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ai content expert

Amazon

<div>
 
 Description
 
 
 
 Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. This is a fixed term contractual role for 12 months.
 
 
 Key job responsibilities
 
 
 As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data.
 
 
 <ul>
 <li>
 Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content
 </li>
 <li>
 Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines
 </li>
 <li>
 Performing audits and quality checks of tasks completed by other specialists, if required
 </li>
 <li>
 Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks
 </li>
 <li>
 Diving deep into issues and implementing solutions independently
 </li>
 <li>
 Identifying and reporting tooling bugs and suggesting improvements
 
 
 </li>
 </ul>
 A day in the life
 
 
 We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data.
 
 
 Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers&rsquo; lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial.
 
 
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in a relevant field or equivalent professional experience
 </li>
 <li>
 2+ year of experience working with written language data, including experience with annotation, and other forms of data markup.
 </li>
 <li>
 Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism.
 </li>
 <li>
 Excellent attention to details and ability to focus for a long period of time
 </li>
 <li>
 Ability to effectively write and evaluate diverse subject matter across various domains*
 </li>
 <li>
 Ability to adapt writing style to suit various style guidelines and customers.
 </li>
 <li>
 Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale).
 </li>
 <li>
 Experience with creating complex data for LLM training and evaluation
 </li>
 <li>
 Strong understanding of U.S.-based culture, society, and norms.
 </li>
 <li>
 Comfortable with high-school level STEM*
 </li>
 <li>
 Familiarity with common markup languages such as HTML, XML, Markdown
 </li>
 <li>
 Familiarity with common standard text formats such as JSON, CSV, RTF
 </li>
 <li>
 Working knowledge of Python or another scripting language
 </li>
 <li>
 Familiarity with regular expressions syntax
 </li>
 <li>
 Familiarity with Large Language Models
 </li>
 <li>
 Comfort in annotation work that may include sensitive content
 
 
 </li>
 </ul>
 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 
 
 
 
 Company
 
 - ADCI HYD 16 SEZ - H83
 
 
 Job ID: A3105153
</div>

AI Content Expert

Turing

<div>
 
 
 About the Role:
 
 
 
 We&rsquo;re hiring a
 
 Business Analyst
 
 to manage and mentor a team of analysts creating business-focused content to improve AI models. You&rsquo;ll combine leadership, quality oversight, and subject expertise in MBA-relevant domains to ensure outputs are accurate, logically sound, and aligned with project goals. This role is ideal for someone who enjoys people management, operational excellence, and shaping high-quality analytical content.
 
 No prior AI experience is required for this role.
 
 
 
 
 
 
 
 What You&rsquo;ll Do:
 
 
 <ul>
 <li>
 Lead and mentor a team of Business Analysts/Content Specialists.
 </li>
 <li>
 Allocate tasks, oversee workflows, and ensure timely, high-quality delivery.
 </li>
 <li>
 Conduct QA reviews, refine processes, and improve team efficiency.
 </li>
 <li>
 Provide performance feedback, training, and career development.
 </li>
 <li>
 Act as the primary stakeholder contact, sharing regular project updates.
 </li>
 <li>
 Guide creation of case studies, scenarios, and structured business content (finance, policy, e-commerce, etc.).
 </li>
 </ul>
 
 
 
 
 
 What We&rsquo;re Looking For:
 
 
 <ul>
 <li>
 2+ years of team management experience.
 </li>
 <li>
 3&ndash;6 years in business analysis, consulting, content, or domain-focused projects.
 </li>
 <li>
 Strong analytical, logical, and communication skills.
 </li>
 <li>
 Proficiency in structured file formats (TSV, JSON, HTML, XML, Markdown).
 </li>
 <li>
 
 No prior AI experience is required
 
 </li>
 <li>
 Bonus: prior work on LLM performance data, case study writing, or academic/research content.
 </li>
 <li>
 Full-time commitment (40 hrs/week); immediate joiners preferred.
 </li>
 </ul>
 
 
 
 
 
 Why Join Us:
 
