6 Gpt Models Jobs

As a Software Engineer specializing in AI/ML/LLM/Data Science at Entra Solutions, a FinTech company within the mortgage Industry, you will play a crucial role in designing, developing, and deploying AI-driven solutions using cutting-edge technologies such as Machine Learning, NLP, and Large Language Models (LLMs). Your primary focus will be on building and optimizing retrieval-augmented generation (RAG) systems, LLM fine-tuning, and vector search technologies using Python. You will be responsible for developing scalable AI pipelines that ensure high performance and seamless integration with both cloud and on-premises environments. Additionally, this role will involve implementing MLOps best practices, optimizing AI model performance, and deploying intelligent applications. In this role, you will: - Develop, fine-tune, and deploy AI/ML models and LLM-based applications for real-world use cases. - Build and optimize retrieval-augmented generation (RAG) systems using Vector Databases such as ChromaDB, Pinecone, and FAISS. - Work on LLM fine-tuning, embeddings, and prompt engineering to enhance model performance. - Create end-to-end AI solutions with APIs using frameworks like FastAPI, Flask, or similar technologies. - Establish and maintain scalable data pipelines for training and inferencing AI models. - Deploy and manage models using MLOps best practices on cloud platforms like AWS or Azure. - Optimize AI model performance for low-latency inference and scalability. - Collaborate with cross-functional teams including Product, Engineering, and Data Science to integrate AI capabilities into applications. Qualifications: Must Have: - Proficiency in Python - Strong hands-on experience in AI/ML frameworks such as TensorFlow, PyTorch, Hugging Face, LangChain, and OpenAI APIs. Good to Have: - Experience with LLM fine-tuning, embeddings, and transformers. - Knowledge of NLP, vector search technologies (ChromaDB, Pinecone, FAISS, Milvus). - Experience in building scalable AI models and data pipelines with Spark, Kafka, or Dask. - Familiarity with MLOps tools like Docker, Kubernetes, and CI/CD for AI models. - Hands-on experience in cloud-based AI deployment using platforms like AWS Lambda, SageMaker, GCP Vertex AI, or Azure ML. - Knowledge of prompt engineering, GPT models, or knowledge graphs. What's in it for you - Competitive Salary & Full Benefits Package - PTOs / Medical Insurance - Exposure to cutting-edge AI/LLM projects in an innovative environment - Career Growth Opportunities in AI/ML leadership - Collaborative & AI-driven work culture Entra Solutions is an equal employment opportunity employer, and we welcome applicants from diverse backgrounds. Join us and be a part of our dynamic team driving innovation in the FinTech industry.,

At PwC, our team focused on data and analytics applies data to drive insights and guide strategic business decisions. Utilizing advanced analytics techniques, we assist clients in optimizing operations and achieving their goals. As a member of our data analysis team, you will specialize in leveraging sophisticated analytical methods to extract valuable insights from extensive datasets, enabling data-driven decision-making. Your role will involve utilizing skills in data manipulation, visualization, and statistical modeling to support clients in resolving intricate business challenges. We are seeking a visionary Generative AI Architect at the Manager level to join PwC US - Acceleration Center. In this leadership position, you will be responsible for designing and implementing cutting-edge Generative AI solutions using technologies such as Azure OpenAI Service, GPT models, and multi-agent frameworks. Your role will involve driving innovation through scalable cloud architectures, optimizing AI infrastructure, and leading cross-functional teams in deploying transformative AI solutions. The ideal candidate will possess deep expertise in Generative AI technologies, data engineering, Agentic AI, and cloud platforms like Microsoft Azure, with a strong emphasis on operational excellence and ethical AI practices. Responsibilities: - **Architecture Design:** Design and implement scalable, secure, and high-performance architectures for Generative AI applications. Integrate Generative AI models into existing platforms and lead the development of AI agents capable of orchestrating multi-step tasks. - **Model Development And Deployment:** Fine-tune pre-trained generative models, develop data collection and preparation strategies, and deploy appropriate Generative AI frameworks. - **Innovation And Strategy:** Stay updated on the latest Generative AI advancements, recommend innovative applications, and define and execute AI strategy roadmaps. - **Collaboration And Leadership:** Collaborate with cross-functional teams, mentor team members, and lead a team of data scientists, GenAI engineers, devops, and software developers. - **Performance Optimization:** Monitor and optimize the performance of AI models, agents, and systems to ensure robustness and accuracy, as well as optimize computational costs and infrastructure utilization. - **Ethical And Responsible AI:** Ensure compliance with ethical AI practices, data privacy regulations, and governance frameworks, and implement safeguards against bias and misuse. Requirements: - Bachelors or masters degree in computer science, Data Science, or related field. - 8+ years of relevant technical/technology experience, with expertise in GenAI projects. - Advanced programming skills in Python and fluency in data processing frameworks like Apache Spark. - Experience with GenAI foundational models and open-source models. - Proficiency in system design for Agentic architecture and real-time data processing systems. - Familiarity with cloud computing platforms and containerization technologies. - Strong leadership, problem-solving, and analytical abilities. - Excellent communication and collaboration skills. Nice To Have Skills: - Experience with technologies like Datadog and Splunk. - Familiarity with emerging Model Context Protocols and dynamic tool integration. - Relevant solution architecture certificates and continuous professional development in data engineering and GenAI. Professional And Educational Background: BE / B.Tech / MCA / M.Sc / M.E / M.Tech / MBA/ Any Degree.,

