819 Llms Jobs - Page 17

We are looking for an experienced AI Engineer to join our team and lead the development of cutting-edge AI solutions, particularly focusing on Generative AI and its applications in the legal domain. The ideal candidate should have a solid background in constructing and training AI/ML models from the ground up, deploying them in production environments, and working with advanced technologies such as NLP, LLMs, and vector databases. If you have experience in creating AI models, especially custom Large Language Models (LLMs) or domain-specific models, you are well-suited for this role. Your responsibilities will include designing, developing, and training custom AI models, particularly Generative AI and NLP-based models tailored for legal applications. You will also be tasked with implementing techniques to fine-tune and optimize large language models for domain-specific use cases, building models from scratch as necessary while ensuring scalability, accuracy, and efficiency. Additionally, you will design and implement AI-driven systems using Python and frameworks like FastAPI and Django for robust API development, as well as develop and integrate vector databases for semantic search, embeddings, and retrieval-augmented generation (RAG). Furthermore, you will manage data pipelines, including preprocessing and cleansing unstructured text such as legal documents, contracts, and case law. Working with SQL and PostgreSQL databases for structured data storage and retrieval will also be a part of your role. You will develop generative solutions for tasks like document summarization, legal drafting, knowledge extraction, and automated reasoning, leveraging modern transformer architectures such as GPT, BERT, LLaMA, Falcon, among others, to build advanced capabilities. Collaboration with product, legal, and engineering teams to comprehend requirements and deliver solutions in an Agile environment using tools like Jira and GitHub is essential. Mentoring junior engineers and contributing to knowledge sharing within the team are also key responsibilities. Staying updated with the latest advancements in AI, LLMs, RAG, and Generative AI technologies and applying them to real-world scenarios, as well as proposing innovative solutions to enhance the efficiency, accuracy, and scalability of existing systems are also expected from you. Preferred qualifications for this role include a Bachelors or Masters in Computer Science, AI/ML, Data Science, or related fields, strong expertise in Python programming, familiarity with frameworks like FastAPI and Django, experience with TensorFlow, PyTorch, Hugging Face, and preferred knowledge of LangChain. Additionally, experience with databases like MySQL, PostgreSQL, and exposure to Vector Stores (e.g., Pinecone, Weaviate, FAISS), as well as familiarity with containerization (Docker), CI/CD pipelines, and tools like GitHub, Jira, and Agile methodology are preferred. Candidates with 8+ years of experience in AI/ML engineering, a proven track record of building and deploying custom AI models into production, hands-on experience with Generative AI, LLM fine-tuning, and retrieval-augmented generation (RAG) are highly encouraged to apply. Experience with cloud platforms (AWS, Azure, GCP) for AI deployments, knowledge of MLOps practices for model lifecycle management, contributions to open-source AI/ML projects, and prior experience in developing legal-specific AI tools or solutions are considered advantageous for this role.,

The candidate for the Automation Testing With AI technologies role will be responsible for developing and executing automated test scripts using Python and the Robot Framework. You will integrate AI technologies to enhance QA processes, ensuring robust and efficient testing methodologies. Your expertise in AI tools and platforms like Copilot and Cursor will be crucial in optimizing testing strategies. You will be required to integrate AI technologies, including LLMs such as OpenAI's GPT (GPT-3, GPT-4), GitHub Copilot, Anthropic's Claude, and CodeGen into testing processes to enhance efficiency and accuracy. Utilizing LLMs to generate test cases, automate documentation, and assist in exploratory testing by predicting potential failure points will be part of your responsibilities. Furthermore, you will enhance test scripts and processes with AI capabilities to predict and prevent potential failures. It is essential to stay updated on emerging AI technologies relevant to testing (e.g., Copilot, Cursor) and provide guidance and support on the use of AI tools to improve testing practices. You will also be expected to develop and document automation strategies, tools, processes, and best practices using Python with the Robot Framework. This role requires 6-10 years of experience and can be based in Mumbai, Bangalore, Kolkata, Chennai, Pune, Gurgaon, or Ahmedabad.,

You are a talented and innovative AI/ML Engineer with a strong background in machine learning and deep learning. You have a keen interest in Generative AI (GenAI) and are excited to explore, implement, and scale GenAI models. Your primary responsibilities include designing and deploying end-to-end AI/ML solutions, experimenting with cutting-edge GenAI frameworks and tools, and collaborating with cross-functional teams to solve business problems using ML solutions. Your key responsibilities involve designing and developing robust ML models, including traditional and deep learning approaches. You will also build, train, fine-tune, and deploy Generative AI models for various use cases such as text, image, or code generation. Utilizing AWS services like SageMaker, Lambda, EC2, S3, and Glue to build scalable AI/ML solutions is an essential part of your role. Additionally, you will create and automate ML pipelines using CI/CD and MLOps best practices, conduct data preprocessing, feature engineering, and EDA for model development, and ensure model performance, fairness, and explainability throughout the lifecycle. To excel in this role, you should hold a Bachelor's/Masters degree in Computer Science, AI/ML, Data Science, or a related field and have at least 3 years of hands-on experience in machine learning and deep learning using Python with TensorFlow, PyTorch, Hugging Face, etc. Strong hands-on experience with AWS AI/ML services, experience in deploying LLMs or transformer-based models in production, and familiarity with GenAI tools like Hugging Face Transformers, LangChain, OpenAI API, Bedrock, or LLamaIndex are required. You should also possess working knowledge of REST APIs, microservices, and containerized deployments, proficiency in MLOps tools such as MLflow, SageMaker Pipelines, or Kubeflow, and strong communication skills to present complex ML concepts clearly. Preferred qualifications include experience with prompt engineering, fine-tuning, or RAG techniques, AWS Machine Learning Specialty certification or equivalent, exposure to NLP, computer vision, or multi-modal GenAI models, and contributions to open-source GenAI projects or research. Stay updated with the latest trends in GenAI and propose innovative solutions using LLMs or transformer-based architectures to drive continuous improvement in AI/ML solutions.,