 
 <ul>
 <li>
 Competitive pay and flexible remote work.
 </li>
 <li>
 Lead a team working on cutting-edge AI projects.
 </li>
 <li>
 Exposure to advanced LLMs and how they&rsquo;re trained.
 </li>
 <li>
 Freelance perks: autonomy, flexibility, and global collaboration.
 </li>
 <li>
 Potential for contract extension.
 </li>
 </ul>
 
 
 
 
 
 Offer Details:
 
 
 <ul>
 <li>
 Commitments Required: 40 hours per week with 4 hours of overlap with PST.
 </li>
 <li>
 Engagement type: Contractor assignment/freelancer (no medical/paid leave)
 </li>
 <li>
 Duration: 1 month.
 </li>
 </ul>
 
 
 
 
 
 Application Process:
 
 
 <ul>
 <li>
 Shortlisted candidates will be sent an automated challenge (60 mins).
 </li>
 <li>
 Once you clear the challenge, we will reach out to you for an interview.
 </li>
 <li>
 Once you clear the interview, you are ready to go!
 </li>
 </ul>
 
 
 
 
 
 About Turing:
 
 
 
 Turing, based in San Francisco, is the world&rsquo;s leading research accelerator for frontier AI labs and a trusted partner for global enterprises. We advance cutting-edge research with high-quality data, training pipelines, and top AI talent across coding, reasoning, STEM, multilinguality, multimodality, and agents. We also help enterprises turn AI from proof-of-concept into proprietary systems that deliver reliable performance, measurable impact, and real results on the P&amp;L.
 
</div>

Remote Business Analyst - 45430

Amgen

<div>
 Join Amgen's Mission to Serve Patients
 
 
 If you feel like you&rsquo;re part of something bigger, it&rsquo;s because you are. At Amgen, our shared mission&mdash;to serve patients&mdash;drives all that we do. It is key to our becoming one of the world&rsquo;s leading biotechnology companies. We are global collaborators who achieve together&mdash;researching, manufacturing, and delivering ever-better products that reach over 10 million patients worldwide. It&rsquo;s time for a career you can be proud of.
 
 
 
 Associate Software Engineer
 
 
 
 
 Live
 
 
 
 
 What You Will Do
 
 
 
 Let&rsquo;s do this. Let&rsquo;s change the world. In this vital role We are looking for a creative and technically skilled
 
 Associate Software Engineer
 
 to help design and build cutting-edge
 
 AI-powered solutions
 
 for the pharmaceutical industry. In this role, you'll develop intelligent systems that surface the most relevant insights from clinical trials, scientific literature, regulatory documents, and internal knowledge assets. Your work will empower researchers, clinicians, and decision-makers with faster, smarter access to the right information.
 
 
 <ul>
 <li>
 Design and implement search algorithms using NLP, machine learning, semantic understanding, and deep learning models
 </li>
 <li>
 Build and fine-tune models for information retrieval, query expansion, document ranking, summarization, and Q&amp;A systems
 </li>
 <li>
 Support integration of LLMs (e.g., GPT, BERT, BioBERT) for semantic and generative search.
 </li>
 <li>
 Train and evaluate custom models for biomedical named entity recognition, relevance ranking, and similarity search.
 </li>
 <li>
 Build and deploy vector-based search systems using embeddings and vector databases
 </li>
 <li>
 Work closely with platform engineers to integrate AI models into scalable cloud-based infrastructures (AWS, Azure, GCP)
 </li>
 <li>
 Package and deploy search services using containerization (Docker, Kubernetes) and modern MLOps pipelines.
 </li>
 <li>
 Preprocess and structure unstructured content such as clinical trial reports, research articles, and regulatory documents
 </li>
 <li>
 Apply knowledge graphs, taxonomies, and ontologies (e.g., MeSH, UMLS, SNOMED) to enhance search results
 </li>
 <li>
 Build and deploy recommendation systems models, utilize AIML infrastructure, and contribute to model optimization and data processing
 </li>
 <li>
 Experience in Generative AI on Search Engines
 </li>
 <li>
 Experience in integrating Generative AI capabilities and Vision Models to enrich content quality and user engagement. .
 </li>
 <li>
 Experience Generative AI tasks such as content summarization. deduping and metadata quality. Researching and developing advanced AI algorithms, including Vision Models for visual content analysis.
 </li>
 <li>
 Implementing KPI measurement frameworks to evaluate the quality and performance of delivered models, including those utilizing Generative AI.
 </li>
 <li>
 Developing and maintaining Deep Learning models for data quality checks, visual similarity scoring, and content tagging.
 </li>
 <li>
 Continually researching current and emerging technologies and proposing changes where needed.
 </li>
 <li>
 Implement GenAI solutions, utilize ML infrastructure, and contribute to data preparation, optimization, and performance enhancements.
 
