8 Genai Models Jobs

The Data Science & Analysis team in India is looking for a skilled professional to join our dynamic team. As a member of our team, you will be responsible for designing, training, and fine-tuning advanced foundational models such as text, audio, and vision using healthcare and other relevant datasets. Your focus will be on accuracy and context relevance to ensure the efficiency of our solutions. Collaboration with cross-functional teams including Business, engineering, and IT is key in seamlessly integrating AI/ML technologies into our solution offerings. You will also play a crucial role in deploying, monitoring, and managing AI models in a production environment, ensuring high availability, scalability, and performance. Staying updated with the latest advancements in AI/ML and industry trends is essential to drive innovation within the team. Adherence to industry standards and regulatory requirements, such as HIPAA, is paramount in developing AI solutions. You will be responsible for developing and maintaining comprehensive documentation for AI models, providing technical guidance and mentorship to junior AI engineers, and collaborating with stakeholders to understand and translate business needs into technical requirements. To be successful in this role, you should hold a Bachelors or Masters degree in computer science, Artificial Intelligence, Machine Learning, or a related field. With a minimum of 10 years of industry experience, including at least 5 years of hands-on experience in AI/ML, you should have a strong proficiency in Python and familiarity with popular AI/ML frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers. Experience in deploying and managing AI models in production environments, expertise in serving and inference frameworks, and practical experience in Voice AI applications are desirable skills. Additionally, familiarity with healthcare data standards, regulatory compliance, cloud computing platforms, and containerization technologies will be beneficial in this role. If you have experience with federated learning, privacy-preserving AI techniques, synthetic data generation for healthcare model training, and knowledge of healthcare, it would be considered a plus. Your ability to evaluate and select GenAI models based on performance, cost, and compliance factors will be highly valued. Guidehouse offers a comprehensive total rewards package including competitive compensation and flexible benefits. We are an Equal Opportunity Employer and encourage individuals with diverse backgrounds to apply. If you require accommodation during the application process, please contact Guidehouse Recruiting for assistance. Join us at Guidehouse and be a part of a team that values innovation, collaboration, and diversity in a supportive workplace environment.,

Job Title: Conversational AI Engineer (Dialogflow CX | GenAI) Experience : 4 to 9 Years Employment Type: Full-Time (Permanent/Contract) Work Mode: Remote About the Role We are seeking a Conversational AI Engineer with hands-on experience in building intelligent, user-centric virtual agents using Dialogflow CX and Generative AI tools . This is a high impact role suited for individuals passionate about enhancing digital user interactions through cutting-edge AI-driven conversations. Key Responsibilities : Lead discovery workshops to gather business requirements, use cases, and virtual agent success criteria Build intelligent, engaging, and efficient virtual agents/chatbots using Dialogflow CX Implement advanced NLU/NLP logic (intents, entities, fallback handlers, data stores, etc.) Present chatbot prototypes and working agents to clients for review and QA feedback Integrate Playbooks, APIs, and backend systems to enable end-to-end conversational flows Collaborate with product managers, UX designers, and developers to iterate on agent behavior Create wireframes, mockups, and conversation flows using industry best practices Ensure usability, accessibility, and scalability of virtual agent experiences Monitor performance metrics and support continuous improvement initiatives Must- Have Skills & Experience 3+ years of experience in Conversational AI development Strong hands-on experience with Dialogflow CX (including agents , flows , and generators ) Experience working with Playbooks and GenAI models (e.g., OpenAI/Gemini integrations ) Solid grasp of NLU/NLP fundamentals: intents, utterances, entities, context handling Programming proficiency in Python or Java for data/API integration Experience in deploying and supporting virtual agents for real-world use cases (internal or external) Familiarity with analytical tools such as Looker , Power BI , or Tableau Ability to present technical solutions to clients and resolve QA/feedback-related issues Nice-to-Have Experience with Generative AI fallback handling Knowledge of API gateway integrations and backend orchestration Understanding of conversational UX design principles Exposure to other chatbot platforms (e.g., Rasa, Lex, Microsoft Bot Framework) What Were Looking For Someone who loves creative problem-solving with AI Highly collaborative and confident in client-facing roles Detail-oriented, with a strong passion for conversational UX Self-starter with the ability to own end-to-end conversational workflows Apply Now If You Have Experience With: Dialogflow CX (Flows, Intents, Entities) Generative AI (OpenAI, Gemini, etc.) Conversational Design + API Integration Python/Java-based automation Delivering real-time virtual agent solutions How to Apply: Send Your CV to: careers@stamenssoftware.com

