1334 Vertex Jobs - Page 8

Overview: This position is a critical part of our Business Enterprise Solutions & Technology team growth. Key responsibilities include leading our efforts to streamline cloud hosted processes and further improving our implementation. You will be empowered to develop new ideas, find new capabilities, and drive their implementation and integration inside RealPage. Succeeding in this position requires you to be a self-starter with problem-solving skills. You enjoy becoming the domain expert in multiple areas and have a strong affinity for efficient processes, a well-organized database, and a passion for clean data. If you want a work environment where your ideas are welcome and contributions are recognized, this is the place for you! Responsibilities: Build scalable applications for cloud platforms (Azure, AWS, GCP, Oracle etc.) Building advanced cloud functions and web components Create and maintain declarative functionality using React Flows or similar (validation rules, approvals, etc.) Design data models, user interfaces, business logic and security for custom applications Transform business needs into actionable requirements and functionality Scope level of effort and potential options for delivery of functionality Data cleansing and data manipulations using various tools and scripts Ensure security, by setting up and maintaining the access and sharing rules Work collaboratively with stakeholders and customers delivering the solution 5+ years of experience implementing web projects from initiation to launch Experience with GitHub Copilot/similar to improve development quality and speed Experience with Prompt Engineering and GenAI models (OpenAI, Claude, Vertex, etc.) Develop high-quality, performant web applications using JavaScript/Typescript, React, and NextJS/NodeJS. Collaborate with cross-functional teams to design, develop, and deploy new features. Write clean, maintainable, and testable code. Participate in code reviews and provide constructive feedback to improve code quality. Troubleshoot and debug issues in a timely manner. Stay up to date with industry trends and best practices. Strong experience with Typescript, React, and NextJS/NodeJS. Experience with Redux, GraphQL, and server-side rendering is a plus. Strong understanding of web technologies such as HTML, CSS, and JavaScript. Familiarity with Agile development methodologies. Excellent problem-solving skills. Strong attention to detail and ability to write clean, maintainable code. Excellent communication skills and ability to work collaboratively with cross-functional teams. Qualifications: Experience with agile development (Scrum, Kanban, Mob Programming, etc.) Knowledge of SOLID principles and Clean Architecture Experience working with enterprise business apps Proficient with GIT or other comparable source version control tools Experience using Visual Studio Code for cloud development OpenJS Node.js Application Developer certifications Comfort with Whiteboarding and/or ‘Wireframe’ solutioning

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. We are seeking a highly skilled and experienced Senior Manager, AI/ML to lead our dynamic team. The ideal candidate will have a robust development background in any programming stack, including but not limited to Java, .Net, Python, or Node.js. This role requires hands-on experience with AI/ML, preferably using cloud platforms such as AWS Bedrock, Google Vertex AI, or Azure AI. A solid understanding of Generative AI and the ability to manage multiple projects end-to-end is essential. Primary Responsibilities: Leadership and Strategy: Lead and mentor a team of AI/ML engineers and data scientists Develop and implement AI/ML strategies aligned with business goals Drive innovation and stay updated with the latest industry trends and technologies Technical Expertise: Utilize solid development skills in programming languages such as Java, .Net, Python, or Node.js Oversee the design, development, and deployment of AI/ML models and solutions Ensure best practices in coding, testing, and deployment Project Management: Manage multiple AI/ML projects simultaneously, ensuring timely delivery and quality Collaborate with cross-functional teams to define project requirements and deliverables Monitor project progress and adjust plans as necessary to meet objectives Stakeholder Engagement: Communicate effectively with stakeholders to understand their needs and provide technical insights Present project updates, results, and recommendations to senior management Innovation and Research: Conduct research to identify new opportunities for AI/ML applications Encourage a culture of continuous learning and improvement within the team Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field 12+ years of experience in software development 3+ years of experience delivering solutions with a focus on AI/ML Proven experience in leading and managing technical teams Proficiency in frameworks such as Scikit Learn, TensorFlow, and PyTorch Proven solid background in programming languages such as Java, .Net, Python, or Node.js Proven excellent problem-solving and analytical skills Proven solid communication and interpersonal skills Proven ability to possess robust data engineering skills in EDA (Exploratory Data Analysis), building and maintaining AI/ML data pipelines Proven ability to work in a fast-paced, dynamic environment Preferred Qualifications: Degrees, Diploma or Certifications in the field of AI/ML Experience with cloud platforms AI Stacks like AWS Bedrock, Azure AI, GCP Vertex AI At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone - of every race, gender, sexuality, age, location and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

Senior Manager EXL/SM/1422447 ServicesGurgaon Posted On 15 Jul 2025 End Date 29 Aug 2025 Required Experience 10 - 15 Years Basic Section Number Of Positions 3 Band C2 Band Name Senior Manager Cost Code D001713 Campus/Non Campus NON CAMPUS Employment Type Permanent Requisition Type New Max CTC 1500000.0000 - 2500000.0000 Complexity Level Not Applicable Work Type Hybrid – Working Partly From Home And Partly From Office Organisational Group Analytics Sub Group Analytics - UK & Europe Organization Services LOB Analytics - UK & Europe SBU Analytics Country India City Gurgaon Center EXL - Gurgaon Center 38 Skills Skill DATA SCIENCE Minimum Qualification B.COM Certification No data available Job Description Role Overview: We are seeking a highly skilled and forward-thinking Manager – Data Science & Generative AI to lead data-driven innovation within our organization. This role requires a blend of technical expertise in machine learning and GenAI, team leadership, and strategic thinking to build scalable solutions and drive business transformation through intelligent systems. As a Manager, you will lead cross-functional teams, guide AI/ML project lifecycles, and help deploy Generative AI models into real-world applications, ranging from content generation to intelligent automation. Key Responsibilities: Lead the end-to-end lifecycle of data science and Generative AI projects—from problem scoping and data exploration to model deployment and performance monitoring. Manage a team of data scientists and ML engineers, providing technical guidance and mentorship. Develop and implement advanced machine learning models including deep learning, NLP, and GenAI architectures (e.g., transformers, LLMs). Collaborate with product, engineering, and business teams to identify AI opportunities, define use cases, and deploy innovative solutions. Evaluate and fine-tune pre-trained foundation models (e.g., GPT, Claude, LLaMA, Gemini) for domain-specific applications using prompt engineering, fine-tuning, or retrieval-augmented generation (RAG). Lead the creation of synthetic data, content generation, and intelligent assistants using GenAI capabilities. Drive responsible AI practices and ensure model transparency, fairness, and compliance with ethical and regulatory guidelines. Contribute to strategic roadmaps for AI adoption across the enterprise. Present findings, models, and strategies to stakeholders and senior leadership. Required Skills & Experience: 6–10 years of experience in Data Science or AI/ML, including at least 2–3 years in a managerial or lead role. Strong proficiency in Python and data science libraries (NumPy, Pandas, scikit-learn, TensorFlow, PyTorch). Proven experience in building and deploying ML models in production environments. Solid experience working with Generative AI tools and platforms (e.g., OpenAI APIs, Hugging Face, LangChain, Vertex AI, Azure OpenAI). Expertise in NLP, LLMs, prompt engineering, fine-tuning, and text generation. Familiarity with cloud platforms (AWS, GCP, Azure) and MLOps pipelines. Strong understanding of data engineering concepts, APIs, and scalable architectures. Excellent problem-solving, project management, and communication skills. Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field (PhD is a plus). Nice to Have: Experience with Retrieval-Augmented Generation (RAG) and vector databases (e.g., FAISS, Pinecone, Weaviate). Familiarity with model safety, explainability (XAI), and ethical AI frameworks. Publications or contributions in AI/ML conferences or open-source projects. Hands-on experience in GenAI use cases like document summarization, chatbots, code generation, or marketing automation. Workflow Workflow Type Back Office

