5 Google Ai Jobs

Perform gap analysis & assess the impact of AI implementations on business processes Develop prototypes & proof-of-concept AI solutions using tools like Python, TensorFlow, or R Support UAT Required Candidate profile Experience in AI/ML or data analytics projects, AI/ML concepts, data pipelines, statistical modeling Proficiency in Python, R, or SQL preferred, AI tools - Azure AI, AWS SageMaker, Google AI, OpenAI

Job Summary: We are looking for a visionary Senior AVP - Generative AI Lead to spearhead our Generative AI initiatives. In this senior leadership role, you will design and execute cutting-edge AI strategies leveraging generative models to drive innovation, optimize business processes, and create new AI-driven products. You will lead a cross-functional team of AI researchers, engineers, and data scientists to develop scalable generative AI solutions that align with organizational goals. Key Responsibilities: Lead the development and deployment of generative AI models (e.g., GPT, diffusion models, transformers) across various business units. Define the AI strategy focusing on generative models to enhance product offerings, customer experience, and operational efficiency. Collaborate with business leaders and technology teams to identify high-impact use cases and translate them into AI solutions. Oversee research and experimentation to stay ahead of advancements in generative AI and related technologies. Manage, mentor, and grow a high-performing team of AI specialists, fostering innovation and technical excellence. Ensure ethical AI practices, data privacy, and compliance in all generative AI projects. Drive AI infrastructure development and integration with existing technology platforms. Present technical insights and strategic recommendations to C-suite executives and stakeholders. Build partnerships with external AI vendors, academic institutions, and industry consortia. Qualifications: Master's or PhD in Computer Science, AI, Machine Learning, or related technical field. 10+ years of experience in AI/ML, with at least 5 years focused on generative AI technologies. Proven track record in leading AI teams and delivering large-scale generative AI projects. Deep knowledge of generative AI architectures such as transformers, GANs, VAEs, diffusion models, etc. Strong programming skills in Python, TensorFlow, PyTorch, or similar frameworks. Experience with cloud AI services (AWS Sagemaker, Azure AI, Google AI) and scalable deployment. Strong business acumen and ability to translate AI capabilities into measurable business outcomes. Excellent leadership, communication, and stakeholder management skills. Understanding of AI ethics, fairness, and regulatory considerations. Preferred Skills: Experience in NLP, computer vision, or multimodal generative models. Familiarity with large language models (LLMs) like GPT-4, PaLM, or similar. Background in product innovation or AI-driven transformation initiatives. Exposure to Agile and DevOps practices for AI/ML workflows.

Educational Requirements Master Of Engineering,Master Of Science,Master Of Technology,Bachelor Of Comp. Applications,Bachelor Of Science,Bachelor of Engineering,Bachelor Of Technology Service Line Cloud & Infrastructure Services Responsibilities As an Infra AI Automation Programmer you will work on design, development, and deployment of AI systems that generate content or data, often using techniques such as deep learning, neural networks, and generative models using Python backend coding. Meet with clients in and remotely to understand their business objectives, challenges, and identify potential use cases for Generative AI. Assess the client's existing technology infrastructure, data landscape, and AI maturity to determine the feasibility and best approaches for Gen AI adoption. Conduct workshops and discovery sessions to brainstorm Gen AI applications across various business functions (e.g., content creation, customer service, product development, marketing).Gen AI Strategy and Solution Design: Develop tailored Gen AI strategies and roadmaps for clients in outlining specific use cases, implementation plans, and expected business outcomes. Design Gen AI solutions architecture, considering factors such as model selection (e.g., large language models (LLMs), diffusion models), data requirements, integration with existing systems, and scalability. Evaluate and recommend appropriate Gen AI platforms, tools, and APIs (e.g., OpenAI, Google AI, Azure AI, open-source libraries) relevant to the client's needs and the Indian market. Advise on prompt engineering techniques to optimize the output and performance of Gen AI models for specific client applications. Additional Responsibilities: Besides the professional qualifications of the candidates, we place great importance in addition to various forms personality profile. These include: High analytical skills A high degree of initiative and flexibility High customer orientation High quality awareness Excellent verbal and written communication skills Technical and Professional Requirements: At least 2+ years of programming experience in Python Handson experience in working on Gen AI Handson experience in Tensorflow, Pytorch, Langchain and Prompt Engineering Experience with vector databases and retrieval-augmented generation (RAG). Familiarity with MLOps principles and tools for deploying and managing Gen AI models. Understanding of ethical considerations and responsible AI frameworks. Understanding of data structures, data modelling , SQL & NOSQL Object oriented and functional programming & GIT Knowledge of basic algorithms and object-oriented and functional design principles Deep Knowledge of Mathematics, Probability, Statistics, and Algorithms Good Communication skills Good analytical and problem-solving skills Preferred Skills: Technology->Machine Learning->TensorFlow Technology->Machine Learning->Python Technology->Machine Learning->Generative AI

