87 Claude Jobs

You will be joining as a Go-To-Market Strategy & AI Enablement Intern with the opportunity for a full-time role based on performance. The internship will be located in Marathahalli, Bangalore, with the option to work from the office. The duration of the internship is 36 months, with a potential for conversion to a full-time position. Your working hours will be from Monday to Saturday, with alternative Saturdays off, from 10:30 AM to 7:30 PM. During the internship period, you will receive a fixed stipend of 15,000 per month. Post-internship, the compensation can go up to CTC 4,50,000 per annum, depending on your performance and final evaluation. As a Go-To-Market Strategy & AI Enablement Intern, you will be responsible for supporting the design and implementation of go-to-market strategies. You will utilize AI tools such as ChatGPT, Claude, Gemini, Perplexity, Midjourney, DALLE, among others, for research, competitor analysis, and content creation. Conducting detailed market research, customer profiling, creating presentations, and assisting in digital marketing activities will also be part of your role. Additionally, you will identify AI-driven optimizations for GTM processes and stay updated on AI and digital marketing trends. The ideal candidate should possess practical knowledge of AI tools, a basic understanding of digital marketing, strong presentation and communication skills, a research-oriented mindset, and familiarity with social media platforms and digital content strategy. This opportunity is open to graduates and master's students in Business, Marketing, AI/Tech, or related fields. Joining this role will provide you with hands-on experience in go-to-market strategy and digital marketing, the opportunity to apply advanced AI tools in real business scenarios, a clear path to transition into a full-time position, and the chance to work closely with experienced teams in product, marketing, and business strategy.,

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. We are looking to hire individuals with strong AI Enabled Automation skills who are interested in applying AI in the process automation space using technologies such as Azure, AI, ML, Deep Learning, NLP, GenAI, large Lang Models (LLM), RAG, Vector DB, Graph DB, and Python. Responsibilities: - Development and implementation of AI enabled automation solutions, ensuring alignment with business objectives. - Design and deploy Proof of Concepts (POCs) and Points of View (POVs) across various industry verticals to demonstrate the potential of AI enabled automation applications. - Ensure seamless integration of optimized solutions into the overall product or system. - Collaborate with cross-functional teams to understand requirements, integrate solutions into cloud environments (Azure, GCP, AWS, etc.), and ensure alignment with business goals and user needs. - Educate the team on best practices and keep updated on the latest tech advancements to bring innovative solutions to the project. Technical Skills Requirements: - 9 to 13 years of relevant professional experience. - Proficiency in Python and frameworks like PyTorch, TensorFlow, Hugging Face Transformers. - Strong foundation in ML algorithms, feature engineering, and model evaluation (Must). - Strong foundation in Deep Learning, Neural Networks, RNNs, CNNs, LSTMs, Transformers (BERT, GPT), and NLP (Must). - Experience in GenAI technologies such as LLMs (GPT, Claude, LLaMA), prompting, fine-tuning. - Experience with LangChain, LlamaIndex, LangGraph, AutoGen, or CrewAI (Agentic Framework). - Knowledge of retrieval augmented generation (RAG) and Knowledge Graph RAG. - Experience with multi-agent orchestration, memory, and tool integrations. - Experience/implement MLOps practices and tools (CI/CD for ML, containerization, orchestration, model versioning, and reproducibility) Good to have. - Experience with cloud platforms (AWS, Azure, GCP) for scalable ML model deployment. - Good understanding of data pipelines, APIs, and distributed systems. - Build observability into AI systems latency, drift, performance metrics. - Strong written and verbal communication, presentation, client service, and technical writing skills in English for both technical and business audiences. - Strong analytical, problem-solving, and critical thinking skills. - Ability to work under tight timelines for multiple project deliveries. What we offer: At EY GDS, we support you in achieving your unique potential both personally and professionally. We give you stretching and rewarding experiences that keep you motivated, working in an atmosphere of integrity and teaming with some of the world's most successful companies. While we encourage you to take personal responsibility for your career, we support you in your professional development in every way we can. You enjoy the flexibility to devote time to what matters to you, in your business and personal lives. At EY, you can be who you are and express your point of view, energy, and enthusiasm, wherever you are in the world. It's how you make a difference. EY | Building a better working world: EY exists to build a better working world, helping to create long-term value for clients, people, and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform, and operate. Working across assurance, consulting, law, strategy, tax, and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.,

The AI Generalist position at Vallaham is ideal for a proactive problem solver with a passion for experimentation and automation. As an AI Generalist, you will collaborate with leadership and operations teams across various business units to identify and address repetitive or complex business challenges through the implementation of AI-powered solutions. Your key responsibilities will include understanding operational pain points in each business unit, prototyping and deploying AI or automation solutions using tools like ChatGPT, Claude, Make, Zapier, and Notion, creating and maintaining chatbots or AI assistants tailored to specific use cases, training internal teams on the effective and responsible use of AI tools, analyzing workflows for process optimization through AI, APIs, or no-code tools, staying updated on emerging AI trends and tools, and tracking the ROI and adoption of implemented solutions. We are looking for a candidate who is a curious and creative thinker, capable of context-switching across different industries, possesses a hands-on mindset with a rapid prototyping approach, and is an effective communicator with both technical and non-technical teams. Preferred qualifications for this role include a Bachelor's degree in Engineering, Computer Science, Business, or related fields, experience with AI tools and no-code automation platforms, prior exposure to marketing, travel, construction, or F&B industries, and comfort with data such as spreadsheets, dashboards, and integrations. Joining Vallaham will provide you with the opportunity to work across diverse industries, directly impact real business operations, experience a culture that encourages experimentation, fast learning, and autonomy, and gain exposure to leadership and strategic decision-making. To apply for this position, please send your resume, portfolio (if applicable), and a brief cover letter outlining why you are a great fit for the role to hr@vallaham.com or 9585811433.,