Job Description Position – VP - Operations Company – Attentive OS Pvt Ltd Location – Noida Department – Operations About Us: Attentive.ai is a leading provider of AI-powered automated takeoff software, tailored for the construction and landscaping industries. Our Automeasure software serves landscaping, snow removal, paving maintenance, and facilities maintenance businesses, helping them streamline operations through automation. Our Beam AI (ibeam.ai) product enables construction companies to enhance their estimating processes by automating the tedious task of quantification, driving greater efficiency and accuracy. Trusted by top contractors across the US and Canada, Attentive.ai is proudly supported by renowned investors, including PeakXV Surge, InfoEdge Ventures, Vertex Ventures and Tenacity Ventures. Position Description: As the VP-Operations, you will oversee and optimize the key processes within the Estimating team (this is our Operations team) to ensure seamless operations, efficiency, and scalability. Your role will require strategic planning, process refinement, and collaboration with cross-functional teams to enhance estimating workflows, improve turnaround times (TAT), optimize cost, and meet organizational goals. You will serve as a bridge between estimating, product development, and customer success, ensuring smooth execution of tasks and alignment with business objectives. Roles & Responsibilities: Operational Oversight & Monitoring: Monitor daily takeoff traffic, ensuring ETAs are consistently met. Promptly identify and escalate product breakdowns and secure prioritized resolutions to minimize Estimating team downtime. Team Capacity & Resource Planning: Proactively prepare Estimating team hiring plans based on forecasted workload and collaborate with the team leaders to execute recruitment initiatives. Process Optimization & Documentation: Study, refine, and optimize operations processes to reduce request turnaround times (TAT) and improve business gross margins. Document standard operating procedures (SOPs) for tools and processes, ensuring strict adherence to drive consistency and performance. Operations Platform Feature Development: Collaborate with the Estimating team to gather feature requirements for their internal use software platform, and work with the Product team to prioritize development. Conduct in-depth analyses of Estimating user workflows to generate feature requests aimed at further reducing TAT. Test new feature releases, promptly identifying and addressing bugs and gaps in functionality. Performance Tracking & Management: Establish and maintain a performance tracking mechanism for the Estimating team, enabling data-driven performance assessments. Trend Awareness & Continuous Improvement: Stay updated on industry trends and best practices in operational management, integrating relevant insights to refine processes and improve outcomes. Requirements & Qualification: Experience: 5+ years of experience in operations management or a related field, with a proven track record of leading and optimizing processes. Demonstrable experience in workflow analysis and collaboration with cross-functional teams. Education: Bachelor’s degree in a core Engineering branch, Operations Management, or a related field. Advanced degrees or certifications (e.g., Six Sigma, PMP) are a plus. Skills: Strong analytical skills and proficiency in using data-driven approaches to improve workflows and solve problems. Proficiency in documenting SOPs and utilizing tools for operational efficiency (e.g., Excel, BI tools, or workflow software). Communication: Excellent verbal and written communication skills, with the ability to clearly articulate operational plans, feature requirements, and process improvements. Leadership & Collaboration: Proven leadership skills with experience in scaling teams and effectively collaborating across diverse functions like product development, customer success, and Operations. Adaptability: Skilled at managing multiple priorities in dynamic environments, adept at resolving open-ended challenges, and quickly adapting to new tools, technologies, and evolving business needs.

India is among the top ten priority markets for General Mills, and hosts our Global Shared Services Centre. This is the Global Shared Services arm of General Mills Inc., which supports its operations worldwide. With over 1,300 employees in Mumbai, the center has capabilities in the areas of Supply Chain, Finance, HR, Digital and Technology, Sales Capabilities, Consumer Insights, ITQ (R&D & Quality), and Enterprise Business Services. Learning and capacity-building is a key ingredient of our success. About General Mills We make food the world loves: 100 brands. In 100 countries. Across six continents. With iconic brands like Cheerios, Pillsbury, Betty Crocker, Nature Valley, and Häagen-Dazs, we’ve been serving up food the world loves for 155 years (and counting). Each of our brands has a unique story to tell. How we make our food is as important as the food we make. Our values are baked into our legacy and continue to accelerate us into the future as an innovative force for good. General Mills was founded in 1866 when Cadwallader Washburn boldly bought the largest flour mill west of the Mississippi. That pioneering spirit lives on today through our leadership team who upholds a vision of relentless innovation while being a force for good. The awards and recognition we’ve received showcase our commitment to be a force for good:  World’s Most Admired Companies, Fortune 2022  America’s Most Responsible Companies, Newsweek 2022  100 Best Corporate Citizens, 3BL 2021  Best Places to Work for LGBTQ Equality, Human Rights Campaign 2022  100 Best Companies, Seramount 2021  Diversity Best Practices Leading Inclusion Index, Seramount 2021  Best Companies for Dads, Seramount 2021  Best Companies for Multicultural Women, Seramount 2021  Top 10 Companies for Executive Women, Seramount 2021  Military Friendly Employer Bronze, VIQTORY 2021  Best Place to Work, Canada, Greater Toronto, 2021  Top 50 – India’s Best Workplaces for Women, 2021  Top Workplaces in Brazil, 2021  Asia’s Best Workplaces, 2021 Hungry for What’s Next We exist to make food the world loves, and it shows. Our passion for people, doing good and creating delicious food has energized us for over 150 years. Breaking away from the pack is how we win, so we need your unique perspectives: your quirks, ‘crazy’ ideas, rigor and insatiable curiosity to make it happen. We want people who constantly experiment, embracing the new and bold, who keep pushing to turn ideas into reality, no matter how big or small. We’ve learned becoming the undisputed leader in food means continuously reshaping, reimagining and rebuilding— that only happens when you surround yourself with those who are hungry for what’s next. For more details check out www.generalmills.com General Mills India Centre General Mills India Center (GIC) operates out of Mumbai and supports the global operations of General Mills. The center was established in 2005 and has grown in strength. Today, we are a vibrant and diverse team of over 1500 employees that come together to champion business services for the various global entities of General Mills in the areas of Business Operations, Analytics Consulting, Logistics, Finance, IT Development & Technology Consulting, Consumer & Market Intelligence, Sales Capabilities, Research & Development. Digital and Technology team Digital and Technology is the largest team in GIC, which focuses on understanding the latest and innovative trends in technology and leading the adoption of cutting-edge technologies at General Mills. The team closely collaborates with global business teams to understand business models and assess where technology can leveraged to bring efficiency and disruption. Be it AI/ML, Data Science, IoT, NLP, Cloud, Infrastructure, RPA and Automation, Digital Transformation, Cyber Security, Blockchain or Enterprise Architecture, GIC Digital and Technology has something for every technology enthusiast who wants to work here. Our MillsWorks initiative is where we bring agile@scale delivery model to life. Here, business and technology teams work cohesively in pods as ONE team, driven by a singular mission and focused on delivering value for the Company. Our employees, who work on large technology projects of strategic importance, are the Digital Transformation change agents. Our service partnerships and employee engagement are centred on advancing equity and strengthening communities. We believe in an inclusive culture and trust in the power of people who have a passion for learning and growing with technology. We believe in “Work with Heart”. Work with Heart is focused on results, not facetime. If you are passionate about the latest in technology and want to make an impact on the digital transformation journey of a Fortune 500 company, we're waiting for you. Job Overview Role: Lead Data Scientist Location: Mumbai, Hybrid General Mills, Digital and Technology India, is seeking a Lead Data Scientist to join our dynamic and innovative Data Science team. As a Lead Data Scientist, you will play a crucial role in shaping our AI and machine learning strategies, managing model development projects, AI technical explorations and mentoring our talented team of data scientists. The ideal candidate will have expertise in AI platforms, ML modelling techniques, development life cycle, GCP Vertex AI, and a proven track record of successful AI solution delivery. Role Responsibilities AI and ML strategy:  Develop and implement AI and ML strategies aligned with business objectives.  Stay abreast of industry trends and emerging technologies to ensure our strategies remain cutting-edge.  Constructively challenge the other data scientists on approach  Utilize and provide expertise in leading AI platforms, frameworks, and libraries.  Evaluate and recommend new tools and technologies to enhance our machine learning capabilities. Lead The AI Solutions Deliver  Partners with business stakeholders to deliver value add insights and intelligent solutions through ML and AI. Collaborates with ML engineers and systems engineers to ensure the models are deployed in a scaled and optimized way. Additionally ensure support the post- production to ensure model performance degrades are proactively managed.  Is considered an expert in at least one of functional areas; brings together business knowledge, resources, people, and technology to create more effective solutions. Model Development And Explorations  Lead and contribute to the development of machine learning models from ideation to production deployment.  Hands-on experience with Google Cloud Platform's Vertex AI for building, deploying, and managing machine learning models.  Oversee the entire development life cycle of AI solutions including MLOps practices, ensuring high-quality and scalable deliverables.  Collaborate with cross-functional teams to integrate machine learning solutions into existing products or processes.  Lead explorations for AI techniques, platforms and tools. AI Literacy and Mentorship:  Mentor and guide a team of data scientists in approach for AI solution delivery.  Foster a collaborative and innovative team environment.  Contribute to the overall effort to educate stakeholders on AI practices.  Closely collaborates with the stakeholders on projects and data science leaders to ensure practices are developed and enhanced to support accelerated analytic development and maintainability. Must - Have Technical Skills And Experience  8+ yrs in providing data science solutions and overall 12+yrs of Industry experience.  Proven skills in leading implementations of AI solutions.  Experienced in providing technical mentorship.  Expertise in supervised ML algorithms, optimization and performance tuning.  Proficiency in Retail domain, either supply chain or commercial.  Technical Platform- include proficiency on Google Cloud Platform, SQL, Python, spark,Tensorflow.  Technical Concepts- MLOps, Containerization, Data Lineage and Visualization.  Experience working with an Agile development methodology featuring sprints, point estimation and daily stand-ups.  Excellent stakeholder management skills and story telling skills.  Bachelor’s Degree in Computer Science/Statistics/Applied Mathematics from Tier 1 institute. Good To Have Skills  Prior experience with CPG industry.  Publications or contributions to the data science and AI community.  Certifications in AI, machine learning, or related fields. Technical Skill proficiency expectations Expert level Intermediate Level Basic Level  AI solutions architecture  Google Cloud Platform – Vertex AI, BQ, Composer, Cloud Storage  ML supervised algorithms  CPG domain either on Commercial or supply chain  Python, SQL Intermediate Level  MLOps  GCP cloud architecture  AtScale & Alation  Deep Learning Basic Level  Container, GKE Company Overview We exist to make food the world loves. But we do more than that. Our company is a place that prioritizes being a force for good, a place to expand learning, explore new perspectives and reimagine new possibilities, every day. We look for people who want to bring their best — bold thinkers with big hearts who challenge one other and grow together. Because becoming the undisputed leader in food means surrounding ourselves with people who are hungry for what’s next.

