Twilio, Genesys, Avaya - Integrate with IVR systems and Proficiency in webhook setup and API integration. - Develop Dialogflow CX - flows, pages, webhook as well as playbook and integration of tool into playbooks. - Creation of agents in Agent builder and integrating them into end end to pipeline using python. - Apply GenAI-Vertex AI models as part of the solution, utilizing deep learning, neural networks, chatbots, and image processing. - Work with Google Vertex AI for building, training and deploying custom AI models to enhance chatbot capabilities - Implement and integrate backend services (using Google Cloud Functions or other APIs) to fulfill user queries and actions. - Document technical designs, processes, and setup for various integrations. - Experience with programming languages such as Python/Node.js Professional & Technical Skills: - Must To Have Skills: CCAI/Dialogflow CX hands on experience and generative AI understanding. - Good To Have Skills: Cloud Data Architecture, Cloud ML/PCA/PDE Certification, - Strong understanding of AI/ML algorithms and techniques. - Experience with chatbot , generative AI models, prompt Engineering - Experience with cloud or on-prem application pipeline with production-ready quality. Additional Information: - The candidate should have a minimum of 5 years of experience in Google Cloud Machine Learning Services/Gen AI/Vertex AI/CCAI. - The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions. - A 15-year full time education is required Show more Show less

WhizzHR is hiring Media Solution Architect – AI/ML & Automation Focus Role Summary: We are seeking a Media Solution Architect to lead the strategic design of AI-driven and automation-centric solutions across digital media operations. This role involves architecting intelligent, scalable systems that enhance efficiency across campaign setup, trafficking, reporting, QA, and billing processes. The ideal candidate will bring a strong blend of automation, AI/ML, and digital marketing expertise to drive innovation and operational excellence. Key Responsibilities: Identify and assess opportunities to apply AI/ML and automation across media operations workflows (e.g., intelligent campaign setup, anomaly detection in QA, dynamic taxonomy validation). Design scalable, intelligent architectures using a combination of machine learning models, RPA, Python-based automation, and media APIs (e.g., Meta, DV360, YouTube). Develop or integrate machine learning models for use cases such as performance prediction, media mix modeling, and anomaly detection in reporting or billing. Ensure adherence to best practices in data governance, compliance, and security, particularly around AI system usage. Partner with business stakeholders to prioritize high-impact AI/automation use cases and define clear ROI and success metrics. Stay informed on emerging trends in AI/ML and translate innovations into actionable media solutions. Ideal Profile: 7+ years of experience in automation, AI/ML, or data science, including 3+ years in marketing, ad tech, or digital media. Strong understanding of machine learning frameworks for predictive modeling, anomaly detection, and NLP-based insight generation. Proficiency in Python and libraries such as scikit-learn, TensorFlow, pandas, or PyTorch. Experience with cloud-based AI platforms (e.g., Google Vertex AI, Azure ML, AWS Sagemaker) and media API integrations. Ability to architect AI-enhanced automations that improve forecasting, QA, and decision-making in media operations. Familiarity with RPA tools (e.g., UiPath, Automation Anywhere); AI-first automation experience is a plus. Demonstrated success in developing or deploying ML models for campaign optimization, fraud detection, or process intelligence. Familiarity with digital media ecosystems such as Google Ads, Meta, TikTok, DSPs, and ad servers. Excellent communication and stakeholder management skills, with the ability to translate technical solutions into business value. Kindly share your Resume at Hello@whizzhr.com Show more Show less

Are you an individual who wants to play a game changing role and make an impact in a fast-growing organization? We at Northern are waiting for you. Join us and unleash your potential!! We are hiring D365 Solution Architect!! Join the core group of founding members at the NTE India to build an organization from the ground up. PRIMARY OBJECTIVE OF POSITION: This position will be at the forefront of the continued ERP digital transformation journey acting as subject matter expert for the company’s Microsoft Dynamics 365 (D365) ERP migration from JD Edwards ERP as well as go forward D365 maintenance and feature management. This role will be overall responsible for driving architectural design and decisions, development, and implementation of scalable and secure architecture across multiple systems and platforms. MAJOR AREAS OF ACCOUNTABILITY: Lead consultant on the architecture, design, and implementation of Microsoft Dynamics 365 (D365) ERP solutions including but not limited to D365 F&O, D365 Commerce, Microsoft CRM, and Microsoft ISVs. Collaborate with business stakeholders, product owners, business analysts, and technical teams to understand requirements, and design robust solutions that meet business and technical best practices and support organization strategies. Provide technical and functional direction to systems and integration software engineers (internal and external to NTE) by designing end-to-end solutions that align with business needs, industry standards, enterprise architecture guidelines, and support digital transformation agenda by working to replace legacy systems with modern cloud-based solutions. Ensure seamless data flow and process automation across systems and business functions. Create, implement, and lead D365 feature management process. Consult on D365 release management topics such as but not limited to release notes reviews and upgrade strategies. Implement and oversee D365 licensing management process. Develop and lead future D365 storage management process. Provide input to Enterprise Architecture that helps build reference architecture, frameworks, and toolkits to drive scale of adoption in the ecosystem. Ensure that Enterprise Architecture guidelines and recommendations are followed. Develop and maintain a road map of the evolution of the ERP portfolio from current to future state with input provided from business, technology and vendor teams Deliver persuasive presentations to decision makers when introducing new/changing concepts, practices, and features. Develop high-quality documentation including architecture diagrams, solution blueprints, and technical/functional specifications. Promote and enforce standards and best practices for scalability, reusability, and cost minimization. Apply advanced knowledge and understanding of architecture, application systems design and integration to develop enterprise level application, extensions and integration solutions including major enhancements and interfaces, functions, and features. Oversee and/or consult on application architecture implementation and modification activities, particularly for new and/or shared enterprise application solutions. Keep supervisor informed of important developments, potential problems, and related information necessary for effective management. Coordinates and communicates plans and activities with others, as appropriate, to ensure a coordinated work effort and team approach. Perform related work as apparent or assigned. QUALIFICATIONS: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Bachelor's Degree in Engineering, Computer Science, Systems Analysis, or a related field. Master’s degree highly preferred. At least 5 years of D365 Architect experience. At least 5 years of ERP implementation consulting experience. Proven track record providing architecture leadership in ERP system migrations Strong grasp of integration technologies, middleware platforms, and system orchestration tools. Extensive experience with various information modeling techniques (such as data flow diagrams, entity-relationship diagrams, or create/read/update/delete matrices). Knowledge and experience with of all modules within D365 and in-depth knowledge in one or more modules such as Finance, Operations, or Commerce. Preferred candidates will have experience with implementing D365 Order Management. Preferred candidates will have certifications in: D365 Finance Functional Consultant Associate, D365 Supply Chain Management Functional Consultant Associate, D365 Finance and Operations Apps Developer Associate and Finance and Operations Apps Solution Architect Expert Extensive experience with D365 release/feature management, user roles/licensing, and database storage. Working knowledge of Microsoft Azure services including but not limited to API Gateway, function apps and Azure blob storage. High-level understanding of relational database management systems and other data structures. Knowledge of business process re-engineering principles and processes. Understanding of Infrastructure and Information/Data architecture. Exceptional interpersonal skills in areas such as teamwork, facilitation, and negotiation. Strong leadership skills through influencing. Excellent analytical and technical skills. Excellent written and verbal communication skills. Excellent planning and organizational skills. Ability to understand the long-term ("big picture") and short-term perspectives of situations. Ability to translate business needs into actionable architecture requirements. Ability to estimate the financial impact of architecture alternatives. Ability to apply multiple technical solutions to business problems. Ability to quickly comprehend the functions and capabilities of new technologies. TECHNICAL QUALIFICATIONS Understanding of the following: Azure DevOps (Repos using Git, Pipelines and CI/CD, Releases Management, Test Plans, Boards) Azure SQL Server Azure Logic Apps Azure Function Apps Azure API Management Azure Power Apps SSRS Development Power BI Dynamics 365 extensions development Dynamics 365 system administration including release/feature management, and user roles/licensing Dynamics 365 ISV integrations (MediusFlow, RF Smart, SK Global, Vertex) SQL Server Microsoft Data Factory v2 Microsoft Database Storage Management – Warehouse, Data Lakes, Dataverse Postman Visual Studio 2019 development including (Azure Function Apps, Logic Apps) D365 development using C#, .NET framework, and/or X++ Show more Show less

