819 Llms Jobs - Page 5

About Hevo: At Hevo, we are changing the way companies leverage data to drive user experience, growth, and business processes. There has been a fundamental change in the amount of data companies are generating on a day-to-day basis. More and more users in an organization are now looking to use data to drive business decisions. Data is no longer a second-class citizen and companies are seeing data as a competitive advantage. We see this change and we are on a mission to change the way companies leverage their data. With a technology platform processing more than 100 billion records a month and doubling itself every 6 months, Hevo is poised for exponential growth in the coming future. This position provides a unique opportunity to create a massive impact on all existing and future customers of Hevo through technology innovation. If you are the one who is looking to take a leap of faith and work on the technology of the future, if you obsess over customer satisfaction and experience then we are looking for you. Role Summary The AI Solutions Engineer will prototype, test, and deliver internal AI applications that improve efficiency across GTM teams (Marketing, Sales, BizOps). The role combines applied AI/ML knowledge, software engineering skills, and a strong understanding of GTM workflows to deliver practical, business-impacting solutions. Key Responsibilities AI Application Development Build internal applications using LLMs and AI APIs (e.g., OpenAI, Anthropic). Integrate AI into GTM tools like HubSpot, Salesforce, LinkedIn, Outreach, Google Sheets, etc. Develop scripts and automations for data enrichment, copy assistance, and reporting. Prototyping & Experimentation Rapidly test new AI models and APIs, validate feasibility, and create MVPs. Evaluate and document performance, accuracy, and usability for GTM use cases. Cross-functional Collaboration Work closely with Marketing, Sales, and BizOps teams to capture pain points and translate them into AI-driven solutions. Provide demos, documentation, and training to internal users. Operational Support Maintain and optimize deployed tools. Ensure compliance, data privacy, and reliability in AI-driven workflows. What Success Looks Like Youve delivered 23 working AI prototypes that GTM teams actively use. Youve automated or optimized at least 2 GTM workflows , saving time and improving accuracy. Youve documented solutions in a way that makes them scalable and transferable. Youve demonstrated measurable impact on GTM productivity (hours saved, efficiency gains, improved decision-making). What Were Looking For Knowledge & Skills: Strong understanding of AI/ML fundamentals (NLP, LLMs, embeddings, prompt engineering). Proficiency in Python and working with APIs (REST/GraphQL). Experience with prototyping tools/frameworks (Flask, FastAPI, Streamlit, or similar). Familiarity with GTM systems such as Salesforce, HubSpot, Marketo, or BI tools (Tableau, Looker). Strong problem-solving skills and ability to rapidly prototype creative solutions. Upto 5 years of experience in building end-to-end applications Abilities: Translate messy GTM data into usable inputs for AI models. Map AI outputs into real-world GTM workflows and processes. Communicate technical solutions clearly to non-technical stakeholders. Balance speed of experimentation with reliability and compliance. Why Join Us Work on cutting-edge AI applications in a high-growth SaaS company. Be part of the GTM innovation function , directly impacting Marketing, Sales, and BizOps productivity. Gain exposure to real-world AI use cases that scale with thousands of customers. Collaborate with cross-functional teams and own end-to-end AI solutions from idea to deployment. Show more Show less

Designation :Python Developer Experience: 4+ Years Candidate/ work Location : Bangalore (Hybrid) Interview Process 1 st Round : Online coding test 2 nd round : technical interview with Panel (Virtual) 3 rd Round : Face to Face (Mandatory ) Job Summary Strong core programming knowledge of Python 3.x. Hands-on experience with Django, Flask and FastAPI frameworks. Experience in developing and consuming REST APIs. Solid understanding of ORM (e.g., Django ORM or SQLAlchemy). Proficiency in working with databases like PostgreSQL, MySQL, or MongoDB. Working knowledge on LLMs and Langfuse. Familiarity with HTML, CSS, and JavaScript is a plus. Experience with version control systems (Git/GitHub). Good understanding of unit testing and debugging tools Show more Show less

As part of our team, you will have the opportunity to work in a dynamic and inclusive environment that fosters diversity and collaboration to build extraordinary teams. With a strong focus on diversity, inclusion, and social responsibility, we are proud to be recognized as one of the world's best places to work. Our commitment to creating a supportive and empowering workplace has led us to be consistently ranked as a top employer by various reputable organizations. You will be working alongside our generalist consultants and the Advanced Analytics Group (AAG) at Bain, where we leverage data science, customer insights, statistics, machine learning, and data engineering to help clients solve complex problems across various industries. Our team members, with diverse educational backgrounds in computer science, engineering, AI, data science, and other quantitative disciplines, collaborate to deliver innovative solutions. As a part of the team, your responsibilities will include designing, developing, and maintaining cloud-based AI applications using a full-stack technology stack to ensure high-quality, scalable, and secure solutions. You will collaborate with cross-functional teams to implement analytics features that meet business requirements and user needs. Additionally, you will deploy and manage analytics applications in cloud environments, develop APIs and microservices, and implement security measures to protect sensitive data. Your role will also involve monitoring application performance, participating in code reviews, staying updated on emerging technologies, and collaborating with DevOps teams to automate deployment processes. Furthermore, you will work with business consulting staff to develop analytics solutions for our clients and support the analytics application engineering capabilities. To be successful in this role, you are required to have a Master's degree in Computer Science or related field, along with expertise in Python, cloud platforms, and server-side technologies. Experience with client-side and server-side technologies, DevOps, CI/CD, and workflow orchestration is essential. You should possess strong interpersonal and communication skills, curiosity, critical thinking, and a solid foundation in computer science fundamentals. If you are passionate about leveraging analytics to drive business solutions, enjoy working in a collaborative environment, and are committed to continuous learning and development, we encourage you to apply. Travel may be required as part of the role.,

