714 Vertex Jobs

Role : MLOps Engineer Location – PAN India Notice: Immediate to 60 days Key words -Skillset AWS SageMaker, Azure ML Studio, GCP Vertex AI PySpark, Azure Databricks MLFlow, KubeFlow, AirFlow, Github Actions, AWS CodePipeline Kubernetes, AKS, Terraform, Fast API Responsibilities Model Deployment, Model Monitoring, Model Retraining Deployment pipeline, Inference pipeline, Monitoring pipeline, Retraining pipeline Drift Detection, Data Drift, Model Drift Experiment Tracking MLOps Architecture REST API publishing Job Responsibilities: Research and implement MLOps tools, frameworks and platforms for our Data Science projects. Work on a backlog of activities to raise MLOps maturity in the organization. Proactively introduce a modern, agile and automated approach to Data Science. Conduct internal training and presentations about MLOps tools’ benefits and usage. Required experience and qualifications: Wide experience with Kubernetes. Experience in operationalization of Data Science projects (MLOps) using at least one of the popular frameworks or platforms (e.g. Kubeflow, AWS Sagemaker, Google AI Platform, Azure Machine Learning, DataRobot, DKube). Good understanding of ML and AI concepts. Hands-on experience in ML model development. Proficiency in Python used both for ML and automation tasks. Good knowledge of Bash and Unix command line toolkit. Experience in CI/CD/CT pipelines implementation. Experience with cloud platforms - preferably AWS - would be an advantage.

Application Analyst Step into the world of innovation at Thomson Reuterswhere your technical expertise meets global impact. As an Application Analyst, you'll be at the forefront of empowering clients by delivering exceptional support for our cutting-edge software solutions! The Application Analyst , role sits within our front-line technical support organization, which is tasked with assisting customers to successfully utilize our software solutions therefore meeting their firms business objectives. Hybrid Work Mode2-3 days mandatory Work from Office every week. Successful candidate will be required to cover at least one weekend shift(Saturday or Sunday) Shift timing9 hours between 7 :30PM - 5 :30AM IST (night shift). Candidate should be comfortable to work in rotational shifts. About the Role: In this opportunity as Application Analyst , you will be: Responding to and solving queries raised by our customers during their use of our applications, responding to customer by phone, e-mail or case comments. Concisely and accurately document support request information, paying particular attention to problem description, resolution, user reaction and follow up action. Interact with colleagues to resolve customer issues effectively and timely. Use internal resources as needed and escalate issues to Team Lead or Manager. Maintain up to date product knowledge of all supported products. Maintain correct contact details for our client base on our internal systems. Ensure common queries have a Knowledge Base Article (KBA). About You Youre a fit for the role of Application Analyst if your background includes: Essential Skills: Have an excellent level of English. 1-2 years of relevant experience is required. Strong customer service and communication skills. Experience providing technical support for enterprise class software. Problem solving skills. Able to work as part of a Team. Good to have skills: Experience with ONESOURCE Indirect Tax Determination (Sabrix), Vertex or Avalara #LI-SS3 Whats in it For You Hybrid Work Model Weve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrows challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our valuesObsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound excitingJoin us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com.

A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. As part of our Analytics and Insights Consumption team, you’ll analyze data to drive useful insights for clients to address core business issues or to drive strategic outcomes. You'll use visualization, statistical and analytics models, AI/ML techniques, Modelops and other techniques to develop these insights. Years of Experience: Candidates with 4+ years of hands on experience Must Have Internal & External stakeholder management Familiarity with the CCaaS domain, CCaaS Application Development , contact center solution design & presales consulting. In-depth knowledge of CCaaS platforms like MS DCCP, Amazon Connect, NICECXOne, Genesys Cloud , Cisco Webex CC, Cisco HCS, UCCE/PCCE etc., including their architecture, functionalities, and application development, integration capabilities Governance & communication skills Hands-on configuration of Gen AI, LLM to be built on top of CCaaS platforms/Domain (MS DCCP, Amazon Connect, Genesys Cloud/NICE CX) includes, Develop and implement generative AI models to enhance customer interactions, including chatbots, virtual agents, and automated response systems. Speech scientist & speech, conversational fine-tuning (grammar & pattern analysis) Collaborate with stakeholders to identify business needs and define AI-driven solutions that improve customer experiences. Analyze existing customer service processes and workflows to identify areas for AI integration and optimization. Create and maintain documentation for AI solutions, including design specifications and user guides. Monitor and evaluate the performance of AI models, making adjustments as necessary to improve accuracy and effectiveness. Stay updated on the latest advancements in AI technologies and their applications in customer service and contact centers. Conduct training sessions for team members and stakeholders on the use and benefits of AI technologies in the contact center. Understanding of the fundamental ingredients of enterprise integration including interface definitions and contracts; REST APIs or SOAP web services; SQL,MY SQL, Oracle , PostgreSQL , Dynamo DB, S3, RDS Provide effective real time demonstrations of CCaaS & AI (Bots) platforms High proficiency in defining top notch customer facing slides/presentations Gen AI,LLM platforms MUST have technologies includes Copilot, Copilot Studio, Amazon Bedrock, Amazon Titan, Sagemaker, Azure OpenAI, Azure AI Services, Google Vertex AI, Gemini AI. Proficiency in data visualization tools like Tableau, Power BI, Quicksight and others Nice To Have Experience in CPaaS platforms (Twilio, Infobip) for synergies between Communication Platform As A Service & Contact Center As a Service Understanding of cloud platforms (e.g., AWS, Azure, Google Cloud) and their services for scalable data storage, processing, and analytics Work on high velocity Presales solution consulting engagements (RFP, RFI, RFQ) Define industry specific use cases (BFS & I, Telecom, Retail, Manlog etc) Work on high volume presales consulting engagements including solution design document definition, commercial construct (CCaaS) Defining Business Case Show more Show less