Role Overview Intertec Systems is seeking a visionary and execution-focused AI Practice Lead to head our AI initiatives across all lines of business— Digital, Managed Services, Cloud, EAM, Cybersecurity, and Microsoft solutions . This role will own the charter to define, build, and scale innovative AI use cases leveraging Machine Learning (ML), Computer Vision, Agentic AI, and Gen AI applications for: Client solutions (presales, PoCs, proposals) Internal business transformation Product roadmap acceleration The ideal candidate will be an expert hands-on AI engineer who can lead with both strategy and execution. This individual will lead the AI Center of Excellence (CoE) and work closely with Business Units, Technology Teams, and Clients. Key Responsibilities Strategy & Leadership Define and execute the vision and roadmap for AI adoption at Intertec across functions Lead the AI CoE and drive cross-functional collaboration with presales, delivery, product, and marketing teams Evaluate and prioritize AI use cases based on business impact and feasibility Solution Development & Presales Partner with sales and account teams to ideate and propose AI solutions in RFPs and client engagements Build PoCs, reference architectures, and solution accelerators using ML, Computer Vision, NLP, and Generative AI Identify AI opportunities with business outcomes across verticals like Government, Healthcare, Utilities, BFSI, and Real Estate Use Case Design & Development Own delivery of all active and upcoming AI use cases across Intertec’s client and internal platforms Drive implementation of Agentic AI (LLM-based task automation), multi-agent frameworks (e.g., CrewAI, LangGraph), and intelligent workflows Innovation & R&D Evaluate emerging AI technologies, LLMs, vector databases, and open-source models for product or customer requirements Pilot AI use cases internally (finance automation, talent intelligence, project risk prediction, etc.) Scale successfully piloted AI solutions within the organization Keep the organization at the forefront of GenAI, multi-modal AI, and enterprise AI trends Create a catalogue of resuable AI assets to be monetized by the company Governance & Enablement Define best practices, MLOps standards, data governance frameworks Train and upskill teams in AI tooling and architecture Ensure responsible AI practices, ethical design, and regulatory compliance Required Skills & Experience Must-Have Skills 7+ years in technology or consulting, with 4+ years in AI/ML Strong experience in AI presales and solution architecture (client-facing) Expert-level hands-on coding and prototyping experience Hands-on proficiency in: ML frameworks (TensorFlow, PyTorch, scikit-learn) Computer Vision (YOLO, OpenCV, segmentation models) Agentic AI tools (LangChain, CrewAI, AutoGen, RAG, LlamaIndex) Proven success building AI/ML PoCs, solutions, or products from scratch Familiar with vector databases, RAG architecture, prompt engineering, and LLM orchestration Knowledge of MLOps and deployment pipelines (MLflow, Kubeflow, Azure ML, Sagemaker) Excellent communication skills with the ability to influence both technical and non-technical stakeholders Strong understanding of cloud and infrastructure requirements for AI workloads , including: GPU types and capacity planning (e.g., A100, H100, T4) AI-optimized storage and high-throughput systems Deployment environments (Docker, Kubernetes, VM instances) Cost/performance analysis across Azure, AWS, GCP MLOps tools and scalable model deployment architectures Preferred/Bonus Experience leading AI practices in mid-sized or regional IT services companies Exposure to AI compliance and Responsible AI frameworks Tools & Technologies ML & CV : PyTorch, TensorFlow, scikit-learn, OpenCV, YOLO, Detectron2 LLMs & Agents : OpenAI, Anthropic, LangChain, CrewAI, LlamaIndex, Haystack Deployment : Azure AI, AWS Sagemaker, Vertex AI, Docker, Kubernetes Data & Ops : MLflow, Airflow, Hugging Face, Weights & Biases Vector DBs : FAISS, Pinecone, Chroma, Qdrant What You’ll Influence Shape the AI GTM strategy for Intertec Elevate client conversations from solutioning to innovation Help Intertec become an AI-first systems integrator