The ideal candidate for the Business Head / Practice Head position at Ideas2IT Consulting should be a seasoned consulting professional from the Indian IT services industry with prior experience in areas such as Digital Transformation, Solution Design & Consulting, Pre-Sales, Customer Advisory expertise, and exceptional leadership skills. Reporting directly to the Ideas2IT executive team, the candidate will be responsible for taking end-to-end ownership of the consulting team. It is essential for the candidate to have significant prior experience in leading, running, and executing Pre-Sales responsibilities within an IT services company. This permanent position is based in Chennai and offers the opportunity to work in a dynamic environment that combines the attributes of a product startup and a services company. The chosen candidate will have the chance to contribute to various technologies through multiple product initiatives and customer-facing projects. Key Responsibilities: - Taking end-to-end business ownership of the Ideas2IT Consulting Practice, including strategy, execution, offerings, pre-sales, revenues, consulting project execution, and people leadership. - Building, maintaining, and positioning the consulting offerings portfolio. - Setting up and leading the overall consulting practice for Ideas2IT, including a central Pre-Sales team to collaborate with sales, practice, and delivery teams for customer proposals. - Demonstrating thought leadership through value creation via articles, blogs, lead magnets, and speaker sessions. - Executing consulting projects, such as workshops, assessments, and advisory engagements based on the offerings portfolio. Qualifications and Skills: - 18-20 years of experience in the IT services industry. - 10-12 years of prior experience in consulting, practice, and pre-sales related roles. - Proficiency in areas like Digital Transformation, AI & ML, Data Science, Data Engineering & Analytics, BI, Cloud, and related technologies. - Hands-on Pre-Sales experience, including working with sales and practice teams for proposal development and presentations. - Strong knowledge of IT services project execution and delivery, particularly with Global Delivery (Onsite-Nearshore-Offshore) in an IT services context. - Outstanding leadership skills, excellent communication, and collaboration skills with the ability to work effectively across team boundaries. - Consulting experience with US customers, especially in the healthcare sector. - Prior experience with custom Application Development using the latest technology stacks. - Domain experience in healthcare and/or financial services. - Strong knowledge of AI, ML, Gen AI, and LLMs, including business use cases across industry sectors. About Ideas2IT: Ideas2IT is positioned at the intersection of Technology, Business, and Product Engineering, offering high-caliber Product Development services. Initially founded as a CTO consulting firm, the company has evolved into thought leaders in cutting-edge technologies like Generative AI, assisting clients in embracing innovation. With a track record of developing AI-driven solutions for industry giants, Ideas2IT has also incubated successful AI-based startups. Diversity is celebrated at Ideas2IT, and the company welcomes individuals from all backgrounds to join in the pursuit of ambitious objectives.,

As a detail-oriented Generative AI Tester with 3+ years / 6+ years of experience, your primary responsibility will be to validate the quality, reliability, and ethical outputs of AI systems powered by large language models (LLMs). In this role, you will focus on testing prompt responses, evaluating edge cases, and ensuring that AI outputs align with business and compliance standards. Your key responsibilities will include designing and executing test cases for Gen AI features and conversational workflows, validating the outputs of LLMs for accuracy, relevance, coherence, and safety, conducting prompt testing, fine-tuning evaluation, and edge-case scenario validation. You will also collaborate with AI engineers, product managers, and QA teams to improve test coverage and feedback loops, document defects, issues, and improvement areas using tools like JIRA or similar, and evaluate AI systems against ethical and fairness benchmarks. To be successful in this role, you should have at least 2+ years of experience in QA/testing, with exposure to AI/ML or NLP systems. It is essential to be familiar with LLMs such as GPT, Claude, or open-source alternatives, possess strong analytical and critical thinking skills for non-deterministic system testing, have experience with test management tools and basic scripting (Python preferred), and a good understanding of prompt engineering and model evaluation principles. Preferred qualifications include experience in testing conversational AI, chatbots, or virtual assistants, an understanding of responsible AI practices including bias and hallucination detection, and exposure to RAG (Retrieval-Augmented Generation) pipelines and vector databases.,

You will play a crucial role as an AI/ML Engineer with a strong expertise in Generative AI, machine learning, and proficiency in programming languages like Python and Go. The ideal candidate should possess in-depth knowledge of SAP BTP, including practical experience with SAP BTP AI Core, AI Launchpad services, and the GenAI Hub. Your responsibilities will involve deploying and managing AI solutions using SAP BTP AI Core and AI Launchpad services, collaborating with diverse teams to integrate AI/ML solutions, and designing and implementing AI/ML models, focusing on generative AI techniques and large language models. Your primary duties will include developing and maintaining scalable applications with Python and Go, fine-tuning large language models for specific use cases through prompt engineering, and staying updated on the latest advancements in AI/ML and SAP BTP. You will also provide technical expertise and support for SAP BTP AI Business services, document project results, and present actionable insights to stakeholders. To excel in this role, you should hold a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field, along with 7-9 years of experience in AI/ML, emphasizing generative AI and large language model development. Solid understanding of SAP BTP, proficiency in Python and Go programming languages, familiarity with SAP BTP AI Business services, strong analytical and problem-solving skills, excellent communication abilities, and a passion for AI innovation are essential qualities for this position. Join EY to contribute towards building a better working world, where you will have the opportunity to shape your future and drive innovation in AI solutions that align with business objectives.,

