1489 Vertex Jobs - Page 9

Job Description Design, develop, and implement AI/ML models and algorithms. Focus on building Proof of Concept (POC) applications to demonstrate the feasibility and value of AI solutions. Write clean, efficient, and well-documented code. Collaborate with data engineers to ensure data quality and availability for model training and evaluation. Work closely with senior team members to understand project requirements and contribute to technical solutions. Troubleshoot and debug AI/ML models and applications. Stay up-to-date with the latest advancements in AI/ML. Utilize machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) to develop and deploy models. Develop and deploy AI solutions on Google Cloud Platform (GCP). Implement data preprocessing and feature engineering techniques using libraries like Pandas and NumPy. Utilize Vertex AI for model training, deployment, and management. Integrate and leverage Google Gemini for specific AI : Bachelor's degree in Computer Science, Artificial Intelligence, or a related field. 7+ years of experience in developing and implementing AI/ML models. Strong programming skills in Python. Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. Good understanding of machine learning concepts and techniques. Ability to work independently and as part of a team. Strong problem-solving skills. Good communication skills. Experience with Google Cloud Platform (GCP) is preferred. Familiarity with Vertex AI is a plus. (ref:hirist.tech)

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Google Cloud Platform Architecture Good to have skills : NA Minimum 5 Year(s) Of Experience Is Required Educational Qualification : Total 15 years of full time education Summary: As an AI/ML 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 Gen AI models as part of the solution, utilizing deep learning, neural networks and chatbots. Roles & Responsibilities: - Solutioning and designing CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist, conversational AI. - Design, develop and implement chatbot solutions that integrate seamlessly with CCAI and other Cloud services - Develop CCAI- 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. - Ensure proper cloud application pipeline with production-ready quality. Professional & Technical Skills: - Must To Have Skills: CCAI 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 4 -7.5 years of experience in Google Cloud Machine Learning Services and overall experience 7.5 - 9 years - 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. - This position is based at our Bengaluru office.

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Your Role Develop and implement Generative AI / AI solutions on Google Cloud Platform Work with cross-functional teams to design and deliver AI-powered products and services Work on developing, versioning and executing Python code Deploy models as endpoints in Dev Environment Solid understanding of python Deep learning frameworks such as TensorFlow, PyTorch, or JAX Natural language processing (NLP) and machine learning (ML) Cloud storage, compute engine, VertexAI, Cloud Function, Pub/Sub, Vertex AI etc Generative AI support in Vertex, specifically handson experience with Generative AI models like Gemini, vertex Search etc Your Profile Experience in Generative AI development with Google Cloud Platform Experience in delivering an AI solution on VertexAI platform Experience in developing and deploying AI Solutions with ML What You’ll Love About Working Here You can shape your career with us. We offer a range of career paths and internal opportunities within Capgemini group. You will also get personalized career guidance from our leaders. You will get comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage or new parent support via flexible work. You will have the opportunity to learn on one of the industry's largest digital learning platforms, with access to 250,000+ courses and numerous certifications About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

At PwC, our people in business application consulting specialise in consulting services for a variety of business applications, helping clients optimise operational efficiency. These individuals analyse client needs, implement software solutions, and provide training and support for seamless integration and utilisation of business applications, enabling clients to achieve their strategic objectives. Those in SAP finance at PwC will specialise in providing consulting services for SAP finance applications. You will analyse client requirements, implement software solutions, and offer training and support for seamless integration and utilisation of SAP finance applications. Working in this area, you will enable clients to optimise financial processes, improve financial reporting, and achieve their strategic objectives. 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. Job Summary - A career in our Managed Services team will give you an opportunity to collaborate with many teams to help our clients implement and operate new capabilities, achieve operational efficiencies, and harness the power of technology. Our Application Evolution Services team will provide you with the opportunity to help organizations harness the power of their enterprise applications by optimizing the technology while driving transformation and innovation to increase business performance. We assist our clients in capitalizing on technology improvements, implementing new capabilities, and achieving operational efficiencies by managing and maintaining their application ecosystems. We help our clients maximize the value of their SAP investment by managing the support and continuous transformation of their solutions in the areas of sales, finance, supply chain, engineering, manufacturing and human capital Minimum Degree Required (BQ) *: Bachelor’s Degree Required Field(s) Of Study (BQ) Preferred Field(s) of Study: Minimum Year(s) of Experience (BQ) *: US Minimum Of 6-10 Years Of Experience Preferred Skills/Certification(s) Preferred: SAP Certification in FICO/CFIN Experience in S/4HANA (Public Cloud) Preferred Knowledge As a manager, you’ll work as part of a team of problem solvers with extensive consulting and industry experience, helping our clients solve their complex business issues from strategy to execution. Specific responsibilities include but are not limited to: Proactively assist in the management of a portfolio of clients, while reporting to Senior Managers and above. Be involved in the financial metrics. Be actively involved in business development activities to help identify and research opportunities on new/existing clients. Contribute to the development of your own and team’s technical acumen. Use data and insights to inform conclusions and support decision-making. Adherence to SLAs, experience in incident management, change management and problem management. Develop new skills and strategies to solve complex technical challenges. Assist in the management and delivering of large projects. Train, coach, and supervise staff to recognize their strengths and encourage them to take ownership of their personal development. Act to resolve issues which prevent the team working effectively. Keep up to date with local and national business and economic issues. Continue to develop internal relationships and the PwC brand. Build a strong team environment that includes client interactions, workstream management, and cross-team collaboration. Actively engage in cross competency work and contribute to COE activities. Demonstrating project management skills including the ability to manage multiple projects simultaneously while being detail oriented. Technical Skills Responsible for planning and executing SAP Implementation / Development / Support activities regarding SAP Finance and Controlling (FI-CO) along with Central Finance (CFIN). Understand client requirements, provide solutions, functional specifications and configure the system accordingly. Ability to configure SAP FI-CO and CFIN, deliver work products / packages confirming to the Client's Standards & Requirements. Integration of the FI-CO module with other SAP modules and with external applications. Hands on experience in configuring / defining the following in the FICO / CFIN: SAP FI – General Ledger Accounting SAP FI – Accounts Receivable & Accounts Payable SAP FI – Asset Accounting SAP FI – Fixed Assets SAP CO – Cost Centers and Profit Centers SAP CO – Internal Orders SAP CO – Product Costing Master Data – GL, FA, CO, Consolidations Treasury Process – Master Data and Transactions Month End Close – Activities and foreign currency valuations Cost Management and Profitability Analysis – Financial Plan Data Upload File, FP&A, Margin Analysis, Overhead Cost Accounting, Universal Allocation Central Finance -Initial Loads Central Finance - Error Cockpit ICMR -Configuration, Matching Methods, Reconciliation Case, Matching Rules/Matching Expressions TAX – Indirect Tax – Tax Engine Vertex, US Sales and Tax Reporting, Exemption Certificate Management, S4 ProCo Alignment Vertex/Alteryx/SAP S4 VAT: Transactional Tax Determination and Tax Accounting in S4 (Non-US VAT in different countries), Electronic Tax Invoicing using SAP DRC (for India and Mexico) using SAP DRC, Indirect Tax Reporting using SAP DRC (Non-US VAT), SAP Deferred tax transfer program. TAX – Direct Tax – Income TAX Accounting (Provision), Income Tax Compliance, Withholding Tax, Tax Technology / Operations. Transfer Pricing – Intercompany Cost Allocations, Intercompany Services, Cost Sharing, Reporting and Analytics Cash Basis Ledger – Data Transfer, Transaction Posting, Reports Interfaces Works to minimize meetings and ceremonies, but when they are needed, they are well-run and efficient. Encourages a culture of team-driven decision making and commitment. Encourages team trust and facilitates team building events. Where appropriate, coaches the teams to improve collaboration and outcomes (coaching is the primary responsibility of teams’ managers) Qualification Good knowledge of SAP S/4HANA architecture and functionality ITIL 4 Certification Soft Skills Self-driven with a can-do attitude, with an excellent communication and client-facing skills Problem-solving mindset and ability to work in a collaborative environment. Strong relationship builder within the organization and with external partners.