Responsibilities Design and fine-tune LLMs (Large Language Models) for BFSI use-cases: intelligent document processing, report generation, chatbots, advisory tools. Evaluate and apply prompt engineering, retrieval-augmented generation (RAG), and fine-tuning methods. Implement safeguards, red-teaming, and audit mechanisms for LLM usage in BFSI. Work with data privacy, legal, and compliance teams to align GenAI outputs with industry regulations. Collaborate with enterprise architects to integrate GenAI into existing digital platforms. Qualifications 35 years in AI/ML; 13 years hands-on in GenAI/LLM-based solutions. BFSI-specific experience in document processing, regulatory reporting, or virtual agents using GenAI is highly preferred. Exposure to prompt safety, model alignment, and RAG pipelines is critical. Essential Skills Tech Stack LLMs: GPT (OpenAI), Claude, LLaMA, Mistral, Falcon Tools: LangChain, LlamaIndex, Pinecone, Weaviate Frameworks: Transformers (Hugging Face), PEFT, DeepSpeed APIs: OpenAI, Cohere, Anthropic, Azure OpenAI Cloud: GCP GenAI Studio, GCP Vertex AI Others: Prompt engineering, RAG, vector databases, role-based guardrails Experience 35 years in AI/ML; 13 years hands-on in GenAI/LLM-based solutions. Show more Show less

About Adda Education At Adda Education , we are committed to transforming the way educational content is created and delivered. As one of Indias leading EdTech platforms, we build engaging, curriculum-aligned learning experiences that help millions of students across the country. Our focus is on creating high-impact contentsmartly structured, creatively delivered, and designed for scale across platforms. About The Role Were looking for a dynamic and driven Content Writer Intern whos excited about AI, education, and storytelling . We&aposre seeking passionate AI Content writers with a creative spark and an AI-first mindset to own and elevate our AI-driven content creation. This role is ideal for someone who wants to blend creativity with technology , using generative AI tools and prompt engineering to craft impactful educational content.. Work with our team to scale impactful learning experiences and help shape the future of AI-powered education at Adda. What Youll Do- Own the AI Content Workflow: Take full ownership of the end-to-end process for generating, verifying, and optimizing AI-powered content using our proprietary AI Content Engine & Verification Platform. Write clear, compelling, and structured educational content across subjects. Leverage LLM tools (like ChatGPT, Claude, Gemini) to ideate and accelerate writing. Collaborate with content & AI teams to develop scripts, blogs, quiz-based content, and more. Experiment with prompt writing and contribute to our AI-content workflows. Assist in scaling content campaigns that engage and educate. Bridge Consumption and Generation Gaps: Develop AI-first content writing to scale content production 10x or more, drawing insights from industry benchmarks to fuel user growth and competitiveness. Qualifications:- Creative Lens: Strong sense of what constitutes high-engagement content (e.g. on social media, blogs, videos). Content Creation Experience: Demonstrated experience in content generationeither through professional work, personal projects, or as an active content creator/influencer on platforms like YouTube, Instagram, or LinkedIn. This ensures you deeply understand audience psychology, content virality, and storytelling. Analytical Thinker: Ability to spot trends, analyze gaps in content ecosystems, and apply insights to drive innovation. Basic understanding of Generative AI tools and content automation. Familiarity or interest in prompt engineering and workflow tools like Notion/Google Docs. Creative thinking and a knack for presenting complex topics in simple language. Self-starters who are eager to learn, iterate, and innovate. Female candidates are highly welcome. Apply Now : https://docs.google.com/forms/d/1NYBrjuLbCAOw7_puEiEo8NROZvh1eqJuqfuCAJsGGQc/edit Show more Show less

Why This Role Rocks (Hard) This isnt just about writing stuff. This is where your words shift opinions, spark conversations, and shape culture. As a Junior Copywriter at FCB Kinnect, youll turn briefs into bold ideas, punchlines into campaigns, and scrolls into saves. From captions to campaigns, youll be the voice that helps brands matter in the moment. If youve ever looked at an ad and thought, I could write that betterwere saving you a seat. The Kind of Impact Youll Make Bring brand stories to life with copy that clicksacross digital, print, social, film, and whatevers next Co-create with designers and art directors to craft campaigns from that first scribble to the final post Turn briefs into breakthroughs, finding the perfect line that cuts through the noise Present ideas with confidence, take feedback like a pro, and always level up the work Stay tapped into pop culture, trends, memes, and platform shiftsso your words always feel now Write to get results: clicks, laughs, shares, sign-upswhatever the brief demands The Skills That Seal the Deal 01 year of copywriting experience in a creative/digital agency setup A sharp pen, sharper instinctsand a portfolio that shows range, relevance, and originality Comfortable using GenAI tools (like GPT-4o, Claude, Meta AI etc.) to ideate faster and work smarter without losing your unique voice You get tone and timingwriting for Instagram isnt the same as scripting a reel or crafting a banner Youre at home in brainstorms, team huddles, and client roomsyou listen, speak up, and collaborate with ease Solutions-focused, feedback-friendly, and always looking for that extra layer of magic Show more Show less

As an AI Content Specialist, you will play a crucial role in developing and refining our content strategy by leveraging AI to enhance our content creation processes. Your passion for creating high-quality content and expertise in AI content generation tools will be instrumental in ensuring accuracy, relevance, and originality. Your responsibilities will include developing and creating compelling content across various platforms and formats using generative AI tools effectively. Conducting thorough research on industry trends, topics, and competitor activities will inform our content strategy and ensure its accuracy. You will also edit and refine AI-generated content to meet quality standards, brand voice guidelines, and SEO best practices. To excel in this role, you should have proven experience in content creation, showcasing excellent video editing and generative AI skills. Hands-on experience with tools like Adobe Premiere Pro, After Effects, Midjourney, Claude, and Replicate will be beneficial. Your understanding of AI content generation tools and their capabilities is essential, along with exceptional research abilities to acquire and synthesize information from diverse sources quickly. Being a quick learner who adapts to new technologies and industry landscapes, you will stay updated with the latest advancements in AI content technology and recommend new tools and strategies. Collaboration with cross-functional teams to understand content needs and deliver impactful solutions is key. You will also ensure that all content adheres to ethical guidelines, avoiding plagiarism or misinformation. Your strong analytical skills, communication, and collaboration abilities will be essential in interpreting data and making informed content decisions. With a keen eye for detail and a commitment to producing high-quality work, you will thrive in this dynamic role as an AI Content Specialist.,