We are looking for a highly skilled and experienced Azure open AI Architect to join our team and contribute to the design, development, and implementation of Gen AI solutions, particularly in the domain of chatbots. As the ideal candidate, you should be well-versed in the latest natural language processing and generative AI technologies, capable of producing diverse content formats like text, audio, images, and video. Your primary responsibility will be to integrate general-purpose AI models into our systems effectively to serve a variety of purposes. Your tasks and responsibilities will include collaborating with cross-functional teams to design and implement Gen AI solutions that align with business requirements. You will be responsible for developing, training, testing, and validating the AI system to ensure it meets the necessary standards and functions as intended. Utilizing advanced LLMs such as OpenAI Models, Open Source LLMs like Llama2 and Mistral, as well as frameworks like Langchain and Pandas will be a key part of your role. You will leverage expertise in Transformer/Neural Network models and Vector/Graph Databases to build robust and scalable AI systems. Furthermore, you will integrate AI models into existing systems to enhance their capabilities, create data pipelines for data processing and analysis using Azure services, and implement speech-to-text functionality for user-friendly chatbot interfaces. Your responsibilities will also include deploying and managing Azure services and resources, monitoring and troubleshooting solutions for optimal performance, and ensuring compliance with security and regulatory requirements related to AI solutions. It is essential to stay updated with the latest Azure AI technologies and industry developments, sharing knowledge and best practices with the team. To qualify for this role, you should have at least 8+ years of combined IT experience, with the recent 5 years focusing on AI engineering. A Bachelor's or Master's degree in computer science, information technology, or a related field is required. Additionally, you should possess experience in designing, developing, and delivering successful Gen AI solutions, along with proficiency in Azure Cloud Platform and Azure AI services. Familiarity with OpenAI Models, Open Source LLMs, and Gen AI frameworks, as well as solid understanding of Transformer/Neural Network architectures, are essential. Proficiency in programming languages like Python, relevant industry certifications, excellent problem-solving skills, and strong communication abilities are also necessary for this role. If you have a passion for innovation and a drive to explore the possibilities of Gen AI, we would like to hear from you.,

You are looking for a Senior Data Scientist based in Gurgaon/Delhi with 3-6 years of experience. As a Senior Data Scientist, your primary responsibility will be developing and executing advanced analytics and AI models. Your focus will include driving content personalization, understanding audience insights, and enabling automatic content creation (Audio, Text, Video) using AI. To excel in this role, you should possess in-depth knowledge of machine learning, natural language processing, LLMs, Generative AI, data analysis, and content generation algorithms. Your key responsibilities will involve developing and deploying machine learning models to personalize content, collaborating with content creators to tailor content based on audience interests, analyzing user engagement data to optimize reach and engagement, developing algorithms for automatic content creation using NLP and generation techniques, leading projects to integrate new AI technologies, collaborating with data engineers and IT teams, measuring and optimizing the performance of AI models and algorithms, staying updated on industry trends in AI and data analytics, communicating insights to non-technical stakeholders, and mentoring junior data scientists. To be eligible for this role, you must hold a B.Tech/M.Tech qualification, have 3-6 years of experience in Data Science or a related field, experience with AI models, proficiency in Python/R coding language, expertise in NLP and API development, familiarity with Gen AI, experience in deploying real-time models, exposure to the consumer tech space, and knowledge of MLOPs. If you meet these requirements, you are encouraged to share your CV/references at aayushi.sharma@partner.htdigital.in.,

The ideal candidate for this role should have experience in designing, building, and deploying end-to-end AI solutions with a focus on Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) workflows. You should possess extensive knowledge of large language models, natural language processing techniques, and prompt engineering. Additionally, experience with Oracle Fusion Cloud Applications (ERP and HCM) and their AI capabilities is required. Proficiency in developing AI chatbots using Oracle Digital Assistance (ODA), Fusion APIs, Oracle Integration Cloud (OIC), and genAI services is essential. You should also have experience in testing and validation processes to ensure the accuracy and efficiency of models in real-world scenarios. Familiarity with Oracle Cloud Infrastructure or similar cloud platforms is preferred. Excellent communication and collaboration skills are necessary, with the ability to explain complex technical concepts to both technical and non-technical stakeholders. You should have the ability to analyze problems, identify solutions, make decisions, and demonstrate a willingness to learn, adapt, and grow professionally. It would be advantageous to have experience in LLM architectures, model evaluation, and fine-tuning techniques. Hands-on experience with emerging LLM frameworks and plugins such as LangChain, LlamaIndex, VectorStores, Retrievers, LLM Cache, LLMOps (MLFlow), LMQL, Guidance, etc., is a plus. Proficiency in programming languages (e.g., Java, Python) and databases (e.g., Oracle, MySQL), as well as developing and executing AI over cloud data platforms and associated data stores, Graph Stores, Vector Stores, and pipelines, is beneficial. Knowledge of GPU cluster architecture and leveraging parallel processing for accelerated model training and inference is an added advantage. Understanding of security and compliance requirements for ML/GenAI implementations is also desirable. As an IC3 level professional, your responsibilities will include being a leader and a doer with a vision and desire to contribute to a business with a technical project focus that prioritizes a superior customer experience. You should bring entrepreneurial and innovative flair, develop and prove delivery ideas independently, and share them as examples to enhance the efficiency of solution delivery across EMEA. Working effectively across internal, external, and culturally diverse lines of business to define and deliver customer success is crucial. A proactive approach to tasks, self-learning, self-motivation, results orientation, the ability to work in (virtual) teams, adapt to change, and good communication skills are essential. You should be comfortable in a collaborative, agile environment, have a positive mindset towards change, and possess the ability to present in front of customers. Oracle, a world leader in cloud solutions, leverages tomorrow's technology to address today's challenges. With over 40 years of experience, Oracle partners with industry leaders in various sectors and operates with integrity to drive true innovation. The company is committed to fostering an inclusive workforce that provides opportunities for all individuals. Oracle offers global opportunities that promote work-life balance, competitive benefits, flexible medical, life insurance, and retirement options, as well as volunteer programs for community engagement. The company is dedicated to including people with disabilities in the employment process and provides accessibility assistance or accommodations for disabilities upon request.,