Overview: TekWissen is a global workforce management provider throughout India and many other countries in the world. The below clientis a global company with shared ideals and a deep sense of family. From our earliest days as a pioneer of modern transportation, we have sought to make the world a better place – one that benefits lives, communities and the planet Job Title: Specialty Development Consultant Location: Chennai Work Type: Hybrid Position Description: Train, Build and Deploy ML, DL Models Software development using Python, work with Tech Anchors, Product Managers and the Team internally and across other Teams Ability to understand technical, functional, non-functional, security aspects of business requirements and delivering them end-to-end Software development using TDD approach Experience using GCP products & services Ability to adapt quickly with opensource products & tools to integrate with ML Platforms Skills Required: Python, cloud, GCP Experience Required: 3+ years of experience in Python software development 3+ years experience in Cloud technologies & services, preferably GCP 3+ years of experience of practicing statistical methods and their accurate application e.g. ANOVA, principal component analysis, correspondence analysis, k-means clustering, factor analysis, multi-variate analysis, Neural Networks, causal inference, Gaussian regression, etc. 3+ years experience with Python, SQL, BQ. Experience in SonarQube, CICD, Tekton, terraform, GCS, GCP Looker, Vertex AI, Airflow, TensorFlow, etc., Experience in Train, Build and Deploy ML, DL Models Ability to understand technical, functional, non-functional, security aspects of business requirements and delivering them end-to-end. Ability to adapt quickly with opensource products & tools to integrate with ML Platforms Building and deploying Models (Scikit learn, DataRobots, TensorFlow PyTorch, etc.) Developing and deploying On-Prem & Cloud environments Kubernetes, Tekton, OpenShift, Terraform, Vertex AI Experience Preferred: 2 to 5 yrs Education Required: Bachelor's Degree TekWissen® Group is an equal opportunity employer supporting workforce diversity.

Position: AI Architect Location: Hyderabad Experience: 15+ Years (with 3–5 years in AI/ML-focused roles) Employment Type: Full-Time About the Role: We are looking for a visionary AI Architect to lead the design and deployment of advanced AI solutions. You’ll work closely with data scientists, engineers, and product teams to translate business needs into scalable, intelligent systems. Key Responsibilities: Design end-to-end AI architectures including data pipelines, ML/DL models, APIs, and deployment frameworks Evaluate AI technologies, frameworks, and platforms to meet business and technical needs Collaborate with cross-functional teams to gather requirements and translate them into AI use cases Build scalable AI systems with focus on performance, robustness, and cost-efficiency Implement MLOps pipelines to streamline model lifecycle Ensure AI governance, data privacy, fairness, and explainability across deployments Mentor and guide engineering and data science teams Required Skills: Expertise in Machine Learning / Deep Learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) Strong proficiency in Python and one or more of: R, Java, Scala Deep understanding of cloud platforms (AWS, Azure, GCP) and tools like SageMaker, Bedrock, Vertex AI, Azure ML Familiarity with MLOps tools : MLflow, Kubeflow, Airflow, Docker, Kubernetes Solid understanding of data architecture , APIs , and microservices Knowledge of NLP, computer vision, and generative AI is a plus Excellent communication and leadership skills Preferred Qualifications: Bachelor’s or Master’s in Computer Science, Data Science, AI, or a related field AI/ML certifications (AWS, Azure, Coursera, etc.) are a bonus Experience working with LLMs, RAG architectures, or GenAI platforms is a plus

Job Title: Business Analyst Lead – Generative AI Experience: 7–15 Years Location: Bangalore Designation Level: Lead Role Overview: We are looking for a Business Analyst Lead with a strong grounding in Generative AI to bridge the gap between innovation and business value. In this role, you'll drive adoption of GenAI tools (LLMs, RAG systems, AI agents) across enterprise functions, aligning cutting-edge capabilities with practical, measurable outcomes. Key Responsibilities: 1. GenAI Strategy & Opportunity Identification Collaborate with cross-functional stakeholders to identify high-impact Generative AI use cases (e.g., AI-powered chatbots, content generation, document summarization, synthetic data). Lead cost-benefit analyses (e.g., fine-tuning open-source models vs. adopting commercial LLMs like GPT-4 Enterprise). Evaluate ROI and adoption feasibility across departments. 2. Requirements Engineering for GenAI Projects Define and document both functional and non-functional requirements tailored to GenAI systems: Accuracy thresholds (e.g., hallucination rate under 5%) Ethical guardrails (e.g., PII redaction, bias mitigation) Latency SLAs (e.g., <2 seconds response time) Develop prompt engineering guidelines, testing protocols, and iteration workflows. 3. Stakeholder Collaboration & Communication Translate technical GenAI concepts into business-friendly language. Manage expectations on probabilistic outputs and incorporate validation workflows (e.g., human-in-the-loop review). Use storytelling and outcome-driven communication (e.g., “Automated claims triage reduced handling time by 40%.”) 4. Business Analysis & Process Modeling Create advanced user story maps for multi-agent workflows (AutoGen, CrewAI). Model current and future business processes using BPMN to reflect human-AI collaboration. 5. Tools & Technical Proficiency Hands-on experience with LangChain, LlamaIndex for LLM integration. Knowledge of vector databases, RAG architectures, LoRA-based fine-tuning. Experience using Azure OpenAI Studio, Google Vertex AI, Hugging Face. Data validation using SQL and Python; exposure to synthetic data generation tools (e.g., Gretel, Mostly AI). 6. Governance & Performance Monitoring Define KPIs for GenAI performance: Token cost per interaction User trust scores Automation rate and model drift tracking Support regulatory compliance with audit trails and documentation aligned with EU AI Act and other industry standards. Required Skills & Experience: 7–10 years of experience in business analysis or product ownership, with recent focus on Generative AI or applied ML. Strong understanding of the GenAI ecosystem and solution lifecycle from ideation to deployment. Experience working closely with data science, engineering, product, and compliance teams. Excellent communication and stakeholder management skills, with a focus on enterprise environments. Preferred Qualifications: Certification in Business Analysis (CBAP/PMI-PBA) or AI/ML (e.g., Coursera/Stanford/DeepLearning.ai) Familiarity with compliance and AI regulations (GDPR, EU AI Act). Experience in BFSI, healthcare, telecom, or other regulated industries.

Ready to shape the future of work? At Genpact, we don’t just adapt to change—we drive it. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory , our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI , our breakthrough solutions tackle companies’ most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that’s shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn , X , YouTube , and Facebook . Inviting applications for the role of Assistant Vice President– Generative AI – Systems Architect Role Overview: We are looking for an experienced Systems Architect with extensive experience in designing and scaling Generative AI systems to production. This role requires an individual with deep expertise in system architecture, software engineering, data platforms, and AI infrastructure, who can bridge the gap between data science, engineering and business. You will be responsible for end-to-end architecture of Gen.AI systems including model lifecycle management, inference, orchestration, pipelines Key Responsibilities: Architect and design end-to-end systems for production-grade Generative AI applications (e.g., LLM-based chatbots, copilots, content generation tools). Define and oversee system architecture covering data ingestion, model training/fine-tuning, inferencing, and deployment pipelines. Establish architectural tenets like modularity, scalability, reliability, observability, and maintainability. Collaborate with data scientists, ML engineers, platform engineers, and product managers to align architecture with business and AI goals. Choose and integrate foundation models (open source or proprietary) using APIs, model hubs, or fine-tuned versions. Evaluate and design solutions based on architecture patterns such as Retrieval-Augmented Generation (RAG), Agentic AI, Multi-modal AI, and Federated Learning. Design secure and compliant architecture for enterprise settings, including data governance, auditability, and access control. Lead system design reviews and define non-functional requirements (NFRs), including latency, availability, throughput, and cost. Work closely with MLOps teams to define the CI /CD processes for model and system updates. Contribute to the creation of reference architectures, design templates, and reusable components. Stay abreast of the latest advancements in GenAI , system design patterns, and AI platform tooling. Qualifications we seek in you! Minimum Qualifications Proven experience designing and implementing distributed systems, cloud-native architectures, and microservices. Deep understanding of Generative AI architectures, including LLMs, diffusion models, prompt engineering, and model fine-tuning. Strong experience with at least one cloud platform (AWS, GCP, or Azure) and services like SageMaker, Vertex AI, or Azure ML. Experience with Agentic AI systems or orchestrating multiple LLM agents. Experience with multimodal systems (e.g., combining image, text, video, and speech models). Knowledge of semantic search, vector databases, and retrieval techniques in RAG. Familiarity with Zero Trust architecture and advanced enterprise security practices. Experience in building developer platforms/toolkits for AI consumption. Contributions to open-source AI system frameworks or thought leadership in GenAI architecture. Hands-on experience with tools and frameworks like LangChain , Hugging Face, Ray, Kubeflow, MLflow , or Weaviate /FAISS. Knowledge of data pipelines, ETL/ELT, and data lakes/warehouses (e.g., Snowflake, BigQuery , Delta Lake). Solid grasp of DevOps and MLOps principles, including containerization (Docker), orchestration (Kubernetes), CI/CD pipelines, and model monitoring. Familiarity with system design tradeoffs in latency vs cost vs scale for GenAI workloads. Preferred Qualifications: Bachelor’s or Master’s degree in computer science, Engineering, or related field. Experience in software/system architecture, with experience in GenAI /AI/ML. Proven experience designing and implementing distributed systems, cloud-native architectures, and microservices. Strong interpersonal and communication skills; ability to collaborate and present to technical and executive stakeholders. Certifications in cloud platforms (e.g., AWS Certified Solutions Architect, Microsoft Certified: Azure Solutions Architect Expert, Google Cloud Professional Data Engineer). Familiarity with data governance and security best practices. Why join Genpact? Be a transformation leader – Work at the cutting edge of AI, automation, and digital innovation Make an impact – Drive change for global enterprises and solve business challenges that matter Accelerate your career – Get hands-on experience, mentorship, and continuous learning opportunities Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let’s build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color , religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training. Job Assistant Vice President Primary Location India-Hyderabad Schedule Full-time Education Level Master's / Equivalent Job Posting Jul 22, 2025, 12:35:15 AM Unposting Date Ongoing Master Skills List Digital Job Category Full Time