You will be working as an AI Platform Engineer in Bangalore as part of the GenAI COE Team. Your key responsibilities will involve developing and promoting scalable AI platforms for customer-facing applications. It will be essential to evangelize the platform with customers and internal stakeholders, ensuring scalability, reliability, and performance to meet business needs. Your role will also entail designing machine learning pipelines for experiment management, model management, feature management, and model retraining. Implementing A/B testing of models and designing APIs for model inferencing at scale will be crucial. You should have proven expertise with MLflow, SageMaker, Vertex AI, and Azure AI. As an AI Platform Engineer, you will serve as a subject matter expert in LLM serving paradigms, with in-depth knowledge of GPU architectures. Expertise in distributed training and serving of large language models, along with proficiency in model and data parallel training using frameworks like DeepSpeed and service frameworks like vLLM, will be required. Demonstrating proven expertise in model fine-tuning and optimization techniques to achieve better latencies and accuracies in model results will be part of your responsibilities. Reducing training and resource requirements for fine-tuning LLM and LVM models will also be essential. Having extensive knowledge of different LLM models and providing insights on their applicability based on use cases is crucial. You should have proven experience in delivering end-to-end solutions from engineering to production for specific customer use cases. Your proficiency in DevOps and LLMOps practices, along with knowledge of Kubernetes, Docker, and container orchestration, will be necessary. A deep understanding of LLM orchestration frameworks such as Flowise, Langflow, and Langgraph is also required. In terms of skills, you should be familiar with LLM models like Hugging Face OSS LLMs, GPT, Gemini, Claude, Mixtral, and Llama, as well as LLM Ops tools like ML Flow, Langchain, Langraph, LangFlow, Flowise, LLamaIndex, SageMaker, AWS Bedrock, Vertex AI, and Azure AI. Additionally, knowledge of databases/data warehouse systems like DynamoDB, Cosmos, MongoDB, RDS, MySQL, PostGreSQL, Aurora, and Google BigQuery, as well as cloud platforms such as AWS, Azure, and GCP, is essential. Proficiency in DevOps tools like Kubernetes, Docker, FluentD, Kibana, Grafana, and Prometheus, along with cloud certifications like AWS Professional Solution Architect and Azure Solutions Architect Expert, will be beneficial. Strong programming skills in Python, SQL, and Javascript are required for this full-time role, with an in-person work location.,

As a highly skilled and experienced Generative AI Developer, you will be responsible for designing, developing, and implementing generative AI models using state-of-the-art techniques. Your role will involve collaborating with cross-functional teams to define project goals, research requirements, and develop innovative solutions. It will be crucial to optimize model performance through experimentation, hyperparameter tuning, and advanced optimization techniques. Your expertise in generative AI Models, Frameworks, and techniques will be essential in applying them to develop innovative solutions. You will have hands-on exposure to integrating at least one of the popular LLM API endpoints such as OpenAI, Claude, Mistral. Additionally, your proven track record of working in cloud computing environments will enable you to deploy and manage machine learning models in the cloud effectively. Staying up-to-date on the latest advancements in generative AI, deep learning, and related fields will be vital for incorporating new techniques and methods into the team's workflow. Clear and concise documentation of generative AI models, processes, and results will be expected from you. Effective communication of complex concepts and results to both technical and non-technical stakeholders will play a key role in your responsibilities. Furthermore, you will provide support and guidance to other team members, contributing to a positive and collaborative working environment. Your qualifications should include a Bachelor's degree in computer science, artificial intelligence, or a related field, along with at least 2 years of relevant experience in generative AI development. Strong programming skills in Python with 8+ years, experience in AI/ML, proficiency in machine learning frameworks such as Lang chain, llama-index, FastAPI, Tensor Flow, PyTorch, or scikit-learn, experience with cloud computing platforms like Azure, excellent communication, and problem-solving skills, as well as the ability to work both independently and as part of a team.,

AI Explorer / Curator Location: Remote (South or Southeast Asia preferred) Reports to: Director of Development, Singapore Language: English (professional fluency required) Note: We are not able to offer visa sponsorship or relocation Job Description Help Us Discover What AI Can Actually Do for Real Work, Right Now Were looking for someone who thrives on curiosity and fast learning. Someone who tracks whats emerging, experiments with whats useful, and helps others find practical value in the ever-changing world of AI. This role is about identifying which tools, methods, or models are worth exploringthen helping internal teams understand how they could apply them. Its a cross between applied research, internal enablement, and being a trusted first-mover. You dont need to build full systems. But you do need to spot patterns, translate whats possible into whats usable, and guide others in how to get started. What Youll Work On Testing new tools, workflows, models, or agentsand identifying which ones are useful for internal teams Prototyping small examples that show how a tool might support strategy, design, engineering, or operations Summarizing what a new method can do, where it fits, and how it could be adapted Working closely with tool builders and platform leads to inform whats built next Sharing recommendations with clear reasoning and attention to real-world use What You Bring Curiosity about how AI tools actually behavenot just what they claim to do Confidence exploring unstructured spaces and translating them for others A mindset that focuses on usefulness, not hype Interest in helping others get more value from AIeven if theyre new to it Comfort documenting and presenting findings clearly Technologies You May Work With ChatGPT, Claude, Gemini, and other LLM interfaces LangChain, vector search, RAG patterns, multi-agent frameworks No-code or semi-code tools like Zapier, Notion, or AI-enhanced work platforms Lightweight scripting if needed, but this is not primarily a development role Why This Role Matters There are more tools than anyone can keep up withbut also more potential than most teams know how to unlock. This role helps ensure we explore whats possible without losing focus. It supports internal teams by identifying what works, why it matters, and how to apply it thoughtfully. Youll be helping shape how generative AI is adoptednot by building everything, but by helping us choose what to build next. Show more Show less