Job Title: AI Engineer Location: Remote Employment Type: Full-time About the Role: We are seeking a skilled and motivated AI Engineer to help us build intelligent, agentic systems that drive real-world impact. In this role, you will develop, deploy, and maintain AI models and pipelines - working with large language models (LLMs), vector databases, and orchestration frameworks like Langchain. You will collaborate across teams to build robust, scalable AI-driven solutions. Key Responsibilities- Design and develop intelligent systems using LLMs, retrieval-augmented generation (RAG), and agentic frameworks. Build and deploy AI pipelines using Langchain, vector stores, and custom tools.- Integrate models with production APIs and backend systems. Monitor, fine-tune, and improve performance of deployed AI systems.- Collaborate with data engineers, product managers, and UX designers to deliver AI-first user experiences. Stay up to date with advancements in generative AI, LLMs, and orchestration frameworks. Required Qualifications 2-5 years of experience in building and deploying machine learning or AI-based systems. Hands-on experience with Langchain in building agent workflows or RAG pipelines. Proficiency in Python and frameworks such as PyTorch, TensorFlow, or Scikit-learn. Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes). Strong understanding of prompt engineering, embeddings, and vector database operations (e.g., FAISS, Pinecone, Weaviate). Familiarity with MLOps tools such as MLflow, SageMaker, or Vertex AI. Preferred Qualifications Experience with large language models (e.g., GPT, Claude, LLaMA) and GenAI platforms (e.g., OpenAI, Bedrock, Anthropic). Background in NLP, RAG architectures, or autonomous agents. Experience in deploying AI applications via APIs and microservices. Contributions to open-source Langchain or GenAI ecosystems. Why Join Us? Remote-first company working on frontier AI systems. Opportunity to shape production-grade AI experiences used globally. Dynamic, collaborative, and intellectually curious team. Competitive compensation with fast growth pot Show more Show less

Job Title: Python Developer (GCP) Location: Chennai Experience: 7-12 Years Job Summary We are seeking a Python Developer (GCP) with deep expertise in Python , Google Cloud Platform (GCP) , and MLOps to lead end-to-end development and deployment of machine learning solutions. The ideal candidate is a versatile engineer capable of building both front-end and back-end systems, while also managing the automation and scalability of ML workflows and models in production. Required Skills & Experience Strong proficiency in Python, including OOP, data processing, and backend development. 3+ years of experience with Google Cloud Platform (GCP) and services relevant to ML & application deployment. Proven experience with MLOps practices and tools such as Vertex AI, MLflow, Kubeflow, TensorFlow Extended (TFX), Airflow, or similar. Hands-on experience in front-end development (React.js, Angular, or similar). Experience in building RESTful APIs and working with Flask/FastAPI/Django frameworks. Familiarity with Docker, Kubernetes, and CI/CD pipelines in cloud environments. Experience with Terraform, Cloud Build, and monitoring tools (e.g., Stackdriver, Prometheus). Understanding of version control (Git), Agile methodologies, and collaborative software development. Show more Show less