Date: Jul 22, 2025 Job Requisition Id: 61994 Location: Hyderabad, TG, IN YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation. At YASH, we’re a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth – bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future. We are looking forward to hire S/4 HANA FICO Professionals in the following areas : Our SAP Service Line is currently looking for industry-leading seasoned SAP FICO professionals with hands-on experience in S/4 HANA FI and CO. The shortlisted candidate should have the ability to analyze technical needs and work with the customers to develop project scope of work documents and Project Plans. S4 HANA-Financial accounting and Controlling General Ledger Accounting Accounts Payable and Accounts receivables APP, MBC (Multi bank connector) for Payment process. Good working knowledge on DMEE, Lock Box, EBS and banking related transaction FI-SD , FI-MM,FI-PP Integration should be able to do functional Testing and test script preparation Intercompany sales process and related taxes Taxes - Input Taxes , Output Taxes Good Working Knowledge on Vertex and Europe Taxation Good Working Knowledge in Fixed Assets, Investment Management Working knowledge on Project Systems , Integration of PS with Fixed assets Cost Center , Internal Order Working knowledge on Product Costing Working Knowledge on COPA Working knowledge on Fiori apps Able to work with technical team and hands on experience on FS preparation. Vendor invoice management process knowledge At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale. Our Hyperlearning workplace is grounded upon four principles Flexible work arrangements, Free spirit, and emotional positivity Agile self-determination, trust, transparency, and open collaboration All Support needed for the realization of business goals, Stable employment with a great atmosphere and ethical corporate culture

Location: Vertex Head Office Department: Operations & Value-added services Reports To: Siddanth Salian Employment Type: Full-time Job Summary: We are seeking a dynamic and entrepreneurial professional with a strong business development mindset to drive our internship, government incentives and apprenticeship training programs which are initiatives taken by Vertex Workspaces under the value added services offering services for itself and its tenant companies. The ideal candidate will be responsible for managing internship programs by assisting tenant companies with hiring mandates, coordinating with government bodies for IT policy incentives, and overseeing apprenticeship training programs to build a skilled talent pool. This role requires a proactive individual who can identify growth opportunities, foster partnerships, and contribute to the overall value proposition of Vertex Workspaces. Key Responsibilities: 1. Internship Program Management & Talent Pool Development Develop and maintain partnerships with colleges and universities for technical and management internship programs. Track intern performance, provide feedback, and assess potential for full-time hiring. Prepare reports on intern performance and recommend retention strategies. Ensure smooth onboarding, training, and engagement of interns. Maintain a pool of talent for Vertex and Tenant company hires 2. Talent Acquisition Assistance for Tenant Companies Act as a liaison between Vertex Workspaces and tenant companies to understand their hiring needs. Assist in sourcing, screening, and shortlisting candidates for tenant companies based on their mandates. Ensure tenant companies derive value from Vertex Workspaces by offering recruitment support as a value-added service. Maintain a database of potential candidates for quick placements. 3. Government Incentive Coordination (Karnataka IT Policy) Stay updated on Karnataka Government’s IT/ITeS policies and incentive schemes. Coordinate with government officials to facilitate benefits for Vertex Workspace and tenant companies under Vertex Workspaces. Guide tenant companies in availing incentives, subsidies, and compliance requirements. Prepare necessary documentation and ensure timely submissions for approvals. 4. Apprenticeship Training Partner with companies to enroll their allied staff (housekeeping, electricians, AC mechanics, etc.) in apprenticeship programs. Manage the government apprenticeship portal, ensuring compliance and certification issuance. Build and maintain a database of trained allied workers for future hiring needs. Identify business development opportunities by promoting Vertex Workspaces as a training and skilling hub. 5. Business Development & Growth Initiatives Develop strategies to enhance Vertex Workspaces’ value proposition for tenants through HR and training services. Identify new partnership opportunities with educational institutions, government bodies, and industry associations. Contribute to revenue generation by offering talent solutions and training programs. Stay updated on industry trends and propose innovative HR and skilling initiatives. Qualifications & Skills: Education: MBA in HR/Business Administration or related field. Experience: 5-8 years in HR, Talent Acquisition, Government Liaison, or Business Development. Skills Required: Strong understanding of recruitment processes and internship management. Knowledge of Karnataka IT policies and government incentive schemes. Experience in managing apprenticeship programs and government portals. Excellent communication, negotiation, and stakeholder management skills. Entrepreneurial mindset with a focus on business growth. Proficiency in MS Office and HR databases. Key Competencies: Strategic Thinking – Ability to align HR initiatives with business goals. Networking & Relationship Building – Strong liaison skills with colleges, companies, and government bodies. Analytical Skills – Ability to track performance metrics and generate reports. Proactive & Self-Motivated – Takes ownership of projects and drives results. Problem-Solving – Resolves challenges in recruitment, compliance, and training. Key Performance Indicators: 1. Internship Program Management & Talent Pool Development & Talent Acquisition Assistance for Tenant Companies No. of university/college partnerships established % of interns converted to full-time hires (conversion rate) Intern satisfaction score (survey feedback) Time-to-fill intern positions (days) No. of candidates in the talent pool maintained 2. Government Incentive Coordination (Karnataka IT Policy) No. of tenant companies assisted with incentive applications % of approved incentive applications Average time taken for incentive processing (days) No. of compliance-related trainings conducted for tenants Value (Rs.) of incentives secured for Vertex & tenants 3. Apprenticeship Training No. of allied staff enrolled in apprenticeship programs % of apprentices certified successfully No. of companies engaged in apprenticeship partnerships No. of trained workers in the database for future hiring 4. Business Development & Growth Initiatives No. of new partnerships (educational institutions/govt bodies) Revenue generated from HR/training services % increase in tenant retention due to value-added services Additional Overall KPIs: Cost-per-hire reduction for tenant companies Training program completion rate (%) Why Join Us? Opportunity to work in a fast-growing organization with exposure to HR, business development, and government initiatives. Play a key role in shaping talent strategies and adding value to tenant companies. Entrepreneurial work culture with scope for innovation and career growth. Vertex Workspaces is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Job Types: Full-time, Permanent Pay: ₹25,000.00 - ₹40,000.00 per month Benefits: Health insurance Provident Fund Schedule: Day shift Supplemental Pay: Yearly bonus