Excited to grow your career At Citi, we are not just building technology, we are shaping the future of banking. Our diverse teams, encompassing a wide range of specialties, roles, and cultures, are dedicated to creating innovative solutions utilized globally. As one of the world's leading banks, Citi is at the forefront of transforming the way business is conducted worldwide. If you believe this position aligns with your career aspirations, we welcome you to apply! Finance, Markets and Credit Risk Technology at Citi plays a crucial role in enabling the bank to achieve its day-to-day operations and long-term growth objectives. Through the provision of services, technical solutions, and infrastructure, our technology solutions ensure compliance with regulatory requirements and empower our businesses to thrive in both the current and future landscapes. In the realm of Finance, Market, and Credit Risk Technology (FMCRT), we are at the forefront of technological advancements. Our products and initiatives adhere to Citis strategic architecture principles, facilitating seamless integration of various global functions within the bank, including Finance, Risk, and Controllers. About the Role: We are seeking a motivated and detail-oriented GenAI Solutions Developer with expertise in Python to join our development team. The ideal candidate will be responsible for designing, developing, and deploying cutting-edge Generative AI solutions, working with LLMs, GenAI APIs, and optimizing them for real-world applications. Responsibilities: - Hands-on development of Application and BackEnd services to ensure reliability, security, and scalability. - Conduct thorough code reviews to ensure adherence to best practices in readability, performance, and security. - Implement secure coding practices, perform vulnerability assessments, and ensure compliance with security standards. - Collaborate effectively in agile environments, embracing DevOps principles and fostering a culture of continuous delivery and improvement. - Drive the adoption of modern engineering practices, including Agile, DevOps, and CI/CD. - Responsible for various data and business process automation projects, troubleshooting, enhancements, and builds. - Routine operational or administrative work. - Daily delivery of routine outputs while developing a broader understanding of the work context. Qualifications: - Minimum 8 years of experience as a Python or Backend Developer. - Strong proficiency in Python and frameworks such as Flask, Django, Pandas, etc. - Hands-on experience with LLMs and related technologies. - Experience designing DB-driven applications and using ORM such as SQLAlchemy. - Exposure to SQL/PL-SQL, RDBMS, or other database systems. - Experience with Kubernetes. - Ability to think strategically and engage resources to achieve objectives. - Good understanding of banking domain and consumer products preferred. - Documentation experience for complex software components. - Experience in product lifecycle implementation. - Bachelor's/Master's degree in computer science or engineering. This job description provides an overview of the work performed. Other job-related duties may be assigned as required. Citi is an equal opportunity and affirmative action employer, inviting all qualified and interested applicants to apply for career opportunities.,

This is a full-time onsite role based in Indore at WeStack AI, a leading company in Generative AI, RAG, and LLMs. We specialize in providing end-to-end product development services and excel in Generative AI, RAG & LLMs, Web Development, Mobile Application Development, Product Design, and DevOps & Cloud Services. As a Back-End Developer at WeStack AI, you will be responsible for tasks related to Back-End Web Development, Software Development, Object-Oriented Programming (OOP), and general programming. The ideal candidate for this role should have 2-4 years of experience and possess strong programming skills in Python/Golang, and Node.js. Additionally, proficiency in building and managing APIs, including RESTful and GraphQL services, is required. You should also have experience with relational or non-relational databases like MongoDB, PostgreSQL, and MySQL, as well as familiarity with RAG workflows and working with LLMs. A basic understanding of Vector Databases such as Pinecone, Weaviate, and Milvus is preferred. Experience with DevOps practices, CI/CD pipelines, containerization (e.g., Docker, Kubernetes), and cloud platforms (e.g., AWS, GCP) is essential. The ideal candidate should possess strong debugging, optimization, and problem-solving skills, along with excellent communication and teamwork abilities. The salary range for this position is between 20k to 40k. Join us at WeStack AI and let's build the future together!,

As a Process Owner at Nokia, you will play a crucial role in defining and monitoring performance targets, driving continuous improvement, and ensuring alignment with Nokia's global process guidelines, particularly in the S2P Source Indirect process area. Your responsibilities will include supporting process issues, acting as a senior specialist and process developer, utilizing workflows and modern technologies within the team. In this role, you will have the opportunity to set and track process performance metrics, implement end-to-end processes, provide cross-functional inputs, drive continuous improvement, optimization, and automation, as well as monitor short-term and long-term process development plans. It will be essential to ensure that processes are well-documented and aligned with global standards, approve process documentation and training plans, align process management with data management, and support process-related IT solutions to meet business requirements. To excel in this position, you should possess the following key skills and experience: - Impact: Contribute to new products, processes, and standards with measurable input. - Scope & Contribution: Operate autonomously, analyze, develop, and implement solutions. Manage policies, plans, and programs. - Innovation: Carry out specialized projects, influence decisions, and adapt to changing environments. - Communication: Engage with internal and external stakeholders, influence acceptance of new concepts, and negotiate operational issues. - Knowledge & Experience: Possess 5-8 years of relevant experience and/or a graduate/postgraduate degree, being recognized as an expert in the field. You should also have proficiency in the following systems and tools: - Ariba (Sourcing, Contracting, Risk Management, P2P Module): Strategic sourcing, contract management, risk management, P2P processes, and supplier collaboration. - S/4 Hana MM Module: Material master data management, procurement processes, inventory management, invoice verification, and integration capabilities. - Modern Technologies (LLM, Gen AI): Utilizing LLMs, Gen AI, AI integration, machine learning, and natural language processing for procurement tasks. Join Nokia, a company committed to innovation and technology leadership across mobile, fixed, and cloud networks. Your career here will not only have a positive impact on people's lives but will also contribute to building a more productive, sustainable, and inclusive world. At Nokia, you will be part of a culture of inclusion, where new ideas are welcomed, risks are encouraged, and authenticity is valued. Nokia offers continuous learning opportunities, well-being programs, support through employee resource groups, mentoring programs, and the chance to work in highly diverse teams with an inclusive culture. As an equal opportunity employer, Nokia is dedicated to creating an inclusive environment where respect is a core value. Join Nokia and be part of a company that values inclusion, empowerment, and success.,