Company: A global client of KaN Talent Search (KTS) Location: Hyderabad, India (Hybrid - 3 days in office) Send resume to connect@kansearch.com Summary: We are seeking an experienced D365 Solution Architect to join our global client's team and lead their ERP digital transformation journey. This is a strategic role that will serve as the subject matter expert for Microsoft Dynamics 365 (D365) ERP migration and ongoing platform management. You'll be at the forefront of driving architectural design decisions, development, and implementation of scalable, secure solutions across multiple systems and platforms. Key Responsibilities Strategic Leadership & Architecture Lead architectural design and implementation of Microsoft Dynamics 365 (D365) ERP solutions including F&O, D365 Commerce, Microsoft CRM, and Microsoft ISVs Collaborate with business stakeholders, product owners, and technical teams to design robust solutions aligned with business strategies Provide technical direction to internal and external engineering teams, designing end-to-end solutions that meet industry standards and enterprise architecture guidelines D365 Platform Management Create and implement D365 feature management processes Consult on release management, upgrade strategies, and licensing optimization Develop and oversee storage management processes for D365 environments Enterprise Integration & Automation Ensure seamless data flow and process automation across business functions Design integration solutions including major enhancements, interfaces, and custom features Apply advanced knowledge of application systems design to develop enterprise-level solutions Documentation & Communication Develop comprehensive documentation including architecture diagrams, solution blueprints, and technical specifications Deliver persuasive presentations to decision-makers on new concepts and practices Maintain roadmaps for ERP portfolio evolution from current to future state Requirements Education & Experience Bachelor's degree in Engineering, Computer Science, Systems Analysis, or related field (Master's preferred) Minimum 5+ years of D365 Architect experience Minimum 5+ years of ERP implementation consulting experience Proven track record providing architecture leadership in ERP system migrations Experience in Retail and Commerce is critical Technical Expertise Comprehensive knowledge of all D365 modules with in-depth expertise in Finance, Operations, or Commerce Strong understanding of integration technologies, middleware platforms, and system orchestration tools Experience with information modeling techniques (data flow diagrams, entity-relationship diagrams, CRUD matrices) Working knowledge of Microsoft Azure services (API Gateway, Function Apps, Azure Blob Storage) Understanding of relational database management systems and data structures Preferred Certifications D365 Finance Functional Consultant Associate D365 Supply Chain Management Functional Consultant Associate D365 Finance and Operations Apps Developer Associate Finance and Operations Apps Solution Architect Expert Technical Skills Azure DevOps (Git Repos, CI/CD Pipelines, Release Management, Test Plans) Azure SQL Server, Logic Apps, Function Apps, API Management Power Apps, Power BI, SSRS Development D365 extensions development and system administration D365 ISV integrations (MediusFlow, RF Smart, SK Global, Vertex) Microsoft Data Factory v2, Database Storage Management Visual Studio development, C#, .NET framework, X++ SQL Server, Postman What we offer: Work-Life Balance & Flexibility Hybrid Work Model: Only 3 days per week in our state-of-the-art Hyderabad headquarters Traffic-Beat Flexibility: Option to leave office at 4 PM to avoid peak traffic, with flexibility to resume work from home Seamless Commute: Complimentary pick-up and drop-off transportation service provided Comprehensive Benefits Package Family Health Insurance: Complete medical coverage for you and your family Professional Development: Education and certification reimbursement programs to advance your career Best-in-Class Benefits: Industry-leading compensation and benefits programs designed for employee wellbeing Professional Growth Lead cutting-edge Microsoft D365 implementations for a global enterprise Work with the latest Azure technologies and cloud-based solutions Mentor technical teams and drive architectural decisions with worldwide impact Opportunity for continuous learning and professional development Join a dynamic team working with cutting-edge Microsoft technologies while enjoying excellent work-life balance, comprehensive benefits, and unmatched flexibility. This role offers the perfect blend of strategic technical leadership, personal convenience, and family security. About KaN Talent Search (KTS) KTS partners with leading global organizations to deliver exceptional talent solutions. Our client for this role is a prominent North American multinational corporation and leading retailer of tools, equipment, and outdoor power equipment. The company operates across multiple markets and is currently undergoing significant ERP modernization, offering exciting opportunities for professional growth and technical leadership in a dynamic, innovation-driven environment. Ready to lead the next generation of ERP architecture? Apply now to join our team and make a significant impact on enterprise digital transformation. Email your resume to connect@kansearch.com Show more Show less

Job Title - Indirect Tax Analyst/Consultant - S&C GN-CFO&EV Management Level: 11-Analyst / 09-Consultant Location: Gurgaon, Mumbai, Bangalore, Pune, Hyderabad Must have skills: Onesource or Vertex or Sabrix implementation Good to have skills: Avalara, Indirect Tax functional experience Experience: 2-7 years Educational Qualification: MBA(Finance) or CA or CMA Job Summary: Provide leading practice on tax processes and blueprint for the clients. Interact with clients to gather business tax requirements through multiple workshops. Analyze business requirements and identify best practices to implement a technical solution. Facilitate design sessions related to tax determination, calculation, recording, reporting and compliance. Prepare key deliverables such as design documents, build, test documentation, training materials and administration and procedural guides. Assist leaders on day-to-day operations as well as help create assets, points of view and business proposals. Roles & Responsibilities: Ability to drive solutions independently Adept at Microsoft power point, spreadsheet and power BI applications Ability to work with cross streams associated with multiple business processes stakeholders Strong writing skills to build point of views on current industry trends Good analytical and problem-solving skills with an aptitude to learn quickly Excellent communication, interpersonal and presentation skills Cross-cultural competence with an ability to thrive in a dynamic consulting environment Professional & Technical Skills: MBA from a Tier-1 B-school or CA or CPA 2-7 years of work experience preferably in financial areas order to cash, source to pay, record to report with tax relevance Strong Hands-on experience in integration and tool implementations in the following platforms: Tax Type - VAT, GST, SUT, WHT, Digital Compliance Reporting ERP - SAP or Oracle Tax Technologies - Vertex O Series, OneSource, SOVOS Tax add-on tools - Vertex Accelerator, OneSource Global Next, LCR-Dixon In-depth experience in functional configuration or integration of ERPs with external tax technologies to achieve higher automation Good experience of working on multiple tax types and business processes knowledge of tax processing Good understanding of tax technology landscape, trends and architecture Deep experience in transformation project through multiple phases – such as planning, requirement gathering, designing, building, testing and deployment Experience in analysis and implementation of tax requirements for indirect taxes (VAT, GST, SUT) and withholding taxes including their integration with supply chain, procurement, purchase-to-pay, record-to-report, order-to-cash, and so on Additional Information: An opportunity to work on transformative projects with key G2000 clients Potential to Co-create with leaders in strategy, industry experts, enterprise function practitioners and, business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed responsible business into everything—from how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge and capabilities Opportunity to thrive in a culture that is committed to accelerate equality for all. Engage in boundaryless collaboration across the entire organization. About Our Company | Accenture Show more Show less

What You’ll Do Handle data: pull, clean, and shape structured & unstructured data. Manage pipelines: Airflow / Step Functions / ADF… your call. Deploy models: build, tune, and push to production on SageMaker, Azure ML, or Vertex AI. Scale: Spark / Databricks for the heavy lifting. Automate processes: Docker, Kubernetes, CI/CD, MLFlow, Seldon, Kubeflow. Collaborate effectively: work with engineers, architects, and business professionals to solve real problems promptly. What You Bring 3+ years hands-on MLOps (4-5 yrs total software experience). Proven experience with one hyperscaler (AWS, Azure, or GCP). Confidence with Databricks / Spark, Python, SQL, TensorFlow / PyTorch / Scikit-learn. Extensive experience handling and troubleshooting Kubernetes and proficiency in Dockerfile management. Prototyping with open-source tools, selecting the appropriate solution, and ensuring scalability. Analytical thinker, team player, with a proactive attitude. Nice-to-Haves Sagemaker, Azure ML, or Vertex AI in production. Dedication to clean code, thorough documentation, and precise pull requests. Skills: mlflow,ml ops,scikit-learn,airflow,mlops,sql,pytorch,adf,step functions,kubernetes,gcp,kubeflow,python,databricks,tensorflow,aws,azure,docker,seldon,spark Show more Show less