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

Overview We are seeking an experienced Reporting GenAI Consultant with a strong background in developing AI-driven reporting solutions. This role focuses on building and integrating Generative AI capabilities into BI platforms to enable natural language insights, automated report generation, and interactive dialogue with data. The ideal candidate will have hands-on experience working with LLMs, prompt engineering, and modern data visualization tools. Responsibilities Design, develop, and deploy GenAI-based reporting solutions that generate insights summaries, dashboards, and narrative analytics using structured and unstructured data. Build natural language interfaces and conversational agents for querying data (Dialogue with Data), enabling users to interact with reports through plain English. Integrate GenAI features (like ChatGPT, Azure OpenAI, or Vertex AI) with enterprise BI platforms (Power BI, Tableau, Qlik, ThoughtSpot, etc.). Implement automated insight generation using LLMs to summarize trends, detect anomalies, and generate key takeaways. Collaborate with data engineering and BI teams to optimize data models and ensure clean, prompt-ready datasets. Design and fine-tune prompts and templates for contextual report summarization and storytelling. Conduct POCs and pilots to evaluate the feasibility and impact of GenAI-driven reporting use cases. Ensure solutions are secure, scalable, and compliant with enterprise governance policies. Qualifications 10+ years of experience in Business Intelligence/Analytics with 1-2 years in Generative AI implementations. Strong experience in Power BI with exposure to augmented analytics features. Experience working with LLMs (OpenAI, Azure OpenAI, Hugging Face, Google PaLM, etc.) for natural language understanding and summarization. Expertise in prompt engineering, few-shot learning, and custom summarization models. Good understanding of data storytelling, narrative generation, and auto-generated insights. Experience in integrating APIs for AI models into web or reporting tools. Familiarity with Python or JavaScript for model integration and backend logic. Excellent communication and stakeholder management skills. Preferred Qualifications: Experience with RAG (Retrieval-Augmented Generation), LangChain, or similar frameworks. Exposure to voice-based analytics or speech-to-insight solutions. Knowledge of data governance, privacy (GDPR/CPRA), and enterprise security standards. Familiarity with cloud platforms: Azure Show more Show less

Job Summary: We are seeking a highly skilled and experienced Data Scientist with a deep understanding of data analytics powered by artificial intelligence (AI) tools. The ideal candidate will be passionate about turning data into actionable insights using cutting-edge AI platforms, automation techniques, and advanced statistical methods. Key Responsibilities: Develop and deploy scalable AI-powered data analytics solutions for business intelligence, forecasting, and optimization. Leverage AI tools to automate data cleansing, feature engineering, model building, and visualization. Design and conduct advanced statistical analyses and machine learning models (supervised, unsupervised, NLP, etc.). Collaborate cross-functionally with engineering and business teams to drive data-first decision-making. Must-Have Skills & Qualifications: Minimum 4 years of professional experience in data science, analytics, or a related field. Proficiency in Python and/or R with strong hands-on experience in ML libraries (scikit-learn, XGBoost, TensorFlow, etc.). Expert knowledge of SQL and working with relational databases. Proven experience with data wrangling, data pipelines, and ETL processes. Deep Understanding of AI Tools for Data Analytics (Experience with several of the following is required): Data Preparation & Automation: Alteryx, Trifacta, KNIME AI/ML Platforms: DataRobot, H2O.ai, Amazon SageMaker, Azure ML Studio, Google Vertex AI Visualization & BI: Tableau, Power BI, Looker (with AI/ML integrations) AutoML & Predictive Modeling: Google AutoML, IBM Watson Studio, BigML NLP & Text Analytics: OpenAI (ChatGPT, Codex APIs), Hugging Face Transformers, MonkeyLearn Workflow Orchestration: Apache Airflow, Prefect Preferred Qualifications: Degree in Computer Science, Data Science, Statistics, or related field. Experience in cloud-based environments (AWS, GCP, Azure) for ML workloads. To apply, please send your resume to sooraj@superpe.in or shreya@superpe.in SuperPe is an equal opportunity employer and welcomes candidates of all backgrounds to apply. We look forward to hearing from you! Show more Show less

Core experience in SAP BASIS and HANA administration 1. Proficiency in SAP products: S/4 HANA, ECC 6.0 EHP5, SAP PI/PO, SAP BW, Solution Manager, portal system, Fiori system, BODS/BOBJ, LaMa, and SLT 2. Experience in Cloud ALM is essential, experience in BTP and Rise with SAP is preferred Managing SAP applications on cloud environments (AWS, Azure, SAP, and GCP) 4. Experience in migrations from on-premise to on-premise/cloud environments 5. Ability to work on both OS (Linux/Unix) tasks for SAP as well as SAP Basis runtime administration 6. Proficiency in SAP NetWeaver ABAP Basis and SAP NetWeaver Java Basis tasks 7. Extensive experience in HANA System replication, root cause analysis, and fixing issues related to system replication, performance, memory/CPU bottlenecks, HANA failovers, and system unavailability 8. A day in the life of an Infoscion As part of the Infosys consulting team, your primary role would be to actively aid the consulting team in different phases of the project including problem definition, effort estimation, diagnosis, solution generation and design and deployment You will explore the alternatives to the recommended solutions based on research that includes literature surveys, information available in public domains, vendor evaluation information, etc. and build POCs You will create requirement specifications from the business needs, define the to-be-processes and detailed functional designs based on requirements. You will support configuring solution requirements on the products; understand if any issues, diagnose the root-cause of such issues, seek clarifications, and then identify and shortlist solution alternatives You will also contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you! Hands-on experience and good knowledge of SSO (both Kerberos and SAML based SSO), configuring EWA reports, and Charm configuration 10. Experience in handling SSL scenarios, renewing, updating certificates, and troubleshooting certificate-related issues 11. Experience in system refresh, HANA DB upgrades, kernel updates, SPS updates, release upgrades, etc 12. Working knowledge of integrating 3rd Party tools with SAP systems like Esker, Taulia, Vertex, OpenText, Libelle, NLS (IQ), PowerBI PowerApps, Denodo, HVR, SuccessFactors, Splunk, and UC4 9. Show more Show less

What You’ll Do Sales and Use Tax Analyst role within the Indirect Tax Center of Excellence, Pune will focus on critical areas such as: US Sales and Use Tax Audit Activities Tax Research Account Reconciliations MIS to tax leadership This is an professional (IC) role. Perform thorough analysis of the Returns and its workings with accuracy. Data retrieval and Reconciliations of the returns with respective ERP ( Oracle, SAP ) & Vertex. Audit Defense including communication with external Auditors. Communications with Business stakeholders for documentation and evidences. Creation of SOP for any new takeovers and support in formalizing the process. Keep updated with the law, rules changes for each state relevant to Eaton. Tax applicability analysis and review for all the Mark View Invoices (Non-PO invoices) Monthly updates and review of the Tax Applicability through Checkpoint ( Services & its tax treatments ) Contribute towards initiatives taken for automation within Compliance process. Meet the targets as per the KPI for Sales and Use tax. Research and respond to sales & use tax questions with prompt and accurate replies Perform activities related to Other Projects" Qualifications Post Graduation in Accounting/ MBA from recognized University 2+ years of experience in the area of US Sales and Use Tax. Skills Working knowledge Oracle or SAP. Working knowledge of Vertex Returns or similar compliance software. Good accounting concepts Good verbal and written communication skills. Self-starter. Ability to manage multiple priorities and responsibilities yet still meet time-sensitive deadlines. Attention to detail. Work independently and within a team setting. Ability to deliver quality output under limited supervision.Strong analytical skills, quick learning in ERP like SAP and Oracle for data retrieval. ]]> Show more Show less

