19 Gpt Models Jobs

As a Senior Gen AI Engineer, your role involves collecting and preparing data for training and evaluating multimodal foundation models. This includes cleaning and processing text data or creating synthetic data. You will be developing and optimizing large-scale language models such as GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders). Tasks will also include working on language modeling, text generation, understanding, and contextual comprehension. It is essential to regularly review and fine-tune Large Language models to ensure maximum accuracy and relevance for custom datasets. Additionally, you will be responsible for building and deploying AI applications on cloud platforms such as Azure, GCP, or AWS. Integration of AI models with the company's data to enhance and augment existing applications is also part of your responsibilities. Key Responsibilities: - Handle data preprocessing, augmentation, and generation of synthetic data. - Design and develop backend services using Python to support OpenAI-powered solutions (or any other LLM solution). - Develop and maintain AI pipelines. - Work with custom datasets, utilizing techniques like chunking and embeddings, to train and fine-tune models. - Integrate Azure cognitive services (or equivalent platform services) to extend functionality and improve AI solutions. - Collaborate with cross-functional teams to ensure smooth deployment and integration of AI solutions. - Ensure the robustness, efficiency, and scalability of AI systems. - Stay updated with the latest advancements in AI and machine learning technologies. Qualifications Required: - Strong foundation in machine learning, deep learning, and computer science. - Expertise in generative AI models and techniques (e.g., GANs, VAEs, Transformers). - Experience with natural language processing (NLP) and computer vision is a plus. - Ability to work independently and as part of a team. - Knowledge of advanced programming like Python, and especially AI-centric libraries like TensorFlow, PyTorch, and Keras. This includes the ability to implement and manipulate complex algorithms fundamental to developing generative AI models. - Knowledge of Natural language processing (NLP) for text generation projects like text parsing, sentiment analysis, and the use of transformers like GPT (generative pre-trained transformer) models. - Experience in Data management, including data pre-processing, augmentation, and generation of synthetic data. This involves cleaning, labeling, and augmenting data to train and improve AI models. - Experience in developing and deploying AI models in production environments. - Knowledge of cloud services (AWS, Azure, GCP) and understanding of containerization technologies like Docker and orchestration tools like Kubernetes for deploying, managing, and scaling AI solutions. - Should be able to bring new ideas and innovative solutions to clients.,

As the AVP, Campaign Operations at Synchrony Financial, you will be an integral part of the Growth Marketing team, spearheading the transformation of campaign operations to deliver highly personalized, data-driven consumer journeys. By harnessing advanced automation and cutting-edge Gen/Agentic AI technologies, you will drive the optimization of campaign execution, enhance decision-making processes, and instill a consumer-centric approach across marketing operations. Your role as a transformational leader will involve collaborating across functions to maximize ROI, foster innovation, and fortify Synchrony's competitive standing in the market. Your key responsibilities will include analyzing current campaign workflows to identify opportunities for AI-driven automation and transformation, ensuring robust and compliant processes before implementation, and leading the design and implementation of digitally enabled consumer-first campaigns powered by generative and agentic AI. You will develop scalable frameworks incorporating AI for targeted segmentation and journey orchestration, guide the team in exploring emerging AI tools, and promote the adoption of modern AI techniques and agile marketing practices to drive continuous transformation in campaign operations. Additionally, you will engage with stakeholders to evaluate AI opportunities, advocate for alignment with ethical and governance frameworks, and mentor the team on AI capabilities and consumer journey design. To excel in this role, you should possess a Bachelor's Degree with 4+ years of IT experience or a minimum of 6+ years of Marketing experience in the financial domain. You should have a solid background in digital marketing and campaign operations, preferably within financial services, and familiarity with AI tools and platforms like Microsoft Bot Framework or Rasa. Proficiency in AI and automation tools, as well as knowledge of ML lifecycle concepts and data analytics tools, will be essential. Desired skills include hands-on experience with marketing automation platforms, knowledge of Customer Data Platforms, and a track record of driving change within complex marketing ecosystems. If you meet the eligibility criteria and are excited about driving innovation in campaign operations while ensuring a consumer-first approach, we invite you to apply for this role. Please note that this position requires working from 2 PM to 11 PM IST. For internal applicants, it is important to understand the mandatory skills required for the role, inform your manager and HRM before applying, update your professional profile, and adhere to internal guidelines regarding eligibility and application process.,