Introduction A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe. You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio Your Role And Responsibilities As a managing consultant, you will serve as a client-facing practitioner working collaboratively with clients to deliver high-quality solutions and be a trusted business advisor with deep understanding of SAP Accelerate delivery methodology or equivalent and associated work products. You will lead design workshops, support business development activities and mentor and coach team members to develop their skills and knowledge. There are opportunities for you to acquire new skills, work across different disciplines, take on new challenges, and develop a comprehensive understanding of various industries. There are opportunities for you to acquire new skills, work across different disciplines, take on new challenges, and develop a comprehensive understanding of various industries. Your Primary Responsibilities Include Strategic SAP Solution Leadership: Leading the technical design, development, and implementation of SAP solutions for simplicity, amplification, and maintainability that meet client needs. Team Delivery leadership: Lead and manage high performing team of SAP consultants to deliver work products on time, budget, and quality. Comprehensive Solution Delivery: Involvement in strategy development and solution implementation, leveraging your functional expertise of SAP with clients and team members and working with the latest technologies Preferred Education Master's Degree Required Technical And Professional Expertise 17+ Years Industry experience of performing necessary SAP configurations, writing detail specifications for development of custom programs, testing, co-ordination of transports to production and post go-live support. Strong hands-on experience of core S/4 HANA Sales and Service processes and functionalities. e.g. Business Partner, Sales Quote/Order processing, Sales Monitoring and Analytics; Claims, Returns and Refunds Management; Contract and Subscriptions; Delivery Processing, Invoice processing, Pricing, aATP, Settlement Management Architecture/Design/Detailing of Processes, designing and supporting integration with other SAP and non-SAP systems, e.g. GTS, BW, WMS, TM, EDI, Vertex etc Experience of minimum 2 end to end SAP S/4 HANA Sales & Service Implementation and core S/4 HANA Sales and Service processes and functionalities.’’ Led testing, data conversion, cutover and post go live, hypercare and Knowledge of business functions like Intercompany Sales, Third Party Sales, Consignments, Service and Maintenance, Advanced Variant configuration, International Trade etc Deep understanding of Business Process integration of SAP Sales and Service with other modules e.g. FI, MM, PP, PS, CO etc Preferred Technical And Professional Experience Knowledge of Fiori Apps from SAP Order to Cash perspective, SAP's implementation methodologies. Should be able to create functional specifications to bridge any gap in the solution design using custom development. For example, enhancements, Interfaces, Reports, data Conversion and Forms. Hands-on experience of designing and supporting integration with other SAP and non-SAP systems, e.g. GTS, BW, WMS, TM, EDI, Vertex etc Show more Show less

Job Type: Full-time, Permanent Job mode: On-Site/Hybrid Joining: Open to immediate joiners and candidates available within 1-2 weeks. Sense7AI Data Solutions is seeking a highly skilled and forward-thinking AI/ML Engineer to join our dynamic team. You will play a critical role in designing, developing, and deploying state-of-the-art AI solutions using both classical machine learning and cutting-edge generative AI technologies. The ideal candidate is not only technically proficient but also deeply familiar with modern AI tools, frameworks, and prompt engineering strategies. Key Responsibilities Design, build, and deploy end-to-end AI/ML solutions tailored to real-world business challenges. Leverage the latest advancements in Generative AI, LLMs (e.g., GPT, Claude, LLaMA), and multimodal models for intelligent applications. Develop, fine-tune, and evaluate custom language models using transfer learning and prompt engineering. Work with traditional ML models and deep learning architectures (CNNs, RNNs, Transformers) for diverse applications such as NLP, computer vision, and time-series forecasting. Create and maintain scalable ML pipelines using MLOps best practices. Collaborate with cross-functional teams (data engineers, product managers, business analysts) to understand domain needs and translate them into AI solutions. Stay current on the evolving AI landscape, including open-source tools, academic research, cloud-native AI services, and responsible AI practices. Ensure AI model transparency, fairness, bias mitigation, and compliance with data governance standards. Required Skills & Qualifications Education: Any degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Experience: 3 – 5 years of hands-on experience in AI/ML solution development, model deployment, and experimentation. Technical Proficiency: Programming: Python (strong), familiarity with Bash/CLI, and Git . Frameworks: TensorFlow, PyTorch, Hugging Face Transformers, Scikit-learn . GenAI & LLM Tools: LangChain, OpenAI APIs, Anthropic, Vertex AI, PromptLayer, Weights & Biases. Prompt Engineering: Experience crafting, testing, and optimizing prompts for LLMs across multiple platforms. Cloud & MLOps: AWS/GCP/Azure (SageMaker, Vertex AI, Azure ML), Docker, Kubernetes, MLflow. Data: SQL, NoSQL, BigQuery, Spark, Hadoop; data wrangling, cleansing, and feature engineering. Strong grasp of model evaluation techniques, fine-tuning strategies, and A/B testing. Preferred Qualifications Experience with AutoML , reinforcement learning, vector databases (e.g., Milvus, FAISS), or RAG (Retrieval-Augmented Generation). Familiarity with deploying LLMs and GenAI systems in production environments. Hands-on experience with open-source LLMs and fine-tuning (e.g., LLaMA, Mistral, Falcon, Open LLaMA). Understanding of AI compliance, data privacy, ethical AI, and explainability (XAI). Strong problem-solving skills and the ability to work in fast-paced, evolving tech landscapes. Excellent written and verbal communication in English. Job Types: Full-time, Permanent Pay: ₹500,000.00 - ₹1,200,000.00 per year Benefits: Flexible schedule Health insurance Paid time off Provident Fund Experience: Machine learning: 3 years (Preferred) AI: 3 years (Preferred) Work Location: In person