Do you want to be part of a team that delivers innovative products and machine learning solutions across Microsoft to hundreds of millions of users every month The Microsoft Turing team is an innovative engineering and applied research team working on state-of-the-art deep learning models, large language models, and pioneering conversational search experiences. Spearheading the platform and innovation for conversational search and the core copilot experiences across Microsoft's ecosystem, including BizChat, Office, and Windows. As an Applied Scientist- II in the Turing team, you will be involved in tight timeline-based hands-on data science activities, including training models, creating evaluation sets, building infrastructure for training and evaluation, and more. Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees, we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day, we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities As an Applied Scientist on our team, you'll be responsible for and will engage in: - Driving projects from design through implementation, experimentation, and finally shipping to our users. This requires a deep dive into data to identify gaps, come up with heuristics and possible solutions, using LLMs to create the right model or evaluation prompts, and setting up the engineering pipeline or infrastructure to run them. - Coming up with evaluation techniques, datasets, criteria, and metrics for model evaluations. These are often SOTA models or metrics/datasets. - Hands-on ownership of the fine-tuning, use of language models, including dataset creation, filtering, review, and continuous iteration. This requires working in a diverse geographically distributed team environment where collaboration and innovation are valued. You will have an opportunity for a direct impact on the design, functionality, security, performance, scalability, manageability, and supportability of Microsoft products that use our deep learning technology. Qualifications Required Qualifications: - Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research) - OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) - OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field - OR equivalent experience. - 2+ years of industrial experience coding in C++, C#, C, Java, or Python - Prior experience with data analysis or understanding, looking at data from large-scale systems to identify patterns or create evaluation datasets - Familiarity with common machine learning, deep learning frameworks and concepts, using the use of LLMs, prompting. Experience in PyTorch or TensorFlow is a bonus. - Ability to communicate technical details clearly across organizational boundaries. Preferred Qualifications - Solid ability and effectiveness working end-to-end in a challenging technical problem domain (plan, design, execution, continuous release, and service operation). - Prior experience in applying deep learning techniques and driving end-to-end AI product development (Search, Recommendation, NLP, Document Understanding, etc). - Prior experience with Azure or any other cloud pipelines or execution graphs. - Self-driven, results-oriented, high integrity, ability to work collaboratively, solve problems with groups, find win/win solutions, and celebrate successes. - Customer/End-result/Metrics driven in design and development. - Keen ability and motivation to learn, enter new domains, and manage through ambiguity. - Solid publication track records at top conferences like ACL, EMNLP, SIGKDD, AAAI, WSDM, COLING, WWW, NIPS, ICASSP, etc.,

As a Senior AI Engineer at BlackLine, you will play a crucial role in developing and deploying enterprise-ready Generative AI solutions. Your responsibilities will include turning raw data into actionable insights, contributing to innovative solutions, and driving advancements in artificial intelligence. You will be at the forefront of applying generative AI and automation technologies to address real-world business challenges. Your expertise in AI technologies, including vector databases and knowledge graphs, will be instrumental in navigating complexities such as data privacy, security, compliance, and accuracy. You will have the opportunity to explore emerging technologies to enhance AI implementations through workflow automation and enterprise integration technologies. Utilizing platforms like MuleSoft, Workato, or Boomi, you will streamline data flow and ensure seamless system interoperability. In addition, you will design, fine-tune, and deploy state-of-the-art Generative AI models to address enterprise-specific use cases, such as knowledge management, customer support, personalized insights, and content generation. Collaborating with business stakeholders, you will identify high-impact opportunities for applying Generative AI and document their requirements. Furthermore, you will drive decisions on building custom AI solutions or leveraging existing technologies to align with the company's strategic goals and resource constraints. Your technical skills in programming languages like Python or Java, familiarity with cloud platforms such as AWS Bedrock, Azure AI Studios, or Google Cloud Vertex AI, and experience in data preprocessing and feature engineering will be essential in your role. Additionally, your problem-solving abilities, critical thinking skills, and adaptability to a fast-paced environment will contribute to your success at BlackLine. Join us at BlackLine, a technology-based company with a vision for the future and a culture that fosters diversity, inclusivity, and continuous learning. Be part of a winning team that values innovation and empowers its employees to thrive in the world of Finance Automation.,

As the visionary Director of Data Science and AI at Licious, you will lead the development of an AI-driven Agent Factory. This strategic role entails designing, deploying, and managing autonomous agents and workflows to enhance efficiencies across various functions such as engineering, product, and operations. To excel in this position, you should possess a profound background in AI, ML, LLMs, and automation, coupled with leadership experience in scaling intelligent systems within a fast-paced, data-driven environment. Reporting directly to the Chief Technology and Product Officer, your responsibilities will include: Strategic Leadership: - Define the vision, strategy, and roadmap for the Agent Factory initiative in alignment with Licious's business objectives and operational goals. - Lead a high-performing team of data scientists, AI engineers, and ML specialists to create intelligent agents and workflows that drive automation across multiple business functions. - Cultivate a culture of innovation, collaboration, and continuous learning within the team. AI Agent Architecture & Development: - Design and implement scalable, reusable AI agent frameworks to optimize workflow automation, decision-making, and customer experiences. - Utilize technologies such as Large Language Models (LLMs), deep learning, reinforcement learning, and multi-agent systems to develop cutting-edge AI solutions. - Drive initiatives such as customer support automation and personalized recommendations. Cross-Functional Collaboration: - Collaborate with engineering, product, operations, and business stakeholders to identify high-impact automation use cases. - Work closely with senior leadership to integrate intelligent agents and AI-driven solutions into strategic initiatives, enhancing operational efficiency and customer satisfaction. Innovation and R&D: - Stay abreast of advancements in AI/ML, LLMs, multi-agent systems, and autonomous systems to enhance agent capabilities continually. - Encourage experimentation and research in exploring new technologies and methodologies for agent-based solutions and AI-driven innovation. Performance & Scalability: - Ensure the scalability, reliability, and performance of deployed AI agents by adhering to best practices in MLOps and cloud-native architectures. - Define, monitor, and analyze key performance metrics to assess agent efficiency, productivity gains, and business impact. Governance & Compliance: - Establish AI governance frameworks to uphold ethical AI usage, responsible automation, and data privacy compliance. - Promote best practices in security, monitoring, and CI/CD pipelines for intelligent systems. To excel in this role, you should possess: - 10+ years of experience in software engineering, data science, or AI/ML, with at least 5 years in a leadership role. - Proven expertise in building and scaling AI-driven automation systems in complex, data-driven environments. - Strong proficiency in AI, machine learning, deep learning, LLMs, and multi-agent systems. - Hands-on experience with Python and ML frameworks like TensorFlow, PyTorch, or JAX. - Familiarity with cloud platforms (AWS, GCP, or Azure) and modern MLOps practices. - Exceptional leadership, communication, and stakeholder management skills. Preferred qualifications include experience in D2C, e-commerce, or supply chain optimization environments, knowledge of real-time AI applications, and the ability to drive innovation and R&D initiatives that transform business operations. Educational qualifications include a B.Tech/M.Tech/M.S./Ph.D. in a relevant stream of Computer Science from a premier educational institution.,