Job Description Experience in SonarQube, CICD, Tekton, terraform, GCS, GCP Looker, Google cloud build, cloud run, Vertex AI, Airflow, TensorFlow, etc., Experience in Train, Build and Deploy ML, DL Models Experience in HuggingFace, Chainlit, React Ability to understand technical, functional, non-functional, security aspects of business requirements and delivering them end-to-end. Ability to adapt quickly with opensource products & tools to integrate with ML Platforms Building and deploying Models (Scikit learn, DataRobots, TensorFlow PyTorch, etc.) Developing and deploying On-Prem & Cloud environments Kubernetes, Tekton, OpenShift, Terraform, Vertex AI Experience in LLM models like PaLM, GPT4, Mistral (open-source models), Work through the complete lifecycle of Gen AI model development, from training and testing to deployment and performance monitoring. Developing and maintaining AI pipelines with multimodalities like text, image, audio etc. Have implemented in real-world Chat bots or conversational agents at scale handling different data sources. Experience in developing Image generation/translation tools using any of the latent diffusion models like stable diffusion, Instruct pix2pix. Expertise in handling large scale structured and unstructured data. Efficiently handled large-scale generative AI datasets and outputs. Familiarity in the use of Docker tools, pipenv/conda/poetry env Comfort level in following Python project management best practices (use of cxzsetup.py, logging, pytests, relative module imports,sphinx docs,etc.,) Familiarity in use of Github (clone, fetch, pull/push,raising issues and PR, etc.,) High familiarity in the use of DL theory/practices in NLP applications Comfort level to code in Huggingface, LangChain, Chainlit, Tensorflow and/or Pytorch, Scikit-learn, Numpy and Pandas Comfort level to use two/more of open source NLP modules like SpaCy, TorchText, fastai.text, farm-haystack, and others Knowledge in fundamental text data processing (like use of regex, token/word analysis, spelling correction/noise reduction in text, segmenting noisy unfamiliar sentences/phrases at right places, deriving insights from clustering, etc.,) Have implemented in real-world BERT/or other transformer fine-tuned models (Seq classification, NER or QA) from data preparation, model creation and inference till deployment Use of GCP services like BigQuery, Cloud function, Cloud run, Cloud Build, VertexAI, Good working knowledge on other open source packages to benchmark and derive summary Experience in using GPU/CPU of cloud and on-prem infrastructures Skillset to leverage cloud platform for Data Engineering, Big Data and ML needs. Use of Dockers (experience in experimental docker features, docker-compose, etc.,) Familiarity with orchestration tools such as airflow, Kubeflow Experience in CI/CD, infrastructure as code tools like terraform etc. Kubernetes or any other containerization tool with experience in Helm, Argoworkflow, etc., Ability to develop APIs with compliance, ethical, secure and safe AI tools. Good UI skills to visualize and build better applications using Gradio, Dash, Streamlit, React, Django, etc., Deeper understanding of javascript, css, angular, html, etc., is a plus. Responsibilities Design NLP/LLM/GenAI applications/products by following robust coding practices, Explore SoTA models/techniques so that they can be applied for automotive industry usecases Conduct ML experiments to train/infer models; if need be, build models that abide by memory & latency restrictions, Deploy REST APIs or a minimalistic UI for NLP applications using Docker and Kubernetes tools Showcase NLP/LLM/GenAI applications in the best way possible to users through web frameworks (Dash, Plotly, Streamlit, etc.,) Converge multibots into super apps using LLMs with multimodalities Develop agentic workflow using Autogen, Agentbuilder, langgraph Build modular AI/ML products that could be consumed at scale. Qualifications Education : Bachelor’s or Master’s Degree in Computer Science, Engineering, Maths or Science Performed any modern NLP/LLM courses/open competitions is also welcomed.

About MostEdge MostEdge empowers retailers with smart, trusted, and sustainable solutions to run their stores more efficiently. Through our Inventory Management Service, powered by the StockUPC app , we provide accurate, real-time insights that help stores track inventory, prevent shrink, and make smarter buying decisions. Our mission is to deliver trusted, profitable experiences—empowering retailers, partners and employees to accelerate commerce in a sustainable manner. Job Summary: We are hiring an experienced AI Engineer / ML Specialist with deep expertise in Large Language Models (LLMs) , who can fine-tune, customize, and integrate state-of-the-art models like OpenAI GPT, Claude, LLaMA, Mistral, and Gemini into real-world business applications . The ideal candidate should have hands-on experience with foundation model customization , prompt engineering , retrieval-augmented generation (RAG) , and deployment of AI assistants using public cloud AI platforms like Azure OpenAI, Amazon Bedrock, Google Vertex AI , or Anthropic’s Claude . Key Responsibilities: LLM Customization & Fine-Tuning Fine-tune popular open-source LLMs (e.g., LLaMA, Mistral, Falcon, Mixtral) using business/domain-specific data. Customize foundation models via instruction tuning , parameter-efficient fine-tuning (LoRA, QLoRA, PEFT) , or prompt tuning . Evaluate and optimize the performance, factual accuracy, and tone of LLM responses. AI Assistant Development Build and integrate AI assistants/chatbots for internal tools or customer-facing applications. Design and implement Retrieval-Augmented Generation (RAG) pipelines using tools like LangChain , LlamaIndex , Haystack , or OpenAI Assistants API . Use embedding models , vector databases (e.g., Pinecone, FAISS, Weaviate, ChromaDB ), and cloud AI services. Must have experience of finetuning, and maintaining microservices or LLM driven databases. Cloud Integration Deploy and manage LLM-based solutions on AWS Bedrock , Azure OpenAI , Google Vertex AI , Anthropic Claude , or OpenAI API . Optimize API usage, performance, latency, and cost. Secure integrations with identity/auth systems (OAuth2, API keys) and logging/monitoring. Evaluation, Guardrails & Compliance Implement guardrails , content moderation , and RLHF techniques to ensure safe and useful outputs. Benchmark models using human evaluation and standard metrics (e.g., BLEU, ROUGE, perplexity). Ensure compliance with privacy, IP, and data governance requirements. Collaboration & Documentation Work closely with product, engineering, and data teams to scope and build AI-based solutions. Document custom model behaviors, API usage patterns, prompts, and datasets. Stay up-to-date with the latest LLM research and tooling advancements. Required Skills & Qualifications: Bachelor’s or Master’s in Computer Science, AI/ML, Data Science, or related fields. 3–6+ years of experience in AI/ML, with a focus on LLMs, NLP, and GenAI systems . Strong Python programming skills and experience with Hugging Face Transformers, LangChain, LlamaIndex . Hands-on with LLM APIs from OpenAI, Azure, AWS Bedrock, Google Vertex AI, Claude, Cohere, etc. Knowledge of PEFT techniques like LoRA, QLoRA, Prompt Tuning, Adapters . Familiarity with vector databases and document embedding pipelines. Experience deploying LLM-based apps using FastAPI, Flask, Docker, and cloud services . Preferred Skills: Experience with open-source LLMs : Mistral, LLaMA, GPT-J, Falcon, Vicuna, etc. Knowledge of AutoGPT, CrewAI, Agentic workflows , or multi-agent LLM orchestration . Experience with multi-turn conversation modeling , dialogue state tracking. Understanding of model quantization , distillation , or fine-tuning in low-resource environments. Familiarity with ethical AI practices , hallucination mitigation, and user alignment. Tools & Technologies: LLM Frameworks - Hugging Face, Transformers, PEFT, LangChain, LlamaIndex, Haystack LLMs & APIs - OpenAI (GPT-4, GPT-3.5), Claude, Mistral, LLaMA, Cohere, Gemini, Azure OpenAI Vector Databases - FAISS, Pinecone, Weaviate, ChromaDB Serving & DevOps - Docker, FastAPI, Flask, GitHub Actions, Kubernetes Deployment Platforms - AWS Bedrock, Azure ML, GCP Vertex AI, Lambda, Streamlit Monitoring - Prometheus, MLflow, Langfuse, Weights & Biases Benefits: Competitive salary with performance incentives. Work with cutting-edge GenAI and LLM technologies. Build real-world products using state-of-the-art AI research. Job Types: Full-time, Permanent Pay: From ₹400,000.00 per year Benefits: Health insurance Life insurance Paid sick time Paid time off Provident Fund Schedule: Evening shift Monday to Friday Morning shift Night shift Rotational shift US shift Weekend availability Supplemental Pay: Performance bonus Quarterly bonus Yearly bonus Work Location: In person Application Deadline: 25/07/2025 Expected Start Date: 01/08/2025