Join Avoma and contribute to solving challenging NLP problems with the goal of enhancing the productivity of meetings. Avoma's intelligent meeting assistant aids professionals in gaining insights and automating common tasks necessary for business meetings. By utilizing cutting-edge NLP techniques, we aim to summarize meeting notes, extract key topics, and identify action items, enabling our users to focus on accomplishing their objectives effectively. As a Deep Learning / NLP Engineer at Avoma, you will be tasked with enhancing and constructing algorithms that extract crucial insights and topics from conversations. This role involves applying state-of-the-art NLP techniques to address complexities such as identifying various topics of interest and condensing meeting transcripts into concise notes using our insights engine. Responsibilities at Avoma include improving the Insights Engine, developing new models for production, collaborating with the engineering team to deploy models to customers, and staying abreast of the latest advancements in NLP research. Additionally, you will work with large datasets comprising over a million documents, develop and enhance Deep Learning models in TensorFlow, and apply advanced LLMs to solve intricate tasks. Requirements: - Minimum of 4+ years of experience in Machine Learning & NLP within a production environment - Proficiency in Python development and debugging - Familiarity with GPT, Claude, Gemini, or similar LLMs - Experience in developing and deploying scalable, high-performing, and clean code - Competence in training Deep Neural Networks - Proficiency in TensorFlow, PyTorch, or equivalent frameworks - Strong communication skills, both written and verbal - Demonstrated curiosity, self-motivation, and enthusiasm for tackling challenging problems Benefits: - Transparent salary structure ranging from INR 30,00,000 to INR 40,00,000, depending on experience - Stock Option Plan - Dynamic and collaborative work environment - Paid Time Off for Vacation, Sick Leave, and Public Holidays,

Role & responsibilities Assist in designing, training, and evaluating machine learning and deep learning models. Work on GenAI use cases such as text summarization, question answering, and prompt engineering. Build applications using LLMs (like OpenAI GPT, LLaMA, Mistral, Claude, or similar). Preprocess and manage large datasets for training and inference. Implement NLP pipelines using libraries like Hugging Face Transformers. Help integrate AI models into production-ready APIs or applications. Stay updated with advancements in GenAI, ML, and LLM frameworks. Preferred candidate profile Knowledge of vector databases (FAISS, Pinecone, etc.) LangChain or LlamaIndex (RAG pipelines) Experience with Kaggle competitions Awareness of ethical AI principles and model limitations Selection Process: Technical Assessment Python + ML/GenAI basics Technical Interview – Coding + Project Discussion Final Selection – Based on combined performance

About Aeris: For over three decades, Aeris has established itself as a trusted leader in cellular IoT, playing a key role in enabling major IoT initiatives across various sectors such as Automotive, Utilities and Energy, Fleet Management and Logistics, Medical Devices, and Manufacturing. With our expertise in IoT technology, we cater to a vast global network of 7,000 enterprise customers, 30 mobile network operator partners, and a staggering 80 million IoT devices worldwide. Aeris is at the forefront of powering today's interconnected smart world with cutting-edge technologies and seamless connectivity that streamline management, enhance security, optimize performance, and drive growth. Our IoT Services at Aeris are purpose-built to cater to the unique demands of IoT, having been rigorously tested and proven at scale. We understand the complexities involved in implementing IoT solutions and take pride in simplifying the process for our clients. As a company, we are in a strong position, witnessing rapid growth both in terms of profitability and global presence. Operating in a dynamic market where technology is constantly evolving and new IoT solutions are emerging at a rapid pace, Aeris is a hub of innovation and growth. At Aeris, a few core principles guide our actions: 1. Customer-Centric Approach: Our decisions are anchored in prioritizing the needs of our customers above all else, followed by the interests of the company, our teams, and individual selves. 2. Culture of Innovation: Being a pioneer in a competitive industry with the potential to revolutionize global sectors, we believe in forging our own path and continuously striving to outpace the competition through innovation. 3. Emphasis on Integrity: Integrity forms the bedrock of our values at Aeris, evident in the conduct of our staff, management practices, and social impact initiatives. Integrity is ingrained in how we handle people, HR matters, and expect direct and respectful communication among employees and managers. 4. Ownership Mentality: We empower our teams to take ownership of problem-solving, fostering a culture of accountability, autonomy, and creativity. Job Description: Position: Lead SDET (Automation and GenAI), Automotive Experience: 7 to 12 Years Location: Noida/Gurgaon Key Responsibilities: - Strategic Automation Leadership: Design and implement robust, scalable, and intelligent test automation frameworks for cloud-based services. - Test Suite Development: Create automated test coverage across various layers such as functional, performance, security, and end-to-end using tools like Playwright, Rest Assured, JMeter, Postman, and Cucumber. - Code Quality Assurance: Conduct code reviews to maintain high standards in both application and test automation code. - CI/CD Integration: Ensure seamless automation within CI/CD pipelines (Jenkins, GitLab CI/CD, Azure DevOps) to facilitate faster releases. - Quality Strategy Definition: Lead QA planning, execution, and reporting for safety-critical systems with a focus on coverage and traceability. - Defect Management: Oversee defect lifecycle utilizing tools like JIRA, Zephyr, and Xray; leverage GenAI for efficient triage and RCA. - GenAI Integration: Identify, evaluate, and integrate Generative AI tools and techniques throughout the SDLC for automated test case generation, code optimization, and defect analysis. - Mentorship & Innovation: Guide junior engineers, promote AI-driven testing practices, and encourage continuous learning. - Agile Collaboration: Collaborate with cross-functional teams including Product, Dev, and DevOps to embed quality throughout the SDLC. Required Skills & Qualifications: - Experience: 7-12 years in QA/Automation with 2-3 years in a lead/senior role, cloud-native background preferred. - Automation Expertise: Proficient in Java, JavaScript, or Python for automation framework development. Strong skills in building scalable frameworks using tools like Rest Assured, Selenium, Playwright, Appium, and JMeter. - GenAI Proficiency: Hands-on experience with GenAI tools (OpenAI, Gemini, Claude) for test automation, code generation, and analysis. Familiarity with GitHub Copilot, ChatGPT, and similar AI-powered dev/test tools. - Cloud & Microservices: Experience in testing apps on AWS, Azure, or GCP in microservices-based architectures. - CI/CD & DevOps: Proficiency in Jenkins, GitLab CI/CD, Azure DevOps for automation pipeline integration. - Testing Depth: Skilled in API testing (Postman, SoapUI), database validation (SQL/NoSQL), and various testing methodologies covering functional, performance, security, and end-to-end aspects. - Soft Skills: Strong problem-solving, analytical thinking, communication, and collaboration abilities. Nice to Have: - Background in Automotive, Telematics, or IoT. - Familiarity with real-time systems and event-driven architectures (Kafka, RabbitMQ). - Experience with monitoring/logging tools (e.g., Grafana). - Expertise in performance tuning and system optimization for large-scale platforms. Join Us: - High-Impact Work: Contribute to next-gen connected vehicle solutions on a global scale. - Innovation-Driven: Operate at the forefront of automotive, cloud, and Generative AI technologies. - Growth Opportunities: Advance your career, take on leadership roles, and expand your skill set. - Inclusive Culture: Be a part of a diverse team that values different perspectives and fosters inclusive collaboration. - Collaborative Environment: Work alongside passionate professionals tackling real-world challenges. If you are a forward-thinking Lead SDET who thrives on technical challenges and is eager to shape the future of quality engineering utilizing Generative AI in the connected vehicle sector, we welcome your application! Note: Aeris may conduct background checks as part of the hiring process to verify the information provided and assess suitability for the role. The scope and nature of these checks will adhere to the relevant laws and regulations of the country where the position is based. Further details will be provided during the formal application process. Aeris is committed to diversity, embracing individuals from varying ethnicities, religions, and cultures, reflecting our inclusive and dynamic work environment.,