Harness is a high-growth company that is disrupting the software delivery market. Our mission is to enable the 30 million software developers in the world to deliver code to their users reliably, efficiently, securely and quickly, increasing customers’ pace of innovation while improving the developer experience. We offer solutions for every step of the software delivery lifecycle to build, test, secure, deploy and manage reliability, feature flags and cloud costs. The Harness Software Delivery Platform includes modules for CI, CD, Cloud Cost Management, Feature Flags, Service Reliability Management, Security Testing Orchestration, Chaos Engineering, Software Engineering Insights and continues to expand at an incredibly fast pace. Harness is led by technologist and entrepreneur Jyoti Bansal, who founded AppDynamics and sold it to Cisco for $3.7B. We’re backed with $425M in venture financing from top-tier VC and strategic firms, including J.P. Morgan, Capital One Ventures, Citi Ventures, ServiceNow, Splunk Ventures, Norwest Venture Partners, Adage Capital Partners, Balyasny Asset Management, Gaingels, Harmonic Growth Partners, Menlo Ventures, IVP, Unusual Ventures, GV (formerly Google Ventures), Alkeon Capital, Battery Ventures, Sorenson Capital, Thomvest Ventures and Silicon Valley Bank. Position Summary We're thrilled to invite passionate backend engineers to join our dynamic product team within the AI Developer Assistant product division. As we continue to expand our cutting-edge Generative AI and machine learning product, your role will be pivotal in driving its growth and evolution. Join us in shaping the future of AI-driven innovation in software delivery, where endless opportunities for professional development and impact await. You’ll join the AI QA Assistant engineering team, focusing on end-to-end testing of web applications. The team is developing a Generative AI-powered agent that uses natural language to automate key aspects of developers’ daily tasks. This agent will generate test cases, write and maintain automation tests, and significantly reduce the burden on developers, managers, and QA teams. Key Responsibilities Driving end to end, design and implementation of features Design, develop, and maintain integrations with multiple AI and cloud systems like Google Vertex AI, Azure, AWS and OpenAI Build Gen AI based Agentic architecture for a first class AI enabled user experience Use Prompt engineering techniques to leverage the best LLM models Collaborate with product management, engineering teams and Machine learning engineers for requirements through to delivery Design and implement scalable AI services About You 6+ years of experience developing backend systems 6+ years of experience in Python with some knowledge of JavaScript (preferably Typescript) Experience in RestAPIs, RPC, Deploying services Experience in data modeling using NoSQL systems like MongoDB or SQL systems like MySQL, Postgres, etc. Bachelor's degree, CS preferred, or equivalent professional experience Experience working AWS to build scalable applications Preference for candidates with experience in: Building Code Generation products using LLMs Knowledge of browser automation tools such as Puppeteer Work Location Bangalore - Hybrid What You Will Have At Harness Experience building a transformative product End-to-end ownership of your projects Competitive salary Comprehensive healthcare benefit Flexible work schedule Paid Time Off and Parental Leave Monthly, quarterly, and annual social and team building events Monthly internet reimbursement Harness In The News Harness Grabs a $150m Line of Credit Welcome Split! SF Business Times - 2024 - 100 Fastest-Growing Private Companies in the Bay Area Forbes - 2024 America's Best Startup Employers SF Business Times - 2024 Fastest Growing Private Companies Awards Fast Co - 2024 100 Best Workplaces for Innovators All qualified applicants will receive consideration for employment without regard to race, color, religion, sex or national origin. Note on Fraudulent Recruiting/Offers We have become aware that there may be fraudulent recruiting attempts being made by people posing as representatives of Harness. These scams may involve fake job postings, unsolicited emails, or messages claiming to be from our recruiters or hiring managers. Please note, we do not ask for sensitive or financial information via chat, text, or social media, and any email communications will come from the domain @harness.io. Additionally, Harness will never ask for any payment, fee to be paid, or purchases to be made by a job applicant. All applicants are encouraged to apply directly to our open jobs via our website. Interviews are generally conducted via Zoom video conference unless the candidate requests other accommodations. If you believe that you have been the target of an interview/offer scam by someone posing as a representative of Harness, please do not provide any personal or financial information and contact us immediately at security@harness.io. You can also find additional information about this type of scam and report any fraudulent employment offers via the Federal Trade Commission’s website (https://consumer.ftc.gov/articles/job-scams), or you can contact your local law enforcement agency. Show more Show less

Role Description Senior Automation Quality Engineer (QE) Mandatory Skills And Qualifications Proficient in Python, with hands-on experience in Pandas and Pytest. Familiarity with IPython for interactive computing. Experience working with Google Command Line Tools. Exposure to JupyterLab for interactive data science workflows. Strong understanding of Google Cloud Platform (GCP) and BigQuery. Experience with Jenkins for Continuous Integration/Continuous Deployment (CI/CD) pipelines and familiarity with Groovy. Exposure to Vertex AI (Google's AI platform). Hands-on experience with Jira and Confluence for project management and collaboration. Basic knowledge of Shell Scripting. Excellent communication skills, both verbal and written. Solid understanding of Quality Assurance (QA) processes and methodologies. Skills Python, Pytest, Google Cloud Platform (GCP), Jenkins for Continuous Integration/Continuous Deployment Show more Show less

Company Description Vertex Global Services is a renowned business optimization solutions provider globally, ranked 19th amongst the 50 most innovative companies. The company offers a wide array of services including Managed Services, HRO, Performance Marketing, AI & Digital Ed-tech platforms, showcasing a strong commitment to sustainability and culture. Vertex is recognized as the Best Place To Work with a focus on creating shared success for customers, employees, shareholders, partners, and communities. Role Description This is a full-time on-site role for a Mergers and Acquisitions Specialist located in Gurugram. The Specialist will be responsible for conducting due diligence, analyzing financial data, assessing investments, and overseeing accounting processes related to mergers and acquisitions. Qualifications Analytical Skills and Finance proficiency Experience in Due Diligence and Accounting Knowledge of Investments and financial markets Strong problem-solving and decision-making abilities Excellent communication and interpersonal skills Bachelor’s degree in Finance, Business, Economics, or related field Relevant certifications such as CFA or CPA are a plus Show more Show less