Marriott Tech Accelerator is a division of Marriott International, a renowned global leader in the hospitality industry. Marriott International, Inc. is a prominent American multinational corporation with a diverse portfolio of lodging brands, encompassing hotels and residential properties worldwide. With a presence in over 141 countries and territories, Marriott International boasts more than 30 well-established brands and nearly 8,900 properties. As a Senior Manager, Security Architecture at Marriott, you will play a pivotal role in overseeing Security Data Lakes (SDL) environments and AI/ML Security Technologies. Your primary responsibility will involve spearheading the development and management of a comprehensive SDL strategy to bolster Marriott's cybersecurity capabilities and ensure compliance with regulatory mandates. The ideal candidate for this role should possess a fervor for data, business intelligence (BI), SDL, AI/ML, and emerging technologies, coupled with a visionary outlook towards crafting next-generation capabilities and a tenacious drive for achieving success. In this capacity, you will serve as a subject matter expert and lead architect for data lakes within the Data Platform team, with a special focus on the SDL domain. Your duties will encompass conducting research, analysis, design, and development across a broad spectrum of cutting-edge data capabilities and products. Specifically, you will be tasked with establishing technical standards, designing the semantic data modeling layer, and defining metrics within the SDL domain. Furthermore, you will be instrumental in setting data modeling standards to ensure uniform and efficient data models across all data products. Taking ownership of technical aspects and support for Service Provider deliverables, you will guide their technical personnel to ensure the delivery of high-quality outputs adhering to our technical standards and best practices, while also ensuring scalability. Additionally, you will explore emerging technologies that promise future capabilities and seek solutions for intricate technical challenges, making informed decisions on complex, non-routine requests to aid analytics-driven decision-making by Marriott's business units. The role demands 8-10 years of progressive architecture and engineering experience across various domains like Security SDL, Machine Learning, AI, SIEM Technologies, and familiarity with security tools such as Splunk, Cribl, and AWS. You should exhibit a strong aptitude for conducting Proof of Concepts (POCs) and delivering demos to leadership, possess exceptional communication skills, and demonstrate the ability to plan resource requirements based on high-level specifications. Experience in data management, data analytics, data science in a regulated global enterprise setting, as well as information protection and security, are crucial aspects for this role. Moreover, candidates should have a track record of 2+ years in direct management or team leadership roles within technical teams, coupled with 3+ years of experience involving responsibilities related to data pipeline management, security architecture, cybersecurity incident response, compliance, or investigative processes. Additional qualifications such as AWS Solutions Architect or Developer certification, proficiency in agile methodologies, familiarity with security standards and regulatory requirements related to AI and data protection, and knowledge of AI/ML frameworks and platforms are highly desirable. Education-wise, a Bachelor's degree in computer/data sciences, information management, or a related technology or security field, or equivalent experience/certification, is required for this position. The work location for this role is Hyderabad, India, with a hybrid work mode in place.,