 
 </li>
 </ul>
 
 Basic Qualifications:
 
 
 
 <ul>
 <li>
 Master&rsquo;s degree in computer science &amp; engineering preferred with 2-4years of software development experience OR,
 </li>
 <li>
 Bachelor&rsquo;s degree in computer science &amp; engineering preferred with 2-5years of software development experience
 </li>
 <li>
 1&ndash;3 years of experience building AI/ML models, ideally in search, NLP, or biomedical domains.
 </li>
 <li>
 Proficiency in Python and frameworks such as PyTorch, TensorFlow, Hugging Face Transformers
 </li>
 <li>
 Experience with search technologies like Elasticsearch, OpenSearch, or vector search tools
 </li>
 <li>
 Solid understanding of NLP techniques: embeddings, transformers, entity recognition, text classification
 </li>
 <li>
 Hands on experience with various AI models , GCP Search Engines, GCP Cloud services
 </li>
 <li>
 Proficient in programming language AI/ML, Python, , Java Crawlers ,Java Script, SQL/NoSQL , Databricks/RDS ,Data engineering ,S3 Buckets, dynamo DB
 </li>
 <li>
 Strong problem solving, analytical skills; Ability to learn quickly; Excellent communication and interpersonal skills
 
 
 </li>
 </ul>
 
 Preferred Qualifications:
 
 
 
 <ul>
 <li>
 Experience in AI/ML , Java, Python
 </li>
 <li>
 Experienced with Fast Pythons API, Graphql
 </li>
 <li>
 Experience with design patterns, data structures, data modelling, data algorithms
 </li>
 <li>
 Experienced with AWS /Azure Platform, Building an deploying the code
 </li>
 <li>
 Experience in Posgres SQL /Mongo DB SQL database, vector database for large language models, Databricks or RDS ,S3 Buckets
 </li>
 <li>
 Knowledge of LLMs, generative AI, and their use in enterprise search
 </li>
 <li>
 Experience in Google cloud Search and Google cloud Storage
 </li>
 <li>
 Experience with popular large language models
 </li>
 <li>
 Experience with Langchain or llamaIndex framework for language models
 </li>
 <li>
 Experience with prompt engineering, model fine tuning
 </li>
 <li>
 Knowledge of NLP techniques for text analysis and sentiment analysis
 </li>
 <li>
 Experience in Agile software development methodologies
 </li>
 <li>
 Experience in End to End testing as part of Test Driven Development
 
 
 </li>
 </ul>
 
 Good To Have Skills
 
 
 
 <ul>
 <li>
 Willingness to work on Full stack Applications
 </li>
 <li>
 Exposure to MLOps tools like MLflow, Airflow, or SageMaker
 
 
 </li>
 </ul>
 
 Soft Skills:
 
 
 
 <ul>
 <li>
 Excellent analytical and troubleshooting skills.
 </li>
 <li>
 Strong verbal and written communication skills.
 </li>
 <li>
 Ability to work effectively with global, remote teams.
 </li>
 <li>
 High degree of initiative and self-motivation.
 </li>
 <li>
 Ability to manage multiple priorities successfully.
 </li>
 <li>
 Team-oriented, with a focus on achieving team goals.
 </li>
 <li>
 Strong presentation and public speaking skills.
 
 
 </li>
 </ul>
 
 Thrive
 
 
 
 
 What You Can Expect Of Us
 
 
 
 As we work to develop treatments that take care of others, we also work to care for our teammates&rsquo; professional and personal growth and well-being.
 
 
 In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.
 