Company Description Vertex Global Services is a top Business Optimization Solutions provider globally, ranked 19th amongst the 50 most innovative companies worldwide. With a strong commitment to sustainability and culture, Vertex offers services such as Managed services, HRO, Performance marketing, AI & Digital ed-tech platform. Honored as the Best Place To Work, Vertex focuses on creating shared success for its customers, people, shareholders, partners, and communities. Located in Gurugram, Vertex is recognized as the Most Innovative Tech Company in India. Role Description This is a full-time on-site role for a Financial Analyst in Gurugram. The Financial Analyst will be responsible for financial planning, analyzing financial statements, managing finance, and financial reporting on a day-to-day basis. Qualifications Financial Planning and Analytical Skills Experience in Financial Statements and Financial Reporting Strong Finance background especially in BPO industry Bachelor's degree in Finance, Accounting, Economics, or related field Proficiency in financial analysis tools and software Excellent problem-solving skills Detail-oriented and organized Show more Show less

Company Description Vertex Global Services is a renowned Business Optimization Solutions provider globally, ranked 19th amongst the 50 most innovative companies worldwide. Vertex offers a wide range of services such as Managed services, HRO, Performance marketing, AI & Digital ed-tech platform, with a strong commitment to sustainability and culture. Recognized as the Best Place To Work, Vertex focuses on creating shared success for its customers, people, shareholders, partners, and communities. Role Description This is a full-time on-site role as a Conference Producer located in Gurugram at Vertex Group. The Conference Producer will be responsible for tasks such as conference production, market research, communication, speaker acquisition, and event management on a day-to-day basis. Qualifications Conference Production and Event Management skills Market Research and Communication skills Speaker Acquisition expertise Relevant qualifications such as a degree in Event Management, Communications, or related fields would be beneficial for this role. Show more Show less

Company Description Vertex Global Services is a leading Business Optimization Solutions provider globally, ranked 19th amongst the 50 most innovative companies across the globe. Vertex offers a portfolio of services including Managed Services, HRO, Performance Marketing, AI & Digital Ed-tech platforms. Vertex is recognized for its commitment to sustainability, culture, and being acknowledged as the Best Place to Work. Role Description This is a full-time Executive Assistant role located in Gurugram. The Executive Assistant will be responsible for providing executive administrative support, handling expense reports, assisting with communication, and providing general administrative assistance. Qualifications Executive Administrative Assistance and Executive Support skills Experience in managing expense reports Strong communication skills Administrative Assistance abilities Excellent organizational and time management skills Proficiency in Microsoft Office suite Ability to multitask and prioritize tasks effectively Experience in a similar role for at least 2 years Show more Show less

MSCI Inc. seeks a dynamic SAP Finance Technology Director. This role will be part of the Business Technology department and will lead the Finance Tech team located in India (Mumbai or Pune), working closely with finance and business stakeholders to ensure the systems that support MSCI's order-to-cash, record-to-report, revenue recognition, procure-to-pay, and FP&A operate seamlessly and efficiently. As the SAP Finance Technology Director, you will be responsible for driving global projects for the implementation, enhancement, and maintenance of both finance systems and finance processes to automate and streamline operations. This includes working with SAP modules like ECC, BPC, and GRC while ensuring integration with other financial and reporting tools like RevStream, Vertex, Concur, or Board, as well as other core solutions like Salesforce or Workday. You will collaborate across regions and departments to ensure that technology solutions meet business needs and regulatory requirements, driving continuous improvements, while ensuring compliance with SOX controls and audit requirements. The SAP Finance Technology Director will manage a team of direct reports and contractors to support the overall operations of both Financial Systems and Financial Processes. As a Finance Technology Lead, you will be responsible for Finance Systems Management Operate, maintain, and improve the systems that support order-to-cash, record-to-report, revenue recognition, procure-to-pay, and FP&A processes. System Enhancements Lead the identification, development, and implementation of system enhancements that automate and improve the accuracy and efficiency of finance operations. Cross-functional Collaboration Work closely with Business (finance, sales, sales operations, product, client services, etc.) and IT teams to translate functional requirements into technical solutions. Ensure smooth integration of financial systems with other financial and operational platforms. Project Management Oversee projects related to system upgrades like a migration to SAP S/4HANA, new functionality deployments, and process automation initiatives. Ensure that projects are delivered on time and within budget. Compliance and Audit Support Ensure that the systems supporting revenue processes are compliant with internal controls and regulatory requirements, including SOX cycles, Standard Operating Procedures (SOPs), and audit protocols. Training and Support Provide technical guidance and training to finance and IT teams on the systems and processes supporting Revenue Recognition. Act as the go-to expert for system-related inquiries and troubleshooting. Stakeholder Communication Communicate system updates, enhancements, and issues to senior IT leadership and key stakeholders within the finance and business departments. Technical Expertise in ERP Systems Extensive experience with SAP systems (e.g., ECC, BPC, GRC). Experience in integrating with complementary business applications such as Salesforce, Concur, Vertex, or Workiva is helpful. Business Process Knowledge Familiarity with finance processes order-to-cash, record-to-report, procure-to-pay, revenue recognition, and FP&A. Project Management Proven experience in managing global large-scale IT projects, particularly those involving financial systems implementation or upgrades. Cross-functional Collaboration Ability to effectively collaborate with finance, business, and IT teams to deliver technology solutions that meet business requirements. Systems Integration Strong understanding of systems integration principles, particularly as they relate to financial reporting and revenue management systems. Compliance and Security Knowledge of SOX compliance, internal controls, and system security requirements as they pertain to financial systems. Problem-solving Skills Analytical and problem-solving skills with the ability to troubleshoot complex system issues and provide efficient solutions. Leadership and Team Development Experience managing a team of IT professionals, providing leadership coaching, and guidance in system support and project execution. Communication Skills Strong written and verbal communication skills in English, with the ability to clearly explain technical concepts to non-technical stakeholders. Preferred Qualifications Masters in Technology-related or Finance-related domain Preferred Experience 10-15 years of strong operational experience with SAP or similar ERP systems. What We Offer You Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing. Flexible working arrangements, advanced technology, and collaborative workspaces. A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results. A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients. Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development. Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles. We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women’s Leadership Forum. At MSCI we are passionate about what we do, and we are inspired by our purpose - to power better investment decisions. You’ll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers. This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry. MSCI is a leading provider of critical decision support tools and services for the global investment community. With over 50 years of expertise in research, data, and technology, we power better investment decisions by enabling clients to understand and analyze key drivers of risk and return and confidently build more effective portfolios. We create industry-leading research-enhanced solutions that clients use to gain insight into and improve transparency across the investment process. MSCI Inc. is an equal opportunity employer. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation for any part of the application process, please email Disability.Assistance@msci.com and indicate the specifics of the assistance needed. Please note, this e-mail is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries. To all recruitment agencies MSCI does not accept unsolicited CVs/Resumes. Please do not forward CVs/Resumes to any MSCI employee, location, or website. MSCI is not responsible for any fees related to unsolicited CVs/Resumes. Note on recruitment scams We are aware of recruitment scams where fraudsters impersonating MSCI personnel may try and elicit personal information from job seekers. Read our full note on careers.msci.com Show more Show less

