9 Aiml Services Jobs

We are looking for a Datacentre / Hybrid Cloud AI Infrastructure Architect to join our team. In this role, you will be responsible for leading the design, implementation, and optimization of AI infrastructure. Your main tasks will include conducting infrastructure assessments, developing technology roadmaps, recommending solutions, designing architectures, collaborating with stakeholders, optimizing performance, and ensuring security and compliance. As a Datacentre / Hybrid Cloud AI Infrastructure Architect, you should have at least 10-14 years of experience in technical roles, with a focus on Hybrid and Cloud Technologies. You will need a deep understanding of on-premises and cloud technologies, strong analytical skills, and the ability to work collaboratively with cross-functional teams. Key Responsibilities: 1. Infrastructure Assessment: Evaluate existing IT infrastructure for hybrid and cloud environments, identify gaps and risks. 2. Roadmap Development: Create detailed plans to modernize infrastructure in line with business goals. 3. Technology Recommendations: Recommend technology solutions based on business needs and provide cost-benefit analysis. 4. Architecture Design: Design scalable and cost-effective AI infrastructure solutions for on-premises and hybrid cloud environments. 5. Collaboration and Leadership: Work with stakeholders to gather requirements and provide technical leadership during solution design. 6. Cloud and Hybrid Design and Integration: Design migration strategies and ensure seamless integration between on-premises and cloud infrastructures. 7. Performance Optimization: Monitor and optimize infrastructure performance, scalability, and reliability. 8. Security and Compliance: Ensure solutions meet security standards and compliance requirements. Qualifications and Skills: - Bachelor's degree in computer science, Information Technology, or related field. - Minimum of 10+ years of experience in IT infrastructure roles, including 5+ years as an Infrastructure Architect. - Strong knowledge of HCI, cloud platforms (AWS, Azure, Google Cloud), and virtualization technologies. - Experience with Observability tools, infrastructure automation tools, cloud platforms, containerization technologies, network architecture, storage solutions, and security frameworks. - Excellent communication and presentation skills, problem-solving abilities, and the capacity to manage multiple priorities effectively. If you are passionate about leveraging AI and machine learning to drive innovation and business growth, and possess the required qualifications and skills, we encourage you to apply for the Datacentre / Hybrid Cloud AI Infrastructure Architect position. Kindly share your resume with us at praveena.madhankumar@wipro.com.,

You are currently looking for a Manager IT - Digital Content Management based in Mumbai. As the ideal candidate, you should have extensive experience in managing digital content for a consumer business, including collaboration with multiple partners and agencies. With a minimum of 6-8 years of experience, you must possess a strong track record in both full cycle implementation and support projects. Your expertise should extend to working with Product Information Management (PIM) platforms and various domains of digital marketing such as SEO, Supply Chain Management (SCM), and Google Analytics. Previous experience in maintaining and enhancing digital assets within a multinational corporation or matrixed organization is highly desirable. In this role, you will be responsible for the complete management of digital marketing content across all platforms and business units. Your duties will include providing advisory support, implementing new technology initiatives to align with marketing strategies, and ensuring compliance with brand and organizational guidelines. As a Manager IT - Digital Content Management, you will play a crucial role in introducing and supporting new digital marketing strategies from an IT perspective. Upholding strict governance over all digital content and assets, you will be tasked with ensuring regular updates and structured availability while offering training and support to enhance the skills of both IT and business users. Your proficiency in the latest Cloud and AI/ML services is essential for this position. Working in a cross-functional environment, you will collaborate with various stakeholders from IT, Sales, and Marketing. Additionally, you may be required to work independently and provide mentorship to junior team members. The educational qualifications preferred for this role include a BE/BTech/MBA degree with a specialization in Digital Content Management. If you have a passion for driving digital innovation and possess 6-8 years of relevant experience, we invite you to apply for this exciting opportunity in Mumbai.,