Job Title: Senior Software Developer (Full-Stack | Martech & Emerging Tech) Company: Visual Dough Location: Andheri East Experience: 58 years About Visual Dough: At Visual Dough, we are shaping the future of marketing by blending technology and storytelling. As a next-gen martech agency, we specialize in cutting-edge solutions across AR, VR, projection mapping, AI, VFX, anamorphic content, CGI, product films, marketing campaigns, and immersive digital experiences. We partner with leading brands to create unforgettable, tech-driven content and experiences that push creative boundaries. We&aposre now scaling fast and are looking for a seasoned Senior Software Developer who is passionate about building extraordinary digital experiences and leading teams towards technical excellence. Role Overview: We are seeking a highly skilled Senior Software Developer with strong full-stack capabilities and a solid background in building marketing-tech solutions AR/VR applications, AI-driven experiences, experiential web and mobile apps, and content-tech platforms. The ideal candidate should not only be hands-on with development but also capable of architecting solutions, mentoring the tech team, and ensuring delivery of world-class outputs. Key Responsibilities: 1. Architect, design, and develop interactive and scalable applications across AR, VR, AI-based experiences, experiential websites, web apps, and mobile apps. 2. Lead end-to-end development cycles from ideation to deployment. 3. Guide and mentor junior developers, ensuring best coding practices, code reviews, and technical upskilling. 4. Collaborate with Creative, Strategy, and BD teams to translate ideas into feasible, high-impact tech solutions. 5. Stay updated with the latest technologies, frameworks, and tools in the martech space. 6. Optimize applications for speed, scalability, security, and performance. 7. Troubleshoot, debug, and continuously improve software products. 8. Ensure robust documentation of projects, codebases, and technical processes. Key Skills & Requirements: A. 58 years of experience in full-stack software development. B. Proficiency in frontend technologies: ReactJS, Next.js, Three.js (for 3D experiences), WebGL, HTML5, CSS3, JavaScript. C. Proficiency in backend technologies: Node.js, Express.js, Python, or similar. D. Experience with mobile app development: React Native, Flutter, or Native Android/iOS development. E. Experience with WebAR, WebVR platforms and frameworks (e.g., 8th Wall, ZapWorks, Unity for AR/VR integrations) would be a plus. F. Good understanding of AI integration (e.g., integrating LLMs, computer vision APIs, or GPT-based tools). G. Hands-on experience with databases: MongoDB, Firebase, PostgreSQL or similar. H. Understanding of cloud services like AWS, Google Cloud, Azure for deployments and scalability. I. Experience building and deploying interactive websites, microsites, and immersive landing pages. J. Strong leadership qualities: capable of managing and motivating a small to mid-sized tech team. K. Excellent problem-solving, system design, and architecture skills. L. Ability to work in a fast-paced, creative environment with changing priorities. What We Offer: The chance to work on groundbreaking projects blending creativity, technology, and storytelling. A culture that celebrates innovation, experimentation, and bold ideas. Leadership opportunities in a fast-growing company. Competitive salary based on performance. Show more Show less

We are seeking a proactive Copilot Developer to design, develop, and maintain solutions using Microsoft Copilot Studio . You will be responsible for gathering business requirements, acting as a solutions architect, and integrating Microsoft Copilot with other Power Platform solutions like Power Automate and SharePoint. This role requires strong problem-solving skills and experience with AI-powered development tools to translate business needs into technical solutions. Roles & Responsibilities: Design, develop, and maintain solutions using Microsoft Copilot Studio for both declarative and custom agents. Communicate with business users to gather requirements and design effective Microsoft Copilot solutions. Act as a business solutions architect in the Microsoft Copilot space, providing guidance to team members. Develop custom connectors for Microsoft Copilot. Integrate Microsoft Copilot with Power Platform Solutions using Power Automate, Teams, SharePoint , and different knowledge bases. Provide support for existing solutions and collaborate with cross-functional teams to investigate issues. Skills Required: Strong experience with the Microsoft Power Platform . Experience integrating REST APIs , custom connectors, and Azure services . Experience with Copilot AI, Azure OpenAI , or similar AI-powered development tools and LLMs , with a familiarity with AI concepts. Strong problem-solving skills and the ability to translate business needs into technical solutions. Must-have skills include Microsoft Power Apps and Microsoft Copilot . QUALIFICATION: Proficiency in Computer Science, Engineering, Information Systems, or a related field.

Key Responsibilities: Design, develop, and maintain solutions using Microsoft Copilot Studio , including both declarative and custom agents Act as a business solutions architect for Microsoft Copilot implementations Gather requirements and design end-to-end solutions in collaboration with business users Develop custom connectors for Microsoft Copilot to extend capabilities Integrate Microsoft Copilot with Power Platform tools like Power Automate , Power Apps , SharePoint , Teams , and external knowledge bases Provide ongoing support and troubleshoot existing Copilot-based solutions Collaborate with cross-functional teams to investigate and resolve integration or design issues Required Qualifications: Bachelor's degree in Computer Science , Engineering , Information Systems , or a related field Strong hands-on experience with the Microsoft Power Platform Proficiency in Microsoft Copilot and Power Apps development Experience integrating REST APIs , Azure services , and custom connectors Familiarity with Copilot AI , Azure OpenAI , LLMs , and general AI development concepts Ability to translate business requirements into scalable technical solutions Strong communication, problem-solving, and analytical skills

As a Founding Principal Engineer on the new Applied AI team within Autodesk's Data and Process Management (DPM) group, you play a crucial role in designing, building, and scaling AI-powered experiences that provide essential Product Lifecycle Management (PLM) and Product Data Management (PDM) capabilities to customers. Your work will involve creating production-grade AI applications that are scalable, resilient, and secure, while also shaping the AI strategy for DPM by identifying opportunities, evaluating emerging technologies, and guiding long-term direction. You will be responsible for fine-tuning, evaluating, and deploying large language models (LLMs) in production environments, while balancing performance, cost, and user experience with real-world data and constraints. Additionally, you will collaborate with other engineering teams to define best practices for AI experimentation, evaluation, and optimization, as well as design frameworks and tools to facilitate the development of AI-powered experiences by other teams. To be successful in this role, you must hold a Masters in computer science, AI, Machine Learning, Data Science, or a related field, and have at least 10 years of experience building scalable cloud-native applications, with a focus on production AI/ML systems for at least 3 years. Deep understanding of LLMs, VLMs, foundation models, and related technologies, along with experience with AWS cloud services and SageMaker Studio is essential. Proficiency in Python or TypeScript, a passion for tackling complex challenges, and the ability to communicate technical concepts clearly to both technical and non-technical audiences are also required. Preferred qualifications include experience in the CAD or manufacturing domain, building AI applications, designing evaluation pipelines for LLM-based systems, and familiarity with tools and frameworks for LLM fine-tuning and orchestration. A passion for mentoring engineering talent, experience with emerging Agentic AI solutions, and contributions to open-source AI projects or publications in the field are considered a plus. Join Autodesk's innovative team to shape the future of AI applications and contribute to building a better world through technology.,