Make an impact with NTT DATA Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive. Your day at NTT DATA Cloud AI/GenAI Engineer(ServiceNow) We are seeking a talented AI/GenAI Engineer to join our team in delivering cutting-edge AI solutions to clients. The successful candidate will be responsible for implementing, developing, and deploying AI/GenAI models and solutions on cloud platforms. This role requires knowledge of ServiceNow modules like CSM and virtual agent development. Candidate should have strong technical aptitude, problem-solving skills, and the ability to work effectively with clients and internal teams. What You'll Be Doing Key Responsibilities: Cloud AI Implementation: Implement and deploy AI/GenAI models and solutions using various cloud platforms (e.g., AWS SageMaker, Azure ML, Google Vertex AI) and frameworks (e.g., TensorFlow, PyTorch, LangChain, Vellum). Build Virtual Agent in SN – Design, develop and deploy virtual agents using SN agent builder Integrate SN – Design and develop seamless integration of SN with other external AI systems Agentic AI: Assist in developing agentic AI systems on cloud platforms, enabling autonomous decision-making and action-taking capabilities in AI solutions. Cloud-Based Vector Databases: Implement cloud-native vector databases (e.g., Pinecone, Weaviate, Milvus) or cloud-managed services for efficient similarity search and retrieval in AI applications. Model Evaluation and Fine-tuning: Evaluate and optimize cloud-deployed generative models using metrics like perplexity, BLEU score, and ROUGE score, and fine-tune models using techniques like prompt engineering, instruction tuning, and transfer learning. Security for Cloud LLMs: Apply security practices for cloud-based LLMs, including data encryption, IAM policies, and network security configurations. Client Support: Support client engagements by implementing AI requirements and contributing to solution delivery. Cloud Solution Implementation: Build scalable and efficient cloud-based AI/GenAI solutions according to architectural guidelines. Cloud Model Development: Develop and fine-tune AI/GenAI models using cloud services for specific use cases, such as natural language processing, computer vision, or predictive analytics. Testing and Validation: Conduct testing and validation of cloud-deployed AI/GenAI models, including performance evaluation and bias detection. Deployment and Maintenance: Deploy AI/GenAI models in production environments, ensuring seamless integration with existing systems and infrastructure. Cloud Deployment: Deploy AI/GenAI models in cloud production environments and integrate with existing systems. Requirements: Education: Bachelor/Master's in Computer Science, AI, ML, or related fields. Experience: 3-5 years of experience in engineering solutions, with a track record of delivering Cloud AI solutions. . Should have at least 2 years’ experience of SN and SN agent builder Technical Skills: Proficiency in cloud AI/GenAI services and technologies across major cloud providers (AWS, Azure, GCP) Experience with cloud-native vector databases and managed similarity search services Experience with SN modules like CSM and virtual agent builder Experience with security measures for cloud-based LLMs, including data encryption, access controls, and compliance requirements Programming Skills: Strong programming skills in languages like Python or R Cloud Platform Knowledge: Strong understanding of cloud platforms, their AI services, and best practices for deploying ML models in the cloud Communication: Excellent communication and interpersonal skills, with the ability to work effectively with clients and internal teams. Problem-Solving: Strong problem-solving skills, with the ability to analyse complex problems and develop creative solutions. Nice to have: Experience with serverless architectures for AI workloads Nice to have: Experience with ReactJS for rapid prototyping of cloud AI solution frontends Location: Delhi or Bangalore (with remote work options) Workplace type: Hybrid Working About NTT DATA NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo. Equal Opportunity Employer NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today. Show more Show less

Make an impact with NTT DATA Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive. Your day at NTT DATA We are seeking an exceptional Solution Architect/BDM specializing in Hyperscalers. This role requires deep expertise in cloud-based AI services and Large Language Models (LLMs) offered by major cloud providers. As our Cloud AI SME, you will assess client needs, recommend appropriate cloud AI technologies, size opportunities and cloud infrastructure requirements, and collaborate with delivery teams to create end-to-end solutions with accurate costing. This pivotal role demands a strategic thinker with strong technical knowledge and business acumen who can drive innovation and deliver exceptional value to our clients through cloud-based AI solutions. What You'll Be Doing Key Roles and Responsibilities: Solution Architecture & Technical Leadership Demonstrate deep expertise in cloud-based AI services and LLMs such as AWS Bedrock, Azure OpenAI Service, Google Vertex AI, and their supported models Assess client business requirements and translate them into detailed technical specifications leveraging hyperscaler AI capabilities Recommend appropriate cloud AI solutions based on specific business outcomes and use cases Size cloud infrastructure requirements and optimize cost models for AI workloads Design scalable and secure Private AI architectures Create technical POCs and prototypes on hyperscaler platforms to demonstrate solution capabilities Expertise in fine-tuning, query caching, and optimizing vector embeddings for efficient similarity searches Business Development Size and qualify opportunities in the Cloud AI space Develop compelling proposals and solution presentations for cloud-based AI implementations Build and nurture client relationships at technical and executive levels Collaborate with sales teams to create competitive go-to-market strategies Identify new business opportunities through technical consultation on cloud AI solutions Project & Delivery Leadership Work with delivery teams to develop end-to-end solution approaches and accurate costing Lead technical discovery sessions with clients Guide implementation teams during solution delivery Ensure technical solutions meet client requirements and business outcomes Develop reusable solution components and frameworks to accelerate delivery AI Agent Development Architect multi-agent systems that leverage cloud platform capabilities Develop frameworks for agent orchestration, evaluation, and governance on cloud platforms Design cloud-native agent solutions that integrate with existing enterprise systems Implement agent-based solutions using Cloud tools and services Knowledge, Skills, and Attributes: Basic Qualifications: 8+ years of experience in solution architecture or technical consulting roles 3+ years of specialized experience working with LLMs and Private AI solutions Demonstrated expertise with AWS or Azure or GCP AI/ML services Strong understanding of cloud infrastructure sizing, optimization, and cost management for AI workloads Proven experience converting business requirements into technical specifications Experience working with delivery teams to create end-to-end solutions with accurate costing Strong understanding of agentic AI systems and orchestration frameworks Bachelor’s degree in computer science, AI, or related field Ability to travel up to 25% Preferred Qualifications: Master's degree or PhD in Computer Science or related technical field. Cloud certifications such as: AWS: AWS Certified Solutions Architect, AWS Certified Machine Learning Specialty Azure: Microsoft Certified: Azure Solutions Architect Expert, Azure AI Engineer Associate GCP: Google Cloud Professional Cloud Architect, Professional Machine Learning Engineer Experience with autonomous agent development using cloud-based AI services Experience with deploying and fine-tuning LLMs on cloud platforms Hands-on experience with prompt engineering and LLM optimization techniques Understanding of AI governance, security, and compliance requirements Prior experience in business development or pre-sales for AI solutions Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders Strong problem-solving abilities and analytical mindset Location: Delhi or Bangalore Workplace type: Hybrid Working About NTT DATA NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo. Equal Opportunity Employer NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today. Show more Show less