Position Summary The AI Advisory Architect at HCLTech AI and Cloud Native Labs will need to have comprehensive and in-depth knowledge of Google AI and Cloud offerings. The role requires expertise in creating effective training programs and their content, manage training of candidates in cohorts, deliver high quality trainings on AI and related technologies and their applications to candidates from diverse backgrounds including developers and sales personnel. You will be an expert technical resource comfortable in engaging and influencing HCL leadership, clients, and technologists by leading in technical discussions on AI and GenAI. Key Responsibilities Technical Leadership Stay abreast of the latest developments in AI technologies and methodologies. Demonstrate thought leadership when presenting AI and GenAI concepts and technologies in trainings and to client leadership effectively with audience from wide backgrounds. Lead technical discussions on AI and Gen AI to advise and influence HCL leadership and clients. Collaborate with global peers from Google and other partner ecosystems (Intel, NVIDIA etc.) on joint technical projects. Contribute to the technical delivery of projects, ensuring a high quality of work that adheres to best practices, bring innovative approaches, and meets client expectations. Service Delivery and Innovation Provide consulting and advisory services to Clients and Internal stakeholders about AI and Gen AI technologies. Design training programs on GenAI concepts and technologies and create their content. Plan, Manage and Execute trainings in cohorts and effectively present AI concepts and technologies to wide range of audiences according to their objectives. Provide expert training to HCL employees as well as external clients, focusing on practical applications of AI in real-world scenarios. Educate sales teams on AI concepts and technologies, enabling them to better understand and sell AI and GenAI solutions. Thought Leadership and Trainings Demonstrate HCL thought leadership with an expert understanding of advanced AI and GenAI solutions in client engagements and trainings. Publish content (whitepapers, blogs, e-books etc.) demonstrating expertise and innovation in the AI and GenAI solutions. Design and develop structure and content for comprehensive programs on AI and related technologies. Manage training cohorts and conduct sessions for training programs on AI and related technologies for audience with diverse backgrounds. Skills and Experience Mandatory Bachelor level technical degree or equivalent experience; Computer Science, Data Science, or Engineering background preferred. Experience: 8+ years in AI and Machine Learning • At least one Google Cloud and AI certifications • Technologies: Good exposure to Python and AI Frameworks like PyTorch, Keras, TensorFlow, Google Generative AI etc. Expert understanding of Google AI and Cloud Offerings and their applications. o Strong foundation in AI concepts and related topics such as AI Governance and Ethics o Exposure Data Engineering skills for preparing data for use in AI solutions and Big Data technologies like Hadoop, Spark etc. Must have experience with designing, developing, testing, deploying, operating, and optimizing AI solutions for wide range of client use cases. Expert communication and presentation skills, capable of presenting and influencing large audiences in training sessions, seminars, and conferences as well as high level executives. Desired The ideal candidate will have a strong background in AI technologies, and a proven track record in coaching, and a broad understanding of cloud technologies. Ability to develop and communicate a strategic vision for AI education and training. Excellent problem-solving skill and ability to work in team environment. Understanding of modern computing paradigms and their applications in AI. Ability to develop and communicate a strategic vision for AI education and training. Be capable of working in projects according to Agile methodologies. Soft Skills and Behavioural Competencies Exemplary communication and leadership skills, capable of inspiring teams and making strategic decisions that align with business goals. Demonstrates a strong customer orientation, innovative problem-solving abilities, and effective crosscultural collaboration. Adept at driving organizational change and fostering a culture of innovation.

Lead generative AI business automation solutions. Integrate AI for automated invoicing & logistics. Assist with .NET code for case management system development. Develop webpages (landing pages). Create promotional image & structural designs. Required Candidate profile AI Architect: Azure/Google AI, document/multi-modal/image analysis. RAG pipelines, prompt engineering. Collaborates on scalable AI. Integrates proprietary tools. API mgmt (Apigee), security/governance