You are a highly skilled and analytical Technical Business Analyst / Product Analyst with a strong background in the Asset and Wealth Management Domain. You have hands-on experience in Artificial Intelligence (AI) technologies, including LLMs like GPT, NLP, and AI-driven solutions. Your role is crucial in bridging the gap between business objectives and cutting-edge AI solutions, driving innovation and digital transformation initiatives. Your responsibilities include collaborating with stakeholders to gather and analyze business requirements related to AI product implementation in the Asset and Wealth Management domain. You will translate business needs into clear, actionable product and technical requirements for development teams. Additionally, you will drive AI product roadmap planning and help prioritize features with tangible business impact. Your role involves conducting deep-dive analyses of wealth and asset management data to identify opportunities for AI automation, personalization, and process optimization. You will partner with data scientists, machine learning engineers, and AI architects to develop and validate AI models, focusing on LLM-based use cases like document summarization, intelligent chatbots, and fraud detection. Leading proof-of-concept (PoC) and pilot projects for AI/ML applications in products such as portfolio risk assessment, client service automation, KYC, compliance monitoring, etc., is another key responsibility. You will monitor AI model performance, suggest continuous improvements, and ensure explainability and regulatory compliance. Staying up-to-date with the latest AI advancements (especially GPT-4/LLMs), asset and wealth management regulations, and competitive intelligence is essential. Required qualifications for this role include 7+ years of experience as a Business Analyst or Product Analyst, with at least 2 years in AI/ML or Generative AI-related initiatives. Proven experience in the Asset and Wealth Management industry is necessary, along with familiarity with AI tools, frameworks, and platforms. Strong understanding of AI concepts such as NLP, machine learning pipelines, LLM fine-tuning, embeddings, and vector databases is expected. You should be able to write detailed BRDs, PRDs, and user stories with technical depth, have experience working in Agile/Scrum environments, and be proficient in SQL, Excel, and at least one data visualization or analysis tool. Excellent communication skills with both technical and non-technical stakeholders are crucial for this role. Preferred qualifications include formal coursework or certification in AI, Machine Learning, or Data Science, hands-on experimentation with GPT APIs or prompt engineering in real-world projects, experience with AI use cases such as intelligent document processing, customer chatbots, RAG pipelines, or automated decision-making, and exposure to MLOps, AI model monitoring, and explainability frameworks.,

You will be working as a Gen AI/ ML Data Scientist at Quadratyx, a global product-centric insight & automation services company. Your role will involve developing machine learning models for recommendation systems and NLP projects to provide actionable insights for product and service optimization. Additionally, you will be responsible for building and maintaining scalable ETL pipelines, optimizing data storage solutions, and ensuring data accuracy for analytics. Your skills in analyzing complex datasets to uncover trends and patterns will be crucial in generating insights that drive strategic decisions and enhance client services. Collaborating with product and service teams to understand data needs and translate them into technical solutions will also be a key aspect of your role. As a Gen AI/ ML Data Scientist, you will report to the Project Manager and work closely with stakeholders to deliver AI & Data Science Enterprise projects. Your technical skills should include proficiency in Python (Pandas, NumPy), SQL, and Java, along with experience in LLMs, Lang Chain, Generative AI technologies, ML frameworks (TensorFlow, PyTorch), and data engineering tools (Spark, Kafka). Strong data analysis skills, the ability to present findings to technical and non-technical stakeholders, and a good understanding of data engineering concepts are essential for this role. Knowledge in Machine Learning, NLP, Recommender systems, personalization, Segmentation, microservices architecture, and API development will also be beneficial. To qualify for this position, you must have a Bachelor's Degree in Computer Science, Data Analytics, Engineering, or a related field, along with 4 to 6 years of experience in data science and data engineering. Strong critical thinking abilities, motivation, work ethic, maturity, personal initiative, and excellent oral and written communication skills are required. You should be adaptable to a fast-paced, dynamic work environment and demonstrate the ability to learn new technologies quickly. Quadratyx is an equal opportunity employer, and candidates will not be differentiated based on religion, caste, gender, language, disabilities, or ethnic group. The company reserves the right to place/move any candidate to any location globally, partner location, or customer location in the best interest of Quadratyx business. If you are interested in this opportunity, kindly email your profile to jobs@quadratyx.com.,

As a Senior Data Scientist, you will utilize your expertise in machine learning, data analysis, and emerging technologies such as LLMs and Gen AI to extract valuable insights from data. Your role involves identifying trends, patterns, and opportunities within structured and unstructured data sets. Proposing and validating AI/ML use cases based on business requirements and stakeholder needs will be a crucial aspect of your responsibilities. You will be responsible for building, evaluating, and deploying machine learning models for various tasks such as classification, regression, and clustering. Additionally, you will collaborate with cross-functional teams to develop intelligent solutions using LLMs and GenAI tools like chatbots, summarization, and content generation. Ensuring data quality, model interpretability, and ethical AI practices will be integral to your work. Documentation of experiments, sharing findings, and active participation in knowledge sharing within the team are also key responsibilities that you will undertake. To excel in this role, you should possess a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field. A minimum of 3-4 years of hands-on experience in data science and machine learning is required. Proficiency in Python and ML libraries, along with experience in data wrangling, feature engineering, and model evaluation, is essential. Familiarity with LLMs and GenAI tools such as Hugging Face, LangChain, and OpenAI APIs is preferred. Exposure to cloud platforms like AWS, GCP, or Azure, and version control systems like Git, will be advantageous. Strong communication and storytelling skills, coupled with a data-driven mindset, are qualities that will help you succeed in this role.,