Company Description Vertex Global Services is a top Business Optimization Solutions provider globally, ranked 19th amongst the 50 most innovative companies worldwide. The company offers a wide range of services, including Managed services, BPM, Performance marketing, AI & Digital ed-tech platforms, with a strong commitment to sustainability and culture. Vertex is recognized as the Best Place To Work and the Most Innovative Tech Company in India. Role Description This is a full-time on-site role for a BPO Business Development Manager located in Gurugram. The Business Development Manager will be responsible for day-to-day tasks related to driving sales growth, developing new business opportunities, and maintaining client relationships in the BPO sector. Qualifications Strong sales and business development skills Experience in the BPO industry Excellent communication and negotiation skills Ability to build and maintain client relationships Knowledge of performance marketing and AI technologies Bachelor's degree in Business Administration or related field Previous experience in a management role

Location: Preferred: Ahmedabad, Gandhinagar, Hybrid (Can consider Remote case to case) Department: COE Experience: 8+ Years (with hands-on AI/ML architecture experience) Education: Ph.D. or Master's in Computer Science, Data Science, Artificial Intelligence, or related fields Job Summary: We are seeking an experienced AI/ML Architect with a strong academic background and industry experience to lead the design and implementation of AI/ML solutions across diverse industry domains. The ideal candidate will act as a trusted advisor to clients, understanding their business problems, and crafting scalable AI/ML strategies and solutions aligned to their vision. Key Responsibilities: Engage with enterprise customers and stakeholders to gather business requirements, problem statements, and aspirations. Translate business challenges into scalable and effective AI/ML-driven solutions and architectures. Develop AI/ML adoption strategies tailored to customer maturity, use cases, and ROI potential. Design end-to-end ML pipelines and architecture (data ingestion, processing, model training, deployment, and monitoring). Collaborate with data engineers, scientists, and business SMEs to build and operationalize AI/ML solutions. Present technical and strategic insights to both technical and non-technical audiences, including executives. Lead POCs, pilots, and full-scale implementations. Stay updated on the latest research, technologies, tools, and trends in AI/ML and integrate them into customer solutions. Contribute to proposal development, technical documentation, and pre-sales engagements. Required Qualifications: Ph.D. or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or related field. 8+ years of experience in the AI/ML field, with a strong background in solution architecture. Deep knowledge of machine learning algorithms, NLP, computer vision, deep learning frameworks (TensorFlow, PyTorch, etc.). Experience with cloud AI/ML services (AWS SageMaker, Azure ML, GCP Vertex AI, etc.). Strong communication and stakeholder management skills. Proven track record of working directly with clients to understand business needs and deliver AI solutions. Familiarity with MLOps practices and tools (Kubeflow, MLflow, Airflow, etc.). Preferred Skills: Experience in building GenAI or Agentic AI applications. Knowledge of data governance, ethics in AI, and explainable AI. Ability to lead cross-functional teams and mentor junior data scientists/engineers. Publications or contributions to AI/ML research communities (preferred but not mandatory).

Location Chennai, Tamil Nadu, India Job ID R-231416 Date posted 16/07/2025 Job Title: Senior Consultant Hyperautomation Grade - D2 Introduction to role Are you ready to shape AstraZeneca's digital journey? We are seeking a Senior Consultant Hyperautomation to join our team at a crucial stage of our transformation into a digital and data-led enterprise. This role offers the opportunity to make the impossible possible by building partnerships and ecosystems, creating new ways of working, and driving scale and speed to deliver exponential growth. If you're passionate about impacting lives through data, analytics, AI, machine learning, and more, this is the place for you! Accountabilities As a Senior Consultant Hyperautomation, you will be responsible for designing, developing, and deploying AI-powered solutions using Azure OpenAI, AWS Bedrock, or Google Vertex AI. You will build and maintain backend logic and orchestration scripts in Python, expose AI models as REST APIs, and integrate them into enterprise systems. Your role will involve incorporating AI services into PowerApps or Power Automate flows, working with stakeholders to identify business requirements, and delivering scalable AI-driven solutions. You will ensure that solutions meet standards for security, performance, and cost-effectiveness while staying up-to-date with advancements in GenAI, NLP, and cloud-based AI technologies. Essential Skills/Experience Practical experience with Microsoft Power Platform (PowerApps, Power Automate, AI Builder, Dataverse). Experience with at least one of the following: Azure OpenAI, AWS Bedrock, or Google Vertex AI. Proficiency in Python, including libraries such as requests, pandas, json, langchain, or openai. Experience working with Copilot Studio. Experience in building and using REST APIs. Familiarity with prompt engineering, embeddings, vector databases, and retrieval-augmented generation (RAG) is an advantage. Desirable Skills/Experience While specific desirable skills are not listed for this role, a proactive approach to learning and adapting to new technologies will be beneficial. AstraZeneca is a place where innovation thrives! Our work directly impacts patients by transforming our ability to develop life-changing medicines. We empower the business to perform at its peak by combining cutting-edge science with leading digital technology platforms and data. With a passion for impacting lives through data and analytics, we drive cross-company change to disrupt the entire industry. Here, you'll find countless opportunities to learn and grow in a dynamic environment that encourages experimentation with leading-edge technology. Ready to make a difference? Apply now and be part of our journey to accelerate AstraZeneca's growth! Date Posted 17-Jul-2025 Closing Date 06-Aug-2025 AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Respond effectively to the diverse perspectives, needs, and feelings of others. Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. Use critical thinking to break down complex concepts. Understand the broader objectives of your project or role and how your work fits into the overall strategy. Develop a deeper understanding of the business context and how it is changing. Use reflection to develop self awareness, enhance strengths and address development areas. Interpret data to inform insights and recommendations. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Position: Associate Industry: CPG & Retail Domain: Range of Analytics (Descriptive to Advanced) depending on the client problem About Acceleration Center Bangalore At PwC, we connect people with diverse backgrounds and skill sets to solve important problems together and lead with purpose—for our clients, our communities and for the world at large. It is no surprise therefore that 429 of 500 Fortune global companies engage with PwC. Acceleration Centers (ACs) are PwC’s diverse, global talent hubs focused on enabling growth for the organization and value creation for our clients. The PwC Advisory Acceleration Center in Bangalore is part of our Advisory business in the US. The team is focused on developing a broader portfolio with solutions for Risk Consulting, Management Consulting, Technology Consulting, Strategy Consulting, Forensics as well as vertical specific solutions. PwC's high-performance culture is based on passion for excellence with a focus on diversity and inclusion. You will collaborate with and receive support from a network of people to achieve your goals. We will also provide you with global leadership development frameworks and the latest in digital technologies to learn and excel in your career. At the core of our firm's philosophy is a simple construct: We care for our people. Globally PwC is ranked the 3rd most attractive employer according to Universum. Our commitment to Responsible Business Leadership, Diversity & Inclusion, work-life flexibility, career coaching and learning & development makes our firm one of the best places to work, learn and excel. We are looking for experienced professionals with a strong data science background (and overall data science experience of 4+ years) to work in our Analytics Consulting practice in Mumbai and Bangalore. Senior Associate’s will work as an integral part of business analytics teams in India alongside clients and consultants in the U.S., leading teams for high-end analytics consulting engagements and providing business recommendations to project teams. Education: Advanced Degree in quantitative discipline such as Computer Science, Engineering, Econometrics, Statistics, Operations Research or Information Sciences such as business analytics or informatics. Required Skills: Successful candidates will have demonstrated the following skills and characteristics - Must-Have (Senior Associate - CPG & Retail Analytics) Hands-on experience with CPG & Retail data assets such as point-of-sale (POS) transactions, loyalty-program histories, syndicated panel data (NielsenIQ, Circana/IRI, Kantar), e-commerce clickstream, and supply-chain sensors/IoT. Deep understanding of predictive modeling for purchase propensity, demand forecasting, promotion uplift, assortment, and customer lifetime value in omnichannel retail environments. Proficiency in machine learning techniques—classification, regression, clustering, recommendation engines, and advanced time-series forecasting applied to sales and inventory data. Strong command of statistical methods including A/B & multivariate testing, price-elasticity modeling, market-basket analysis, segmentation, and causal-impact evaluation. Expert programming in Python or R, plus SQL with retail-specific data-wrangling libraries (pandas, dbt) across cloud warehouses (BigQuery, Redshift, Synapse). Hands on BI fluency in developing interactive visualizations in Power BI, Tableau, or Looker that turn SKU-level data into actionable stories for category, trade-marketing, and supply-chain teams. Exposure to big data & real-time analytics stacks used in retail (Spark, Kafka, Delta Lake, Snowflake Streaming, Google Vertex AI). Ability to translate insights for merchandising, marketing, supply-chain, and store-operations stakeholders—communicating clearly with both technical data teams and business leaders. Nice to have Exposure to ML engineering (Azure ML, AWS SageMaker, GCP Vertex AI) Experience blending retail-media impression/click logs with sales to calculate ROAS and incrementality, or to build MMM-lite dashboards for brand teams. Roles and Responsibilities Assist analytics projects within the CPG & Retail domain, driving design, development, and delivery of data science solutions Develop and execute on project & analysis plans under the guidance of Project Manager Interact with and advise consultants/clients in US as a subject matter expert to formalize data sources to be used, datasets to be acquired, data & use case clarifications that are needed to get a strong hold on data and the business problem to be solved Drive and Conduct analysis using advanced analytics tools and coach the junior team members Implement necessary quality control measures in place to ensure the deliverable integrity like data quality, model robustness, and explainability for deployments. Validate analysis outcomes, recommendations with all stakeholders including the client team Build storylines and make presentations to the client team and/or PwC project leadership team Contribute to the knowledge and firm building activities