About Spyne At Spyne, we are transforming how cars are marketed and sold with cutting-edge Generative AI. What started as a bold idea—using AI-powered visuals to help auto dealers sell faster online—has now evolved into a full-fledged, AI-first automotive retail ecosystem. Backed by $16M in Series A funding from Accel, Vertex Ventures, and other top investors, we’re scaling at breakneck speed: Launched industry-first AI-powered Image, Video & 360° solutions for Automotive dealers Launching Gen AI powered Automotive Retail Suite to power Inventory, Marketing, CRM for dealers Onboarded 1500+ dealers across US, EU and other key markets in the past 2 years of launch Gearing up to onboard 10K+ dealers across global market of 200K+ dealers 150+ members team with near equal split on R&D and GTM Learn more about our products: Spyne AI Products - StudioAI , RetailAI Series A Announcement - CNBC-TV18 , Yourstory What are we looking for? We’re hiring a Product Manager to lead the development of AI-first applications powered by LLMs and intelligent agents. This role is central to our strategy—building cutting-edge conversational agents, automation tools, and AI-driven solutions for automotive dealers and buyers. You’ll work closely with Engineering, AI/ML, Design, and GTM teams to launch products that power Spyne’s growth from $5M to $20M+ ARR. From concept to adoption, you’ll own the full product lifecycle and help define the future of automotive retail. What will you do? Product Strategy & Vision – Define and execute the roadmap for LLM-powered applications and AI agents, aligning with market trends and user needs. AI Innovation – Drive cutting-edge applications like chatbots, decision-support systems, and task automation. Research & Experimentation – Collaborate with engineers and data scientists to fine-tune and deploy LLMs for real-world use cases. AI Agent Development – Build context-aware AI agents that integrate seamlessly into user workflows. User Experience & Adoption – Convert user pain points into intuitive, AI-driven solutions with explainable outputs. Cross-Functional Collaboration – Work with Engineering, Data Science, and Design teams to prototype and scale LLM-based features. Performance Metrics – Define and track KPIs such as accuracy, response time, and user engagement. Continuous Optimization – Enhance AI model efficiency and user satisfaction through iterative improvements. GTM Strategy & Execution - Craft the launch strategy with marketing, sales, and customer success. Drive beta adoption, pricing pilots, and success metrics tracking. What you must have? 3-4 years of product management experience in AI, SaaS, or data-driven products. Proven experience building or scaling LLM-powered applications (GPT, Claude, etc.). Strong familiarity with fine-tuning, prompt engineering, context management, and model evaluation. Ability to communicate AI concepts to non-technical stakeholders. Hands-on experience with Figma, Jira, and LLM APIs (OpenAI, Anthropic, Hugging Face). Data-driven mindset with a strong grasp of AI product metrics. Thrives in fast-paced, ambiguous environments. You’ll Thrive Here If You: Have 3-4 years of product management experience, ideally in SaaS, automotive tech, or AI-first platforms. Have built and scaled 0-to-1 or 1-to-10 products. Bonus if in a global/B2B context. Understand the power of GenAI/Computer Vision and have worked closely with ML teams. Think in systems and execute with urgency. Can ruthlessly prioritize, and are obsessive about user workflows and business impact. Why Join Us Category-defining Opportunity: Shape how cars are discovered, sold, and bought across the world using AI. Hyper-Growth Stage: Spyne is on track for 3x revenue growth this year. Global Reach: We’re expanding rapidly in the U.S., LATAM, MENA, and APAC. Fast, Flat, Founder-Led Culture: Get autonomy, ownership, and speed—all at once. If you're excited to shape the future of AI-powered automotive ret ail, join us at Spyne! 🚀 Show more Show less

Before you apply to a job, select your language preference from the options available at the top right of this page. Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow—people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level. Job Description Role Overview UPS Data Science and Machine Learning team is seeking a highly skilled and experienced Lead Machine Learning Engineer to manage our AI, ML, GenAI application focused on Cross Border logistics. This position leverages continuous integration and deployment of the best practices, including test automation and monitoring, to ensure successful deployment of optimal ML models and analytical systems. You will be responsible for the end-to-end lifecycle of AI models, from experimentation and fine-tuning to deployment and management in production. A strong background in prompt engineering and practical experience with either Google Cloud's Vertex AI platform is essential for this role. You will also provide technical leadership and mentorship to other members of the AI/ML team. Key Responsibilities Lead the development and deployment of generative AI solutions utilizing LLMs, SLMs, and FMs for various applications (e.g., content generation, chatbots, summarization, code generation, etc.). Architect and implement robust and scalable infrastructure for training, fine-tuning, and serving large-scale AI models, leveraging either Vertex AI. Drive the fine-tuning and adaptation of pre-trained models using proprietary data to achieve state-of-the-art performance on specific tasks. Develop and implement effective prompt engineering strategies to elicit desired outputs and control the behavior of generative models. Manage the lifecycle of deployed models, production support, including monitoring performance, identifying areas for improvement, and implementing necessary updates or retraining. Collaborate closely with cross-functional teams (e.g., product, engineering, research) to understand business requirements and translate them into technical solutions. Provide technical leadership and mentorship to junior machine learning engineers, fostering a culture of learning and innovation. Ensure the responsible and ethical development and deployment of AI models, considering factors such as bias, fairness, and privacy. Stay up to date with latest advancements in generative AI, LLMs, and related technologies, and evaluate their potential application within the company. Document technical designs, implementation details, and deployment processes. Troubleshoot and resolve issues related to model performance and deployment. Required Skills And Experience Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field. Minimum of 5-8 years of hands-on experience in building, deploying, and managing machine learning models in a production environment. Demonstrable experience in managing, deploying, and fine-tuning large language models (LLMs), small language models (SLMs), and foundation models (FMs). Significant hands-on experience with prompt engineering techniques for various generative AI tasks. Proven experience working with either Google Cloud's Vertex AI platform platform. including experience with their respective model registries, deployment tools, and MLOps features. Strong programming skills in Python and experience with relevant machine learning libraries (e.g., TensorFlow, PyTorch, Transformers). Experience with cloud computing platforms (beyond Vertex AI is a plus, e.g. Azure). Solid understanding of machine learning principles, deep learning architectures, and evaluation metrics. Excellent problem-solving, analytical, and communication skills. Ability to work independently and as part of a collaborative team. Experience with MLOps practices and tools for continuous integration and continuous delivery (CI/CD) of ML models is highly desirable. Experience with version control systems (e.g., Git). Bonus Points Experience with model governance frameworks and implementing ethical AI practices. Experience with specific generative AI use cases relevant to Logistics industry. Publications or contributions to open-source projects, technical blogs, or industry conferences are considered a plus Familiarity with data engineering pipelines and tools. Familiarity with emerging trends in generative AI, reinforcement learning from human feedback (RLHF), and federated learning approaches. Employee Type Permanent UPS is committed to providing a workplace free of discrimination, harassment, and retaliation. Show more Show less