As an emerging startup community from Uttar Pradesh, Venturelift India is on a mission to simplify outbound sales for startups and MSMEs by leveraging AI and Sales Tech. With a focus on building scalable SaaS products with exceptional UX, we are looking for a product-minded, full-stack developer or technical architect to join us in this exciting journey. In this role, you will have the opportunity to build and iterate on the MVP, incorporating CRM/workflow-like backend with AI integrations. You will be responsible for selecting and implementing the appropriate tech stack and architecture, integrating third-party tools/APIs, and co-leading product decisions, sprints, and roadmap. As we scale, you will also play a key role in building out the early engineering team to ensure security, performance, and scalability of our products. The ideal candidate for this role is someone who thrives on high ownership and is experienced in modern stacks such as Node.js/Python + React. You should be curious about AI tools, LLMs, and sales workflow automation, and have a track record of architecting scalable SaaS products. A willingness to experiment, move fast, and work lean is essential for success in this position. In return for your contributions, you will receive co-founder equity and a long-term leadership stake in the company. You will also benefit from a fast feedback loop with real clients using the MVP, as well as access to early traction, domain knowledge, and an investor network. While not required, it would be a bonus if you have experience working on AI/ML products, have tried building a company before, possess a background in building B2B SaaS or workflow automation platforms, or have knowledge of sales tools or CRMs. Please note that this is not a salaried role; it is an equity-only opportunity at the co-founder level. If you are ready to roll up your sleeves, weather the challenges, and are driven to create something groundbreaking in the era of Artificial Intelligence, we encourage you to apply and be part of our innovative team at Venturelift India.,

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 yourself. We are counting on your unique voice and perspective to help EY become even better. Join us and build an exceptional experience for yourself and contribute to creating a better working world for all. As an EY-Consulting AI Enabled Automation - GenAI/Agentic Manager, we are seeking individuals with strong AI Enabled Automation skills who are passionate about applying AI in the process automation space, including Azure, AI, ML, Deep Learning, NLP, GenAI, large Lang Models (LLM), RAG, Vector DB, Graph DB, and Python. Responsibilities: - Develop and implement AI-enabled automation solutions aligned with business objectives. - Design and deploy Proof of Concepts (POCs) and Points of View (POVs) across various industry verticals to showcase 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), and align with business goals and user needs. - Educate the team on best practices and stay 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. - Proficiency in Deep Learning, Neural Networks, RNNs, CNNs, LSTMs, Transformers (BERT, GPT), and NLP. - Experience in GenAI technologies, LLMs (GPT, Claude, LLaMA), prompting, fine-tuning. - Knowledge of retrieval augmented generation (RAG) and Knowledge Graph RAG. - Experience with multi-agent orchestration, memory, and tool integrations. - Experience implementing MLOps practices and tools (CI/CD for ML, containerization, orchestration, model versioning, and reproducibility). - Experience with cloud platforms (AWS, Azure, GCP) for scalable ML model deployment. - Strong understanding of data pipelines, APIs, and distributed systems. - Ability to build observability into AI systems latency, drift, performance metrics. - Strong 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 provide 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 your professional development in every way possible. You have the flexibility to devote time to what matters to you, in both your business and personal lives. At EY, you can be yourself, express your point of view, energy, and enthusiasm, no matter where you are in the world. This is how you can 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.,

As a Founding AI Engineer, you will be responsible for building the AI Reasoning Layer for Education. You will play a crucial role in reimagining the core intelligence layer for education, addressing the challenging task of subjective assessment automation and ultra-personalized learning at scale. This opportunity goes beyond a typical LLM application as you will be involved in developing a first-principles AI reasoning engine that integrates multi-modal learning, dynamic knowledge graphs, and real-time content generation. The ultimate goal is to revolutionize the education sector by eliminating manual evaluation time wastage and creating an AI system that comprehends the human learning process. Your primary tasks will involve solving complex problems at the cutting edge of LLMs, computer vision, and generative reasoning. You will be working on challenges such as achieving near-human accuracy in Handwriting OCR, real-time learner knowledge modeling, creating generative AI for dynamic video lessons, and building scalable inference infrastructure to support millions of learners in real time. In this role, you will architect, deploy, and optimize multi-modal AI systems including OCR, knowledge-state inference, and adaptive content generation. You will design reasoning engines that merge LLMs, retrieval methods, and learner data to dynamically steer the learning process. Fine-tuning foundation models, implementing advanced techniques, and designing production-grade AI systems will be integral parts of your responsibilities. Additionally, you will lead experiments at the forefront of AI research and have the opportunity to publish your findings. The ideal candidate must possess deep expertise in AI/ML, with a focus on LLMs, multi-modal learning, and computer vision. Hands-on experience with OCR fine-tuning, proficiency in AI frameworks like PyTorch, TensorFlow, and Hugging Face, as well as knowledge of optimizing AI for production are essential requirements. Experience in knowledge graphs, AI-driven reasoning systems, and familiarity with Diffusion Models, Transformers, and GNNs are highly desirable skills. This role offers a unique opportunity to define the AI stack for a groundbreaking product right from its inception. You will have significant ownership across research, engineering, and infrastructure domains, along with founding-level equity in a high-growth company addressing a multi-billion dollar problem in the education sector. If you are passionate about pushing the boundaries of LLMs, CV, and multimodal models, and shaping the foundational AI layer for education, this role is tailored for you.,