You are looking for a visionary and strategic leader to assume the role of GEN AI Practice Head at our organization. In this position, you will be responsible for driving innovation, leading the development of cutting-edge generative AI solutions, and overseeing the end-to-end delivery of AI projects. Your primary objective will be to build and scale the GenAI practice in alignment with business objectives, expanding market presence, and contributing to organizational growth in AI-driven technologies. Your responsibilities will include formulating and executing the vision, strategy, and roadmap for the GenAI practice while establishing thought leadership through the identification of emerging trends and use cases in Generative AI. Additionally, you will define and standardize GenAI frameworks, methodologies, and best practices for project delivery, and build partnerships with AI technology providers, startups, and academic institutions. As the Gen AI Practice Head, you will lead the design and development of scalable GenAI-based solutions, including NLP models, image/video synthesis, and creative AI applications. Your role will also involve overseeing the selection of tools, platforms, and frameworks such as OpenAI, Hugging Face, and Google Vertex AI to ensure that solutions meet client requirements in scalability, performance, and ethical AI considerations. Furthermore, you will be responsible for building, mentoring, and managing a high-performing team of data scientists, machine learning engineers, and AI consultants. By fostering a culture of innovation, collaboration, and continuous learning within the team, you will drive initiatives to upskill and reskill teams on generative AI technologies and industry best practices. Collaboration with business development teams to identify opportunities, pitch GenAI solutions, and onboard new clients will be a key aspect of your role. You will also ensure the successful delivery of GenAI projects with a focus on quality, timelines, and client satisfaction, acting as a trusted advisor to clients by providing thought leadership on generative AI strategies and solutions. Financial and operational excellence will be crucial, as you will own P&L responsibility for the GenAI practice. Defining and tracking KPIs to measure practice success and client ROI, driving operational efficiencies to optimize costs, delivery timelines, and resource utilization are essential components of this role. To excel in this position, you must have strong expertise in Generative AI, NLP, transformers (e.g., GPT, BERT), and diffusion models. Hands-on experience with AI/ML frameworks and tools like TensorFlow, PyTorch, OpenAI, or Hugging Face is required. A proven track record in designing and deploying large-scale AI/ML solutions, experience across industries, and a solid understanding of cloud platforms (AWS, Azure, Google Cloud) for deploying AI solutions will be beneficial. Exceptional communication, problem-solving, and decision-making skills are essential for success in this role. Key Skills: OpenAI, GPT models, Hugging Face, PyTorch, LangChain, Diffusion Models,