At o9 Solutions, the mission is crystal clear: to be the Most Valuable Platform (MVP) for enterprises by integrating global enterprises" siloed planning capabilities using the AI-driven platform, the o9 Digital Brain. This integration helps capture significant value leakage, amounting to millions and even billions of dollars. The positive impact extends beyond financial gains as businesses that plan better and faster also contribute towards reducing waste, thereby driving better outcomes for the planet. The company is actively seeking bright and dedicated individuals to join them on this revolutionary mission. They offer a nurturing environment where you can be part of something truly extraordinary and have a real impact on companies and the environment. As part of the product team, your responsibilities will include delivering enterprise planning and execution products for various industries. This involves building o9's products using a combination of technologies, including o9 proprietary platform constructs, databases, and languages on a SaaS infrastructure. You will be tasked with building high availability, low latency products, including centralized monitoring and control panel applications used by o9 teams and customers. Additionally, you will be incorporating machine learning, deep learning, and generative AI capabilities into the products for various use cases and collaborating with different product and implementation teams to lay out deployment plans. To qualify for this role, you should have at least 3 years of experience in software engineering. Expert knowledge of different databases (SQL, Deltalake/Hadoop/Hive, MongoDB, etc.), languages (Python, C, Javascript), and their scalability techniques and limitations is essential. Advanced knowledge of machine learning, deep learning, LLM's, and a proven ability to deliver is required. You should have experience delivering complex products and solutions with a multi-technology landscape in a scalable and efficient manner. Proficiency in cloud infrastructure, QA automation software (Selenium, Telerik), continuous integration tools (Jenkins), and working with R, Python, and Javascript-based solutions is necessary. The ability to thrive in a fast-paced, high-performance culture is crucial. o9 Solutions offers a competitive salary along with social activities for remote work and a flat organizational structure without corporate politics. You will have the opportunity to work in a supportive environment with a diverse team from around the world. With its recent Unicorn status, o9 Solutions is rapidly growing as one of the leading AI-powered digital transformation companies globally. The o9 platform, or digital brain, is the premier AI-powered, cloud-based platform driving digital transformations for major global enterprises like Google, Walmart, and Starbucks. Headquarters are in Dallas, with offices in multiple locations worldwide.,

As a Software Architect at NHR Technologies, you will leverage your 8+ years of experience in software architecture & engineering to design, develop, and scale enterprise-grade SaaS applications. Your role involves deep expertise in cloud-based architectures, microservices, API-driven development, and multi-tenant SaaS solutions. You will play a crucial role in integrating AI/ML capabilities, ensuring security, performance, and compliance, while guiding the engineering team towards scalable and maintainable solutions. Your responsibilities will include defining and developing the architecture of the SaaS platform with a focus on scalability, high availability, and multi-tenancy. You will lead end-to-end application development, implement event-driven and microservices-based architectures, and ensure robust API design and integration with third-party services. Optimizing database schemas and queries for performance and scalability will be a key aspect of your role. Architecting cloud-based deployments using AWS, Azure, or GCP, implementing CI/CD pipelines, and optimizing cloud cost, security, and compliance will also fall under your purview. Collaboration with data science teams to integrate AI/ML models, designing real-time data processing pipelines, and ensuring performance, security, and compliance best practices will be essential parts of your role. Additionally, you will lead engineering discussions, mentor developers, define best practices, and drive technical decisions that align with business goals and product roadmaps. Your technical expertise will include a core technology stack comprising Frontend technologies like React.js, Backend technologies like Node.js, Cloud & DevOps tools such as AWS Lambda and Kubernetes, Event-Driven Systems like Kafka, and Security & Compliance practices including OAuth and JWT. Ideal candidates will possess a Bachelors or Masters degree in Computer Science or related field, have experience in fast-paced startups or product-based companies, and hold certifications in AWS, Azure, or Kubernetes. Preferred experience in multi-tenant SaaS, microservices & APIs, AI/ML in SaaS, and Testing & Quality Assurance will be advantageous for this role.,

You are a highly skilled and innovative Implementation Lead with expertise in Python, Prompt Engineering, and Full Stack Development. You will be responsible for driving the execution of complex technology projects within our Technology and Innovation team. With 6-10 years of experience in software development, AI-driven workflows, and building scalable web applications, you possess the technical expertise, leadership, and collaboration skills required to deliver impactful solutions successfully. Your key responsibilities include overseeing the design, development, and deployment of Python-based AI solutions and full stack applications. You will ensure the seamless integration of AI-driven automation into existing systems and develop AI automation scripts while optimizing prompt strategies for AI applications. Additionally, you will build web applications using modern front-end and back-end technologies and design and optimize databases for performance and scalability. As an Implementation Lead, you will implement and fine-tune large language models (LLMs) for enhanced automation, create AI-driven agents to automate business workflows, and align solutions with business objectives by working closely with engineering, product, and business teams. Your ability to communicate technical concepts effectively to non-technical stakeholders and mentor teams in best practices and cutting-edge technology implementations will be crucial. Key traits and skills for this role include technical expertise in Python and full stack development, strong problem-solving abilities, effective collaboration and communication skills, leadership experience, and a passion for innovation. A Bachelor's or Master's degree in Computer Science, Data Science, or a related field, along with 6-10 years of experience leading and implementing Python and full stack development projects, are required qualifications. Your technical skills should include expertise in Python, Prompt Engineering, AI-driven automation, full stack development (Angular, React, Node.js, FastAPI, Django), LLMs, AI-driven workflows, and database management (SQL, NoSQL, Vector DB, Distributed Systems). Proficiency in cloud platforms (AWS, Azure, GCP), Git, Agile methodologies, and CI/CD pipelines is also essential for this role. Join us in fostering a culture of innovation by integrating emerging technologies into strategic initiatives.,