Role : AI Engineer. Experience : 3 to 6 years. Work Mode : WFO / Hybrid /Remote if applicable. Immediate Joiners. Job Description An ideal candidate will have experience, as we are building an AI-powered workforce intelligence platform that helps businesses optimize talent strategies, enhance decision making, and drive operational efficiency. Our software leverages cutting-edge AI, NLP, and data science to extract meaningful insights from vast amounts of structured and unstructured workforce data. As part of our new AI team, you will have the opportunity to work on real-world AI applications, contribute to innovative NLP solutions, and gain hands on experience in building AI-driven products from the ground up. Required Skills & Qualification Strong experience in Python programming. 3 + years of experience in Data Science/NLP (Freshers with strong NLP projects are welcome). Proficiency in Python, PyTorch, Scikit-learn, and NLP libraries (NLTK, Hugging Face). Basic knowledge of cloud platforms (AWS, GCP, or Azure). Familiarity with MLOps tools like Airflow, MLflow, or similar. Experience with Big Data processing (Spark, Pandas, or Dask). Experience with SQL for data manipulation and analysis. Assist in designing, training, and optimizing ML/NLP models using PyTorch, NLTK, Scikitlearn, and Transformer models (BERT,GPT,etc.) Experience with GenAI tech stacks including foundational models (GPT-4, Claude, Gemini), frameworks (LangChain, LlamaIndex), and deployment tools (Hugging Face, AWS Bedrock, Vertex AI, vector DBs like FAISS/Pinecone). Help deploy AI/ML solutions on AWS, GCP, or Azure. Collaborate with engineers to integrate AI models into production systems. Expertise in using SQL and Python to clean, preprocess, and analyze large datasets. Learn & Innovate Stay updated with the latest advancements in NLP, AI, and ML frameworks. Strong analytical and problem-solving skills. Willingness to learn, experiment, and take ownership in a fast-paced startup environment. Nice To Have Requirements For The Candidate Desire to grow within the company. Team player and Quicker learner. Performance-driven. Strong networking and outreach skills. Exploring aptitude & killer attitude. Ability to communicate and collaborate with the team at ease. Drive to get the results and not let anything get in your way. Critical and analytical thinking skills, with a keen attention to detail. Demonstrate ownership and strive for excellence in everything you do. Demonstrate a high level of curiosity and keep abreast of the latest technologies & tools. Ability to pick up new software easily and represent yourself peers and co-ordinate during meetings with Customers. What We Offer We offer a market-leading salary along with a comprehensive benefits package to support your well-being. Enjoy a hybrid or remote work setup that prioritizes work-life balance and personal wellbeing. We invest in your career through continuous learning and internal growth opportunities. Be part of a dynamic, inclusive, and vibrant workplace where your contributions are recognized and rewarded. We believe in straightforward policies, open communication, and a supportive work environment where everyone thrives. (ref:hirist.tech)

Responsibilities Design and implement advanced solutions utilizing Large Language Models (LLMs). Demonstrate self-driven initiative by taking ownership and creating end-to-end solutions. Conduct research and stay informed about the latest developments in generative AI and LLMs. Develop and maintain code libraries, tools, and frameworks to support generative AI development. Participate in code reviews and contribute to maintaining high code quality standards. Engage in the entire software development lifecycle, from design and testing to deployment and maintenance. Collaborate closely with cross-functional teams to align messaging, contribute to roadmaps, and integrate software into different repositories for core system compatibility. Possess strong analytical and problem-solving skills. Demonstrate excellent communication skills and the ability to work effectively in a team environment. Primary Skills Natural Language Processing (NLP): Hands-on experience in use case classification, topic modeling, Q&A and chatbots, search, Document AI, summarization, and content generation. Computer Vision and Audio: Hands-on experience in image classification, object detection, segmentation, image generation, audio, and video analysis. Generative AI: Proficiency with SaaS LLMs, including Lang chain, llama index, vector databases, Prompt engineering (COT, TOT, ReAct, agents). Experience with Azure OpenAI, Google Vertex AI, AWS Bedrock for text/audio/image/video modalities. Familiarity with Open-source LLMs, including tools like TensorFlow/Pytorch and huggingface. Techniques such as quantization, LLM finetuning using PEFT, RLHF, data annotation workflow, and GPU utilization. Cloud: Hands-on experience with cloud platforms such as Azure, AWS, and GCP. Cloud certification is preferred. Application Development: Proficiency in Python, Docker, FastAPI/Django/Flask, and Git. Tech Skills (10+ Years Experience): Machine Learning (ML) & Deep Learning Solid understanding of supervised and unsupervised learning. Proficiency with deep learning architectures like Transformers, LSTMs, RNNs, etc. Generative AI: Hands-on experience with models such as OpenAI GPT4, Anthropic Claude, LLama etc. Knowledge of fine-tuning and optimizing large language models (LLMs) for specific tasks. Natural Language Processing (NLP): Expertise in NLP techniques, including text preprocessing, tokenization, embeddings, and sentiment analysis. Familiarity with NLP tasks such as text classification, summarization, translation, and question-answering. Retrieval-Augmented Generation (RAG): In-depth understanding of RAG pipelines, including knowledge retrieval techniques like dense/sparse retrieval. Experience integrating generative models with external knowledge bases or databases to augment responses. Data Engineering: Ability to build, manage, and optimize data pipelines for feeding large-scale data into AI models. Search and Retrieval Systems: Experience with building or integrating search and retrieval systems, leveraging knowledge of Elasticsearch, AI Search, ChromaDB, PGVector etc. Prompt Engineering: Expertise in crafting, fine-tuning, and optimizing prompts to improve model output quality and ensure desired results. Understanding how to guide large language models (LLMs) to achieve specific outcomes by using different prompt formats, strategies, and constraints. Knowledge of techniques like few-shot, zero-shot, and one-shot prompting, as well as using system and user prompts for enhanced model performance. Programming & Libraries: Proficiency in Python and libraries such as PyTorch, Hugging Face, etc. Knowledge of version control (Git), cloud platforms (AWS, GCP, Azure), and MLOps tools. Database Management: Experience working with SQL and NoSQL databases, as well as vector databases APIs & Integration: Ability to work with RESTful APIs and integrate generative models into applications. Evaluation & Benchmarking: Strong understanding of metrics and evaluation techniques for generative models. (ref:hirist.tech)