Make an impact with NTT DATA Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive. Your day at NTT DATA We are seeking an exceptional Solution Architect/BDM specializing in Hyperscalers. This role requires deep expertise in cloud-based AI services and Large Language Models (LLMs) offered by major cloud providers. As our Cloud AI SME, you will assess client needs, recommend appropriate cloud AI technologies, size opportunities and cloud infrastructure requirements, and collaborate with delivery teams to create end-to-end solutions with accurate costing. This pivotal role demands a strategic thinker with strong technical knowledge and business acumen who can drive innovation and deliver exceptional value to our clients through cloud-based AI solutions. What You'll Be Doing Key Roles and Responsibilities: Solution Architecture & Technical Leadership Demonstrate deep expertise in cloud-based AI services and LLMs such as AWS Bedrock, Azure OpenAI Service, Google Vertex AI, and their supported models Assess client business requirements and translate them into detailed technical specifications leveraging hyperscaler AI capabilities Recommend appropriate cloud AI solutions based on specific business outcomes and use cases Size cloud infrastructure requirements and optimize cost models for AI workloads Design scalable and secure Private AI architectures Create technical POCs and prototypes on hyperscaler platforms to demonstrate solution capabilities Expertise in fine-tuning, query caching, and optimizing vector embeddings for efficient similarity searches Business Development Size and qualify opportunities in the Cloud AI space Develop compelling proposals and solution presentations for cloud-based AI implementations Build and nurture client relationships at technical and executive levels Collaborate with sales teams to create competitive go-to-market strategies Identify new business opportunities through technical consultation on cloud AI solutions Project & Delivery Leadership Work with delivery teams to develop end-to-end solution approaches and accurate costing Lead technical discovery sessions with clients Guide implementation teams during solution delivery Ensure technical solutions meet client requirements and business outcomes Develop reusable solution components and frameworks to accelerate delivery AI Agent Development Architect multi-agent systems that leverage cloud platform capabilities Develop frameworks for agent orchestration, evaluation, and governance on cloud platforms Design cloud-native agent solutions that integrate with existing enterprise systems Implement agent-based solutions using Cloud tools and services Knowledge, Skills, and Attributes: Basic Qualifications: 8+ years of experience in solution architecture or technical consulting roles 3+ years of specialized experience working with LLMs and Private AI solutions Demonstrated expertise with AWS or Azure or GCP AI/ML services Strong understanding of cloud infrastructure sizing, optimization, and cost management for AI workloads Proven experience converting business requirements into technical specifications Experience working with delivery teams to create end-to-end solutions with accurate costing Strong understanding of agentic AI systems and orchestration frameworks Bachelor’s degree in computer science, AI, or related field Ability to travel up to 25% Preferred Qualifications: Master's degree or PhD in Computer Science or related technical field. Cloud certifications such as: AWS: AWS Certified Solutions Architect, AWS Certified Machine Learning Specialty Azure: Microsoft Certified: Azure Solutions Architect Expert, Azure AI Engineer Associate GCP: Google Cloud Professional Cloud Architect, Professional Machine Learning Engineer Experience with autonomous agent development using cloud-based AI services Experience with deploying and fine-tuning LLMs on cloud platforms Hands-on experience with prompt engineering and LLM optimization techniques Understanding of AI governance, security, and compliance requirements Prior experience in business development or pre-sales for AI solutions Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders Strong problem-solving abilities and analytical mindset Location: Delhi or Bangalore Workplace type: Hybrid Working About NTT DATA NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo. Equal Opportunity Employer NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today. Show more Show less

OPTEL. Responsible. Agile. Innovative. OPTEL is a global company that develops transformative software, middleware and hardware solutions to secure and ensure supply chain compliance in major industry sectors such as pharmaceuticals and food, with the goal of reducing the effects of climate change and enabling sustainable living. If you are driven by the desire to contribute to a better world while working in a dynamic and collaborative environment, then you've come to the right place! Full Stack Developer (Javascript + Mobile Dev + .NET) Summary We are seeking a passionate and highly skilled Full Stack Developer to drive the design, development, and optimization of modern, cloud-hosted SaaS applications. You will be responsible for full solution delivery—from architecture to deployment—leveraging technologies such as C#/.NET Core, Node.js, React.js, and cloud platforms like Google Cloud Platform (GCP) and AWS. The ideal candidate embraces a DevSecOps mindset, contributes to AI/ML integrations, and thrives on building secure, scalable, and innovative solutions alongside cross-functional teams. Architecture & System Design Architect and design scalable, secure, and cloud-native applications. Establish technical best practices across frontend, backend, mobile, and cloud components. Contribute to system modernization efforts, advocating for microservices, serverless patterns, and event-driven design. Integrate AI/ML models and services into application architectures. Application Development Design, develop, and maintain robust applications using C#, ASP.NET Core, Node.js, and React.js. Build cross-platform mobile applications with React Native or .NET MAUI. Develop and manage secure RESTful and GraphQL APIs. Utilize Infrastructure as Code (IaC) practices to automate cloud deployments. Cloud Development & DevSecOps Build, deploy, and monitor applications on Google Cloud and AWS platforms. Implement and optimize CI/CD pipelines (GitHub Actions, GitLab, Azure DevOps). Ensure solutions align with security best practices and operational excellence (DevSecOps principles). AI Development and Integration Collaborate with AI/ML teams to design, integrate, and optimize intelligent features. Work with AI APIs and/or custom AI models. Optimize AI workloads for scalability, performance, and cloud-native deployment. Testing, Automation, and Monitoring Create unit, integration, and E2E tests to maintain high code quality. Implement proactive measures to reduce technical debt. Deploy monitoring and observability solutions. Agile Collaboration Work in Agile/Scrum teams, participating in daily standups, sprint planning, and retrospectives. Collaborate closely with product managers, UX/UI designers, and QA engineers. Share knowledge and actively contribute to a strong, collaborative engineering culture. Skills And Qualifications Required 5+ years experience in Full Stack Development (C#, .NET Core, Node.js, JavaScript/TypeScript). Solid frontend development skills with React.js (Vue.js exposure is a plus). Experience with multi-platform mobile app development (React Native or .NET MAUI). Expertise with Google Cloud Platform (GCP) and/or AWS cloud services. Hands-on experience developing and consuming RESTful and GraphQL APIs. Strong DevOps experience (CI/CD, Infrastructure as Code, GitOps practices). Practical experience integrating AI/ML APIs or custom models into applications. Solid relational and cloud-native database skills (Postgres, BigQuery, DynamoDB). Serverless development (Cloud Functions, AWS Lambda). Kubernetes orchestration (GKE, EKS) and containerization (Docker). Event streaming systems (Kafka, Pub/Sub, RabbitMQ). AI/ML workflow deployment (Vertex AI Pipelines, SageMaker Pipelines). Edge Computing (Cloudflare Workers, Lambda@Edge). Experience with ISO/SOC2/GDPR/HIPAA compliance environments. Familiarity with App Store and Google Play Store deployment processes. EQUAL OPPORTUNITY EMPLOYER OPTEL is an equal opportunity employer. We believe that diversity is essential for fostering innovation and creativity. We welcome and encourage applications from individuals of all backgrounds, cultures, gender identities, sexual orientations, abilities, ages, and beliefs. We are committed to providing a fair and inclusive recruitment process, where each candidate is evaluated solely on their qualifications, skills, and potential. At OPTEL, every employee's unique perspective contributes to our collective success, and we celebrate the richness that diversity brings to our team. See the offer on Jazzhr Show more Show less