 
 
 Apply now
 
 
 
 
 for a career that defies imagination
 
 
 
 In our quest to serve patients above all else, Amgen is the first to imagine, and the last to doubt. Join us.
 
 
 
 careers.amgen.com
 
 
 
 Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.
 
 
 We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.
</div>

Associate software engineer

NxtWave

<div>
 
 
 Generative AI Instructor
 
 
 
 We are seeking an experienced and passionate
 
 Generative AI Instructor
 
 to educate and empower aspiring developers, data scientists, and business professionals in the rapidly evolving field of Generative AI (GenAI). The ideal candidate will have 1-3 years of technical experience in
 
 Machine Learning (ML)
 
 , with significant
 
 hands-on experience
 
 in developing, training, and deploying generative models.
 
 
 This role is critical in bridging the gap between foundational AI/ML knowledge and practical, real-world Generative AI application development.
 
 
 
 
 
 
 
 
 
 Roles &amp; Responsibilities
 
 
 <ul>
 <li>
 
 Conduct Structured Training:
 
 Design and lead comprehensive training programs on the theory, implementation, and application of Generative AI technologies, including
 
 Large Language Models (LLMs)
 
 ,
 
 Generative Adversarial Networks (GANs)
 
 , and
 
 Diffusion Models
 
 .
 </li>
 <li>
 
 Curriculum Development:
 
 Create and update high-quality learning materials, hands-on labs, guided projects, assignments, and assessments to ensure a cutting-edge and effective learning experience.
 </li>
 <li>
 
 Core Concept Instruction:
 
 Teach fundamental concepts such as
 
 deep learning architectures
 
 (Transformers, VAEs),
 
 prompt engineering
 
 ,
 
 model fine-tuning (e.g., LoRA)
 
 ,
 
 transfer learning
 
 , and
 
 ethical AI
 
 principles.
 </li>
 <li>
 
 Project Mentorship:
 
 Guide learners in building practical GenAI applications across various modalities, such as
 
 text generation (chatbots, summarization)
 
 ,
 
 image/video synthesis
 
 , and
 
 code generation
 
 .
 </li>
 <li>
 
 Technical Support &amp; Review:
 
 Review learner code, troubleshoot complex technical implementations, and provide one-on-one technical mentorship.
 </li>
 <li>
 
 Stay Current:
 
 Maintain deep expertise in the latest GenAI research, open-source models, frameworks, and cloud services.
 </li>
 <li>
 
 Facilitate Interactive Learning:
 
 Host live coding sessions, practical workshops, and in-depth Q&amp;A/debugging sessions.
 </li>
 <li>
 
 Adapt Pedagogy:
 
 Adjust teaching methodology and content based on the learners' technical background, ranging from foundational Python/ML knowledge to advanced Generative AI development.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Technology-Specific Responsibilities
 
 
 
 
 Generative Model Theory &amp; Implementation:
 
 
 <ul>
 <li>
 Teach the underlying principles of
 
 LLMs, GANs, and VAEs/Diffusion Models
 
 .
 </li>
 <li>
 Guide implementation of generative models using frameworks like
 
 PyTorch
 
 or
 
 TensorFlow/Keras
 
 .
 </li>
 </ul>
 
 
 Large Language Models (LLMs) &amp; APIs:
 
 
 <ul>
 <li>
 Instruct on working with
 
 commercial APIs
 
 (OpenAI, Gemini, Anthropic) and
 
 open-source models
 
 (Hugging Face ecosystem).
 </li>
 <li>
 Cover techniques for
 
 prompt optimization, system-level instructions, function calling/tool use
 
 , and
 
 managing token usage/cost
 
 .
 </li>
 <li>
 Train on advanced techniques like
 
 Retrieval-Augmented Generation (RAG)
 
 and
 
 parameter-efficient fine-tuning (PEFT/LoRA)
 
 .
 </li>
 </ul>
 
 
 Multimodal Generative AI:
 
 
 <ul>
 <li>
 Provide training on image generation, manipulation, and video synthesis using models like
 
 Stable Diffusion
 
 or equivalent, including concepts like
 
 inpainting
 
 and
 
 ControlNet
 
 .
 </li>
 <li>
 Explore code generation and pair programming use cases with GenAI tools.
 </li>
 </ul>
 