Job Type: Full Time Job Location: Ahmedabad We are looking for a dynamic AI & Automation Strategist to drive the implementation of intelligent, automation-first solutions across internal departments. This role is ideal for someone who thrives on solving problems through technology and has a systems-thinking approach to optimize workflows. You’ll work cross-functionally to embed AI tools and automation into everyday operations, transforming the way our teams work and deliver value. Key Responsibilities Identify opportunities for AI and automation across departments such as Sales, Project Management, Development, QA, SEO, Design, and HR. Design and manage efficient workflows using n8n, Zapier, or other automation tools to streamline internal processes. Coordinate with team leads to evaluate inefficiencies and recommend AI-powered solutions. Integrate AI into QA and development tasks like documentation, testing, and repetitive coding workflows. Collaborate with the Sales team to automate CRM updates, lead nurturing flows, email campaigns, and reporting. Develop internal tools, scripts, or dashboards that support day-to-day team functions. Guide teams on how to effectively use AI tools, craft prompts, and ensure ethical usage practices. Pilot new tools, evaluate results, and continuously refine implementation strategies. Provide technical input and support for AI-based internal projects. Desired Skills Minimum 6 months of hands-on experience in AI or automation-related projects. Familiarity with low-code/no-code platforms (n8n, Zapier, Make, or similar). Working knowledge of AI APIs/tools such as OpenAI, Hugging Face, or Google Vertex AI. Basic proficiency in JavaScript or Python for task automation and API integration. Understanding of frontend/backend workflows (HTML, CSS, PHP) and QA cycles. Ability to build simple tools and integrations to enhance team productivity. Strong analytical and problem-solving skills with attention to documentation. Effective communicator with the ability to explain technical ideas to non-technical users. Nice to Have Experience building internal tools or automations to improve team workflows. Exposure to concepts like vector databases, LangChain, or agent-based automation. Previous involvement in AI/automation training or workshops. Awareness of AI ethics and best practices in data usage. Familiarity with automation in development pipelines or DevOps environments.

Ready to shape the future of work? At Genpact, we don’t just adapt to change—we drive it. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory , our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI , our breakthrough solutions tackle companies’ most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that’s shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn , X , YouTube , and Facebook . Inviting applications for the role of Assistant Vice President, Record to Report In this role, the incumbent requires excellent organizational and analytical skills to handle the transaction flow and provide direction and coordinate accounting & reporting functions to ensure timely closure of end period. The incumbent will be responsible for daily supervision and efficiency of the team. Manage and provide overall direction and guidance to deliver on operational goals within assigned area and ensure timely and accurate completion of work with excellent stakeholder management skills. The incumbent should have managed large sized RTR Teams (Team of at least 25+) for a meaningful period and possess excellent domain & hands on expertise in Record to Report (Sales Audit, Inventory Accounting, Fixed Assets, US Indirect Taxes and Lease Admin) Responsibilities Ensure all activities are performed according to agreed close schedules and that accounting policies are following US GAAP and stated company norms Work closely with other Accounts / Tax Departments / Retail Stores to understand business transactions and ensure they are analyzed , processed, accounted and reconciled appropriately and accurately Understanding Lease Agreements and ensuring all payments to Leasor / Landlord are done accurately and in timely manner Ensure process governance including reporting and analysis to key stakeholders –communicate on a regular basis to discuss operational issues, key metrics, CTQ’s (internally &/or externally) Review and analyze the team’s output for appropriate accounting treatment, completeness and accuracy related to general accounting Understand the SOX Regulations and always ensure adherence by the teams Act as point of escalation to resolve accounting and reporting related issues in a timely manner and ensure all queries are dealt with accurately and efficiently Evaluate and recommend improvements to systems or other processes to maximize the use of information system resources to develop comprehensive reporting models Provide day-to-day management of the cross-functional team in assigning and monitoring deliverables, and motivating and leading the teams to improve performance and work product Develop the team through effective performance management and monthly appraisals Qualifications we seek in you! Minimum Qualifications / Skills Accounting qualification (ACA, CIMA, CPA, CMA, CHAE or equivalent) or MBA Finance Demonstrate detailed knowledge of accounting principles, systems and procedures Very good Communication (both written and verbal skills) and Presentation skills Preferred Qualifications/ Skills Experience in ERP (preferable Oracle) & Legacy systems (JDA, AS 400 etc) Experience of handling RTR / Tax Tools ( eg. Vertex, Alteryx, xStore etc.) Why join Genpact? Be a transformation leader – Work at the cutting edge of AI, automation, and digital innovation Make an impact – Drive change for global enterprises and solve business challenges that matter Accelerate your career – Get hands-on experience, mentorship, and continuous learning opportunities Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let’s build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color , religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training. Job Assistant Vice President Primary Location India-Noida Education Level Bachelor's / Graduation / Equivalent Job Posting Jul 21, 2025, 10:59:40 PM Unposting Date Ongoing Master Skills List Operations Job Category Full Time

Strategic Alliances | Director Alliance-builder-in-chief who converts deep tech partnerships into $ scale revenue, market share, and AI-powered client impact.' We designed the Job Description for this role like we design our solutions: Smart, Visual & Outcome-focused: Click here for Searce happier JD. What are we looking for real solver? Solver? Absolutely. But not the usual kind. We're searching for the architects of the audacious & the pioneers of the possible. If you're the type to dismantle assumptions, re-engineer ‘best practices,’ and build solutions that make the future possible NOW, then you're speaking our language. Improver. Solver. Futurist. Great sense of humor. ‘Possible. It is.’ Mindset. Compassionate collaborator. Bold experimenter. Tireless iterator. Natural creativity that doesn’t just challenge the norm, but solves to design what’s better. Thinks in systems. Solves at scale. This Isn’t for Everyone. But if you’re the kind who questions why things are done a certain way—and then identifies 3 better ways to do it — we’d love to chat with you. _____________________________________________ Your Mission: The Role solving for better. Orchestrate alliance-led growth with a founder’s mindset. You’re the DRI for Google Cloud revenue in India - strategizing, selling, and co-engineering solutions that embed Vertex AI, BigQuery, and Gemini into our futurify.ai & evlos™ frameworks. 60 % seller, 40 % technologist: forecast, chase, and close a $20 M+ pipeline while co-designing AI use-cases that deliver ≥ 30 % ROI. Direct line of sight to the VP of Alliances and the CEO; success is measured in pipeline velocity, win rate, and partner-driven market share. At Searce, leadership is an action, not a title - you code a pilot on Monday, present a QBR on Tuesday, and ink a seven-figure deal by Friday. _____________________________________________ Your Responsibilities what you will wake up to solve. Set the North Star – Strategy & GTM Craft the 3-year Google Cloud alliance roadmap tied to ambitious ARR targets. Publish “Futurify with Google Cloud” plays for India. Engineer the Value – Co-Innovation & Delivery Launch a lighthouse Vertex AI solution within 90 days; embed agentic loops into client workflows. Stand up enablement programs - certifications, playbooks, ROI dashboards—that scale the motion. Scale the Ecosystem – Relationships & Governance Run QBRs, secure MDF, and manage Partner Advantage tiers & competencies. Forge C-level trust across Google Cloud field teams; influence product roadmaps and Marketplace bundles. Measure & Iterate – Performance & Ethics Monitor revenue, pipeline health, NPS > 80, certification rates in real-time Looker dashboards. Ensure every joint offer meets zero-trust, data sovereignty, and ethical-AI standards. _____________________________________________ Welcome to Searce The ‘process-first’, AI-native modern tech consultancy that's rewriting the rules. We don’t do traditional. As an engineering-led consultancy, we are dedicated to relentlessly improving the real business outcomes. Our solvers co-innovate with clients to futurify operations and make processes smarter, faster & better. We build alongside our clients. Not for the vanity metrics. But for the transformation to embed lasting competitive advantage for our clients. The result? Modern business reinvention, built on math, tech, and clarity of purpose. _____________________________________________ The DNA of a ‘Searcian’ superpowers we value. The ‘happier’ core happier-at-heart: h umble, a daptable, p ositive, p assionate, i nnovative, e xcellence-minded, r esponsible. happier-in-action: Not just a poster on the wall; It's how we make decisions, treat each other, show up for clients & hire or promote people. Thinks like a founder. Acts like an owner. Always in Beta: Relentless curiosity. Openness to learn, un-learn, and re-learn. Real Optimist: Views all setbacks as opportunities. Believes in truth over comfort. Ideas over titles. Learning over knowing. Embraces chaos with calm. Evolves faster than the market. Functional Skills Alliance P&L Ownership: Runs the partner business like a GM - forecasts, de-risks, and delivers. Commercial & Negotiation Acumen: Closes complex multi-year cloud/AI deals; optimizes margin and mutual value. Technical Fluency: Hands-on with Google Cloud stacks and agentic-AI patterns; can whiteboard architecture on demand. Cross-Functional Catalyst: Orchestrates sales, consulting, delivery, and marketing into one seamless GTM motion. Storytelling & Influence: Converts deep tech into board-level narratives that unlock budget. First-Principles Strategist: Spots whitespace, designs new plays, and pivots fast with data. Operational Rigor: Builds repeatable governance, dashboards, and enablement programs that scale. Tech Superpowers CSP Ecosystem Native – Navigates Google Cloud Partner Advantage, Marketplace, and co-sell motions blindfolded. AI-Native Architect Liaison – Translates Vertex AI & Gemini features into monetisable agentic solutions. Distributed-Data Fluent - Designs BigQuery pipelines and Looker models that surface real-time value. Security & Compliance Guardian – Embeds sovereignty and zero-trust patterns from day one. DevRel-Friendly Evangelist – Publishes demos and reference architectures that drive partner adoption. Multi-Cloud Pragmatist – Fluent in AWS/Azure to position Searce as client-centric, not vendor-locked. Data-Driven Deal-Maker – Uses telemetry to steer pipeline health and ROI. Open-Source Contributor – Shares code, wins mindshare, accelerates co-innovation. Experience & Relevance 12+ years in cloud/AI alliances or partner GTM; 6+ years leading Google Cloud motions in India. Closed $20 Mn+ annual revenue via co-sell, Marketplace, or OEM routes; scaled 0→1→10 alliances. Consulting background integrating Vertex AI, BigQuery, Looker, GKE for enterprise AI transformations. Advanced degree (MBA or MS in CS/Engineering) and Google Cloud certs. Proven record of disrupting MBB incumbents with tech-execution speed. Bonus Points (you will thrive if you have) "Named inventor on AI or cloud integration patents. Google Cloud Partner Award alumnus or Dev Champion speaker. Maintainer of a widely used GCP/AI open-source repo. Battle-tested: rescued at-risk alliances and turned them into $-wins. Founder energy: built a startup or new region from scratch; thrives on ambiguity." _____________________________________________ Join the ‘real solvers’ ready to futurify? If you are excited by the possibilities of what an AI-native engineering-led, modern tech consultancy can do to futurify businesses, apply here and experience the ‘ Art of the possible ’. Don’t Just Send a Resume. Send a Statement.