As an AI Systems Architect / LLM-Native Generalist at SBEK (Sab-Ek), a jewelry brand rooted in service, myth, and light, you will play a crucial role in shaping the integration of storytelling, AI systems, product design, and social impact. Your primary responsibility will be to design, test, and implement advanced AI tools and infrastructure that will enhance our brand and operational efficiency. Your expertise in working with various no-code and low-code platforms, modern LLM tools, and the evolving AI agent ecosystem will be essential for this role. You should possess a proactive approach to experimentation, quick learning abilities, and a track record of reliable execution. Key Responsibilities: - Design and manage internal AI workflows using platforms such as Supabase, Lovable, Cursor, N8n, and Airtable - Evaluate and utilize tools like Lang Chain, GPT-4, Claude, Mistral, Flowise, Vercel AI SDK, and other RAG frameworks - Collaborate with the founder to create prototypes using a combination of no-code solutions, automation, and API logic - Stay updated on the latest LLM tools, open-source projects, and AI-enabled platforms - Develop simple documentation and system maps to ensure team alignment Required Skills & Experience: - Proficiency in various AI-native tools such as Lovable, Cursor, N8n, Supabase, Zapier, Vercel, Firebase, Flowise, Make, and Lang Chain - Understanding of backend logic, user roles, API integrations, and real-time data processing - Ability to implement secure authentication systems and subscription workflows independently - Strong problem-solving capabilities, creativity, and a knack for turning abstract ideas into functional solutions - Familiarity with prompt engineering, vector databases, and the basics of model selection - Willingness to iterate, experiment, and deliver solutions efficiently Bonus Qualifications: - Experience in developing custom GPT models or personal AI assistants - Demonstrated ability to integrate multiple tools or models in innovative ways - Interest in leveraging AI for social good initiatives - Track record of deploying successful applications or automations - Excellent communication skills and the ability to articulate complex concepts clearly This role is ideal for individuals who already possess a deep understanding of AI concepts and technologies and are eager to further explore the field. Please note that we are seeking candidates who are already proficient in AI tools and platforms, as we are not offering training from scratch. If you are actively engaged in exploring AI tools, utilizing platforms like Lovable and Cursor, and envisioning their potential applications in products and businesses, we encourage you to apply for this exciting opportunity at SBEK.,

You will be part of a team that is building an Agentic AI Platform aimed at enabling enterprises to solve real business problems using Agentic AI workflows. The platform covers a wide range of areas from utility operations to legal document review. The ultimate goal is to empower AI agents to think, act, and deliver quickly, securely, and locally. As an Agentic AI Engineer, you will have the opportunity to work with cutting-edge frameworks such as Lang Chain, CrewAI, Lang Graph, Google ADK, and more. Your role will involve translating real enterprise challenges into intelligent multi-agent workflows. Your responsibilities will include building and deploying AI agents using open-source agentic frameworks, integrating models from sources like OpenAI, Mistral, Gemini, Llama, Claude, among others, and utilizing tools such as Retrieval-Augmented Generation (RAG), knowledge graphs, and vector stores. Collaboration with product managers and domain experts to address real problems in various enterprise domains like utilities, legal, marketing, and supply chain will be a key aspect of your role. Additionally, you will play a significant role in continuously testing and refining agent behavior and contributing to the enhancement of the proprietary DataInsightAI platform. To excel in this role, you should possess at least 1+ years of hands-on experience in implementing enterprise-level Gen AI projects that have been successfully deployed. Strong Python skills, familiarity with LLMs, agentic AI workflows, RAG, vector databases, and the ability to simplify complex problems are essential. A curiosity-driven mindset, a fast learner, and hands-on coding abilities are also crucial for success in this role. While not mandatory, experience in multi-agent architectures, graph databases like Neo4j, deployment on cloud platforms such as Azure/AWS/GCP, and familiarity with LangGraph or Google ADK are considered advantageous. Joining our team will offer you the opportunity to work on cutting-edge agentic AI projects daily, be part of a small team with significant ownership, ship solutions rapidly, and tackle real enterprise challenges. Moreover, you will be supported by InTimeTec, a company with a strong AI/ML engineering culture.,