TheMathCompany or MathCo is a global Enterprise AI and Analytics company trusted for data-driven decision-making by leading Fortune 500 and Global 2000 enterprises. Founded in 2016, MathCo builds custom AI and advanced analytics solutions focused on enterprise problem-solving through its innovative hybrid model. NucliOS, MathCos proprietary platform with pre-built workflows and reusable plug-and-play modules, enables the vision of connected intelligence at a lower TCO. For our employees, we foster an open, transparent, and collaborative culture with no barriers, making MathCo a great place to work. We provide exciting growth opportunities, value capabilities, and attitude over experience, enabling the Mathemagicians to Leave a Mark. Responsibilities Responsible for designing, building, and maintaining scalable AI solutions Develop and implement advanced Generative AI solutions (LLMs, embeddings, retrieval techniques, prompt engineering) Ensure that data architectures and infrastructure can scale seamlessly as the data volume and complexity grow Lead, mentor, and develop a team of AI Engineers, fostering a collaborative and inclusive team environment Identify and address skill gaps, and provide opportunities for professional development Coordinate with stakeholders to gather requirements, set priorities, and define project timelines Ensure projects align with overall business objectives and data strategy Ensure data quality, integrity, and security across all data engineering projects Identify opportunities for process improvements and drive initiatives to enhance the efficiency and effectiveness of data operations Ability to build/drive reusable frameworks that can drive efficiency of the overall data system Manages conversation with the client stakeholders to understand the requirement and translate it into technical outcomes Required Skills (Must have) Tech: Experience of 4.5 - 7 years in development and deployment of scalable AI/ML solutions Has strong execution knowledge of Data Modeling, Databases in general (SQL and NoSQL), software development lifecycle and practices, unit testing, functional programming, etc Develop and implement advanced Generative AI solutions (LLMs, embeddings, retrieval techniques, prompt engineering) Design and optimize Retrieval-Augmented Generation (RAG) solutions Manage Databricks workflows, including job and cluster creation also Databricks API Apply data structures and algorithms knowledge, including multiprocessing and optimization techniques Utilize Python libraries (Pandas, Numpy, FastAPI) for data processing and API development Perform SQL optimization and database architecture design (schema creation, normalization, functions, triggers) Deploy and orchestrate AI models using Docker and Kubernetes Collaborate using GitHub for version control and team collaboration Work with cloud platforms for AI solution deployment and management (Azure, GCP, AWS) Utilize PySpark for data processing (optional) Basic understanding of CI/CD pipelines and deployment process Non-Tech: Strong problem-solving skills with an ability to assess the financial impact of decisions, both in running the delivery team and delivering solutions to clients Proficient in written and verbal communication and able to hold conversations with mid-management-level clients Ability to recognize pragmatic alternatives vis--vis a perfect solution and get the delivery teams on board to pursue them, balancing time priorities with potential business impact Strong people skills, including conflict resolution, empathy, communication, listening, and negotiation Shows proficiency in providing technical guidance and provide leadership and mentorship to the delivery team Self-driven with a strong sense of ownership Good to Have Skills Familiarity with data visualization tools and techniques Knowledge of data security and privacy practices Understanding of data governance and compliance frameworks Experience with graph databases and graph processing frameworks Experience with data virtualization and data federation techniques Proficiency in data profiling and data quality management Show more Show less

Location - Airoli, Mumbai Contract Duration - 9 months (Extendable to a year) Key Responsibilities: Design and implement scalable data intelligence platforms that integrate structured and unstructured data sources. Develop and fine-tune Generative AI models (LLMs, GANs, Diffusion Models) for tasks such as text generation, synthetic data creation, and content automation. Collaborate with data engineers, ML engineers, and product teams to deploy AI solutions into production environments. Build and maintain data pipelines , feature stores, and model monitoring systems. Apply prompt engineering techniques to optimize LLM performance for business use cases. Conduct experiments and A/B testing to evaluate model performance and business impact. Ensure compliance with data governance, privacy, and ethical AI standards. Expertise in AKS. Should be able to integrate the solution in current landscape. Required Qualifications: Bachelors or Masters degree in Computer Science, Data Science, AI, or related field. 3-5 years of experience in data science, machine learning, or AI engineering. Hands-on experience with LLMs (e.g., GPT, Claude, LLaMA) and frameworks like Hugging Face, LangChain, or OpenAI APIs. Proficiency in Python , SQL, and cloud platforms (AWS, Azure, or GCP). Strong understanding of data modeling , ETL processes , and MLOps . Experience with vector databases , embedding models , and retrieval-augmented generation (RAG) is a plus. Preferred Skills: Experience with knowledge graphs , semantic search , or data fabric architectures . Familiarity with AutoML , RLHF , or multi-modal AI . Excellent communication and stakeholder management skills. Show more Show less

As an experienced AI/ML Engineer, you will be an integral part of our team working on Mizzle Mate, an AI-driven DevOps automation platform. Your primary responsibility will be to design, develop, and deploy AI/ML models for predictive analytics, anomaly detection, and intelligent automation within Mizzle Mate. You will also work on developing NLP-based chatbots, AI-driven observability, and automated monitoring solutions to enhance the platform's capabilities. Utilizing your expertise in artificial intelligence, machine learning, and data science, you will collaborate with DevOps, cloud engineers, and software developers to integrate AI solutions seamlessly into Mizzle's cloud ecosystem. Furthermore, you will research and implement cutting-edge AI/ML techniques such as deep learning, reinforcement learning, and generative AI to keep our platform at the forefront of innovation. Your role will also involve optimizing ML models for performance, scalability, and real-time inference, as well as implementing AI-based recommendations for infrastructure optimization, security compliance, and incident resolution. Additionally, you will be responsible for developing APIs and AI microservices to integrate with Mizzle's IAM, compute, storage, and GPU services while ensuring data security, compliance, and governance. To be successful in this position, you should hold a Bachelors/Masters degree in Computer Science, AI, Data Science, or related fields, along with a minimum of 3 years of experience in AI/ML development, preferably in cloud, DevOps, or security domains. Strong programming skills in Python, TensorFlow, PyTorch, or Scikit-learn are essential, as well as experience with NLP, LLMs, and generative AI frameworks. Familiarity with MLOps, model deployment, CI/CD pipelines, AWS/GCP/Azure AI services, Kubernetes, big data, distributed computing, and real-time analytics is also required. Candidates with expertise in cybersecurity, OWASP standards, and AI-driven threat detection will be preferred. Knowledge of vector databases, embedding models, and retrieval-augmented generation (RAG) will be considered a plus. Your problem-solving skills and ability to thrive in a fast-paced environment will be key to your success in this role. Preferred qualifications include experience in DevOps AI, AIOps, self-healing infrastructure, blockchain-based AI solutions, federated learning, and privacy-preserving AI techniques.,