The Artificial Intelligence team at TDMM is seeking a dedicated and creative Computer Scientist with a solid background in applied mathematics to contribute to the development of cutting-edge technology, including multimodal systems and Foundation models. As a member of our team, you will have the opportunity to play a key role in our AI initiatives and drive innovation within the financial services sector. Your responsibilities will include leveraging TDMM's diverse multimodal financial datasets and extensive computing resources to accelerate advancements in LLMs and multimodal systems. By working closely with large teams and external collaborators, you will help ensure that our model team remains at the forefront of scientific innovation. Additionally, you will be expected to present your research findings effectively. Basic Qualifications: - PhD or Master's degree with at least 3 years of applied research experience - Over 3 years of experience in developing machine learning models for business applications - Proficiency in programming languages such as Python - Strong background in neural deep learning methods and machine learning techniques - Experience in data-driven model development, time series analytics, stochastic optimization, predictive analytics, and more Preferred Qualifications: - PhD in Computer Science, Mathematics, or a related field - Familiarity with LLMs, vision-based transformers, and multimodal architectures - Thorough understanding of the AI/ML technology stack - Expertise in CNN, Transformer, and Graph Neural Network - Knowledge of basic Reinforcement Learning algorithms - Experience with generative deep learning models like CNNs, GANs, VAEs, etc. - Proficiency in large-scale machine learning systems, including profiling, debugging, and assessing system performance and scalability - Experience in cross-domain/multi-task model training, evaluation using diverse datasets, and deployment across multiple products - Track record of publications in top-tier peer-reviewed conferences or journals If you meet the above qualifications and are excited about the opportunity to work on industry-leading AI technology in the financial services sector, we encourage you to apply.,

You will be joining a dynamic team as an AI Trainer in the AI Learning & Development / Technical Training department. Your primary role will involve designing, developing, and delivering high-quality AI education programs in collaboration with the software product engineering team. As an expert in AI and open-source technologies, you will have the opportunity to mentor and teach the next generation of AI professionals. Your key responsibilities will include collaborating with the engineering team to create industry-aligned AI training programs, conducting training needs analysis, developing customized training roadmaps, delivering large-scale training sessions, workshops, and bootcamps, and incorporating open-source technologies for innovation. You will also mentor learners through projects and assignments to ensure practical skill acquisition, create training content, assessments, and feedback mechanisms for continuous improvement, and stay updated with emerging trends in AI/ML technologies to enhance training programs. To qualify for this role, you should hold a Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field, along with at least 5 years of experience in curating and delivering technical training programs. Strong expertise in open-source AI/ML tools like Python, TensorFlow, PyTorch, Hugging Face, and LangChain is essential. Additionally, you should have experience with LLMs, prompt engineering, vector databases, and AI agent frameworks, along with excellent communication skills to explain complex concepts effectively. Preferred qualifications include familiarity with AI integration in enterprise software products, exposure to cloud platforms and containerization tools, experience in edtech or AI sectors, and contributions to open-source projects or community involvement. Prior experience with AI certification programs from leading providers like AWS, Nvidia, GCP, or Microsoft would be advantageous. In this role, you will have the opportunity to work at the forefront of AI education and innovation, collaborate with a multidisciplinary product engineering team, and contribute to a mission-driven organization focused on real-world impact. You can expect opportunities for growth into strategic leadership, curriculum innovation, or AI evangelism roles, within a supportive and intellectually vibrant work culture that provides access to the latest tools and resources.,

About Us At Manova , we are building a premium blue-collar workforce for India - a segment that powers the country but remains overlooked by tech. We are here to change that. We are starting from the ground up to solve everyday problems faced by workers, while also creating premium services that bring trust, dignity, and quality into this space - something that&aposs long overdue. If youre someone who loves starting from zero, figuring things out, and being part of something that actually matters, wed love to meet you. What We Are Looking For Were looking for a smart, curious, and hands-on person to join our team in Jaipur as a Generalist . This role is perfect for someone who loves doing a bit of everything: from solving day-to-day problems to jumping into strategy or operations when needed. The person should be trained on how to use LLMs for the work. Theres no fixed playbook here, just real impact, fast learning, and a team thats building something exciting together. If you&aposre someone who enjoys figuring things out, taking ownership, and making things happen, youll fit right in. ???? Based in Jaipur (we work best together in person!) ???? Open to folks with 01 years of experience ???? No specific background needed (needs to be a jugaadu person) just bring a can-do attitude ???? Salary Range: Up to INR 25k per month and based on the performance you can get Esops Take a minute to tell us about yourself below. Were excited to meet you! ???? Next Steps: As soon as you fill the form, we will reach out to you on your Contact / Whatsapp Number or Email Id. Show more Show less

Intern Backend Development & Web Scraping (Remote) Duration : 36 months Mindcase is an AI agent company focused on building custom datasets for enterprise clients. We scrape web data, enrich it, and layer insights on top using intelligent agents. We&aposre looking for a motivated intern (ideally a 4th-year student already placed or a graduate) who wants real-world AI exposure before starting their full-time job. What you will do: 50% Web Scraping using Playwright/Selenium 50% Backend Development with frameworks like FastAPI/Flask, working on scalable APIs/LLMs and integrating databases. Collaborate to build and maintain backend systems for efficient data processing and AI model deployment. Requirements: Strong Python skills. Experience with Playwright or similar scraping tools Exposure to AI agents (LangChain, LLMs, etc.). Experience in backend development using frameworks such as FastAPI or Flask. Familiarity with Supabase or similar database management and backend-as-a-service platforms. Prerequisite: You must have built something in this space before. How to Apply: Send an email to [HIDDEN TEXT] and [HIDDEN TEXT] with the following: A 3-line introduction with your top technical skills A link to a short video demo of something you&aposve built using Python + Scraping + AI Show more Show less