As a Data Integration Developer, you will play a crucial role in building and maintaining cloud-based pipelines that drive intelligent document automation and AI services. Your responsibilities will include designing and implementing end-to-end data workflows, starting from file ingestion and trigger mechanisms to integrating with ML services and storage layers. This position is essential for enabling reliable and scalable AI-driven solutions that handle structured and unstructured documents, producing structured outputs for operational purposes. Collaboration with data scientists, cloud engineers, and product owners is a key aspect of this role to ensure seamless integration, observability, and readiness for production of each component within the pipeline. Your primary skills should include proficiency in Python, REST APIs, and asynchronous job handling. Additionally, a strong working knowledge of Google Cloud Platform services such as Pub/Sub, GCS, Cloud Run, BigQuery, and Cloud Build is required. Experience with Docker for deploying containerized services, familiarity with Infrastructure-as-Code tools like Terraform, and automated deployment workflows are also expected. Exposure to integrating AI/ML services or OCR pipelines would be considered a strong advantage. The ideal candidate should have 5.1 to 8 years of experience in a similar role. This position is available in Chennai, Coimbatore, Bangalore, and Pune, and is a full-time job with a day shift schedule that requires in-person work. In summary, as a Data Integration Developer, you will be instrumental in ensuring the smooth operation and efficiency of cloud-based pipelines that power intelligent document automation and AI services, contributing to the development of cutting-edge solutions for structured and unstructured data processing.,

As a highly skilled and innovative Generative AI at Google, you will lead the design, development, and implementation of cutting-edge AI solutions. Your role will involve driving the adoption and advancement of generative AI across various Google products, services, and research initiatives. To excel in this position, you must possess a deep understanding of AI/ML principles, strong engineering skills, and a passion for pushing the boundaries of generative AI capabilities. Your responsibilities will include providing technical leadership in the design, development, and deployment of generative AI solutions. You will need to stay updated on the latest research and advancements in generative AI, identify and evaluate new technologies and tools, and design scalable and reliable architectures for generative AI systems. Additionally, you will lead the development and training of state-of-the-art generative AI models, optimize model performance, and implement responsible AI practices such as fairness, bias detection, and explainability. Collaboration and mentorship are crucial aspects of this role. You will collaborate with researchers, engineers, and product managers, mentor other engineers on generative AI best practices, and contribute to Google's AI community and thought leadership. To qualify for this position, you should have a PhD or Master's degree in Computer Science, Artificial Intelligence, or a related field, a strong understanding of deep learning, natural language processing, and/or computer vision, expertise in generative AI models and frameworks, proficiency in Python and relevant AI/ML libraries, experience with large-scale data processing and distributed systems, as well as excellent communication, interpersonal, and collaboration skills. Preferred qualifications include experience with Google Cloud Platform (GCP) and its AI/ML services, publications or patents in generative AI, contributions to open-source AI projects, and experience with AI ethics and responsible AI development.,

As an AI Cloud Architect + developer with over 10 years of experience, you will play a crucial role in designing, developing, and deploying cloud-based solutions to cater to our clients" needs. Your primary responsibility will be to create scalable, secure, and cost-effective cloud architectures that align with both business and technical project requirements. Additionally, you will be actively involved in coding, testing, debugging, and troubleshooting cloud applications using a variety of cloud services and tools. Collaboration with fellow developers, architects, and project managers will be essential to ensure the timely delivery of high-quality cloud solutions that exceed client expectations. Your key responsibilities will include designing and developing cloud architectures and applications utilizing platforms such as AWS, Azure, Google Cloud, or other cloud solutions. It will be imperative to implement industry best practices and standards for cloud development, security, performance, and reliability. Furthermore, integrating cloud solutions with existing systems and applications through APIs, microservices, and other methods will be a crucial aspect of your role. You will also be required to optimize cloud resources and costs by leveraging automation, monitoring, and analytics tools effectively. Documenting and communicating cloud architectures and applications using diagrams, reports, and presentations will also be part of your responsibilities. Staying updated with the latest cloud technologies and trends to enhance existing solutions and identify new opportunities will be crucial for continual improvement. To qualify for this role, you should hold a Bachelor's degree in computer science, engineering, or a related field along with a minimum of 5-10 years of experience in cloud architecture and development utilizing AWS, Azure, Google Cloud, or similar platforms. Your experience in AI/ML services provided by GCP, Azure, and AWS will be highly beneficial. Proficiency in programming languages such as Python, Java, C#, Node.js, and familiarity with various cloud services and tools like EC2, S3, Lambda, CloudFormation, Azure Functions, Google Compute Engine, Cloud Storage, Cloud Functions, etc., is essential. A solid understanding of cloud security, performance, reliability concepts, integration, migration, and deployment using DevOps tools is required. Strong knowledge of cloud security, networking, storage, database services, containerization (Docker, Kubernetes), serverless computing, automation tools like Terraform, Ansible, CloudFormation, and DevOps practices and tools such as Jenkins, GitLab CI, or Azure DevOps is expected. Excellent communication, collaboration, and problem-solving skills are essential for this role. Holding certifications in AWS, Azure, Google Cloud, or other cloud platforms would be advantageous. Experience in designing disaster recovery and business continuity plans for cloud environments would also be a plus.,