As an Artificial Intelligence Developer/AI Developer at APPWRK IT Solutions Pvt. Ltd., you will be part of a team dedicated to delivering high-quality solutions tailored to our clients" needs. Located in Mohali, our company has a strong global presence and is well-known for collaborating with Fortune 500 clients like Unilever. You will play a key role in developing, training, validating, and deploying AI/ML models for real-world use cases. Collaborating with cross-functional teams, you will define and implement end-to-end AI systems. Additionally, you will design and maintain scalable APIs and microservices, as well as build user-friendly front-end interfaces to support AI-powered applications. It is essential to write clean, maintainable, and testable code for both client-side and server-side components. As part of your responsibilities, you will implement MLOps practices, conduct performance tuning, A/B testing, and continuously evaluate models for improvement. Staying updated with the latest technologies and best practices in AI and software engineering is crucial for this role. The ideal candidate should possess a Bachelor's/Master's degree in Computer Science, Artificial Intelligence, or related fields, with at least 1-5 years of experience in AI/ML development using Python, TensorFlow, PyTorch, or similar technologies. Strong understanding of data structures, algorithms, machine learning concepts, and model evaluation is required. Proficiency in backend frameworks like Django, Flask, or FastAPI, along with solid front-end development skills using React, Angular, or Vue.js is preferred. Experience with RESTful APIs, GraphQL, containerization (Docker/Kubernetes), cloud platforms (AWS, GCP, Azure), databases (SQL and NoSQL), and version control (Git) is necessary. Knowledge of AI deployment pipelines, model serving, and monitoring tools is also essential. Preferred skills include experience with LLMs, knowledge of data annotation tools, NLP, Computer Vision, exposure to CI/CD pipelines, MLOps tools, and contributions to open-source projects or AI hackathons. Soft skills such as problem-solving, analytical abilities, communication, collaboration, and the ability to deliver in a fast-paced environment are highly valued. If you are a motivated developer with a passion for AI and looking for a rewarding opportunity, apply now to join our growing team at APPWRK IT Solutions Pvt. Ltd. This is a full-time position with benefits including health insurance and provident fund. The work schedule is day shift, Monday to Friday, and the job requires in-person work in Mohali, Punjab. Application Question: How many years of work experience do you have in AI/ML Development ,

Accel Portfolio company Position: Senior AI Engineer Location: Bangalore (Preferred) Or Remote Role Overview: We&aposre looking for an exceptional AI/ML Technical Lead to spearhead the development of our advanced AI shopping assistant. You&aposll be responsible for building and scaling our AI capabilities while working directly with the founding team. Key Responsibilities: Architect and develop our core AI shopping assistant Lead the implementation of natural language processing for shopping interactions Design and implement recommendation systems for products and deals Develop AI models for price optimization and reward maximization Work with Data providers and embed data to RAG vector stores Requirements: 5 - 10 years of experience Strong expertise in NLP, recommendation systems, and ML deployment Experience with large language models (LLMs) and conversational AI Experience in building RAG systems Strong programming skills in Python and modern AI frameworks Experience with cloud infrastructure (AWS/GCP) and MLOps Technical Skills: Deep Learning: PyTorch/TensorFlow NLP: Transformers, LLMs, BERT/GPT models MLOps: Model deployment, monitoring, and scaling Cloud: AWS/GCP AI services Version Control: Git Show more Show less

As a Senior Gen AI Engineer based in Coimbatore, your primary responsibility will be to collect and prepare data for training and evaluating multimodal foundation models. This will involve tasks such as cleaning and processing text data or creating synthetic data. Additionally, you will be tasked with developing and optimizing large-scale language models like GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders). Your role will also require you to work on language modeling, text generation, understanding, and contextual comprehension. Regularly reviewing and fine-tuning Large Language models to ensure maximum accuracy and relevance for custom datasets will be essential. Furthermore, you will be responsible for building and deploying AI applications on cloud platforms such as Azure, GCP, or AWS and integrating AI models with the company's data to enhance existing applications. In this position, you will handle data preprocessing, augmentation, and the generation of synthetic data. Designing and developing backend services using Python or .NET to support OpenAI-powered solutions will also be part of your responsibilities. You will need to develop and maintain AI pipelines, work with custom datasets, and integrate Azure cognitive services to extend functionality and improve AI solutions. Collaborating with cross-functional teams to ensure smooth deployment and integration of AI solutions will be crucial. Your role will also involve ensuring the robustness, efficiency, and scalability of AI systems. Staying updated with the latest advancements in AI and machine learning technologies is essential to excel in this position. To succeed as a Senior Gen AI Engineer, you should have a strong foundation in machine learning, deep learning, and computer science. Expertise in generative AI models and techniques such as GANs, VAEs, and Transformers is required. Experience with natural language processing (NLP) and computer vision is considered a plus. The ability to work independently and as part of a team is crucial. You should also possess knowledge of advanced programming languages like Python and AI-centric libraries such as TensorFlow, PyTorch, and Keras. Understanding natural language processing (NLP) for text generation projects and experience in data management, including data pre-processing, augmentation, and generation of synthetic data, are necessary. Experience in developing and deploying AI models in production environments and knowledge of cloud services (AWS, Azure, GCP) are essential. An understanding of containerization technologies like Docker and orchestration tools like Kubernetes is beneficial for deploying, managing, and scaling AI solutions. In this role, your innovative thinking and ability to bring new ideas and solutions to our clients will be highly valued.,