Professional Skill:Business Analysis,Analytical Thinking, Problem Solving, Decision Making, Leadership, Managerial, Time Management, Domain Knowledge. Work simplification - methods that maximize output while minimizing expenditure and cost. Required Candidate profile Analytics with Data - interprets data and turns it into information which can offer ways to improve a business. Communication - Good verbal communication and interpersonal skills are essential

We are looking for a seasoned Senior MLOps Engineer to join our Data Science team. The ideal candidate will have a strong background in Python development, machine learning operations, and cloud technologies. You will be responsible for operationalizing ML/DL models and managing the end-to-end machine learning lifecycle from model development to deployment and monitoring while ensuring high-quality and scalable solutions. Mandatory Skills: Python Programming: Expert in OOPs concepts and testing frameworks (e.g., PyTest) Strong experience with ML/DL libraries (e.g., Scikit-learn, TensorFlow, PyTorch, Prophet, NumPy, Pandas) MLOps & DevOps: Proven experience in executing data science projects with MLOps implementation CI/CD pipeline design and implementation Docker (Mandatory) Experience with ML lifecycle tracking tools such as MLflow, Weights & Biases (W&B), or cloud-based ML monitoring tools Experience in version control (Git) and infrastructure-as-code (Terraform or CloudFormation) Familiarity with code linting, test coverage, and quality tools such as SonarQube Cloud & Orchestration: Hands-on experience with AWS SageMaker or GCP Vertex AI Proficiency with orchestration tools like Apache Airflow or Astronomer Strong understanding of cloud technologies (AWS or GCP) Software Engineering: Experience in building backend APIs using Flask, FastAPI, or Django Familiarity with distributed systems for model training and inference Experience working with Feature Stores Deep understanding of the ML/DL lifecycle from ideation, experimentation, deployment to model sunsetting Understanding of software development best practices, including automated testing and CI/CD integration Agile Practices: Proficient in working within a Scrum/Agile environment using tools like JIRA Cross-Functional Collaboration: Ability to collaborate effectively with product managers, domain experts, and business stakeholders to align ML initiatives with business goals Preferred Skills: Experience building ML solutions for: (Any One) Sales Forecasting Marketing Mix Modelling Demand Forecasting Certified in machine learning or cloud platforms (e.g., AWS or GCP) Strong communication and documentation skills

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

Total Experience: 4 to 12 years Location: NCR/Mumbai/Bangalore Responsibilities: Design and develop agentic automation workflows using frameworks such as LangGraph, AutoGen, CrewAI, and other multi-agent systems (e.g., MCP, A2A) to automate complex business processes. Build and optimize Retrieval-Augmented Generation (RAG) pipelines for enhanced contextual understanding and accurate response generation in automation tasks. Integrate open-source LLMs (e.g. LLaMA) and closed-source LLMs (e.g., OpenAI, Gemini, Vertex AI) to power agentic systems and generative AI applications. Develop robust Python-based solutions using libraries like LangChain, Transformers, Pandas, and PyTorch for automation and AI model development. Implement and manage CI/CD pipelines, Git workflows, and software development best practices to ensure seamless deployment of automation solutions. Work with structured and unstructured data, applying prompt engineering and fine-tuning techniques to enhance LLM performance for specific use cases. Query and manage databases (e.g., SQL, NoSQL) for data extraction, transformation, and integration into automation workflows. Collaborate with stakeholders to translate technical solutions into business value, delivering clear presentations and documentation. Stay updated on advancements in agentic automation, generative AI, and LLM technologies to drive innovation and maintain competitive edge. Ensure scalability, security, and performance of deployed automation solutions in production environments. Experience: 4+ years of hands-on experience in AI/ML, generative AI, or automation development. Proven expertise in agentic frameworks like LangGraph, AutoGen, CrewAI, and multi-agent systems. Experience building and deploying RAG-based solutions for automation or knowledge-intensive applications. Hands-on experience with open-source LLMs (Hugging Face) and closed-source LLMs (OpenAI, Gemini, Vertex AI). Technical Skills: Advanced proficiency in Python and relevant libraries (LangChain, Transformers, Pandas, PyTorch, Scikit-learn). Strong SQL skills for querying and managing databases (e.g., PostgreSQL, MongoDB). Familiarity with CI/CD tools (e.g., Jenkins, GitHub Actions), Git workflows, and containerization (e.g., Docker, Kubernetes). Experience with Linux (Ubuntu) and cloud platforms (AWS, Azure, Google Cloud) for deploying automation solutions. Knowledge of automation tools (e.g., UiPath, Automation Anywhere) and workflow orchestration platforms. Soft Skills: Exceptional communication skills to articulate technical concepts to non-technical stakeholders. Strong problem-solving and analytical skills to address complex automation challenges. Ability to work collaboratively in a fast-paced, client-facing environment. Proactive mindset with a passion for adopting emerging technologies. Preferred Qualifications Experience with multi-agent coordination protocols (MCP) and agent-to-agent (A2A) communication systems. Familiarity with advanced generative AI techniques, such as prompt chaining, tool-augmented LLMs, and model distillation. Exposure to enterprise-grade automation platforms or intelligent process automation (IPA) solutions. Contributions to open-source AI/automation projects or publications in relevant domains. Certification in AI, cloud platforms, or automation technologies (e.g., AWS Certified AI Practitioner, RPA Developer).