As part of Edelman's commitment to becoming the foremost communications consultancy, there is an essential focus on advancing product development, particularly in technology and services that harness the power of data and AI to revolutionize both Edelman's operations and those of its clients. To realize this vision, Edelman is establishing a pivotal new AI-driven division comprising four key departments, each with distinct roles and responsibilities in the innovation, delivery, and implementation of AI and data solutions within Edelman and the broader communications industry. We are currently seeking a talented and forward-looking AI Technical Solutions Builder to become a part of our team and contribute to shaping the future of AI-driven applications. In this position, you will be responsible for designing and constructing robust, scalable backend systems that incorporate cutting-edge GPT technologies. Your role will involve collaborating with cross-functional teams to translate creative solutions into reality, utilizing modern APIs, AI models, and automation tools to redefine the boundaries of technological capabilities. If you are enthusiastic about backend development and intrigued by the dynamic realm of AI, we invite you to connect with us. **Responsibilities:** - Develop and maintain backend applications utilizing contemporary AI chat and agent completion APIs. - Design and deploy scalable cloud-based architectures that facilitate customized GPT functionalities. - Work closely with internal teams to gather requirements and deliver efficient backend solutions. - Enhance application performance, ensuring reliability and scalability. - Continuously enhance existing applications and introduce new features that align with emerging AI technologies. **Qualifications:** - Fundamental comprehension of GPT models (e.g., ChatGPT, OpenAI API, prompt engineering). - Familiarity with tools like OpenAI's Custom GPTs and Microsoft Copilot. - Substantial experience in backend software development. - Proficiency in programming languages such as Python and JavaScript or no-code/low-code platforms. - Experience with AI models, especially GPT-based APIs, and their integration into applications. - Hands-on familiarity with cloud platforms, particularly AWS and Azure, and the associated deployment tools. - Understanding of database systems and RESTful/API design principles. - Strong problem-solving abilities and keen attention to detail. - Excellent communication skills and the capacity to collaborate effectively within a team environment. - Bonus: Experience with full-stack software development. - Bonus: Familiarity with OpenAI functionalities like GPT Actions, Assistants API, function calling, finetuning, and Copilot integrations across the Microsoft ecosystem. **Why join us ** - Impactful Work: Contribute significantly to transforming the workflows of the premier PR/communications firm globally. - Collaborative Environment: Engage with a diverse and skilled team, fostering innovation across various disciplines. - Professional Growth: Access opportunities for continual learning and advancement in the rapidly evolving field of AI.,

As part of Edelman's ongoing evolution as a top communications consultancy, there is a significant emphasis on product development, particularly in the realm of technology and services that utilize data and AI to revolutionize both Edelman's operations and those of its clients. In order to realize this ambitious vision, Edelman is in the process of establishing a crucial new AI-driven division comprised of four key departments, each tasked with distinct roles and responsibilities related to the creation, delivery, and implementation of AI and data solutions within Edelman and the broader communications industry. We are currently seeking a highly skilled and forward-thinking AI Technical Solutions Builder to become a valuable member of our team, contributing to the shaping of AI-powered applications of the future. In this position, you will be responsible for designing and constructing resilient, scalable backend systems that incorporate cutting-edge GPT technologies. Collaboration with interdisciplinary teams will be essential in translating innovative concepts into reality, utilizing modern APIs, AI models, and automation tools to explore the boundaries of technological possibilities. If you are enthusiastic about backend development and invigorated by the dynamic landscape of AI, we are eager to learn more about you. Responsibilities: - Develop and manage backend applications by utilizing advanced AI chat and agent completion APIs. - Create and deploy scalable cloud-based architectures that facilitate tailored GPT functionalities. - Work closely with internal teams to gather requirements and implement effective backend solutions. - Enhance application performance, ensuring reliability and scalability. - Continuously enhance existing applications and introduce new features that align with the evolving AI landscape. Qualifications: - Fundamental knowledge of GPT models (e.g., ChatGPT, OpenAI API, prompt engineering). - Familiarity with tools such as OpenAI's Custom GPTs and Microsoft Copilot. - Substantial experience in backend software development. - Proficiency in programming languages like Python and JavaScript or familiarity with no-code/low-code platforms. - Experience with AI models, particularly GPT-based APIs, and their integration into applications. - Hands-on experience with cloud platforms, especially AWS and Azure, as well as associated deployment tools. - Understanding of database systems and principles of RESTful/API design. - Strong problem-solving abilities and meticulous attention to detail. - Excellent communication skills and the capacity to collaborate effectively within a team environment. - Bonus: Experience in full-stack software development. - Bonus: Familiarity with OpenAI functionalities such as GPT Actions, Assistants API, function calling, finetuning, and Copilot integrations within the Microsoft ecosystem. Why join us - Impactful Work: Play a pivotal role in reshaping the workflows of the foremost PR/communications firm on a global scale. - Collaborative Environment: Engage with a diverse and talented team, fostering innovation across various domains. - Professional Growth: Access opportunities for continuous learning and advancement within the rapidly evolving realm of AI.,

Role: AIML Engineer Experience: 2 to 8 Yrs Notice period: 0- 10 Days Job Location: Hyderabad and Bangalore. (Hybrid) Job Description: Strong proficiency in Python for AI/ML development. Hands-on experience with OpenAI, GPT models, and LangChain or LlamaIndex. Deep understanding of Retrieval-Augmented Generation (RAG) concepts and implementations. Familiarity with vector databases like FAISS, Pinecone, or Weaviate. Good knowledge of data engineering principles (ETL, data modeling, batch/streaming pipelines). Experience with cloud platforms (Azure, AWS, or GCP) for deploying AI/ML solutions. Proficient in tools like Pandas, NumPy, Scikit-learn, and MLflow. Exposure to LLMOps, model versioning, and monitoring is a plus.