 
 Deployment &amp; MLOps:
 
 
 <ul>
 <li>
 Instruct on model serialization, versioning, and deployment strategies for generative models using platforms like
 
 Hugging Face Hub
 
 ,
 
 Docker
 
 , and cloud AI services.
 </li>
 <li>
 Emphasize
 
 cost-efficient scaling
 
 and
 
 real-time inference
 
 .
 </li>
 </ul>
 
 
 Responsible AI &amp; Ethics:
 
 
 <ul>
 <li>
 Dedicate modules to the ethical implications of GenAI, focusing on
 
 bias detection/mitigation
 
 ,
 
 content moderation
 
 ,
 
 safety alignment
 
 , and
 
 data privacy/copyright
 
 considerations.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 
 1-3 years of professional experience
 
 in Python programming and Machine Learning/Deep Learning.
 </li>
 <li>
 
 Demonstrable practical experience
 
 in building, training, and deploying Generative AI models (LLMs, GANs, VAEs, or Diffusion Models).
 </li>
 <li>
 Expertise in at least one major deep learning framework (
 
 PyTorch
 
 or
 
 TensorFlow/Keras
 
 ).
 </li>
 <li>
 Strong understanding of
 
 LLM architectures (e.g., Transformer)
 
 ,
 
 embeddings
 
 , and
 
 vector databases
 
 for RAG.
 </li>
 <li>
 Exceptional written and verbal communication skills, with a proven ability to mentor and explain complex technical concepts to diverse audiences.
 </li>
 </ul>
 
 
 Preferred Skills
 
 
 <ul>
 <li>
 Experience with advanced LLM frameworks like
 
 LangChain, LlamaIndex, or Haystack
 
 .
 </li>
 <li>
 Familiarity with cloud-based AI/ML platforms (AWS SageMaker, Google Vertex AI, Azure ML).
 </li>
 <li>
 Prior experience in a technical training, teaching, or mentorship role.
 </li>
 <li>
 Experience with
 
 MLOps tools
 
 for generative models (e.g., weights &amp; biases, MLflow).
 </li>
 <li>
 Working knowledge of deploying AI applications using
 
 FastAPI, Streamlit, or Gradio
 
 .
 </li>
 </ul>
 
 
</div>

GEN AI Instructor

SciTech Patent Art Services Private Limited

<div>
 
 About SciTech Patent Art
 
 
 
 At SciTech Patent Art (SPA), we are pioneers in patent analytics, technology intelligence, and business research. Our teams blend scientific expertise with data analytics to deliver world-class insights for global clients. Join us and be part of a growing organisation where innovation, collaboration, and continuous learning are at the heart of everything we do.
 
 
 
 Role Overview
 
 
 
 We are seeking a smart and enthusiastic market research intern/trainee who is passionate about digital tools, research, and marketing. This role is ideal for freshers excited to work on real-time projects that combine market intelligence, digital marketing, and Generative AI technologies.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Conduct detailed market and company research using proprietary tools and online resources
 </li>
 <li>
 Identify and build a high-quality database of prospective clients relevant to SciTech&rsquo;s services
 </li>
 <li>
 Assist in planning and executing digital marketing campaigns to enhance lead generation and brand visibility
 </li>
 <li>
 Utilise Gen AI tools (e.g., ChatGPT, Jasper, DALL&middot;E) to create content, analyse trends, and optimise communication
 </li>
 <li>
 Monitor SEO performance, optimise keywords/meta-tags, and contribute to the firm&rsquo;s digital presence
 </li>
 <li>
 Prepare dashboards and performance reports using Google Analytics, Excel, PowerPoint, or AI tools
 </li>
 <li>
 Collaborate with internal teams on website enhancement, marketing content, and user experience
 </li>
 <li>
 Analyse campaign performance and recommend improvements using data insights
 </li>
 <li>
 Stay current with emerging tools and trends in AI, marketing automation, and digital media
 