We have multiple roles for Fullstack Developers and Fullstack Lead for our telecom based client in Gurgaon , interesting projects to work on with latest technologies like Gen AI Role 1: Fullstack Developer Exp: 3-6yrs Mandatory Skills: Java/Python, Angular/React, Cloud, AI/ML Job Summary: We are looking for a skilled Software Developer to join our AI-driven product development team. The ideal candidate will be responsible for designing, developing, and maintaining backend services, as well as integrating AI models into our systems. Responsibilities: Develop and maintain scalable, efficient, and maintainable code. Collaborate with cross-functional teams to design and integrate AI-driven applications. Work with LLM models such as OpenAI, Claude, and Lama to develop conversation responses. Create and manage APIs, integrating them into backend systems. Follow version control best practices to manage and collaborate on the codebase. Write and execute unit tests to ensure code quality and performance. Collaborate with other developers and stakeholders to improve product features. Participate in code reviews to ensure high coding standards. Qualifications: Bachelor's degree in Computer Science, Engineering, or a related field. 3+ years of experience in software development. Strong proficiency in Python, Java, or other relevant programming languages. Experience with cloud platforms like AWS, Azure, or GCP. Understanding of AI and machine learning concepts, especially LLMs. Experience with version control systems like Git. Strong communication and teamwork skills. Role 2 : Fullstack Developer Lead Exp: 7-11yrs Mandatory Skills: Java/Python, Angular/React, Cloud, AI/ML, Good experience in handling teams Job Summary: We are seeking an experienced and dynamic Team Lead Software Developer to lead a team of developers working on AI-driven solutions. This role involves guiding and mentoring the team, while ensuring high-quality development and timely delivery of features. Responsibilities: Lead and manage a team of developers, ensuring alignment with project goals and timelines. Design and implement scalable and maintainable software systems. Ensure high-quality software development practices through code reviews and mentoring. Work closely with cross-functional teams to integrate AI models into the product. Take ownership of system architecture and design decisions. Participate in the development of AI models and assist with their deployment. Ensure proper version control and CI/CD processes are followed. Assist with problem-solving and technical challenges faced by the development team. Stay up-to-date with emerging technologies and AI trends. Qualifications: Bachelor's degree in Computer Science, Engineering, or a related field. 6+ years of experience in software development, with at least 2 years in a leadership role. Strong expertise in programming languages like Python, Java, or similar. In-depth experience in AI/ML development, including working with LLMs. Experience in system design, architecture, and development practices. Strong understanding of software development best practices and agile methodologies. Proven ability to lead teams and mentor junior developers. Experience with cloud platforms (AWS, Azure, GCP) Interested candidate can mail their CV's at resume@zestpire.com with the details of the CTC, Notice Period and Location.

As an AI Automation Specialist, you will play a crucial role in enhancing efficiency, personalization, and scalability in eCommerce store operations and marketing by implementing AI-driven automation solutions. You will be responsible for designing, implementing, and optimizing automated workflows across various platforms such as Shopify, Klaviyo, Zapier, ManyChat, Make.com, and integrating AI tools like ChatGPT, Midjourney, and custom bots to streamline tasks, improve conversion rates, and elevate client performance. Your responsibilities will include setting up AI-based customer support and chatbots utilizing platforms such as ManyChat, Tidio, and Intercom integrated with GPT technology. You will automate processes like abandoned cart flows, welcome series, and post-purchase email journeys using Klaviyo or Omnisend. Additionally, you will leverage tools like Zapier, Make.com, or custom APIs to establish seamless connections between platforms such as Shopify, CRM systems, and advertising networks. Furthermore, you will be tasked with developing AI tools for generating product recommendations, reviews, and auto content creation. Your role will also involve implementing predictive analytics, AI-generated ad creatives, and copy to enhance marketing strategies. Integration of GPT or Claude-powered backend assistants for client stores will be part of your responsibilities. To excel in this role, you are required to possess a strong understanding of automation tools such as Zapier, Make, Pabbly, and Activepieces. Experience with eCommerce tools including Shopify, Klaviyo, Gorgias, and ManyChat is essential. Familiarity with GPT-4, Claude, DALLE, or Midjourney integrations is preferred. Knowledge of APIs, specifically REST and Webhooks, would be advantageous. Your creative problem-solving skills and ability to implement fast, scalable automation solutions will be key to success in this position.,

At EY, you'll have the opportunity to shape a career that aligns with your unique strengths and aspirations, supported by a global network, inclusive environment, and cutting-edge technology. Your voice and perspective are valued as we strive to enhance EY's capabilities and create a more inclusive working world. Join the EY Parthenon team as the Artificial Intelligence (AI) and Generative AI (GenAI) Leader. This dynamic team focuses on delivering innovative client solutions across various industries, leveraging digital and AI technologies to drive transformation and growth. As the Executive Director of AI & GenAI at EYP, your role involves spearheading the integration of advanced AI solutions to address complex client challenges. Your responsibilities include collaborating with regional teams to identify AI opportunities, design tailored proposals, and lead client workshops to develop AI strategies aligned with business outcomes. Key responsibilities also include architecting end-to-end AI solutions, driving cross-sector innovation, ensuring ethical AI practices, and contributing to AI trends and thought leadership initiatives. To excel in this role, you should possess technical expertise in AI/GenAI lifecycle, proficiency in Python and AI frameworks, consulting acumen, and strong leadership skills. Qualifications for this position include significant experience in AI/data science projects, familiarity with Azure Cloud Framework, and expertise in statistical techniques and machine learning algorithms. Preferred qualifications include a PhD/MS/MTech/BTech in Computer Science or related field, research experience in AI applications, and strategic thinking abilities. Join us to lead AI innovation for Fortune 500 clients, collaborate with multidisciplinary experts, and accelerate your career in a culture of entrepreneurship and continuous learning. EY Global Delivery Services (GDS) offers a diverse and inclusive environment where you can collaborate with global teams and work on impactful projects across various business disciplines. You'll have access to continuous learning opportunities, transformative leadership resources, and a supportive culture that values individual contributions and fosters growth. EY is committed to building a better working world by creating long-term value for clients, promoting diversity and trust, and addressing complex global challenges through innovative solutions. Join us to be part of a team that asks better questions to find new answers and make a positive impact on the world.,

As an Enterprise Architect & AI Expert, your role will involve defining and maintaining the enterprise architecture framework, standards, and governance. You will align IT strategy with business goals to ensure architectural integrity across systems and platforms. Leading the development of roadmaps for cloud, data, application, and infrastructure architectures will be a key responsibility. It will also be crucial to evaluate and select technologies, platforms, and tools that align with enterprise goals. You will be responsible for designing and implementing AI/ML solutions to solve complex business problems. Leading AI initiatives such as NLP, computer vision, predictive analytics, and generative AI will be part of your duties. Collaborating with data scientists, engineers, and business stakeholders to deploy AI models at scale will be essential. Ensuring ethical AI practices, data governance, and compliance with regulatory standards will also be critical. In terms of leadership and collaboration, you will act as a strategic advisor to senior leadership on technology trends and innovation. Mentoring cross-functional teams, promoting architectural best practices, and facilitating enterprise-wide workshops and architecture review boards will be part of your role. To qualify for this position, you should have a Bachelors or Masters degree in Computer Science, Engineering, or a related field. You should possess 14+ years of experience in enterprise architecture, with at least 3 years in AI/ML domains. Proven experience with cloud platforms such as AWS, Azure, GCP, microservices, and API management is required. Strong knowledge of AI/ML frameworks like TensorFlow, PyTorch, Scikit-learn, and MLOps practices is essential. Familiarity with data architecture, data lakes, and real-time analytics platforms is also expected. Excellent communication, leadership, and stakeholder management skills are necessary for this role. Mandatory skills for this position include experience in designing GenAI and RAG architectures, familiarity with AWS, Vector DB - Milvus (preferred), OpenAI or Claude, LangChain, and LlamaIndex. Thank you for considering this opportunity. Siva,