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 /Group Reporting professionals with hands-on experience in S/4 HANA. 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 Show more Show less

TCS Hiring !!! Role: Google Data Engineer Experience: 3-5 years Location: Hyderabad & Chennai Job Description: Experience level of 3 to 5 years of relevant experience in data engineering, data warehousing, or a related field. Experience with dashboarding tools like plx dashboard and looker studio Experience with building data pipelines, reports, best practices and frameworks. Experience with design and development of scalable and actionable solutions (dashboards, automated collateral, web applications). Experience with code refactoring for optimal performance. Experience writing and maintaining ETLs which operate on a variety of structured and unstructured sources. Familiarity with non-relational data storage systems (NoSQL and distributed database management systems). Strong proficiency in SQL, NoSQL, ETL tools, Big Query and at least one programming language (e.g., Python, Java). Strong understanding of data structures, algorithms, and software design principles. Experience with data modeling techniques and methodologies. Proficiency in troubleshooting and debugging complex data-related issues. Ability to work independently and as part of a team. Experience Cloud Storage or equivalent cloud platforms Knowledge of Big Query ingress and egress patterns Experience in writing Airflow DAGs Knowledge of pub sub, dataflow or any declarative data pipeline tools using batch and streaming ingestion Other GCP Services: Vertex AI Show more Show less

Company Description UBC BIM specializes in providing 3D BIM solutions for residential and commercial projects using Vertex BD, Scotsteel, Framecad, MWF Strucsoft, and Revit. We offer services for light gauge steel and wood framed structures, including Structural Detailing & engineered structural plans, permit sets, bill of materials, and cost estimation inputs. UBC BIM serves clients in modular and offsite construction, panelized construction, production home builders, general contractors, and fabricators. Role Description This is a full-time on-site role for a Structural Design Engineer with 1-2 years experience in Analysis, and structural Design of Residential, Commercial, Industrial using Hybrid/ Cold-Formed/ Hot-Rolled steel structures. The ideal candidate should Have excellent knowledge on structural calculations as per codes & designing optimized steel structures along with the connections and should be good at Indian & American codes, knowledge of Euro codes will be an added advantage. Be well versed with software’s like STAAD Pro and STRAP . Possess ability to handle assigned projects independently. Qualification: MTech Structural Engineering with 1-2yrs experience. Compensation: As per Industry standards No. of Positions: 1 Location: Hyderabad Show more Show less

Proficiency in AI tools used to prepare and automate data pipelines and ingestion Apache Spark, especially with MLlib PySpark and Dask for distributed data processing Pandas and NumPy for local data wrangling Apache Airflow – schedule and orchestrate ETL/ELT jobs Google Cloud (BigQuery, Vertex AI) Python (most popular for AI and data tasks) Show more Show less

About Spyne At Spyne, we are transforming how cars are marketed and sold with cutting-edge Generative AI. What started as a bold idea—using AI-powered visuals to help auto dealers sell faster online—has now evolved into a full-fledged, AI-first automotive retail ecosystem. Backed by $16M in Series A funding from Accel, Vertex Ventures, and other top investors, we’re scaling at breakneck speed :Launched industry-first AI-powered Image, Video & 360° solutions for Automotive dealer sLaunching Gen AI powered Automotive Retail Suite to power Inventory, Marketing, CRM for dealer sOnboarded 1500+ dealers across US, EU and other key markets in the past 2 years of launc hGearing up to onboard 10K+ dealers across global market of 200K+ dealer s150+ members team with near equal split on R&D and GT M Learn more about our product s:Spyne AI Products - StudioAI, Retail AISeries A Announcement - CNBC-TV18, Yoursto ry Role Overv iewWe’re hiring a Growth Product Manager – AI Produ cts to lead the growth and adoption of AI-first applications and LLM-powered agents. This is a cross-functional role focused on product-led growth, innovation, and sc a le.You’ll work closely with t he CEO, engineering, AI/ML, design, and GTM te ams to launch new products from 0 → 1 and drive their growth across acquisition, activation, retention, and monetizati on. Key Responsibili ties🧭 Funnel Optimiza tionOwn the ent ire product fu nnel: signups → activation → engagement → monetizat ion.Identify drop-offs, friction points, and opportunities us ing Mixpanel, GA, Ampli tude, or similar to ols. 🚀 User Activation & Onboa rdingDesign and launch onboarding flows, checklists, guided tours, and contextual nudges to reduce Time to V alue.Optimize first-user experiences tailored to dealerships (e.g., first vehicle listing or photo sh oot). 📈 Experimentation & Growth LoopsPrioritize, build, and an alyze A/B tests and experiments to drive conversion and feature ado ption.Design and ex ecute growth loops such as referrals, freemium-to-paid flows, or engagement n udges. 💰 Monetization & Ex pansionRun pricing and packaging exper iments.Enable product signals that help Sales/CX teams identify expansion opportu nities.Build upgrade nudges, trial-to-paid flows, and usage-based paywalls where appl icable. 📊 Data & InsightsDefine key metrics for growth and re tention.Collaborate with data analysts to create dashboards and track perf ormance. What We’re Lo oking For3-4 years of exper ience in Product/Growth/ Analytics in high-growth SaaS, AI, or consumer startups.Strong experience work ing with LLM-powered app lications (e.g. GPT, Claude, Huggi ng Face).Familiar ity with Figma, Jira, SQL, and LLM APIs.Proven track r ecord in 0-1 product launches and experi m entation.Strong understa nding of product-led growth principles, growt h met rics and funnel a nalytics.Experience working with to ols like Amplitude, Segment, Hotjar , Looker, or eq uivalent.Hands -on with experimentation f rameworks and A/B testing.Ability to write clear product specs, collaborate with designers and engineers, and s hip fast.A self-starter with strong business sense — comfortable with ambiguity and iterating quickly. Ni ce to HaveExperi ence in a Series A / B startup.Exposure to automotive tech, GenAI, or computer vision-based products.Understanding of SaaS m odels and growth marketi ng tactics (SEO, SEM, loo ps, etc.). Why Join Spyne?Category-defining opportunity: Shape how cars are bought and sol d using AI.H yper-growth: We’re on track for 3x revenue growth this year.G lobal reach: Active expans ion across US, LATAM, MEN A , and APAC.Flat & fast: Work closely with founders and make a tangi ble impact. Show more Show less