A career in our State and Local Indirect Tax practice, within State and Local Tax services, will provide you with the opportunity to help our clients solve their business issues related to business restructuring, adoption of new tax laws, and communicating local tax developments. You’ll help with assessing our client’s state and local tax burden and recommend solutions that support their overall business objectives to ensure that their filling positions are consistent with good business practices and with the states applicable tax laws and rules. Our team helps our clients manage their indirect tax responsibilities related to value added taxes, sales and use taxes, goods and services taxes, federal excise taxes, and other transaction taxes. You’ll help with identifying and exploring indirect tax opportunities and issues related to business expansion, systems and controls, refunds and cash flow, and policy and design. To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future. Responsibilities As a Senior Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to: Use feedback and reflection to develop self awareness, personal strengths and address development areas. Delegate to others to provide stretch opportunities, coaching them to deliver results. Demonstrate critical thinking and the ability to bring order to unstructured problems. Use a broad range of tools and techniques to extract insights from current industry or sector trends. Review your work and that of others for quality, accuracy and relevance. Know how and when to use tools available for a given situation and can explain the reasons for this choice. Seek and embrace opportunities which give exposure to different situations, environments and perspectives. Use straightforward communication, in a structured way, when influencing and connecting with others. Able to read situations and modify behavior to build quality relationships. Uphold the firm's code of ethics and business conduct. Strong ERP skills (SAP/Oracle) - Configuration related to Tax Business Process (order-to-cash and procure-to-pay) - Tax Engine Experience (Vertex, Avalara, OneSource, Sovos) - Configurations related to Tax Determination and Reporting - Active Involvement in the Functional Design - Deep problem solving skills to assist with ideal future state solution for our clients. - Ability to Perform end to end testing in ERP system and Tax Engines - Ability to identify root cause related to calculation issues in Oracle or SAP - Ability to work on Support tickets and incidents. 3+ years of experience. Strong ERP skills (SAP/Oracle) - Configuration related to Tax Business Process (order-to-cash and procure-to-pay). Tax Engine Experience (Vertex, Avalara, OneSource, Sovos). Configurations related to Tax Determination and Reporting. Active Involvement in the Functional Design. Deep problem-solving skills to assist with ideal future state solution for our clients. Ability to independently work designing the solutions based on the requirement. Perform Testing in ERP system and Tax Engines. Ability to identify root cause related to calculation issues in Oracle or SAP. Ability to create these documentations: Business Requirements Documents, Functional Designs, Configurations, Test Scenarios and Training Guides. Meet SLA Commitments. We're looking for people who can speak up confidently, with a genuine desire to make things better across the business. If you're ready to further build on your reputation. Show more Show less

Job description Some careers shine brighter than others If you’re looking for a career that will help you stand out, join HSBC and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further. HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions. Analytics Foundations Enabler IT team provides the required IT platform for the model developers to develop / train models and eventually deploy them in an automated way into production. Analytics Foundations Enabler IT team ensures these models are packaged such that they are exposed as ‘Model as a Service’ to be consumed by various business functions as part of their data driven decisioning use cases. We are seeking a talented and experienced POD Lead to join our dynamic team, with experience in software development and a strong background in Python, GCP, Angular, and Kubernetes. The ideal candidate will have a proven track record of technical leadership, stakeholder management, and excellent communication skills. This role will involve working closely with cross-functional teams to deliver high-quality software solutions while driving innovation and continuous improvement. In this role, you will: Lead and manage a team of software engineers, providing technical guidance, mentorship, and support to ensure the successful delivery of software projects. Collaborate with product managers, architects, and other stakeholders to define and prioritize software requirements, ensuring alignment with business objectives. Conceptualise, design, develop and reuse effective engineering design, patterns & frameworks using Python, GCP, Angular, and Kubernetes, adhering to best practices and industry standards. Foster a culture of continuous improvement, encouraging the team to identify and implement process improvements and innovative solutions. Act as an IT Service Owner and ensure compliance across Incident, Problem, Change/Release management and other associated IT controls Ensure service resilience, service sustainability and recovery time objectives are met for all the software solutions delivered. Drive operational, delivery and engineering excellence across the pod teams. Be accountable for production and for delivery. Requirements To be successful in this role, you should meet the following requirements: 12+ years of experience in software development, with a strong background in Python, Java Springboot, GCP, Angular, and Kubernetes, awareness of Model Life Cycle Management & MLOPs will be a plus. Proven experience in technical leadership, managing software development teams, and delivering complex software projects. Excellent stakeholder management and communication skills, with the ability to effectively convey complex technical concepts to both technical and non-technical audiences. Software engineering skills: Microservice architecture patterns, frameworks like FastAPI, REST APIs and experience around API Security Standards, API Gateway, Service Mesh Devops skills: Proficiency in tools such as Docker, Kubernetes, Helm, Terraform Orchestrating data pipelines: Setting up and automating data pipelines using tools such as Airflow and familiarity with data processing technologies including NumPy, Pandas, Amazon S3, Kubeflow, Dataflow Expertise in monitoring and observability technologies like Prometheus, Appdynamics, Splunk, Jaeger, Kiali, Open Telemetry. GCP Experience around management of GKE clusters, Good to have skills: Programming, working knowledge of machine learning algorithms and frameworks, like scikit learn, PyTorch; Familiarity on industry solutions like Google Vertex AI You’ll achieve more when you join HSBC. www.hsbc.com/careers HSBC is committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and opportunities to grow within an inclusive and diverse environment. Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website. Issued by – HSBC Software Development India