Career Area: Finance Job Description: Your Work Shapes the World at Caterpillar Inc. When you join Caterpillar, you're joining a global team who cares not just about the work we do – but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here – we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it. Your Impact Shapes the World at Caterpillar Inc When you join Caterpillar, you're joining a global team who cares not just about the work we do – but also about each other. We are the makers, problem solvers and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here – we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it. Job Summary We are seeking a skilled Accountant to join our GLBL BusSvcs Tax-Global Finance Services Division. The incumbent would drive the Sales & use tax/GST/VAT compliance and reporting function combining tax knowledge with necessary automation, to streamline global indirect tax compliances We are looking to add an experienced and highly skilled tax accountant within the Indirect Tax CoE (Centre of Excellence) based in Bangalore, India. This role is responsible for managing sales and use tax (USA), EMEA/APAC VAT compliance processes, leveraging technology platforms such as Vertex/Avalara to ensure accurate filings, data integrity, and payment workflows. The Accountant will bring deep multi-jurisdictional tax knowledge, audit compliance expertise, and a proactive approach to process improvement and automation. The indirect tax CoE will be responsible for the periodical indirect tax compliance for Global regions. This team will be responsible to extract and interpret the tax data from our systems to enable informed business decisions, perform return filing and reconciling with the books of accounts on the Tax positions. Our focus is on improving our tax processes by using technology, which increases our responsibility for monitoring the completeness and accuracy in our indirect tax systems, striving for full tax automation, and driving the vision for improved and efficient tax compliance. Our team consists of a diverse group of individuals with backgrounds across consulting, tax, accounting, and analytics. You will need to have strong project management skills as you'll drive cross-border projects (APAC, EMEA, USA) and develop best practice in processes on a Global level. You'll be a strong team player who is able to work with people across the organization. The preference for this role is to be based out of Bangalore, Whitefield Office What You Will Do Extract and validate information for filing SUT/GST/VAT returns. Analyse and validate compliance data, flagging issues and collaborating with teams to resolve them efficiently. Maintain and develop relationships with internal and external stakeholders regarding compliance-related matters. Ensure adherence to indirect tax processes and update procedures as needed to reflect evolving business requirements. Identify and implement opportunities for improving indirect tax compliance/reporting processes. Prepare and review month-end reconciliations and journal entries, maintaining comprehensive audit documentation. Leverage technology to streamline and automate tax calculations, ensuring compliance and accuracy. Participate in special projects and ad-hoc tasks as required by the indirect tax team. What You Will Have.: Qualified CA with 5+years or semi qualified with 2-4 years of VAT/GST experience Big 4 experience preferred. Qualification - Accounting Degree (CA, ACCA, CPA, CIMA, MBA, preferred) Experience (in years) - 5+ years of relevant indirect tax experience Experience in Big 4 (Indirect Tax domain) / Tax CoE Setup or fast-paced industry Degree in finance, accounting, tax, or related field. Core experience with US Sales & Use Tax regulations/ EMEA & APAC VAT Working knowledge of Avalara, Vertex, GVRT, is preferred Robust knowledge of MS Excel and/or logic-based tools (advanced Excel models, Tableau/Alteryx). Ability to analyse large data volumes to identify key insights. Strong English written and verbal communication skills. Self-driven with a critical and positive 'can-do' attitude. Comfortable collaborating with various subject matter experts. Ability to thrive in a fast-paced, deadline-driven environment with minimal supervision. The position requires the candidate to work a 5-a day -week schedule in the office. The CoE works on a general shift -candidates should be flexible to take transition/training calls in the evenings to accommodate trainers from American shift. Skills Desired: Accuracy and Attention to Detail : Understanding the necessity and value of accuracy; ability to complete tasks with high levels of precision. Level Working Knowledge: Accurately gauges the impact and cost of errors, omissions, and oversights. Utilizes specific approaches and tools for checking and cross-checking outputs. Processes limited amounts of detailed information with good accuracy. Learns from mistakes and applies lessons learned. Develops and uses checklists to ensure that information goes out error-free. Analytical Thinking : Knowledge of techniques and tools that promote effective analysis; ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems. Level Working Knowledge: Approaches a situation or problem by defining the problem or issue and determining its significance. Makes a systematic comparison of two or more alternative solutions. Uses flow charts, Pareto charts, fish diagrams, etc. to disclose meaningful data patterns. Identifies the major forces, events and people impacting and impacted by the situation at hand. Uses logic and intuition to make inferences about the meaning of the data and arrive at conclusions. Effective Communications : Understanding of effective communication concepts, tools and techniques; ability to effectively transmit, receive, and accurately interpret ideas, information, and needs through the application of appropriate communication behaviors. Level Working Knowledge: Delivers helpful feedback that focuses on behaviors without offending the recipient. Listens to feedback without defensiveness and uses it for own communication effectiveness. Makes oral presentations and writes reports needed for own work. Avoids technical jargon when inappropriate. Looks for and considers non-verbal cues from individuals and groups. Managing Multiple Priorities : Knowledge of effective self-management practices; ability to manage multiple concurrent objectives, projects, groups, or activities, making effective judgments as to prioritizing and time allocation. Level Working Knowledge: Recognizes changing demands and priorities; validates changes with management. Obtains information about how current assignments contribute to organizational goals. Completes current work according to assigned priorities. Responds to day-to-day operational priorities while still making progress on project work. Performs at least 2-3 concurrent activities without reducing productivity. Problem Solving: Knowledge of approaches, tools, techniques for recognizing, anticipating, and resolving organizational, operational or process problems; ability to apply knowledge of problem solving appropriately to diverse situations. Level Working Knowledge: Identifies and documents specific problems and resolution alternatives. Examines a specific problem and understands the perspective of each involved stakeholder. Develops alternative techniques for assessing accuracy and relevance of information. Helps to analyze risks and benefits of alternative approaches and obtain decision on resolution. Uses fact-finding techniques and diagnostic tools to identify problems. Accounting: Knowledge of accounting methods, processes, and tools; ability to maintain and prepare financial statements and reports using accounting methods and processes. Level Working Knowledge: Utilizes cost monitoring practices, techniques and considerations. Works with financial transactions and related documentation within the organization. Participates in accounting practices of classifying and recording financial data. Maintains existing charts of accounts. Follows regulations for entering and reporting the financial content in major accounting systems. Financial Analysis : Knowledge of tools and approaches of financial analysis; ability to read, interpret and draw accurate conclusions from financial and numerical material. Level Working Knowledge: Applies principles used to evaluate the economics of investment decisions. Interprets major types of financial statements issued by the organization. Utilizes basic qualitative and quantitative tools and techniques with proficiency. Works with a specific financial analysis tool set. Implements valid financial analysis aligned with key criteria. Financial Reporting: Knowledge of processes, methods, and tools of financial reporting; ability to create and maintain accurate and thorough financial reports. Level Working Knowledge: Follows organizational practices and guidelines for product profitability reporting. Analyzes errors or inaccuracies in financial reports. Uses basic tools to create simple financial reports. Monitors compliance with organizational standards for financial report writing. Implements organizational methods and procedures for financial report writing. What You Will Get: Work Life Harmony Earned and medical leave. Relocation assistance Holistic Development Personal and professional development through Caterpillar ‘s employee resource groups across the globe Career developments opportunities with global prospects Health and Wellness Medical coverage -Medical, life and personal accident coverage Employee mental wellness assistance program Financial Wellness Employee investment plan Pay for performance -Annual incentive Bonus plan. Additional Information: Caterpillar is not currently hiring individuals for this position who now or in the future require sponsorship for employment visa status; however, as a global company, Caterpillar offers many job opportunities outside of the U.S. which can be found through our employment website at www.caterpillar.com/careers Caterpillar is an Equal Opportunity Employer (EEO) EEO/AA Employer. All qualified individuals, including minorities, females, veterans and individuals with disabilities - are encouraged to apply. Posting Dates: July 22, 2025 - August 4, 2025 Caterpillar is an Equal Opportunity Employer. Qualified applicants of any age are encouraged to apply Not ready to apply? Join our Talent Community.

Job Title: AI/ML Engineer Location: 100% Remote Job Type: Full-Time About the Role: We are seeking a highly skilled and motivated AI/ML Engineer to design, develop, and deploy cutting-edge ML models and data-driven solutions. You will work closely with data scientists, software engineers, and product teams to bring AI-powered products to life and scale them effectively. Key Responsibilities: Design, build, and optimize machine learning models for classification, regression, recommendation, and NLP tasks. Collaborate with data scientists to transform prototypes into scalable, production-ready models. Deploy, monitor, and maintain ML pipelines in production environments. Perform data preprocessing, feature engineering, and selection from structured and unstructured data. Implement model performance evaluation metrics and improve accuracy through iterative tuning. Work with cloud platforms (AWS, Azure, GCP) and MLOps tools to manage model lifecycle. Maintain clear documentation and collaborate cross-functionally across teams. Stay updated with the latest ML/AI research and technologies to continuously enhance our solutions. Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field. 5+ years of experience in ML model development and deployment. Proficient in Python and libraries such as scikit-learn, TensorFlow, PyTorch, pandas, NumPy, etc. Strong understanding of machine learning algorithms, statistical modeling, and data analysis. Experience with building and maintaining ML pipelines using tools like MLflow, Kubeflow, or Airflow. Familiarity with containerization (Docker), version control (Git), and CI/CD for ML models. Experience with cloud services such as AWS SageMaker, GCP Vertex AI, or Azure ML.