Job Summary In Eaton, making our work exciting, engaging, meaningful; ensuring safety, health, wellness; and being a model of inclusion & diversity are already embedded in who we are - its in our values, part of our vision, and our clearly defined aspirational goals. This exciting role is part of our IT team in a large multi-national company. This role demands a candidate with experience in AI application development, including front-end and back-end components, user interfaces, and system integrations using .Net, JavaScript, Angular or React, SQL, and APIs. The candidate should be proficient in deploying AI models using Azure, Kubernetes, and GitHub, and have a deep understanding of Azure AI services, NLP, computer vision, and GPT models.The role requires strong analytical skills, the ability to translate business requirements into AI solutions, and excellent communication skills to explain complex AI concepts to non-technical stakeholders. Collaboration with business leaders and architects is also essential. Must have proven experience in building front-end and back-end components for AI applications, building/consuming APIs ,building customer centric user interfaces and designing integrations with other systems using .Net, JavaScript, Angular or React, SQL Must have proven experience in solution deployment by packaging trained AI models as services using Azure deployment services, Kubernetes, and GitHub for version control. Should have in depth understanding of Azure AI services such as Azure Machine Learning and Cognitive Services along with other AI technologies , natural language processing (NLP), computer vision and GPT models Should have strong expertise in articulating and documenting solution architecture for AI projects by collaborating with solution architect and enterprise architects. Must have abilities to collaborate with business leaders to understand their pain points and identify key areas where AI solutions can drive significant business benefit. Must have strong analytical and problem-solving skills, with the ability to translate business requirements into effective AI solutions. Must have excellent communication skills, with the ability to convey complex AI technical concepts to non-technical stakeholders. Job Responsibilities investigate and fix bugs; create automated test scripts. Maintain, operate, and monitor solutions Lead the development of prototype designs for a product using a wide range of techniques Demonstrate and document solutions by using flowcharts, diagrams, code comments, code snippets, and performance instruments. Guide others on the team in documenting their code. Recommend software tools to management and architecture teams Implement and maintain the infrastructure needed for end-to-end machine learning workflows including data collection, model training, and deployment in production environments. Manage the lifecycle of large language models including training, evaluation, deployment, and monitoring of these models. Evaluate the performance of various machine learning models using appropriate metrics and statistical tests. Make recommendations on which models to use based on their performance. Fine-tune and enhance existing Retrieval Augmented Generation (RAG) and LLM models to improve their performance and adaptability. Design and optimize prompts to effectively guide the behavior of language models. Understand and manage the flow of prompts in a conversation or task. Provide guidelines and strategies for improving the accuracy of machine learning models. Advise on how to optimize token usage to save costs and improve performance including strategies for efficient data preprocessing, model architecture design, and deployment. Leverage Azure AI technologies for developing, deploying, and managing AI solutions with Azure Machine Learning and Cognitive Services Qualifications Bachelors in engineering/ B.E/B. Tech and/or required equivalent MCA. Overall 12+ years experience with proven track record of 5+ years in Solutioning and deploying end to end AI Skills Net, JavaScript, Angular or React, SQL Server, Azure deployment services, Kubernetes, GitHub , Azure Cognitive Services , GPT models, added advantage with GitHub Copilot Show more Show less

