90 Generative Ai Jobs - Page 4

Role Overview: You will be working as a Data Scientist for Quick Heal, focusing on applying Generative AI, NLP, and machine learning to enhance detection, intelligence, and automation capabilities across multiple cybersecurity products. This role involves a combination of applied research, experimentation, and hands-on engineering to bring ideas from prototype to production in an enterprise product environment. You will collaborate closely with product, engineering, and security research teams to solve security problems involving large-scale, noisy, and adversarial data. Key Responsibilities: - Design and implement GenAI and NLP solutions for various cybersecurity products and use cases - Bu...

As an Associate Lead Data Scientist, you will have the exciting opportunity to work with a dynamic team of researchers, data scientists, and developers. Your primary focus will be on developing and optimizing cutting-edge AI solutions in various industries such as commerce, agriculture, insurance, financial markets, and procurement. Here is a breakdown of your responsibilities: Key Responsibilities: - Develop, optimize, and lead ML, NLP, Deep Learning, and Generative AI model/projects. - Research and implement state-of-the-art algorithms for supervised and unsupervised learning. - Handle large-scale datasets in distributed environments. - Apply the best ML approaches based on an understandin...

Role Overview: As an AI/ML Engineer at EY, you will have the opportunity to build a career within a global organization that supports your unique voice and perspective. You will play a crucial role in developing AI/ML models to drive valuable insights and enhance decision-making processes across various business lines. Your contributions will be essential in creating a better working world for all. Key Responsibilities: - Develop robust AI/ML models to optimize customer experiences, revenue generation, ad targeting, and other business outcomes. - Utilize predictive modeling techniques such as SVM, Decision Trees, Neural Networks, Random Forests, Gradient Boosting, etc., to solve complex prob...

We are seeking a highly skilled GenAI Architect to lead the design, development, and implementation of Generative AI enabled engineering frameworks across the organization. The ideal candidate will possess deep expertise in AI/ML technologies, SDLC modernization, LLM tooling, and the integration of AI-assisted development practices into enterprise engineering ecosystems. This role will play a critical part in shaping the future of AI-driven software delivery. Required Skills & Experience 10 to 15 years of overall experience in software engineering, architecture, or AI/ML technologies. Minimum 3 to 5 years of hands-on experience with Generative AI, LLMs, RAG frameworks, vector databases, and ...

Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! Adobe is seeking an ex...

As an AI Developer at our company, you will be responsible for developing, training, and deploying AI and Generative AI (GenAI) systems using Python and frameworks like PyTorch. You will work on large language models (LLMs) such as GPT-4o, Llama, Mixtral, and related SLMs (Phi, Gamma, Triplex). Your role will involve implementing prompt engineering, data preprocessing, model fine-tuning, and evaluation pipelines to build AI solutions across various domains including NLP, computer vision, deep learning, and other AI applications. Additionally, you will utilize MLOps, CI/CD, cloud computing, and containerization for production-ready model deployment. You will work with tools like Databricks, S...

Position Summary... Drives the execution of multiple business plans and projects by identifying customer and operational needs; developing and communicating business plans and priorities; removing barriers and obstacles that impact performance; providing resources; identifying performance standards; measuring progress and adjusting performance accordingly; developing contingency plans; and demonstrating adaptability and supporting continuous learning. Provides supervision and development opportunities for associates by selecting and training; mentoring; assigning duties; building a team-based work environment; establishing performance expectations and conducting regular performance evaluatio...

Area(s) of responsibility We are seeking a skilled 5+ years experienced Python NLP Engineer with a focus on Generative AI to join our dynamic team. The successful candidate will primarily work on developing our natural language processing capabilities and contribute to the evolution of our suite of legal generative-AI applications. This person will collaborate with product managers, backend and front-end developers and data scientists to deliver cutting-edge AI solutions. Duties And Responsibilities Design, develop, and maintain sophisticated NLP and Generative AI applications in Python. Design and implement back-end APIs to deliver Python services to front-end applications using FastAPI and...

Job Description We are seeking a hands-on AI Technical Leader with deep expertise in Generative AI and Agentic AI to spearhead the design, development, and delivery of next generation AI platforms and products. This role combines technical leadership, presales excellence, DevOps know-how, and executive presence. The successful candidate will be equally comfortable writing production-grade code, leading engineering teams, and presenting transformative AI solutions to C-level executives. You will play a pivotal role in building modern AI platforms, driving innovation and delivery excellence, and winning strategic deals by shaping and articulating compelling AI-led solutions. Primary Skills Key...

Key Responsibilities: Invent research envision design solution and deliver AI ML applications at scale delivering measurable value Build end to end AI ML solutions Develop refine implement customize and deploy state of the art Machine Learning algorithms and systems and AI models Designing developing and researching Machine Learning systems models and schemas through data science and data analytics prototypes Continuous learning Certifications Technical Requirements: Must have worked with Data science ML Python and MLOps Design build and deploy Hyperscalers based Azure AWS GCP or Databricks ML models including large scale data processing computationally intensive statistical modeling and adv...

You will join our team that specializes in delivering digital transformation solutions for information extraction from structured and semi-structured documents. The focus will be on working with our Foreseer platform, a human-in-the-loop system that integrates the latest AI/ML technologies with a cutting-edge UI, all within a distributed, cloud-native framework. The team comprises experts proficient in Java, Python, and machine learning. Key Responsibilities: - Develop and implement solutions using Java/J2EE and related frameworks such as Spring, RESTful services, and Spring Boot. - Utilize AI technologies like Generative AI, NLP, or Computer Vision to enhance the platform's capabilities. - ...

As a GenAI Python developer at our company, you will be responsible for building high-performing responsive web applications. Key Responsibilities: - Lead the design and implementation of the GenAI project using Python - Work extensively with Python libraries such as langchain, Flask, Streamlit, Chainlit, Gradio, etc. - Ensure the performance, quality, and responsiveness of applications - Collaborate with the team to define design and ship new features - Identify and correct bottlenecks and fix bugs - Help maintain code quality, organization, and automatization - Evaluate the Gen AI solutions with relevant metrics, relevancy, correctness, etc. Technical Requirements: - Primary skills in GenA...

As an innovative Full Stack Engineering Lead at Citi, you will have the exciting opportunity to drive the technical direction of products and services, instill engineering best practices, and promote cultural change across the organization. You will be part of the Operations Engineering and Architecture group, focused on enhancing Operations technology and reducing process friction, errors, and manual effort. **Key Responsibilities:** - Contribute to both engineering and research efforts - Take a product-focused approach to build robust, scalable, and user-friendly solutions - Work in a fast-paced environment to tackle cutting-edge problems through continuous testing and learning - Engage in...

Role Overview: At Capgemini Invent, you will work as an inventive transformation consultant, blending strategic, creative, and scientific capabilities to deliver cutting-edge solutions to clients. Your role will involve working in an IC role or leading and mentoring a team of developers in adherence to best practices in BI development and data visualization. You will collaborate with stakeholders to define business requirements, design impactful dashboards using Power BI, and automate data extraction and transformation using Python. Additionally, you will oversee ETL processes, integrate data from various sources into Power BI, enhance reports with Python scripts, and ensure strong data gove...

Role Responsibilities: Lead full-cycle AI/ML projects aligned to business goals Guide the team in model development and implementation using advanced frameworks Drive research in Generative AI and LLMs (e.g., GPT, BERT) Collaborate across functions to identify AI-driven growth opportunities Key Deliverables: Successful delivery of high-impact AI projects AI roadmap and strategic planning documentation Mentorship and upskilling of ML team Quality-assured, production-ready ML models using cloud MLOps tools