At EY, the focus is on shaping your future with confidence. The organization is committed to helping you succeed in a globally connected powerhouse of diverse teams and providing you with opportunities to take your career to new heights. Joining EY means contributing to building a better working world. As a Manager in Sales and Use Tax, you will be a part of the Indirect Tax function which manages Global accounts across 8 GDS locations. The team operates in over 30 countries and is expanding to over 50 countries. Working with a culturally diverse and inclusive workforce, you will play a key role in driving high performance and delivering exceptional client service. Your key responsibilities will include identifying and documenting client business requirements for implementing sales and use tax compliance processes, reviewing tax value notices and bills, expertise in sales tax concepts, monitoring changes in tax legislation, overseeing returns, and preparing documentation for stakeholders. You will need to have strong technical awareness of global indirect tax issues, experience in leading teams, and a focus on continuous improvement and the latest tax technologies. To qualify for this role, you should have 8-12 years of experience in the domain, a Bachelor's or Master's degree, strong communication skills, knowledge of budgeting and financial aspects, and the ability to manage project schedules and priorities effectively. Proficiency in data visualization tools like Power Query and Power BI is desirable. EY Global Delivery Services (GDS) offers a dynamic and truly global delivery network with opportunities for career growth and development. The organization values continuous learning, transformative leadership, and a diverse and inclusive culture. By joining EY, you will be part of a team that is dedicated to building a better working world and creating new value for clients, society, and the planet through data, AI, and advanced technology.,

As a Consultant in the SALT Tax Tech team based in Bangalore, you will play an integral role as an Individual Contributor reporting to the Manager. Your primary focus will be on supporting the US region, working from 11:30 AM to 8:30 PM IST. In this hands-on role, you will be expected to utilize your functional and technical expertise in SAP and third-party tax engines such as Onesource and Vertex. Building and nurturing relationships with business leaders will be crucial as you drive engagement in significant tax integration projects. Your responsibilities will include gathering business requirements, leading analysis, and overseeing high-level end-to-end design processes. Collaboration is key in this role, as you will drive configuration and development activities in coordination with both internal and external teams. Managing external software vendors and System Integrators to ensure adherence to SLAs during project implementation will be part of your responsibilities. Additionally, you will take on a domain lead role in IT projects, ensuring comprehensive stakeholder involvement and timely communication. Leadership is a core aspect of this role, where you will integrate technical expertise with business acumen to deliver innovative solutions for the company and its customers. Mentorship within the team, consultation with various stakeholders, customers, and vendors on complex issues, and adherence to formal system implementation methodologies are all essential components of this position. Ideal candidates for this role will hold a BE/B.Tech/MCA degree with 4 to 7 years of relevant experience. Proficiency in SAP, Onesource, Vertex, and indirect tax integration is mandatory, while familiarity with indirect tax concepts, SAP native tax, Tax Engine Integration, O2C and P2P processes, tax engine configurations, troubleshooting tax-related issues, and solution design are preferred skills. Your key behavioral attributes should include practical experience in Tax Engine Integration with ERP systems, a solid grasp of Indirect Tax Concepts, and proficiency in O2C and P2P processes. Troubleshooting tax-related issues, knowledge of Avalara, and VAT compliance will be advantageous in this role. The interview process for this position involves 2 technical rounds followed by an HR round. Travel may be required for this role, while the busy season does not apply.,

We are looking for a Site Reliability Engineer (SRE) with a strong background in Google Cloud Platform (GCP), Google BI and AI/ML tools (Looker, BigQuery ML, Vertex AI, etc.). The ideal candidate will be responsible for ensuring the reliability, performance, and scalability of our on-premises and cloud-based systems along with focus on reducing costs for Google Cloud. What You’ll Do Work in a DevSecOps environment responsible for the building and running of large-scale, massively distributed, fault-tolerant systems. Work closely with development and operations teams to build highly available, cost effective systems with extremely high uptime metrics. Work with cloud operations team to resolve trouble tickets, develop and run scripts, and troubleshoot Create new tools and scripts designed for auto-remediation of incidents and establishing end-to-end monitoring and alerting on all critical aspects Build infrastructure as code (IAC) patterns that meet security and engineering standards using one or more technologies (Terraform, scripting with cloud CLI, and programming with cloud SDK). Participate in a team of first responders in a 24/7 environment, follow the sun operating model for incident and problem management What Experience You Need BS degree in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent job experience required 2-5 years of experience in software engineering, systems administration, database administration, and networking. 1+ years of experience developing and/or administering software in public cloud Experience in monitoring infrastructure and application uptime and availability to ensure functional and performance objectives. Experience in languages such as Python, Bash, Java, Go JavaScript and/or node.js Demonstrable cross-functional knowledge with systems, storage, networking, security and databases System administration skills, including automation and orchestration of Linux/Windows using Terraform, Chef, Ansible and/or containers (Docker, Kubernetes, etc.) Proficiency with continuous integration and continuous delivery tooling and practices Cloud Certification Strongly Preferred What Could Set You Apart You have experience designing, analyzing and troubleshooting large-scale distributed systems. You take a system problem-solving approach, coupled with strong communication skills and a sense of ownership and drive You have experience managing Infrastructure as code via tools such as Terraform or CloudFormation You are passionate for automation with a desire to eliminate toil whenever possible You’ve built software or maintained systems in a highly secure, regulated or compliant industry You thrive in and have experience and passion for working within a DevOps culture and as part of a team

Company Description The Association of Business Women in Commerce & Industry (ABWCI) is a global chamber dedicated to empowering women in business. We foster equity and inclusive prosperity through a supportive ecosystem. Our commitment includes providing access to investment capital, trade networks, and entrepreneurial education. ABWCI advocates for policies that create women-centric entrepreneurial ecosystems, aiming to foster a thriving society. Role Description This is a full-time, on-site role for an AI Full Stack Developer located in New Delhi. The AI Full Stack Developer will be responsible for both front-end and back-end web development tasks. The developer will work on designing, implementing, and maintaining web applications, ensuring seamless integration of AI functionalities. Day-to-day activities include coding, debugging, collaborating with team members, and staying updated with emerging technologies. Qualifications Front-End Development skills, including proficiency in HTML, CSS, and JavaScript Back-End Web Development skills, with experience in server-side languages and database management Proficiency in HTML, CSS, JavaScript/TypeScript, TailwindCSS or Bootstrap Proficiency in Node.js , Express.js , FastAPI , or Django Strong command of SQL and NoSQL databases (PostgreSQL, MongoDB, Redis) Knowledge of ETL pipelines , data preprocessing , and streaming data API design and consumption (REST/GraphQL) Integrate ML models using APIs or containers (FastAPI, Flask, BentoML) Familiarity with Python ML tools: TensorFlow, PyTorch, or Scikit-learn 3-4 years of expertise in Full-Stack Development , encompassing both front-end and back-end development including AI integration. Strong experience in Software Development, including knowledge of software development lifecycle and best practices Experience with AI technologies and their integration into web applications is a plus Proficiency with AWS , GCP , or Azure for full-stack & AI workloads Experience using cloud-native AI tools (e.g., AWS SageMaker, Google Vertex AI) API integrations with OpenAI , Anthropic , or Hugging Face Hub Hands-on experience with Docker , Kubernetes , and container orchestration Implementing secure authentication (OAuth2, JWT, SSO) Understanding of rate limiting, load balancing, and threat mitigation, performance tuning, caching (Redis, CDN), and lazy-loading for scalability Strong experience in developing and deploying AI/ML systems using frameworks like TensorFlow and PyTorch, with expertise in NLP (Transformers, spaCy), deep learning, LLMs (e.g., GPT, Claude), RAG pipelines, embedding models, and vector databases such as FAISS and Pinecone Unit, integration, and E2E testing with tools like Jest , PyTest , Selenium Consume and deploy ML/AI models via APIs or microservices Excellent problem-solving abilities and attention to detail Ability to work collaboratively in a team and communicate effectively Bachelor's degree in Computer Science, Engineering, or related field Bonus/Preferred Qualification Experience with LLMs and RAG (Retrieval-Augmented Generation) systems Contributions to open-source ML projects Certification in AI/ML or Cloud Platforms Experience in AI model serving , monitoring , and MLOps Perks & Benefits Competitive Salary Opportunity to work on cutting-edge AI-driven products You will be allowed to use co-pilots for development, we just want the work done as quick as possible! Location In-office, New Delhi All in all, we want some one who can develop websites and digital products from scratch and integrate AI system to introduce scalable and predictive systems with modern machine learning, front end and back end development, as a whole Full Stack Engineer with modern AI deployment skills. Join us, if you want to make an impact in a new world of opportunities!