Were Hiring: Generative AI Instructor We are looking for a Generative AI Course Instructor to teach students the latest skills in Python, Machine Learning, and Generative AI. What youll do: Teach Python, Machine Learning, and Generative AI concepts. Conduct coding sessions, projects, and assessments. Guide students in using tools like LangChain, HuggingFace, Streamlit, and GPT models . Support and mentor students in applying concepts to real-world problems. What we need: Strong knowledge of Python (Pandas, Matplotlib, Seaborn) and data structures. Understanding of ML basics (Neural Networks, CNNs, Gradient Descent). Familiarity with Generative AI concepts (GANs, Prompt Engineering, Text/Image/Audio generation). Good communication and teaching skills. Qualification: Bachelors/Masters in CS, Data Science, or related fields . Prior teaching or training experience is preferred. ???? If youre passionate about teaching and want to shape the future of AI, wed love to connect with you! Show more Show less

Build Gen AI applications using LLMs (OpenAI, LLaMA,Falcon) Develop (RAG) pipelines with vector databases such as ChromaDB, Pinecone, LanceDB. Implement & optimize prompt engineering, embeddings, & semantic search Fine-tune and adapt pre-trained LLMs Required Candidate profile Strong programming skills in Python LangChain, Transformers (Hugging Face, BERT, GPT models) Vector databases (Chroma, Pinecone, LanceDB, Weaviate, FAISS) Deep Learning, Neural Networks, NLP technique

As a Copilot Architect at Sonata Software, you will be responsible for leveraging your 10+ years of experience to design and implement resilient software systems using your expertise in Gen AI Applications and cloud platforms like Azure, AWS, and Google. Your role will involve utilizing your strong understanding of design patterns, SOLID principles, and hands-on experience with tools such as Lucid, Visio, and DrawIO. Your excellent communication skills will be key in engaging with internal and external stakeholders to design scalable solutions that meet the needs of clients in industries such as Telecom, Media, Technology, Retail & CPG, Manufacturing, BFSI, and HLS. Your proficiency in Python programming and libraries, along with experience working with Azure AI services like Azure OpenAI and Cognitive Services, will enable you to fine-tune pre-trained models and integrate AI solutions into real-world applications. In this role, you will provide thought-leadership in identifying and implementing Gen AI use cases, guiding Tech Leads and junior developers in the team, and collaborating with developers to implement these use cases effectively. Preference will be given to candidates located in Bengaluru who can work from the office regularly. If you are passionate about modernization engineering and have a track record of success in designing and deploying Gen AI applications, then this position at Sonata Software is the perfect opportunity for you to showcase your skills and contribute to the growth of our clients through innovative solutions. For more information about Sonata Software, please visit www.sonata-software.com.,

Please note: This is an on site position in Kharadi, Pune. Timings : 6 PM - 3 AM Remote/Hybrid options are not available Please expect a 6-6-6 culture (12 hours a day, 6 days a week). We are a fast-growing AI startup in Silicon Valley. Our culture is similar to San Fran tech culture work hard, fast growth. 12 hour days, 6 days a week is very common. So if you can&apost do this then please don&apost apply. About Jeeva.AI Jeeva AI is a superhuman Agentic AI that takes the grunt work out of sales, autonomously discovering and enriching high intent leads, crafting hyper personalized outreach, managing smart follow-ups, and handling objections so your reps focus on what they do best: closing deals. Trusted by 500+ B2B companies to generate over $50 M in pipeline, Jeeva delivers a consistent 24/7 revenue engine and gives you 50 qualified prospects free during your demo. As a dynamic startup we are backed by Alt Capital (founded by Jack Altman & Sam Altman), Marc Benioff (CEO Salesforce), Gokul (Board Coinbase), Bonfire (investors in ChowNow), Techstars (investors in Uber), Sapphire (investors in LinkedIn), Microsoft with $4.5M ARR in just 9 months after launch, were not just growing - were thriving and making a significant impact in the world of artificial intelligence. Job Description: 3+ years of solid experience as a Software Development Engineer with a strong background in React.JS Develop and maintain modern, responsive web applications using React.js and related technologies. Build reusable components and front-end libraries for future use. Translate UI/UX designs and wireframes into high-quality code. Optimize components for maximum performance across a wide range of web-capable devices and browsers. Integrate front-end logic with APIs and backend systems. Participate in code reviews and ensure adherence to best Stay updated on the latest front-end trends, tools, and best practices. Competent in applying AI technologies, particularly in using GPT models for natural language processing, automation and creating intelligent systems. You&aposve built and shipped products that users love and have seen the impact of your work at scale. You take pride in owning projects from start to finish and are comfortable wearing multiple hats to get the job done. You stay ahead of the curve, eager to explore and implement the latest technologies, particularly in AI. You thrive in a team environment and can work effectively with both technical and non-technical stakeholder. You have a hunger for success and are eager to contribute to a fast-growing company with big goals. Show more Show less