As a skilled Architect & Designer, you will be responsible for developing end-to-end architecture blueprints for large-scale enterprise applications. You will define component-based and service-oriented architectures such as Microservices, SOA, and Event-Driven designs. Your expertise will be crucial in creating API-first designs using REST, GraphQL, and gRPC with clear versioning strategies. Additionally, you will establish integration patterns for internal systems, third-party APIs, and middleware while designing cloud-native architectures leveraging AWS, Azure, or GCP services. Your role will also involve defining coding guidelines, performance benchmarks, and security protocols, and participating in POC projects to evaluate new tools and frameworks. In terms of Performance, Security, & Scalability, you will be tasked with implementing caching strategies like Redis, Memcached, and CDN integrations. Ensuring the horizontal and vertical scalability of applications will be a key responsibility, along with applying security best practices such as OAuth 2.0, JWT, SAML, encryption (TLS/SSL, AES), input validation, and secure API gateways. Setting up application monitoring and logging using ELK, Prometheus, Grafana, or equivalent tools will also fall under your purview. Your expertise in DevOps & Delivery will be vital as you define CI/CD workflows using Jenkins, GitHub Actions, Azure DevOps, or GitLab CI. Collaborating with DevOps teams for container orchestration using Docker and Kubernetes and integrating automated testing pipelines including unit, integration, and load testing will be essential for successful project delivery. Your proficiency in various technical skills and frameworks such as Microservices, Domain-Driven Design (DDD), Event-Driven Architecture (EDA), front-end technologies like Angular and React, and message brokers like Kafka, RabbitMQ, Azure Event Hub, and Azure Service Bus will be highly valued. Knowledge of databases like PostgreSQL, MySQL, MS SQL Server, MongoDB, caching layers like Redis and Memcached, as well as cloud services and infrastructure like Azure App Services, Functions, API Management, and Cosmos DB will be crucial for the role. Ensuring security through OAuth 2.0, SAML, OpenID Connect, JWT, secure coding practices, threat modeling, and penetration testing familiarity will be part of your responsibilities. Proficiency in DevOps tools like Azure DevOps, GitLab CI/CD, Docker, Kubernetes, testing frameworks like JUnit, NUnit, PyTest, Mocha, performance/load testing tools such as JMeter, Locust, and monitoring & observability tools like Azure Monitoring, App Insight, Prometheus, and Grafana will be essential for success in this role. Preferred skills and certifications such as being a Microsoft Certified Azure Solutions Architect Expert, exposure to AI/ML services, and IoT architectures will be advantageous. Key Performance Indicators for success include reducing system downtime through robust architecture designs, improving performance metrics, scalability readiness, successful delivery of complex projects without major architectural rework, and increasing developer productivity through better standards and tools adoption.,

As an innovative software services startup dedicated to transforming enterprises into AI powerhouses, Gruve specializes in cybersecurity, customer experience, cloud infrastructure, and advanced technologies like Large Language Models (LLMs). The mission of Gruve is to assist customers in their business strategies by harnessing data to make intelligent decisions. Being a well-funded early-stage startup, Gruve provides a dynamic environment supported by robust customer and partner networks. As a Customer Success Manager (CSM) at Gruve, you play a pivotal role in ensuring customer satisfaction and maximizing the value they receive from our Cyber Security, Infrastructure, Customer Experience, and AI/ML services. Your responsibilities include owning the customer journey from onboarding to service delivery, establishing strategic relationships with key stakeholders, identifying expansion opportunities, conducting Quarterly Business Reviews (QBRs), collaborating with internal teams, monitoring service performance, driving customer advocacy, and optimizing processes related to customer success. You should possess a Bachelor's degree in business, technology, or a related field along with a minimum of 8 years of experience as a Customer Success Manager in the IT Services industry. A successful track record in driving customer success, retention, and growth, exceptional communication skills, extensive experience with global customers, familiarity with network security products, strong analytical abilities, and proficiency in using customer success platforms are essential qualifications. The ideal candidate will thrive in a fast-paced, customer-focused environment and may hold a PMP certification. At Gruve, we promote a culture of innovation, collaboration, and continuous learning, striving to create a diverse and inclusive workplace where everyone can excel. If you are passionate about technology and eager to make a significant impact, we encourage you to apply. Gruve is an equal opportunity employer, welcoming applicants from all backgrounds. We appreciate all applicants and will contact only those selected for an interview.,