Role Overview We are seeking a highly skilled and forward-thinking Manager – Data Science & Generative AI to lead data-driven innovation within our organization. This role requires a blend of technical expertise in machine learning and GenAI, team leadership, and strategic thinking to build scalable solutions and drive business transformation through intelligent systems. As a Manager, you will lead cross-functional teams, guide AI/ML project lifecycles, and help deploy Generative AI models into real-world applications, ranging from content generation to intelligent automation. Key Responsibilities Lead the end-to-end lifecycle of data science and Generative AI projects—from problem scoping and data exploration to model deployment and performance monitoring. Manage a team of data scientists and ML engineers, providing technical guidance and mentorship. Develop and implement advanced machine learning models including deep learning, NLP, and GenAI architectures (e.g., transformers, LLMs). Collaborate with product, engineering, and business teams to identify AI opportunities, define use cases, and deploy innovative solutions. Evaluate and fine-tune pre-trained foundation models (e.g., GPT, Claude, LLaMA, Gemini) for domain-specific applications using prompt engineering, fine-tuning, or retrieval-augmented generation (RAG). Lead the creation of synthetic data, content generation, and intelligent assistants using GenAI capabilities. Drive responsible AI practices and ensure model transparency, fairness, and compliance with ethical and regulatory guidelines. Contribute to strategic roadmaps for AI adoption across the enterprise. Present findings, models, and strategies to stakeholders and senior leadership. Required Skills & Experience: 6–10 years of experience in Data Science or AI/ML, including at least 2–3 years in a managerial or lead role. Strong proficiency in Python and data science libraries (NumPy, Pandas, scikit-learn, TensorFlow, PyTorch). Proven experience in building and deploying ML models in production environments. Solid experience working with Generative AI tools and platforms (e.g., OpenAI APIs, Hugging Face, LangChain, Vertex AI, Azure OpenAI). Expertise in NLP, LLMs, prompt engineering, fine-tuning, and text generation. Familiarity with cloud platforms (AWS, GCP, Azure) and MLOps pipelines. Strong understanding of data engineering concepts, APIs, and scalable architectures. Excellent problem-solving, project management, and communication skills. Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field (PhD is a plus). Nice to Have: Experience with Retrieval-Augmented Generation (RAG) and vector databases (e.g., FAISS, Pinecone, Weaviate). Familiarity with model safety, explainability (XAI), and ethical AI frameworks. Publications or contributions in AI/ML conferences or open-source projects. Hands-on experience in GenAI use cases like document summarization, chatbots, code generation, or marketing automation.

What You’ll Do Design, develop and deploy agent-based AI systems using LLMs Build and scale Retrieval-Augmented Generation pipelines for real-time and offline inference. Develop and optimize training workflows for fine-tuning and adapting models to domain-specific tasks. Collaborate with cross-functional teams to integrate knowledge base into agent frameworks. Drive best practices in AI Engineering, model lifecycle management, and production deployment on Google Cloud (GCP) Implement version control strategies using Git, manage code repositories and ensure best practices in code management. Develop, manage CI/CD pipelines using Jenkins or other relevant tools to streamline deployment and updates. Monitor, evaluate, and improve model performance post- deployment on Google Cloud. Communicate technical findings and insights to non-technical stakeholders. Participate in technical discussions and contribute to strategic planning. What Experience You Need Master's / Bachelors in Computer Science, Artificial Intelligence, Machine Learning, or related field. 7+ years of experience in AI/ML engineering, with a strong focus on LLM-based applications. At least 10+ years of experience in IT overall. Proven experience in building agent-based applications using Gemini, OpenAI or similar models. Deep understanding of RAG systems, vector databases, and knowledge retrieval strategies. Hands-on experience with LangChain and LangGraph frameworks. Solid background in model training, fine-tuning, evaluation and deployment. Strong coding skills in Python and experience with modern MLOps practices. What Could Set You Apart Familiarity with frontend integration of AI agents (Eg. using Angular, Mesop or similar frameworks). Experience with Google Cloud services like BigQuery, Vertex AI, Agent Builder, ADK. Exposure to Angular framework

SAP FI RTR Six years of experience working in multiple RTR areas such as Banking and EBS, GL and intercompany, Accounts Payable, Accounts Receivable, Retail Finance, Supply Chain Accounting, Tax and Treasury At least four years of relevant Retail domain experience Four years of experience with third-party finance application interfaces such as Kyriba or Vertex RTR to OTC configuration experience Ability to work till 5pm EST as required (at least till 2pm) or 3 PM to 12 PM IST Outstanding communication and documentation skills Role & responsibilities Preferred candidate profile Interested Can share resumes to sushma.rani@thoughtwavesoft.com

Hi all, We are hiring for the Role SAP S/4HANA FI TAX Consultant Experience: 8 - 12 Years Location: Bangalore Notice Period: Immediate - 15 Days Skills: Configure VAT and Withholding Tax (TDS) in SAP Design and support external tax calculations (Vertex) in O2C & P2P cycles Work on Tax Procedures , Tax Codes , Pricing Conditions , and WHT setup Write functional specs and manage custom object development (WRICEF) Build interfaces for 3rd-party systems, manage IDoc/XML integrations Collaborate with functional and technical teams to align configurations and processes Deliver support documentation, BPPs , FAQs, and regression test procedures Minimum 1 SAP S/4HANA implementation and 2 support projects Strong knowledge in SAP FI Tax, VAT, WHT , and Vertex Experience with external interface design, functional specs, and WRICEF Ability to work in fast-paced environments, independently or in teams Excellent communication and collaboration skills Willingness to support shifts if required If you are intereted drop your resume at mojesh.p@acesoftlabs.com Call: 9701971793

As a GSS Sales Tax Compliance Manager, you will: Interact with partners, senior managers, staff, and clients to provide sales tax compliance expertise. Specifically, the primary responsibilities of the GSS Sales Tax Compliance Manager are focused in the following areas: Staff Supervision, Development and Training Project/Task Management Client Service relating to sales tax filings Implementation of sales tax initiatives for GSS team Communication of sales tax developments as it impacts compliance practice Personal and Professional Development Specific Duties include: Project/Task Management Oversee a wide variety of sales tax compliance tasks as the lead GSS Manager acting as escalation point and training resource Alert SALT Partner/Director in a timely fashion of any issues, constraints, challenges, and/or scheduling conflicts that may arise in completing assigned tasks. Accept responsibility for, complete tasks, and/or supervise tasks assigned by firm’s Senior Managers/Directors. Make effective use of firm resources to complete projects. Implementation of SALT Initiatives Assist firm SALT Leadership Team in identifying efficiency based SALT initiatives to implement throughout the GSS practice. Provide technical support and/or project management for GSS tasks. Communication of SALT Developments Keep abreast of significant current developments effecting sales tax compliance services. Identify developments having a potentially significant impact on client base, and follow up with internal and/or external communications as deemed appropriate. Staff Supervision Take responsibility for subordinates’ activities and chargeability. Effectively delegate and manage work given to staff. Develop team processes and systems to improve the productivity and growth of the business. Provide regular performance feedback as well as deliver timely performance evaluations. Develop subordinates’ technical and industry skills and encourage growth. Gain the respect and confidence of the partners through clear and concise team direction. Personal and Professional Development Earn confidence, trust and respect from clients and colleagues. Continue developing Sales Tax knowledge and expertise. Demonstrate initiative, vision, resourcefulness, creativity, and independent thinking. Demonstrate sound business judgment. Develop an ability to motivate and train both self and staff. What you bring to the role: Education/Certifications: Bachelor’s business degree; Minimum of 5-8 years of progressive Sales and Use Tax of compliance experience in a Big 4 or large SALT specialty firm Experience with various Sales Tax Technology Platforms including Vertex and Avalara Proven competence with MS Office, particularly Excel. Experience with Alteryx is a plus. Solid organizational skills with a demonstrated ability to multi-task.