Job Description Job Title: AI Architect Location: Hyd/Mum/Bang Exp Level: 15+ Education: Any Dgree Job Summary: Scope out, design and oversee the architecture of AI and machine learning solutions across products and platforms for our clients Collaborate with team members to translate business requirements into AI-enabled solutions at either a Roadmap, Proof of Value, Full Implementation or Managed Service support capability and service offering. Aid in the selection of appropriate tools, frameworks, and technologies for AI development in the Google (GCP) cloud using related technologies. Create reusable and scalable AI models and pipelines for our clients thereby ensuring performance, reliability, and security. Develop and enforce best practices for model governance, MLOps, and responsible AI. Evaluate and integrate third-party AI services and APIs when needed. Drive innovation by staying current with AI trends and emerging technologies (e.g., LLMs, edge AI). Required Qualifications: Bachelor&aposs or Masters degree in Computer Science, Data Science, AI, or related field. 7+ years of experience in software development, with at least 3 years in AI/ML architecture roles. Strong proficiency in machine learning, deep learning, data engineering, and distributed systems. Experience with Google cloud-based AI platforms such as Google Vertex AI. Proficiency in Python and experience with ML libraries. Solid understanding of AI data governance, model explainability, and ethical AI principles. Excellent communication skills to work with both technical and non-technical stakeholders. Demonstrated experience delivering scalable AI projects that drive business value. Preferred Skills: Experience deploying generative AI models and LLMs leveraging RAG models (e.g., GPT, Google, Claude, open-source models). Familiarity with containerization (Docker, Kubernetes) and CI/CD for ML. Knowledge of NLP, computer vision, or reinforcement learning. Hands-on development and support of AI solutions. Solid client communication skills. About Us Datavail is a leading provider of data management, application development, analytics, and cloud services, with more than 1,000 professionals helping clients build and manage applications and data via a world-class tech-enabled delivery platform and software solutions across all leading technologies. For more than 17 years, Datavail has worked with thousands of companies spanning different industries and sizes, and is an AWS Advanced Tier Consulting Partner, a Microsoft Solutions Partner for Data & AI and Digital & App Innovation (Azure), an Oracle Partner, and a MySQL Partner. About The Team The Enterprise Applications Cloud ERP practice specializes on Oracle technology and supports our clients full-life cycle needs for both on-prem and cloud products. The practice itself is 100+ FTEs strong located in the US, Colombia, and India and is the fastest growing practice in Datavail. The right person will exemplify Datavails core values (Desire to service, Low Ego, Hard Work). So if you are looking for a company that loves it clients just as much we love our team then this is the right place for you. Show more Show less

Who We Are Short video abous us We are a team of Ecommerce enthusiasts, passionate about using technology to simplify Digital Commerce and Payments for brands across the globe. Paxcom a leading Digital Solution Provider is a part of Paymentus now, a leading electronic bill payment provider. PaymentUs leads the North American marketplace in electronic bill payment solutions and have recently signed a partnership with Paypal, Alexa and Walmart. For more details, please visit www.paymentus.com & www.paxcom.ai Job Position : Associate Lead AI/ML Engineering Job Location: Gurgaon (Work From Office) Job Summary We are looking for an experienced and visionary Associate Lead AI/ML Engineer to join our fast-growing E-commerce team. This role demands technical mastery, deep knowledge across AI/ML domains, and the ability to design scalable, secure ML systems for real-world applications. You will not only contribute as a hands-on expert but also help shape our AI strategy, mentor team members, and collaborate closely with stakeholders across technology and business functions. Key Responsibilities Architect, build, and deploy end-to-end ML systems at scale on cloud platforms (AWS, GCP, Azure). Lead the technical design and evaluation of ML models and MLOps frameworks, ensuring alignment with business goals and system constraints. Drive innovation across key AI domains such as NLP (incl. LLMs), Predictive Analytics, and optionally Computer Vision or Recommendation Engines. Mentor and guide engineers, fostering a culture of high performance, collaboration, and continuous learning. Partner with product and business stakeholders to define project roadmaps, validate impact, and deliver AI-powered features. Stay ahead of the curve with advancements in AI/ML, proactively identifying opportunities to apply them in business contexts. Essential Technical Expertise: Proven hands-on experience as a Senior ML Engineer or equivalent role, with deep expertise in ML system development. Cloud ML Systems: Strong background in designing and deploying secure, scalable AI systems on AWS, GCP, or Azure. AI Breadth: In-depth knowledge in at least two of the following: NLP/LLMs, Predictive Analytics, Computer Vision, Recommendation Systems. Model Evaluation: Ability to assess trade-offs across different models, frameworks, and tools with respect to performance, cost, and speed. Continuous Learning: Active follower of AI/ML advancements, with a track record of bringing innovative solutions into production. Desirable Business Acumen: Ability to tie ML solutions to key business KPIs, build business cases, and understand cost structures (e.g., token vs. hosting costs). Client Communication: Strong interpersonal skills with experience engaging senior stakeholders and translating complex tech into business value. Product Thinking: Skilled at turning abstract AI visions into executable, revenue-impacting roadmaps. Leadership: Demonstrated ability to mentor and grow engineering talent, with a hands-on leadership style. Security & Ethics: A mindset that prioritizes secure, privacy-compliant, and ethically sound AI development. What we expect from you You have the ability to work in a fast-paced environment adapting to changing priorities You are focused and detail oriented but know when to seek help from others You have excellent written and verbal communication skills to articulate problems and solutions to both technical and non-technical audiences You possess superior troubleshooting and analytical skills to determine the root cause of issues You strive to identify areas of improvement and work proactively to prevent issues from occurring You are a self-starter with an appreciation for tackling technical challenges of varying complexity You are diligent when making decisions and can easily justify your actions. Why Join us You hate micromanagement and freedom to work is important to you Enjoy flexible and relaxed work environment Work life Balance is important to you Enjoy Motivating Working Conditions A friendly, Supportive, Professional and achievement-oriented management team Competitive remuneration An opportunity to learn new things every day and work on latest technologies Show more Show less

Job Title: Mid-Level Engineer (AI/ML) Experience Required: 2 to 4 years Location: [ Hybrid- Aziro Locations] Job Description: We are looking for a mid-level engineer with strong programming and applied machine learning expertise. The candidate should have hands-on experience in building and deploying ML/Generative AI models, with proven skills in NLP and Large Language Models. The role will involve working on scalable solutions using GCP services, CI/CD pipelines, and containerized deployments. Key Responsibilities: Design, develop, and deploy ML/Generative AI models into production. Apply NLP, LLMs/SLMs for solving real-world business problems. Implement and optimize MLOps workflows for automation, monitoring, and scalability. Build and maintain data pipelines leveraging BigQuery, CloudSQL, Cloud Run, and other GCP services . Collaborate with cross-functional teams to deliver AI-driven solutions. Support CI/CD pipelines and enable deployments via Docker/Kubernetes . Required Skills: 24 years of hands-on experience in software engineering or applied ML. Strong programming proficiency in Python . Expertise in Machine Learning, Generative AI, and MLOps . Proven experience in Natural Language Processing (NLP), LLMs/SLMs . Proficiency in GCP services (BigQuery, Cloud Run, CloudSQL, etc.) . Familiarity with CI/CD tools and deployment automation . Nice to Have: Experience with Docker/Kubernetes . Exposure to GenAI frameworks like HuggingFace, LangChain, etc. Strong problem-solving and collaboration skills.