About Freshworks Organizations everywhere struggle under the crushing costs and complexities of solutions that promise to simplify their lives. To create a better experience for their customers and employees. To help them grow. Software is a choice that can make or break a business. Create better or worse experiences. Propel or throttle growth. Business software has become a blocker instead of ways to get work done. Theres another option. Freshworks. With a fresh vision for how the world works. At Freshworks, we build uncomplicated service software that delivers exceptional customer and employee experiences. Our enterprise-grade solutions are powerful, yet easy to use, and quick to deliver results. Our people-first approach to AI eliminates friction, making employees more effective and organizations more productive. Over 72,000 companies, including Bridgestone, New Balance, Nucor, S&P Global, and Sony Music, trust Freshworks customer experience (CX) and employee experience (EX) software to fuel customer loyalty and service efficiency. And over 4,500 Freshworks employees make this possible, all around the world. Fresh vision. Real impact. Come build it with us. Job Description Function: Engineering AI Reports To: VP - Engineering AI Team Size: 20 to 40 (Data Scientists, ML Engineers, Software Engineers) We are looking for a Senior Director Engineering AI to lead the charter for machine learning, and GenAI initiatives across Freshworks platform. This leader will be responsible for defining the AI vision, leading high-impact cross-functional programs, embedding intelligence into our product suite, and scaling a world-class data science function globally. Youll operate at the intersection of business, product, and technology steering the strategic use of AI to solve customer problems, improve operational efficiency, and drive revenue growth. Key Responsibilities Strategy & Vision Define and own the AI roadmap aligned with company objectives. Drive the long-term strategy for AI/ML initiatives, and data monetization opportunities. Evangelize a culture of experimentation, evidence-based decision-making, and responsible AI. Team Leadership Hire, mentor, and develop a world-class team of data scientists, machine learning and engineers. Foster a collaborative, inclusive, and high-impact environment with a strong learning and delivery mindset. Cross-functional Leadership Partner closely with Engineering and Product teams to embed ML models into products and services. Collaborate with stakeholders across business functions to identify and prioritize use cases for AI. Technical Execution Oversee development and deployment of scalable ML models, statistical models, NLP solutions, and recommendation engines. Ensure rigorous experimentation and model validation using state-of-the-art techniques. Champion data governance, quality, and security practices. Metrics & Impact Define KPIs and success metrics for data science initiatives. Deliver measurable impact on revenue growth, operational efficiency, and customer experience. Qualifications Professional Experience 1218 years of experience in AI, with at least 5 years in senior leadership roles managing large data science teams. Proven experience delivering ML-based products and solutions in a SaaS or digital platform environment. Demonstrated ability to influence product roadmaps and drive AI strategy in large-scale environments. Technical Expertise Deep understanding of applied machine learning, NLP, deep learning, causal inference, optimization, and GenAI (LLMs, embeddings, retrieval pipelines). Strong hands-on foundation in Python, SQL, Spark, and ML frameworks such as PyTorch, TensorFlow, scikit-learn. Familiarity with modern cloud data stacks (e.g., Snowflake, Databricks, AWS Sagemaker, Vertex AI, LangChain/RAG pipelines). Drive operational efficiency and engineering productivity across AI and data platform teams through streamlined processes, tooling, and automation. Establish and enforce standardized practices for data engineering, model development, and deployment across teams to ensure consistency, quality, and reuse. Champion platform-first thinkingbuilding reusable components, shared services, and self-service capabilities to accelerate experimentation and delivery. Experience with production-grade ML deployment, experimentation, and performance tracking. Leadership & Influence Strong executive presence with the ability to influence senior stakeholders across Product, Engineering, Sales, and Marketing. Effective communication of complex technical concepts to diverse audiences including C-suite, product managers, and non-technical partners. Lead cross-functional initiatives to optimize end-to-end ML workflows, from data ingestion to model monitoring, reducing cycle times and increasing model velocity. Partner with engineering, product, and infrastructure teams to align roadmaps and eliminate friction in building, testing, and deploying AI solutions at scale. Passionate about building a data-driven culture and driving talent development across the organization. Nice to Have Experience in customer experience, CRM, service management, or sales tech domains. Hands-on exposure to LLM fine-tuning, prompt engineering, and GenAI application development. Hands-on experience developing and scaling ML pipelines and models using Databricks and related tools (e.g., MLflow,). etc Participation in AI ethics or responsible AI governance efforts. Open-source contributions or published research in relevant domains. Why Join Freshworks Shape the AI-first future of one of the fastest-growing SaaS companies globally. Build and ship data-driven solutions at scale, impacting 60,000+ businesses. Work with a global leadership team that values innovation, autonomy, and customer-centricity. Additional Information At Freshworks, we are creating a global workplace that enables everyone to find their true potential, purpose, and passion irrespective of their background, gender, race, sexual orientation, religion and ethnicity. We are committed to providing equal opportunity for all and believe that diversity in the workplace creates a more vibrant, richer work environment that advances the goals of our employees, communities and the business. Show more Show less

The company is seeking a skilled and motivated Data Scientist to join the global team at Sloan and contribute significantly to the development of advanced AI platforms supporting Sales, Marketing, and Operations. In this role, you will lead and coordinate data science initiatives with the offshore team in India. Your responsibilities will include designing, constructing, and deploying AI models utilizing Python, R, SQL, and Java, with a particular emphasis on LLMs, forecasting, and customer analytics. By conducting statistical analysis, predictive modeling, and machine learning, you will address practical business challenges such as marketing and sales targeting enhancements, demand forecasting, customer retention modeling, operational efficiency enhancements, cost reduction strategies, advanced reporting, and insights generation. Additionally, you will be tasked with creating clear, compelling data visualizations and conveying insights to non-technical stakeholders. Collaboration with global teams, as well as managing and mentoring the data team in India, will be essential. Ensuring synchronization between U.S. business priorities and the Indian execution teams, taking charge of project schedules, task management, and quality assurance for deliverables will also fall under your purview. Qualified candidates should possess 5-7 years of hands-on experience in Data Science or a related field, advanced programming proficiency in Python, R, Java, and SQL, familiarity with machine learning models, statistical analysis, and data visualization tools, and experience in working with or developing solutions using LLMs. Demonstrated ability to utilize Cloud Services for analytics, previous experience leading or managing data analytics teams, excellent verbal and written communication skills, fluency in English, proactive self-starting abilities, and a bachelor's or master's degree in Computer Science, Engineering, Statistics, Mathematics, Artificial Intelligence, or a related field are necessary. Ideal candidates will reside within a one-hour commute of Sloan, Gurugram, India, and must be available for a full-time, in-office role as remote or hybrid options are not provided. Comfort working in a fast-paced, global environment with U.S.-based colleagues, experience in Multinational Companies (MNC), a self-starting, curious and open-minded attitude towards learning new concepts are preferred. This position requires working in the U.S. shift from 02:00 PM IST to 10:30 PM IST.,