As a Technical Lead Backend at Habuild, you will play a key role in leading the architecture, design, and implementation of backend systems that cater to millions of users. You will have a hands-on approach working with the codebase, guiding engineers, and ensuring that our backend infrastructure is scalable, high-performing, and future-proof. Your responsibilities will include owning and driving the technical roadmap for core backend systems, architecting and developing scalable microservices using FastAPI, optimizing asynchronous workflows for efficient API calls, integrating with vector databases and AI/ML APIs, and providing guidance on system architecture, database schema, and service orchestration. You will be responsible for setting coding standards, conducting code reviews, mentoring engineers, and fostering a culture of engineering excellence within the team. To excel in this role, you are required to have at least 6 years of backend development experience with a minimum of 3 years specifically in Python. Proficiency in FastAPI and async programming, solid knowledge of PostgreSQL and vector databases, experience with LLM APIs, and expertise in microservices architecture and API design are essential. Additionally, familiarity with real-time communication protocols, Docker, CI/CD pipelines, and cloud deployment is necessary. Your proven leadership skills, innovative mindset, and track record of exploring new technologies will be highly valued. Joining us at Habuild means being part of a mission-driven company that is dedicated to transforming lives every day. You will have the opportunity to work on critical systems, be surrounded by passionate individuals, enjoy a high-ownership culture, and benefit from a flexible work model that emphasizes continuous learning and experimentation. Together, we can build something extraordinary.,

As a Solution Architect/Business Development Manager at NTT DATA, you will play a crucial role in specializing in Hyperscalers and cloud-based AI services, particularly Large Language Models (LLMs) offered by major cloud providers. Your responsibilities will include assessing client needs, recommending appropriate cloud AI technologies, sizing opportunities and cloud infrastructure requirements, and collaborating with delivery teams to create end-to-end solutions with accurate costing. You will need to demonstrate deep expertise in cloud-based AI services such as AWS Bedrock, Azure OpenAI Service, Google Vertex AI, and their supported models. Your key roles and responsibilities will include solution architecture & technical leadership, business development, project & delivery leadership, and AI agent development. You will be required to develop compelling proposals and solution presentations for cloud-based AI implementations, nurture client relationships, and lead technical discovery sessions with clients. Additionally, you will need to architect multi-agent systems that leverage cloud platform capabilities, develop frameworks for agent orchestration and governance, and design cloud-native agent solutions that integrate with existing enterprise systems. To be successful in this role, you should have at least 8 years of experience in solution architecture or technical consulting roles, with 3 years of specialized experience working with LLMs and Private AI solutions. A strong understanding of cloud infrastructure sizing, optimization, and cost management for AI workloads is essential, along with the ability to convert business requirements into technical specifications. A bachelor's degree in computer science, AI, or a related field is required, and the ability to travel up to 25% may be necessary. Preferred qualifications include a master's degree or PhD in Computer Science or a related technical field, as well as cloud certifications such as AWS Certified Solutions Architect, Microsoft Certified: Azure Solutions Architect Expert, and Google Cloud Professional Cloud Architect. Experience with autonomous agent development using cloud-based AI services, deploying and fine-tuning LLMs on cloud platforms, and prompt engineering and LLM optimization techniques is also desirable. Strong problem-solving abilities, excellent communication skills, and an analytical mindset are essential for this role. This position is based in Delhi or Bangalore and offers a hybrid working environment. NTT DATA is a trusted global innovator of business and technology services, serving 75% of the Fortune Global 100. With a commitment to helping clients innovate, optimize, and transform for long-term success, NTT DATA invests over $3.6 billion each year in R&D. As a Global Top Employer, NTT DATA has diverse experts in more than 50 countries and offers services including business and technology consulting, data and artificial intelligence, industry solutions, application development, infrastructure management, and connectivity.,