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! 🚀

We are looking for a Three JS Developer to join our team at Digital Apple. As a Three .js developer, you’ll be working with the 3D modeling team to build and support three.js-based 3D viewer applications, infographics that integrate tightly with our products. We are creating a 3D interactive infographic, which needs to be created with a building model three js animation for a website. It should look and behave exactly like in this example https://skolkovoforbusiness.ru/en/features/#home Responsibilities Understand and shape product functionality by providing very deep technology focused insights. Own/maintain code – everything from design, development to bug fixing. Focus on clean high-quality code. Facilitate problem diagnosis and resolution for issues reported by Customers. Deliver to schedule and timelines based on an Agile/Scrum based approach. Must be able to independently design code and test major features, as well as work jointly with other team members to deliver complex changes. Estimate engineering effort, plan implementation, and rollout system changes that meet requirements for functionality, performance, scalability and reliability. Write and execute unit tests cases for the developed functionalities. Skills Requirement Knowledge of JavaScript, HTML5, Responsive Web Development and WebAR. Should have good exposure in 3D Mathematics and Coordinate Geometry. Must have experience in delivering Three JS applications involving complex mathematical calculations. Experience with WebGL and Three.js. Knowledge in using vertex shaders and pixel shaders on a graphic processor. Should have good planning, organizing, multitasking and effective communication skills. Foundational knowledge in Maya or a similar tool is a plus. About The Company Digital Apple is a leading B2B agency servicing global clients such as American Express, Sodexo, JLL, Tata Communications, Lumen and more. We create interactive experiences for our customers via a range of capabilities in branding/marketing, video production, interactive experiences, digital solutions and more. We are agile, we are innovative and thrive to deliver the best to our customers. We are a global team of 40 team members with HQ in India, but teams spread out in UK, Ukraine and Canada. If you are a hustler and committed – this is a company where you can make an amazing career. The company is co-founded by 2 senior leaders with 20+ years of experience in companies like Amex, GE and IBM.

DESCRIPTION Amazon is seeking a Tax Manager to join its US International tax team in Hyderabad (India) to focus on US international income tax reporting and compliance. We are looking for candidates who thrive in a fast-paced and dynamic environment and who can work independently to deliver results on multiple projects with competing deadlines. This role will require review of (preparation at times, as and when needed) US International tax forms, calculations prepared by junior staff members as well as working on various projects, process improvement initiatives and ad hoc requests for various stakeholders. Key job responsibilities Assisting with review of US International tax forms 5471, 8858, 8992, 8993, 8621 and other reporting forms; Review of various International tax calculations like GILTI, BEAT, Sub part F, Dual Consolidated Losses (DCL), Foreign tax credit calculations, PFIC testing etc.; Research and analyze a variety of international tax areas including BEAT, FDII, Subpart F, and GILTI Research effects of various international transactions Provide assistance on special projects, process automations/simplifications; BASIC QUALIFICATIONS 4+ years of tax, finance or a related analytical field experience Knowledge of Microsoft Office products and applications at an advanced level Experience working in a large public accounting firm or multi-national corporate tax department PREFERRED QUALIFICATIONS 3+ years of maintaining and operating transaction tax calculation software (e.g. Vertex) experience Experience with VBA, Python, SQL, or other database language Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Job details IND, TS, Hyderabad Tax Finance and Global Business Services

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. SAP MM Job Description: Position: SAP Senior MM Consultant Required Qualifications: Bachelor’s degree (or equivalent experience) Preferably Engineering Minimum two e2e Implementation Project along with experience in Support / Roll out / Upgrade Projects 3-5 Yrs. of Relevant experience Professional Mandatory Requirements: Strong knowledge of Business Processes Implementation Methodology Consumables Procurement Process Imports Procurement Source determination Demand Flow STO Automatic A/C Determination Automatic PO Conversion Pricing Procedure Output Determination Batch Management Sub-Contracting Third Party Sub-Contracting A/C Entries for the Document posting Serialization Consignment Pipeline Invoice planning Automatic PO Procedures Evaluated receipt Settlement EDI associated to Order/Delivery/Confirmation/Invoice/Material Master Data Migration with LSMW/BDC Added Advantage: Domain Experience will be added advantage. Worked with taxation components like Vertex will be added advantage. Knowledge on ABAP debugging. SAP MM Certification will be added advantage. Knowledge on Integration Modules like WM / QM / PP / SD will be an added advantage. Roles/Responsibilities: Strong configuration hands on experience in Material Management. Integration with WM / QM / PP / SD modules and with external applications. Responsible for planning and executing SAP Implementation / Development / Support activities regard to SAP – Material Management and ability to Lead the team. Understand client requirements, provide solutions, functional specifications and configure the system accordingly Ability to create presentation/workshop material for Blueprint that need to be conveyed and be able to present them to the client. Ability to create Process Flows in Microsoft Visios for the clients proposed business processes. Ability to create Process Definition Document / Design Document (PDD) and Business Process Procedure (BPP) for the solutions provided. Ability to configure SAP MM and deliver work products / packages conforming to the Client's Standards & Requirements. General: Should have good written & communication skills. Should able to handle the client individually. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Posted On: 14 Jul 2025 Location: Noida, UP, India Company: Iris Software Why Join Us? Are you inspired to grow your career at one of India’s Top 25 Best Workplaces in IT industry? Do you want to do the best work of your life at one of the fastest growing IT services companies ? Do you aspire to thrive in an award-winning work culture that values your talent and career aspirations ? It’s happening right here at Iris Software. About Iris Software At Iris Software, our vision is to be our client’s most trusted technology partner, and the first choice for the industry’s top professionals to realize their full potential. With over 4,300 associates across India, U.S.A, and Canada, we help our enterprise clients thrive with technology-enabled transformation across financial services, healthcare, transportation & logistics, and professional services. Our work covers complex, mission-critical applications with the latest technologies, such as high-value complex Application & Product Engineering, Data & Analytics, Cloud, DevOps, Data & MLOps, Quality Engineering, and Business Automation. Working at Iris Be valued, be inspired, be your best. At Iris Software, we invest in and create a culture where colleagues feel valued, can explore their potential, and have opportunities to grow. Our employee value proposition (EVP) is about “Being Your Best” – as a professional and person. It is about being challenged by work that inspires us, being empowered to excel and grow in your career, and being part of a culture where talent is valued. We’re a place where everyone can discover and be their best version. Job Description We are seeking a Data Science Engineer to design, build, and optimize scalable data and machine learning systems. This role requires strong software engineering skills, a deep understanding of data science workflows, and the ability to work cross-functionally to translate business problems into production-level data solutions. Key Responsibilities: Design, implement, and maintain data science pipelines from data ingestion to model deployment. Collaborate with data scientists to operationalize ML models and algorithms in production environments. Develop robust APIs and services for ML model inference and integration. Build and optimize large-scale data processing systems using Spark, Pandas, or similar tools. Ensure data quality and pipeline reliability through rigorous testing, validation, and monitoring. Work with cloud infrastructure (AWS) for scalable ML deployment. Manage model versioning, feature engineering workflows, and experiment tracking. Optimize performance of models and pipelines for latency, cost, and throughput. Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field. 5+ years of experience in a data science, ML engineering, or software engineering role. Proficiency in Python (preferred) and SQL; knowledge of Java, Scala, or C++ is a plus. Experience with data science libraries like Scikit-learn, XGBoost, TensorFlow, or PyTorch. Familiarity with ML deployment tools such as ML flow, Sage Maker, or Vertex AI. Solid understanding of data structures, algorithms, and software engineering best practices. Experience working with databases (SQL, NoSQL) and data lakes (e.g., Delta Lake, Big Query). Preferred Qualifications: Experience with containerization and orchestration (Docker, Kubernetes). Experience working in Agile or cross-functional teams. Familiarity with streaming data platforms (Kafka, Spark Streaming, Flink). Soft Skills: Strong communication skills to bridge technical and business teams. Excellent problem-solving and analytical thinking. Self-motivated and capable of working independently or within a team. Passion for data and a curiosity-driven mindset. Mandatory Competencies Data Science and Machine Learning - Data Science and Machine Learning - AI/ML Database - Database Programming - SQL Programming Language - Python - Panda Cloud - GCP - Cloud Data Fusion, Dataproc, BigQuery, Cloud Composer, Cloud Bigtable Database - No SQL - Elastic, Solr, Lucene etc Programming Language - Other Programming Language - Scala Agile - Agile - SCRUM DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - Containerization (Docker, Kubernetes) Cloud - AWS - Tensorflow on AWS, AWS Glue, AWS EMR, Amazon Data Pipeline, AWS Redshift Beh - Communication and collaboration Perks and Benefits for Irisians At Iris Software, we offer world-class benefits designed to support the financial, health and well-being needs of our associates to help achieve harmony between their professional and personal growth. From comprehensive health insurance and competitive salaries to flexible work arrangements and ongoing learning opportunities, we're committed to providing a supportive and rewarding work environment. Join us and experience the difference of working at a company that values its employees' success and happiness.