Key Responsibilities: Lead a cross-functional engineering team building AI-powered call center solutions. Oversee the deployment and tuning of STT, TTS, and LLM models. Translate expert agent feedback into model tuning strategies. Manage prompt engineering, RAG/CAG integration, and action workflows. Customize models rapidly for new enterprise clients. Ensure the team can: Understand speech-to-text and text-to-speech models Analyze feedback from expert call agents Develop and refine prompts for LLM tuning Create reliable, scalable workhorse models Optimize model operations to reduce cost Integrate LLMs with Retrieval-Augmented Generation (RAG) and Context-Augmented Generation (CAG) systems Build custom action workflows linked with enterprise data systems Enable rapid customization for customer-specific use cases and data environments Requirements: Strong background in NLP and LLMs (GPT, Mistral, Claude, etc.). Experience in leading AI/ML teams or mentoring. Exposure to distributed teams across time zones. Familiar with cloud platforms (AWS/GCP), vector DBs, LangChain, etc. Deep understanding of NLP, speech technologies, and generative AI stacks Strong systems architecture and cloud deployment skills Experience leading technical teams, ideally in a fast-paced environment

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 create intelligent, user-first digital products that redefine industries through the power of AI and engineering excellence. We are looking for a Senior Software Engineer-AI with 4-6 years of hands-on experience in Artificial Intelligence/ML and a passion for innovation. This role is ideal for someone who thrives in a startup environment, fast-paced, product-driven, and full of opportunities to make a real impact. You will contribute to building intelligent, scalable, and production-grade AI systems, with a strong focus on Generative AI and Agentic AI technologies. As a Senior Software Engineer-AI at Techvantage.ai, you will be responsible for building and deploying AI-driven applications and services, focusing on Generative AI and Large Language Models (LLMs). You will design and implement Agentic AI systemsautonomous agents capable of planning and executing multi-step tasks. Collaborate with cross-functional teams including product, design, and engineering to integrate AI capabilities into products. Write clean, scalable code and build robust APIs and services to support AI model deployment. Own feature delivery end-to-endfrom research and experimentation to deployment and monitoring. Stay current with emerging AI frameworks, tools, and best practices and apply them in product development. Contribute to a high-performing team culture and mentor junior team members as needed. In order to excel in this role, we are seeking candidates with 3-6 years of overall software development experience, with at least 3 years specifically in AI/ML engineering. Strong proficiency in Python is required, along with hands-on experience in PyTorch, TensorFlow, and Transformers (Hugging Face). Proven experience working with LLMs (e.g., GPT, Claude, Mistral) and Generative AI models (text, image, or audio) is highly desirable. Practical knowledge of Agentic AI frameworks (e.g., LangChain, AutoGPT, Semantic Kernel) is a plus. Experience building and deploying ML models to production environments is essential. Familiarity with vector databases (Pinecone, Weaviate, FAISS) and prompt engineering concepts is beneficial. Comfortable working in a startup-like environment is crucialself-motivated, adaptable, and willing to take ownership. A solid understanding of API development, version control, and modern DevOps/MLOps practices is expected from the ideal candidate.,

You will be responsible for building and maintaining full-stack web applications using technologies such as React.js, Next.js, Node.js, TypeScript, and Python. Your role will involve integrating AI models like OpenAI and Claude, and working on AI chat interfaces. You will utilize prompt engineering techniques to enhance AI responses and user experiences, and leverage AI-native tools like Cursor, Replit, Copilot, and Tannine to write and review clean, maintainable code. Additionally, you will collaborate with cross-functional teams, participate in sprint planning, and optimize performance and scalability using best practices and modern DevOps tools. Your focus will be on shipping features quickly using platforms like Vercel, Supabase, Railway, and n8n. You should have 5-6 years of hands-on experience in full-stack development, with strong proficiency in React.js, Next.js for frontend, and Node.js, Express for backend development. Proficiency in working with PostgreSQL databases and hosted solutions like Supabase is essential. Experience in integrating and working with AI/LLM APIs such as OpenAI (ChatGPT) and Claude, along with familiarity with frameworks like LangChain, AutoGen, or Manus is required. Comfort with modern development and deployment tools like Vercel, Railway, n8n, GitHub, and AI-powered IDEs such as Cursor, Replit, GitHub Copilot, or Tabnine is a plus. Strong proficiency in JavaScript, React, Next.js, Node.js, and TypeScript is also necessary, along with practical knowledge of prompt engineering and vector search concepts. As part of the interview process, you can expect application review, HR screening, technical assessment, final interview, and offer & onboarding stages. Avya Technology is committed to being an equal opportunity employer, making employment decisions based on merit. The company offers a hybrid work environment that allows for remote or office work, flexible timings to accommodate personal time, training opportunities, paid certifications, rewards and recognition programs, and team-building activities to foster a collaborative and inclusive work culture. If you possess leadership qualities, excellent problem-solving skills, and strong communication abilities, and have a passion for working with cutting-edge technologies in a dynamic and collaborative environment, this role at Avya Technology could be the next step in your career growth.,