As the AI Automation Team Manager Intern at EX Venture Academy based in Bali, Indonesia, you will have the exciting opportunity to lead a team of interns and specialists in managing AI-driven automation tasks across various industries. Your role will involve overseeing daily operations, ensuring task execution, and maintaining high-performance standards. Effective communication and leadership skills are essential as you coordinate workflows, utilize tools like Zapier and Python automation, and troubleshoot technical issues to deliver quality results. Your responsibilities will include assigning, monitoring, and reviewing team deliverables, coordinating workflows using automation tools, providing quality assurance, and reporting performance metrics to senior leadership. A successful candidate will have prior experience in team management, a strong background in AI tools and technologies, and familiarity with various automation tools and platforms. Your structured and detail-oriented approach, along with excellent planning and organizational skills, will be crucial in this role. This unpaid internship offers housing in Bali, visa coverage after two months, exposure to cutting-edge automation practices, and mentorship from senior advisors. Full-time placement potential exists based on performance and organizational requirements. If you are a proactive, results-oriented communicator with a passion for AI and automation, we encourage you to apply by submitting your CV and a brief statement outlining your relevant experience and motivation. For more information about EX Venture Academy and the internship program, visit our website at www.exventure.co or check out the Bali Internship Details at www.baliinternship.com. Stay connected with us on Instagram (@exventureacademy) and TikTok (@exventureacademy1) for updates and insights. Applications will be reviewed continuously, so early submissions are recommended.,

As a Sr. Software Engineer specializing in AI, you will be a crucial part of Occams Advisory's AI Initiative. Your primary responsibility will be to lead the development of AI-driven solutions, generative AI, and AI business applications that have a significant impact on various domains. If you are passionate about AI, LLMs, and APIs, and are well-versed in tokens, embeddings, and temperature settings, this role is tailor-made for you. Your expertise will be instrumental in steering the end-to-end execution of AI models, starting from conceptualization and training to optimization and deployment. The role necessitates a profound understanding of AI evolution, particularly in the realms of LLMs, AI Business applications, and generative models, ensuring that the AI solutions are not only innovative but also scalable and effective. You will play a pivotal role in developing LLM-Powered Business Solutions by creating robust applications leveraging frameworks like OpenAI and Langchain. Your proficiency in implementing Retrieval-Augmented Generation (RAG) Pipelines, advanced prompt engineering, and API and Microservices Development will be critical in enhancing user interactions and integrating AI functionalities seamlessly. Collaborating with cross-functional teams and ensuring performance optimization and quality assurance will also be part of your responsibilities. To excel in this role, you should hold a Bachelor's or Master's degree in computer science, Data Science, Engineering, or a related field, with at least 2 years of experience in integrating OpenAI, Gemini, Lambda, Llama, Langchain into business scenarios. Proficiency in node.js, AI frameworks like TensorFlow and PyTorch, as well as expertise in LLMs, transformers, embeddings, and generative AI are essential. Additionally, experience in AI model optimization, API development, cloud platforms (OpenAI, AWS, Azure, Google Cloud), and handling large datasets for AI training is required. Occams Advisory offers a comprehensive benefits package that includes health insurance for you and your dependents, provident fund, a fixed CTC budget for learning opportunities, a market-leading leave policy, paid holidays, employee recognition & rewards, and a culture that values meritocracy. If you are a proactive, analytical, and detail-oriented professional who thrives on challenges and is eager to contribute to a culture of excellence and impact, we encourage you to apply for this exciting opportunity as a Sr. Software Engineer (AI) with Occams Advisory.,

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.