Location : Hyderabad and Chennai Immediate Joiners Experience : 3 to 5 years Mandatory skills: MLOps, Model lifecycle + Python + PySpark + GCP (BigQuery, Dataproc & Airflow), And CI/CD Required Skills and Experience: Strong programming skills: Proficiency in languages like Python, with experience in libraries like TensorFlow, PyTorch, or scikit-learn. Cloud Computing: Deep understanding of GCP services relevant to ML, such as Vertex AI, BigQuery, Cloud Storage, Dataflow, Dataproc, and others. Data Science Fundamentals: Solid foundation in machine learning concepts, statistical analysis, and data modeling. Software Engineering Principles: Experience with software development best practices, version control (e.g., Git), and testing methodologies. MLOps: Familiarity with MLOps principles and practices. Data Engineering: Experience in building and managing data pipelines.

We are seeking a highly experienced Principal Solution Architect to lead the design, development, and implementation of sophisticated cloud-based data solutions for our key clients. The ideal candidate will possess deep technical expertise across multiple cloud platforms (AWS, Azure, GCP), data architecture paradigms, and modern data technologies. You will be instrumental in shaping data strategies, driving innovation through areas like GenAI and LLMs, and ensuring the successful delivery of complex data projects across various industries. Key Responsibilities: Solution Design & Architecture: Lead the architecture and design of robust, scalable, and secure enterprise-grade data solutions, including data lakes, data warehouses, data mesh, and real-time data pipelines on AWS, Azure, and GCP. Client Engagement & Pre-Sales: Collaborate closely with clients to understand their business challenges, translate requirements into technical solutions, and present compelling data strategies. Support pre-sales activities, including proposal development and solution demonstrations Data Strategy & Modernization: Drive data and analytics modernization initiatives, leveraging cloud-native services, Big Data technologies, GenAI, and LLMs to deliver transformative business value Industry Expertise: Apply data architecture best practices across various industries (e.g., BFSI, Retail, Supply Chain, Manufacturing) Requireme ntsRequired Qualifications & Skills Experience: 10+ years of experience in IT, with a significant focus on data architecture, solution architecture, and data engineering. Proven experience in a principal-level or lead architect role Cloud Expertise: Deep, hands-on experience with major cloud platforms: Azure: (Microsoft Fabric, Data Lake, Power BI, Data Factory, Azure Purview ), good understanding of Azure Service Foundry, Agentic AI, copi lotGCP: (Big Query, Vertex.AI, Gemini) Data Science Leadership: Understanding and experience in integrating AI/ML capabilities, including GenAI and LLMs, into data solutions Leadership & Communication: Exceptional communication, presentation, and interpersonal skills. Proven ability to lead technical teams and manage client relationships Problem-Solving: Strong analytical and problem-solving abilities with a strategic minds Education: Bachelors or masters degree in computer science, Engineering, Information Technology, or a related field Preferred Qualifications Relevant certifications in AWS, Azure, GCP, Snowflake, or Databricks Experience with Agentic AI, hyper-intelligent automation

Greetings from Stanco Solutions a leading and fast growing IT Services and IT Consulting Company. Currently we are hiring for Project Manager for our company Full Time/Permanent Role with Immediate to 15 Days Joiners only. Total Experience: 12 - 15 years Notice Period: Immediate to 15 Days Location: Chennai Work Mode: Work From Office Interview Mode: Virtual Interested candidates kindly share your updated CV to ruban.p@stancosolutions.com and for further queries kindly call to +91-8248551519. 1. Project Planning & Execution Define project scope, schedule, milestones, and deliverables . Prepare project charters, plans, and WBS (Work Breakdown Structure) . Create and manage Agile sprint plans and ensure iteration goals are met . 2. Stakeholder & Team Management Act as a bridge between business, development, QA, and infrastructure teams . Manage internal and external stakeholder expectations . Coordinate with cross-functional teams for on-time and on-budget delivery . 3. Technical Oversight & Risk Management Provide technical input and oversight on architecture and build activities. Track and mitigate technical, resource, and delivery risks proactively . Drive resolution of blockers, dependencies, and escalations. 4. Progress Tracking & Communication Use tools like JIRA or Azure DevOps for project tracking and burndown charts . Generate daily/weekly status reports, dashboards, and executive summaries . Present status updates and delivery health reports to senior management . 5. Quality, Compliance & Governance Ensure QA, UAT, and release processes are followed. Drive process improvement initiatives across the team. Maintain audit trails, change logs, and sign-off documentation . Primary Skills: Project Management (Agile/Scrum/Waterfall/Hybrid Models) Software Delivery Lifecycle (SDLC) Ownership Working Knowledge of Full Stack Development React.js (Frontend) Java (Backend APIs) MySQL (Database Queries, Data Models) Agile Planning Tools (JIRA, Azure DevOps, Trello, ClickUp) CI/CD Implementation Understanding (Jenkins, GitHub Actions, Azure Pipelines) Resource Planning, Sprint Management, and Backlog Grooming Risk & Issue Management, Change Requests, RCA Documentation Project Tracking, Budgeting & Estimation Stakeholder Communication & Cross-Functional Team Coordination Status Reporting to Senior Leadership and C-level Executives Secondary Skills: Exposure to AI/ML Project Lifecycle & Tools (MLFlow, Vertex AI, Azure ML – conceptual level) Cloud Platform Understanding (Azure, AWS, or GCP) DevOps Awareness (Version Control, Pipelines, Release Cycles) Quality Assurance Coordination & Release Sign-off Processes Team Coaching, Conflict Management & People Leadership Documentation & Process Improvement