You will be part of a dynamic team working on next-generation SaaS products that utilize AI and LLMs to address real-world challenges on a large scale. As a Full Stack Software Engineer, you will excel in a fast-paced startup setting and be eager to lead features from start to finish. Your primary responsibilities will include creating and managing full-stack features using React.js/Next.js and Node.js/Nest.js, crafting scalable microservices and APIs, working with various databases (RDBMS and NoSQL), and leveraging AI-powered development tools like GitHub Copilot and Cursor. Collaboration with cross-functional teams such as Product, Design, and DevOps is essential to deliver top-notch features. In this role, you will have complete ownership of modules, overseeing them from conception through deployment, while continuously exploring LLM-based APIs, automation tools, and industry best practices. The ideal candidate will possess 3-5 years of hands-on experience in full-stack development, with expertise in React.js, Next.js, Node.js, Nest.js, and TypeScript. A solid grasp of SQL, NoSQL databases, RESTful APIs, and microservices is crucial, along with familiarity with cloud platforms and CI/CD workflows. A proactive attitude, strong problem-solving skills, and hands-on experience with AI-powered tools are highly valued. Exposure to LLMs, prompt engineering, or related APIs is considered advantageous. Additional merits include prior involvement in early-stage SaaS startups, knowledge of product analytics, feature flags, and A/B testing, contributions to open-source projects, and an understanding of secure coding practices and performance optimization. Joining our team offers you the opportunity to work on cutting-edge SaaS products, be part of an ownership-focused environment, influence product and engineering strategies, access state-of-the-art tools and AI technologies, and enjoy a competitive salary, flexible work hours, and equity options.,

As a Senior Architect AI Products supporting Novartis" Commercial function, you will play a crucial role in driving the architectural strategy that facilitates the seamless integration of data and AI products across various key areas such as omnichannel engagement, customer analytics, field operations, and real-world insights. Your responsibilities will involve collaborating with commercial business domains, data platforms, and AI product teams to design scalable, interoperable, and compliant solutions that enhance the impact of data and advanced analytics on healthcare professional and patient engagement. You will be tasked with defining and implementing the reference architecture for commercial data and AI products, ensuring alignment with enterprise standards and business priorities. Additionally, you will architect the integration of data products with AI products and downstream tools, promoting modular, scalable design to encourage reuse and interoperability across different markets and data domains within the commercial landscape. Stakeholder alignment will be a key aspect of your role, as you will partner with various teams to guide solution design, delivery, and lifecycle evolution. Your role will also involve supporting the full lifecycle of data and AI, including ingestion, transformation, model training, inference, and monitoring within secure and compliant environments. It will be essential to ensure that the architecture complies with governance, data privacy, and commercial requirements while constantly seeking opportunities for architectural improvements, modern technologies, and integration patterns to enhance personalization, omnichannel engagement, segmentation, targeting, and performance analytics. To excel in this position, you are expected to demonstrate proven leadership in cross-functional architecture efforts, possess a good understanding of security, compliance, and privacy regulations in the commercial pharma sector, and have experience with pharmaceutical commercial ecosystems and data. A strong background in data platforms, pipelines, and governance, as well as knowledge of AI/ML architectures supporting commercial use cases, will be advantageous. Additionally, a bachelor's or master's degree in computer science, engineering, data science, or a related field, along with at least 10 years of experience in enterprise or solution architecture, are desirable qualifications for this role. Novartis is committed to diversity, equal opportunity, and inclusion, striving to build diverse teams that represent the patients and communities served. By joining Novartis, you will become part of a community of passionate individuals collaborating to achieve breakthroughs that positively impact patients" lives. If you are ready to contribute to creating a brighter future through innovation and collaboration, we invite you to explore career opportunities at Novartis.,

You are an experienced GenAI & Hyperautomation Architect sought to join a digital transformation journey in a purely onsite role in Hyderabad. You are expected to have a minimum of 15 years of experience in driving enterprise-level automation and AI initiatives. This is not a generic BA or developer role but a strategic architect and advisor position, where you will collaborate closely with senior stakeholders to accelerate hyperautomation journey by identifying, analyzing, and executing impactful automation use cases using Generative AI, RPA, and Data Analytics. Your responsibilities will include defining and driving automation and GenAI strategy in line with business objectives, identifying high-impact use cases for RPA and GenAI adoption, designing end-to-end intelligent automation solutions, developing and maintaining an automation pipeline, evaluating emerging technologies, and ensuring solution architecture meets organizational standards. Key Responsibilities: - Define and drive automation and GenAI strategy aligned with business goals. - Identify high-impact use cases across departments for RPA and GenAI adoption. - Design end-to-end intelligent automation solutions integrating GenAI, NLP, ML, and RPA technologies. - Develop and maintain a roadmap of automation opportunities with clear ROI metrics. - Collaborate with business and technical teams to convert ideas into actionable and scalable solutions. - Evaluate emerging technologies and trends in the AI and automation space. - Ensure solution architecture is robust, secure, and compliant with organizational standards. Qualifications Required: - 15+ years of total experience with strong hands-on exposure to GenAI, NLP, and RPA tools (UiPath, Automation Anywhere, etc.). - Proven experience in building automation roadmaps and aligning with enterprise strategy. - Deep understanding of GenAI technologies like LLMs, prompt engineering, fine-tuning, and integration into business processes. - Strong knowledge of business process analysis, ROI calculation, and business case development. - Exceptional communication and stakeholder management skills. - Ability to work onsite full-time from Hyderabad. Please note that this role does not allow for remote work.,