Job Title: MLOps Engineer Urgent — High Priority requirement. 1. Location - Hyderabad/ Pune 2. Interview Rounds - 4 round. 3. Contract - 12 Months About Client: We are a fast-growing boutique data engineering firm that empowers enterprises to manage and harness their data landscape efficiently. Leveraging advanced machine learning (ML) methodologies, Job Overview: We are seeking a highly skilled and motivated MLOps Engineer with 3–5 years of experience to join our engineering team. The ideal candidate should possess a strong foundation in DevOps or software engineering principles with practical exposure to machine learning operational workflows. You will be instrumental in operationalizing ML systems, optimizing the deployment lifecycle, and strengthening the integration between data science and engineering teams. Required Skills: ● Hands-on experience with MLOps platforms such as MLflow and Kubeflow. ● Proficiency in Infrastructure as Code (IaC) tools like Terraform or Ansible. ● Strong familiarity with monitoring and alerting frameworks (Prometheus, Grafana, Datadog, AWS CloudWatch). ● Solid understanding of microservices architecture, service discovery, and load balancing. ● Excellent programming skills in Python, with experience in writing modular, testable, and maintainable code. ● Proficient in Docker and container-based application deployments. ● Experience with CI/CD tools such as Jenkins or GitLab CI. ● Basic working knowledge of Kubernetes for container orchestration. ● Practical experience with cloud-based ML platforms such as AWS SageMaker, Databricks, or Google Vertex AI. ● Competency in Linux shell scripting and command-line operations. ● Proficiency with Git and version control best practices. ● Foundational knowledge of machine learning principles and typical ML workflow patterns. Good-to-Have Skills: ● Awareness of security practices specific to ML pipelines, including secure model endpoints and data protection. ● Experience with scripting languages like Bash or PowerShell for automation tasks. ● Exposure to database scripting and data integration pipelines. Experience & Qualifications: ● 3–5+ years of experience in MLOps, Site Reliability Engineering (SRE), or Software Engineering roles. ● At least 2+ years of hands-on experience working on ML/AI systems in production settings. ● Deep understanding of cloud-native architectures, containerization, and the end-to-end ML lifecycle. ● Bachelor’s degree in Computer Science, Software Engineering, or a related technical field. ● Relevant certifications such as AWS Certified DevOps Engineer – Professional are a strong plus. Show more Show less

Be a part of India’s largest and most admired news network! Network18 is India's most diversified Media Company in the fast growing Media market. The Company has a strong Heritage and we possess a strong presence in Magazines, Television and Internet domains. Our brands like CNBC, Forbes and Moneycontrol are market leaders in their respective segments. The Company has over 7,000 employees across all major cities in India and has been consistently managed to stay ahead of the growth curve of the industry. Network 18 brings together employees from varied backgrounds under one roof united by the hunger to create immersive content and ideas. We take pride in our people, who we believe are the key to realizing the organization’s potential. We continually strive to enable our employees to realize their own goals, by providing opportunities to learn, share and grow. Role Overview: We are seeking a passionate and skilled Data Scientist with over a year of experience to join our dynamic team. You will be instrumental in developing and deploying machine learning models, building robust data pipelines, and translating complex data into actionable insights. This role offers the opportunity to work on cutting-edge projects involving NLP, Generative AI, data automation, and cloud technologies to drive business value. Key Responsibilities: Design, develop, and deploy machine learning models, with a strong focus on NLP (including advanced techniques and Generative AI) and other AI applications. Build, maintain, and optimize ETL pipelines for automated data ingestion, transformation, and standardization from various sources Work extensively with SQL for data extraction, manipulation, and analysis in environments like BigQuery. Develop solutions using Python and relevant data science/ML libraries (Pandas, NumPy, Hugging Face Transformers, etc.). Utilize Google Cloud Platform (GCP) services for data storage, processing, and model deployment. Create and maintain interactive dashboards and reporting tools (e.g., Power BI) to present insights to stakeholders. Apply basic Docker concepts for containerization and deployment of applications. Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions. Stay abreast of the latest advancements in AI/ML and NLP best practices. Required Qualifications & Skills: 2 to 5 years of hands-on experience as a Data Scientist or in a similar role. Solid understanding of machine learning fundamentals, algorithms, and best practices. Proficiency in Python and relevant data science libraries. Good SQL skills for complex querying and data manipulation. Demonstrable experience with Natural Language Processing (NLP) techniques, including advanced models (e.g., transformers) and familiarity with Generative AI concepts and applications. Excellent problem-solving and analytical skills. Strong communication and collaboration skills. Preferred Qualifications & Skills: Familiarity and hands-on experience with Google Cloud Platform (GCP) services, especially BigQuery, Cloud Functions, and Vertex AI. Basic understanding of Docker and containerization for deploying applications. Experience with dashboarding tools like Power BI and building web applications with Streamlit. Experience with web scraping tools and techniques (e.g., BeautifulSoup, Scrapy, Selenium). Knowledge of data warehousing concepts and schema design. Experience in designing and building ETL pipelines. Disclaimer: Please note Network18 and related group companies do not use the services of vendors or agents for recruitment. Please beware of such agents or vendors providing assistance. Network18 will not be responsible for any losses incurred. “We correspond only from our official email address” Show more Show less