Craft, test, and optimize AI prompts to generate legally accurate and commercially useful outputs. Leverage legal knowledge (laws, regulations, contracts, precedents) to guide AI behavior and ensure contextually correct results. Collaborate with AI engineers and product managers to align AI performance with customer needs and product strategy. Identify gaps in AI-generated legal outputs and suggest improvements for training and fine-tuning. Conduct research on evolving legal frameworks and integrate learnings into prompting strategies. Document and maintain best practices for legal prompting within the team. Act as the bridge between legal domain expertise and AI model development. Qualifications Education: Law degree (LL.B / J.D. or equivalent) from a recognized institution. Experience: Prior experience at a law firm or in-house legal team (internships or full-time roles). Strong knowledge of contract law, corporate law, or related legal domains. Excellent analytical and drafting skills with a keen eye for detail. Strong interest in AI, legal technology, and innovation. Ability to communicate complex legal concepts clearly to technical and product teams. Self-motivated, curious, and comfortable working in a fast-paced startup environment. Preferred Skills Exposure to legal tech platforms, CLM systems, or AI-driven tools. Familiarity with prompting large language models (LLMs). Cross-functional collaboration experience (legal + tech/product teams).

As a GenAI Developer specializing in AI & NLP, you will be responsible for designing and deploying AI models focusing on LLMs, RAG, and NLP to support Rabbits" marketing automation suite. Your role will involve collaborating with the engineering team to integrate cutting-edge AI features into products using tools like Python, React, Azure, and Postgres. Additionally, you will be tasked with building and refining data pipelines to enhance data quality, conducting performance monitoring, and ensuring optimal AI model functionality through A/B testing. Your responsibilities will also include exploring the latest AI advancements to solve industry-specific challenges within the marketing automation domain. You will need to develop scalable and efficient AI models that integrate smoothly with Rabbits" existing technology stack. Furthermore, you will play a key role in mentoring junior team members, providing technical guidance, and fostering a collaborative and innovative environment. To qualify for this role, you should have a Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field. You must have at least 3 years of experience working with LLMs, RAG, and NLP technologies, showcasing relevant projects. Proficiency in Python, familiarity with frameworks like React, and databases such as Postgres is essential. Your ability to translate advanced AI/ML concepts into practical business-focused solutions, coupled with strong problem-solving skills and domain knowledge in marketing, will be crucial. We are looking for individuals with a curiosity to learn and adapt quickly to new AI technologies and methodologies. If you thrive in a fast-paced, evolving environment, ideally within a startup or product development setting, and are passionate about leveraging AI to solve industry-specific challenges, we encourage you to apply for this position.,

As a Senior Manager with over 15 years of experience in the field, you will be responsible for leveraging your expertise in data science, machine learning, and applied statistics. You should hold a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related field to excel in this role. Your proficiency in programming languages such as Python, R, and SQL will be crucial for success in this position. Additionally, experience with data visualization tools like Tableau, Power BI, Matplotlib, and Seaborn will be advantageous. Specifically, you will showcase your expertise in Generative AI Engineering/Architecture, including LLMs and hyperparameters across platforms like Azure, AWS, GCP, and Open Source. Your knowledge of Embedding models, vector databases, Prompting Techniques (Zero shot, few shot, chain of thought), Langchain, and Pydantic will be highly valued. Familiarity with machine learning libraries and frameworks such as Scikit-learn, TensorFlow, Keras, and PyTorch is essential. Previous experience with cloud platforms like AWS, GCP, or Azure will further enhance your suitability for this role. In addition to technical skills, strong analytical, problem-solving, and communication abilities are key traits we are looking for in a candidate. If you are passionate about data science and eager to contribute your expertise to a dynamic team, we encourage you to reach out to us at harshada@credencehrservices.com for further information.,

We are looking for an experienced and innovative AI Product Lead to shape and execute our AI product strategy within the construction and built environment sector. Your role will involve developing tools that utilize generative AI, data extraction, and specialized knowledge to enhance workflows, ensure compliance, and facilitate decision-making in civil, MEP, and architectural fields. In this senior leadership position within a dynamic and hands-on setting, you will oversee product development for various AI projects, such as the Knowledge Engine and Review Engine. Additionally, you will be involved in business planning, product commercialization, and engaging with customers to address real-world construction challenges effectively. Your responsibilities will include owning the AI product vision and roadmap, aligning them with business goals and evolving customer requirements. You will lead the entire product development lifecycle of AI solutions, collaborating with engineering, UX, domain experts, and delivery teams to deliver impactful features. User discovery activities with internal stakeholders and pilot customers will be conducted to validate use cases, usability, and return on investment. Furthermore, you will work on creating financial models, pricing structures, and business cases for proposed tools or features, as well as developing go-to-market strategies and adoption plans. Staying abreast of AI advancements, especially in multimodal models, compliance automation, and industry-specific ontologies, will be crucial. Ensuring the scalability, reliability, and maintainability of solutions in enterprise environments is another key aspect of the role. Your qualifications should include a total of 15 years of experience, with over 10 years in product leadership roles within B2B technology, enterprise software, or infrastructure sectors. You should have a track record of successfully delivering AI-enabled or data-centric products, particularly in regulated industries like construction and engineering. Strong financial acumen, excellent communication skills, and experience with modern AI technologies are essential. Familiarity with construction documents, standards, and workflows is advantageous, along with experience leading cross-functional teams using Agile/Scrum methodologies. Preferred qualifications include exposure to tools like Azure OpenAI, Revit, IFC, or AutoCAD in production environments, as well as experience delivering solutions for enterprise-secured environments. Additionally, the ability to contribute to technical solutioning and vendor/platform evaluations is beneficial. Join us and be part of a pioneering team that is revolutionizing the built environment with AI tools. Lead impactful projects that enhance efficiency and intelligence in infrastructure and design workflows, with the autonomy to shape and scale the product strategy. Collaborate with experienced professionals who are dedicated to shaping the future of construction.,