 
 </li>
 </ul>
 About Company: When you come to work with us, you will be joining a team of dedicated professionals who are working with international clients on cutting-edge innovations. Our workforce is highly energetic, professional, and friendly. You will learn what IP means, how to use freely available and proprietary search tools, how to use spreadsheets to conduct analytics and dig out insights, what the latest innovations in various disciplines are, and, more importantly, how to have fun with professionals who look like you and have similar aspirations. While we do our level best to retain talent, we are also proud of our alumni who have moved on to work at various globally reputed organizations in critical roles.
</div>

Digital Marketing Trainee in Hyderabad

Google

<div>
 
 Minimum qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's degree or equivalent practical experience.
 </li>
 <li>
 10 years of experience in product management or related technical role.
 </li>
 <li>
 5 years of experience taking technical products from conception to launch.
 </li>
 <li>
 Experience working with cross-functional teams (e.g., Engineering, UX/UI, Program Management, etc.).
 
 
 </li>
 </ul>
 
 Preferred qualifications:
 
 
 
 <ul>
 <li>
 Master's degree in a technology or business related field.
 </li>
 <li>
 Experience driving elements of the product development life-cycle such as product outlook, go-to-market strategy, driving requirements, and product launch.
 </li>
 <li>
 Experience in a role preparing and delivering technical presentations to the leadership.
 
 
 </li>
 </ul>
 
 About the job
 
 At Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day.
 
 
 In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development.
 
 
 One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users.
 
 
 You will lead efforts to apply AI in solving real-world challenges across critical and ever-changing sectorsGoogle aims to build products that organize the world's information and make it universally accessible to our users. As a Product Manager at Google, you could be working on new technologies, platforms, consumer facing products, and/or enterprise systems. The end goal will be to match you with the team that best aligns with your interests, experience, and where you will have the most impact.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Build and mentor a team of HR Engineering (HRE) Product Managers, fostering product development.
 </li>
 <li>
 Establish a multi-year direction and road-map for new AI-powered HR products, aligning with leadership.
 </li>
 <li>
 Serve as the central product leader for the AI Garage, aligning teams like Business, Engineering, and HR.
 </li>
 <li>
 Manage the entire product life-cycle from concept to adoption for the AI HR portfolio, establishing success metrics and delivering improvements in Googler productivity and organizational efficiency.
 </li>
 <li>
 Advocate the potential of Agentic and Generative AI across the organization, serving as the domain expert and representative for AI within HR.
 
 
 
 </li>
 </ul>
 Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
</div>

Group Product Manager, AI Accelerator

<div>
 Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
 
 Bengaluru, Karnataka, India; Hyderabad, Telangana, India
 
 .
 
 Minimum qualifications:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree or equivalent practical experience.
 </li>
 <li>
 1 year of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
 
 
 </li>
 </ul>
 
 Preferred qualifications:
 
 
 
 <ul>
 <li>
 Master's degree or PhD in Computer Science or related technical field.
 </li>
 <li>
 Experience developing accessible technologies.
 
 
 </li>
 </ul>
 
 About The Job
 
 
 
 Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google&rsquo;s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
 
 
 With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.
 
 
 The AI and Infrastructure team works on the world&rsquo;s toughest problems, redefining what&rsquo;s possible and the possible easy. We empower Google customers by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Googler Cloud customers, and billions of Google users worldwide. We&rsquo;re at the center of amazing work at Google by being the &ldquo;flywheel&rdquo; that enables our advanced AI models, delivers computing power across global services, and offers platforms that developers use to build services.
 
 
 In AI and Infrastructure, we shape the future of hyperscale computing by inventing and creating world-leading future technology, and drive global impact by contributing to Google infrastructure, from software to hardware (including building Vertex AI for Google Cloud). We work on complex technologies at a global scale with key players in the AI and systems space. Join a team of talented individuals who not only work together to keep data centers operating efficiently but also create a legacy of driving innovation by building some of the most complex systems technologies.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Write product or system development code.
 </li>
 <li>
 Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
 </li>
 <li>
 Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
 </li>
 <li>
 Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
 </li>
 <li>
 Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
 
 
 
 </li>
 </ul>
 Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
</div>

Software Engineer II, Google Cloud

Explore 114+ Ai content expert in Hyderabad this October. Find roles across top companies and apply now to boost your career.