You will be joining Pandita AI, a startup based in Palo Alto, dedicated to developing specialized foundation models, multimodal agents, and automation tools to tackle real-world challenges across various sectors such as science, enterprise, and industrial systems. The company's AI engineering division in Mysore is thriving, focusing on creating intuitive, elegant, and scalable interfaces for both internal tools and client-facing demonstrations. As a UX/UI & Product Designer at Pandita AI, you will have the opportunity to take charge of product thinking using innovative tools like ChatGPT, Grok, and internal LLMs to replace traditional product management responsibilities. Your role involves collaborating closely with researchers and engineers to deliver UI/UX solutions for AI demonstrations and interfaces promptly, without the need for extensive product specifications. In this dynamic position, you will blend visual storytelling, interactive UI development, and independent product ideation. Your responsibilities will include utilizing tools like ChatGPT, Deep Research, and Grok to handle tasks typically managed by a Product Manager, conducting market research, defining user stories, discovering features, and supporting prototyping efforts. Additionally, you will design and launch Streamlit apps and dashboards showcasing the company's AI capabilities and create compelling presentations and visual assets that simplify technical research into engaging narratives. As an autonomous product owner, you will be responsible for researching feature ideas, analyzing competitors, and implementing best UX practices, crafting user stories and flows, developing content for UI and presentations, simulating user feedback, and designing polished slides and pitch decks for various purposes. You will also collaborate with AI researchers and subject matter experts to comprehend core systems and visualize their functionalities effectively. To qualify for this role, you should hold a Bachelor's or Master's degree in UI/UX Design, Product Design, HCI, or Computer Science. Proficiency in design tools such as Figma, Canva, Adobe Illustrator, or similar software is essential. A strong portfolio showcasing your work on slides, Streamlit apps, dashboards, or visual interfaces for tech products is required, along with hands-on experience in Streamlit or Python-based web UIs. Demonstrated expertise in leveraging tools like ChatGPT, Claude, or Grok for driving product ideation, writing, and workflow creation, as well as experience collaborating with engineers and researchers in fast-paced environments, are also crucial. Preferred qualifications include familiarity with LLM or GenAI-based tools and prompt workflows, a basic understanding of API integration, cloud deployment (Streamlit Cloud, AWS), and version control, and comfort working autonomously in a high-velocity environment, driven by curiosity. Joining Pandita AI offers you a high-autonomy role in an AI-first product setting with minimal involvement of traditional product management layers. You will collaborate with AI leaders and subject matter experts, contributing to the future of intelligent software systems. The role provides you with full ownership of design and UX decisions across demos, tools, and customer-facing applications, along with competitive compensation, ESOPs, and a collaborative, engineering-driven culture in Mysore. Additionally, you will have access to cutting-edge compute infrastructure, research-grade tools, and the opportunity to work on pioneering GenAI applications.,

We are seeking a hands-on, highly experienced AI engineer ?with deep expertise in LLMs, Retrieval-Augmented Generation (RAG), fine-tuning, and applied machine learning . You will help build next-generation investor relations and public relations tools powered by AI, including intelligent assistants, content generation, semantic search, and predictive analytics. Machine Learning + Deep Learning + Generative AI Key Responsibilities Design and implement RAG pipelines that combine proprietary data (e.g., press releases, earnings transcripts) with LLMs to generate accurate, secure outputs. Fine-tune open-source LLMs (e.g., LLaMA 2/3, Mistral, Mixtral) using instruction or LoRA-based methods for specific use cases such as branded content generation or question-answering. Build and optimize embeddings, Vector search algorithms proficenecy e.g. HNSW, FAISS, IVFFlat and Microsoft -> Semantic Kernel and semantic retrieval systems using tools like sentence-transformers, FAISS, Weaviate, or Pinecone. Collaborate with product and content teams to implement intelligent Q&A, press release graders, interview prep tools, and performance analysis assistants. Develop traditional ML models for anomaly detection, time-series forecasting, and engagement optimization (Prophet, XGBoost, scikit-learn, Chronos, ARIMA, Microsoft -> Semantic Kernel etc.). Integrate multimodal components such as TTS (e.g., ElevenLabs), image recommendation, and social publishing automation. Deep Learning in Neural Networks. Hands on experience in Tensorflow, Pytorch. Ensure secure and scalable deployment of AI systems (on cloud AWS, AWS Bedrock, AWS SegemakerAzure OpenAI, or in-house GPU infrastructure). Qualifications 14+ years of hands-on experience in ML/AI engineering or applied data science Proven experience with LLMs (GPT-4, Claude, LLaMA, Mistral, etc.) ?and RAG architectures Strong coding skills in Python ?and experience with LangChain, Hugging Face Transformers, OpenAI API, PEFT/LoRA. Experience fine-tuning LLMs using open-source frameworks and adapting models with domain-specific data Deep understanding of NLP, search , and vector-based retrieval systems Experience with time-series modeling, anomaly detection , or ML classification tasks Familiarity with DevOps or MLOps tooling for deploying and monitoring LLM-powered applications Excellent communication skills and ability to work cross-functionally with product, content, and engineering teams Preferred Experience in financial, PR, or media ?domains Familiarity with embedding alignment, model evaluation, and prompt engineering Comfortable working with both cloud APIs (e.g., OpenAI, Azure, Anthropic) ?and open-source LLMs Good to have: Postgressql vector db for embeddings, azure open ai services and c# .net 9 framework for building all business logic and services for our enterprise applications.?

As a Senior Google Cloud Architect in Pune (Hybrid) with over 10 years of experience, including 3+ years specifically on GCP, you will play a crucial role in leading the design and delivery of comprehensive cloud solutions on Google Cloud Platform. Your responsibilities will involve collaborating with data engineering, DevOps, and architecture teams to create scalable, secure, and cost-effective cloud platforms. Your key responsibilities will include designing scalable data and application architectures utilizing tools such as BigQuery, Dataflow, Composer, Cloud Run, Pub/Sub, and other related GCP services. You will be leading cloud migration, modernization, and CI/CD automation through the use of technologies like Terraform, Jenkins, GitHub, and Cloud Build. Additionally, you will be responsible for implementing real-time and batch data pipelines, chatbot applications using LLMs (Gemini, Claude), and automating reconciliation and monitoring processes. Your role will also involve collaborating closely with stakeholders to ensure technical solutions align with business objectives. The ideal candidate for this role should have a minimum of 3 years of experience working with GCP and possess a strong proficiency in key tools such as BigQuery, Dataflow, Cloud Run, Airflow, GKE, and Cloud Functions. Hands-on experience with Terraform, Kubernetes, Jenkins, GitHub, and cloud-native CI/CD is essential. In addition, you should have a solid understanding of DevSecOps practices, networking, and data architecture concepts like Data Lake, Lakehouse, and Mesh. Proficiency in Python, SQL, and ETL frameworks such as Ab Initio is also required. Preferred qualifications for this role include GCP Certifications (Cloud Architect, DevOps, ML Engineer), experience with Azure or hybrid environments, and domain expertise in sectors like Banking, Telecom, or Retail.,