Job Summary: We are seeking an experienced and highly motivated Senior Data Scientist with a strong background in Generative AI , agentic systems , and end-to-end deployment of AI solutions. This role demands proficiency not only in building intelligent systems but also in operationalizing them using MLOps best practices and cloud-based deployment strategies. The ideal candidate will thrive at the intersection of data science, software engineering, and infrastructure. Key Responsibilities: Design, develop, and deploy advanced AI-powered chatbots and agent-based solutions using frameworks like LangChain and LangGraph . Build and maintain backend APIs and user-facing interfaces using FastAPI and Streamlit . Leverage Snowflake for data integration, transformation, and analytics. Implement and manage MLOps pipelines for model training, validation, versioning, and monitoring. Deploy models and applications on AWS and GCP , ensuring scalability, reliability, and security. Use Redis for caching and real-time data access in production-grade applications. Collaborate with cross-functional teams to translate business needs into technical solutions. Prepare and deliver effective presentations to stakeholders and leadership teams. Ensure code quality, testing, and documentation in Python environments. Required Skills: 5–8 years of hands-on experience in Data Science , with a focus on deployment. Proven experience in Chatbot development , Agentic AI , and LLM-based frameworks . Strong Python programming skills, including use of PyTorch , LangChain , and LangGraph . Proficient in MLOps practices : CI/CD for ML, model monitoring, version control, and automated retraining. Experience deploying solutions on cloud platforms (AWS, GCP). Backend and app development experience with FastAPI , Streamlit , and Redis . Strong working knowledge of Snowflake and data engineering workflows. Excellent communication and presentation skills , with the ability to convey technical topics to non-technical audiences. Experience with containerization tools like Docker and orchestration with Kubernetes . Exposure to prompt engineering and LLM fine-tuning. Nice to Have: Familiarity with tools like MLflow , DVC , Vertex AI . Experience working in agile product teams or startup environments. Show more Show less

DGM/General Manager- F & A Qualification: MBA Finance/ CA / ICWAI Experience 20 years and above Exposure Knowledge in Real Estate Mandatory Location - Hyderabad -Madhapur (Telangana) From Vertex Homes, Hyderabad. Job Description Role & Responsibilities: Knowledge in Balance sheet, TDS Returns Co-ordinate with IT Department at the time scrutiny Knowledge in CMA date to be provided to Banks Preparing Cash flow statements and other reports for submission of Banks Coordinate with internal and external auditors for finalization of books Preparation of statements required for MIS Data ROC filing knowledge Bills verification, Payment to Vendors, contractors Coordinate with sites for PO's and work orders, TDS deductions etc., Proficient in tax regulations, including income tax compliance. Arranging monthly meeting with departmental Heads Coordinating with CRM team for collection follow up (ref:iimjobs.com) Show more Show less

Techvantage.ai is a next-generation technology and product engineering company at the forefront of innovation in Generative AI, Agentic AI, and autonomous intelligent systems. We build intelligent, cutting-edge solutions designed to scale and evolve with the future of artificial intelligence. Role Overview We are looking for a skilled and versatile AI Infrastructure Engineer (DevOps/MLOps) to build and manage the cloud infrastructure, deployment pipelines, and machine learning operations behind our AI-powered products. You will work at the intersection of software engineering, ML, and cloud architecture to ensure that our models and systems are scalable, reliable, and production-ready. Key Responsibilities Design and manage CI/CD pipelines for both software applications and machine learning workflows. Deploy and monitor ML models in production using tools like MLflow, SageMaker, Vertex AI, or similar. Automate the provisioning and configuration of infrastructure using IaC tools (Terraform, Pulumi, etc. Build robust monitoring, logging, and alerting systems for AI applications. Manage containerized services with Docker and orchestration platforms like Kubernetes. Collaborate with data scientists and ML engineers to streamline model experimentation, versioning, and deployment. Optimize compute resources and storage costs across cloud environments (AWS, GCP, or Azure). Ensure system reliability, scalability, and security across all environments. Requirements 5+ years of experience in DevOps, MLOps, or infrastructure engineering roles. Hands-on experience with cloud platforms (AWS, GCP, or Azure) and services related to ML workloads. Strong knowledge of CI/CD tools (e.g, GitHub Actions, Jenkins, GitLab CI). Proficiency in Docker, Kubernetes, and infrastructure-as-code frameworks. Experience with ML pipelines, model versioning, and ML monitoring tools. Scripting skills in Python, Bash, or similar for automation tasks. Familiarity with monitoring/logging tools (Prometheus, Grafana, ELK, CloudWatch, etc. Understanding of ML lifecycle management and reproducibility. Preferred Qualifications Experience with Kubeflow, MLflow, DVC, or Triton Inference Server. Exposure to data versioning, feature stores, and model registries. Certification in AWS/GCP DevOps or Machine Learning Engineering is a plus. Background in software engineering, data engineering, or ML research is a bonus. What We Offer Work on cutting-edge AI platforms and infrastructure. Cross-functional collaboration with top ML, research, and product teams. Competitive compensation package - no constraints for the right candidate. (ref:hirist.tech) Show more Show less

Role : Senior Generative AI Engineer Location : Chennai (on-site) Exp : 3 - 5 years FarmwiseAI is a leading Geospatial AI company based in Chennai, specializing in AI driven agriculture solutions that enable data-driven decision-making for governments, lenders, and businesses. Founded in 2020, we deliver real-time advisory, automated land mapping, and crop-monitoring products at scale to foster sustainable development. As an AI-first organization, we embed AI assistance across our entire product lifecycle from brainstorming and architecture to testing and deployment to empower every team member to leverage AI in their day-to-day work. We are hiring a Generative AI Engineer to build, deploy, and optimize multimodal AI services across text, speech, and vision. You'll work on RAG, synthetic data generation, agent workflows, and integrate STT/TTS/OCR with scalable backend systems. Generative Pipelines : Design applications for RAG, CAG, text classification, summarization, image/video generation, OCR, and synthetic data generation. Multimodal Integration : Work with STT, TTS, IVR, OCR, and vision inputs to enable seamless AI interactions. AI Agent Workflows : Develop modular, multi-step orchestrations for document, conversational, and data-based user journeys. Containerization & Deployment : Collaborate with DevOps to containerize services, manage Kubernetes orchestration, and implement CI/CD for agile delivery. Observability : Instrument services using OpenTelemetry, Prometheus, and logging tools to ensure SLO-driven production reliability. Collaboration : Work cross-functionally with product, data science, and frontend teams to define APIs (REST/GraphQL) and ensure smooth integration. Documentation & Mentorship : Participate in architecture reviews, write clear documentation, and mentor junior engineers and interns Bachelor's/Masters in Computer Science, Data Science, IT, or related field. 2 - 3 years of experience building AI/ML products in Python. Must be proficient in AI-first coding tools like Claude Code, Cursor, Roocode, etc. Proven experience in deploying GenAI applications and agents in production. Strong hands-on with vector search, embedding-based retrieval, STT, TTS, OCR/vision. Familiarity with Docker, Kubernetes, frontend development, and CI/CD workflows. Strong debugging, performance tuning, and cost-optimization skills. Excellent communication, teamwork, and mentoring abilities. Languages & Tools (mandatory) : Python (pandas, scikit-learn, PyTorch, Tensorflow, etc.), Git/GitHub , AWS or GCP. Generative AI stack (mandatory) : LangChain, LlamaIndex, transformers, frontier LLMs (OpenAI, Anthropic, Gemini models) and open models (DeepSeek, Qwen, Llama and Phi models). Vector stores : FAISS, Pinecone, Qdrant, Weaviate, etc. Keyword Index : Elasticsearch, Apache Solr, Typesense, etc. Validation frameworks : Pydantic, Instructor, etc. LLM Abstraction libraries : Lite LLM Asynchronous or parallel programming : asyncio, joblib, etc. API frameworks : FastAPI, Flask, etc. FE prototyping : Streamlit, Gradio, etc Agentic AI Frameworks (mandatory, 1) : Google Agents Development Kit , LangGraph, OpenAI Agents SDK, PydanticAI. Speech & Vision (nice-to-have) : OpenAI Realtime Voice API/Whisper; ElevenLabs/Smallest.ai TTS; LlamaParse/JinaAI/Mistral OCR. Observability & Monitoring (nice-to-have) : OpenTelemetry, Prometheus , LangSmith, Pydantic Logfire . Cloud & DevOps (nice-to-have) : Docker, Kubernetes, GitHub Actions. Domain experience in AgriTech, FinTech, HRTech or EduTech. Experience and profound interest in reading and implementing research papers. Open-source contributions or published evaluation suites. Exposure to managed cloud AI services (Vertex AI, Bedrock, JumpStart). Familiarity with React/Next.js integration (ref:hirist.tech) Show more Show less

Job Description We are seeking a high-impact AI/ML Engineer to lead the design, development, and deployment of machine learning and AI solutions across vision, audio, and language modalities. You'll be part of a fast-paced, outcome-oriented AI & Analytics team, working alongside data scientists, engineers, and product leaders to transform business use cases into real-time, scalable AI systems. This role demands strong technical leadership, a product mindset, and hands-on expertise in Computer Vision, Audio Intelligence, and Deep Learning. Key Responsibilities Architect, develop, and deploy ML models for multimodal problems, including vision (image/video), audio (speech/sound), and NLP tasks. Own the complete ML lifecycle : data ingestion, model development, experimentation, evaluation, deployment, and monitoring. Leverage transfer learning, foundation models, or self-supervised approaches where suitable. Design and implement scalable training pipelines and inference APIs using frameworks like PyTorch or TensorFlow. Collaborate with MLOps, data engineering, and DevOps to productionize models using Docker, Kubernetes, or serverless infrastructure. Continuously monitor model performance and implement retraining workflows to ensure accuracy over time. Stay ahead of the curve on cutting-edge AI research (e.g., generative AI, video understanding, audio embeddings) and incorporate innovations into production systems. Write clean, well-documented, and reusable code to support agile experimentation and long-term platform : Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field. 58+ years of experience in AI/ML Engineering, with at least 3 years in applied deep learning. Technical Skills Languages : Expert in Python; good knowledge of R or Java is a plus. ML/DL Frameworks : Proficient with PyTorch, TensorFlow, Scikit-learn, ONNX. Computer Vision : Image classification, object detection, OCR, segmentation, tracking (YOLO, Detectron2, OpenCV, MediaPipe). Audio AI : Speech recognition (ASR), sound classification, audio embedding models (Wav2Vec2, Whisper, etc.). Data Engineering : Strong with Pandas, NumPy, SQL, and preprocessing pipelines for structured and unstructured data. NLP/LLMs : Working knowledge of Transformers, BERT/LLAMA, Hugging Face ecosystem is preferred. Cloud & MLOps : Experience with AWS/GCP/Azure, MLFlow, SageMaker, Vertex AI, or Azure ML. Deployment & Infrastructure : Experience with Docker, Kubernetes, REST APIs, serverless ML inference. CI/CD & Version Control : Git, DVC, ML pipelines, Jenkins, Airflow, etc. Soft Skills & Competencies Strong analytical and systems thinking; able to break down business problems into ML components. Excellent communication skills able to explain models, results, and decisions to non-technical stakeholders. Proven ability to work cross-functionally with designers, engineers, product managers, and analysts. Demonstrated bias for action, rapid experimentation, and iterative delivery of impact. (ref:hirist.tech) Show more Show less

Job Summary We are seeking a highly experienced Principal Architect with 10 to 14 years of experience to join our team. The ideal candidate will have expertise in Vertex AI Project Stakeholder Management Google APIGEE Risk Management Delivery Management Cloud Storage Google Data Studio and Looker. This role requires domain experience in Utilities and offers a hybrid work model with day shifts. Responsibilities Lead the design and implementation of complex architectural solutions using Vertex AI and Google APIGEE. Oversee project stakeholder management to ensure alignment with business objectives and successful project delivery. Provide risk management strategies to identify assess and mitigate potential risks throughout the project lifecycle. Manage delivery processes to ensure timely and efficient completion of projects. Utilize Cloud Storage solutions to manage and store data securely and efficiently. Develop and maintain data visualizations and reports using Google Data Studio and Looker. Collaborate with cross-functional teams to ensure seamless integration of architectural solutions. Conduct regular reviews and assessments of architectural frameworks to ensure they meet industry standards and best practices. Implement continuous improvement initiatives to enhance the efficiency and effectiveness of architectural processes. Provide technical guidance and mentorship to junior team members. Ensure compliance with regulatory requirements and industry standards in the Utilities domain. Communicate effectively with stakeholders to provide updates on project progress and address any concerns. Drive innovation and stay updated with the latest technological advancements in the field. Qualifications Possess a strong background in Vertex AI and Google APIGEE with hands-on experience. Demonstrate expertise in project stakeholder management and risk management. Have a proven track record in delivery management and cloud storage solutions. Show proficiency in creating data visualizations and reports using Google Data Studio and Looker. Exhibit domain knowledge and experience in the Utilities sector. Display excellent communication and collaboration skills. Hold a relevant certification in cloud architecture or a related field. Certifications Required Google Professional Cloud Architect Certified Project Management Professional (PMP)