Mandatory Skill sets - Python, OpenAI, Vector dbs, GenAI models, Agentic AI Good to have skills - Azure Cognitive Services(Vision, Speech and language search, AI Search), Development experience in Azure, RAG development, Retrieval Solutions on Structured data, Azure Container Apps and functions, Azure Data lake, Azure Blob storage, Azure Cosmos DB , Azure SQL DB, Azure data factory, Azure Data bricks, Azure Web Apps, semantic kernel, Power BI, SharePoint, Data ingestion pipeline, APIs, React, Devops, Agile framework, LLM, SLM, Other Models, fine tuning

As a Machine Learning Engineer, your primary responsibility will be to design and implement end-to-end ML pipelines using GCP services and ETL tools. You will be deploying and maintaining predictive ML models through containerization (Docker) and orchestration (Kubernetes). It is essential for you to implement MLOps practices including CI/CD pipelines using Git. Additionally, you will create and maintain technical architecture diagrams for GCP service implementations and develop frontend applications that integrate with ML and AI backend services. Your expertise will be crucial in optimizing big data processing workflows and improving ML model performance. To excel in this role, you must possess a strong background in Machine Learning and Deep Learning concepts. Extensive experience with GCP services, particularly AI/ML offerings, is a must. Proficiency in MLOps practices and tools is highly desirable. Hands-on experience with Docker, Kubernetes, and Git is required for this position. Your familiarity with frontend development and API integration will be beneficial. Knowledge of big data processing and analytics is essential. Furthermore, your ability to create clear technical documentation and architecture diagrams will be a significant asset to the team. Preferred qualifications for this role include Google Cloud certifications, experience with AI and GenAI models and applications, background in full-stack development, understanding of microservices architecture, experience with data pipeline optimization, as well as knowledge of Python, HTML, and Javascript. Join our team and contribute to cutting-edge projects that leverage machine learning technologies in a cloud-based environment.,

As a Dot Net Full Stack Developer- Gen AI at our technology services client, you will be part of a dynamic team on a contract basis with a strong potential for conversion to full-time employment. Your primary location options include Bangalore, Noida, or Pune, and the ideal candidate will be able to start within an immediate to 15-day notice period. Your role will involve working with Microservice and Event-Driven architectures, utilizing skills in C#, .NET 7.0+/CORE, SQL/No SQL, Web API, and various GenAI models from OpenAI. While not mandatory, experience in Python, Django, Flask, React, and AngularJS would be beneficial. To excel in this position, you should hold a Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Your responsibilities will include developing web applications, customer-facing integrations, and Cloud Native development using Azure. A minimum of 3 years of experience with various GenAI models is required, along with knowledge of Agentic AI/Frameworks and Azure services such as Azure Data Factory, Logic Apps, and functions. Your tasks will encompass technical design, development, and support of web applications and API frameworks, integrating with different systems, AI models, and orchestration layers. Proficiency in ORM Tools, Azure Stack, CI/CD, container deployments, and Git code repository is essential. Hands-on experience in C# .NET Core, CosmosDB, Web Application Development, Web APIs, and knowledge of REST APIs and data structures are crucial. Additionally, you should possess good debugging and analytical skills, familiarity with design patterns, code reviews, caching strategies, and the ability to analyze client requirements and propose solutions. Strong communication skills are necessary for effectively conveying information to peers, leadership, and customers via email, phone, or in-person interactions. If you meet these requirements and are interested in this opportunity, please share your updated resume with us at sathwik@s3staff.com. We look forward to potentially welcoming you to our team.,

As a Machine Learning Engineer, you will be responsible for designing and implementing end-to-end ML pipelines using GCP services and ETL tools. Your role will involve deploying and maintaining predictive ML models through containerization (Docker) and orchestration (Kubernetes). It is essential to implement MLOps practices, including CI/CD pipelines using Git, to ensure seamless operations. Additionally, creating and maintaining technical architecture diagrams for GCP service implementations will be part of your routine tasks. Your expertise in Machine Learning and Deep Learning concepts will be crucial for this role. Extensive experience with GCP services, particularly AI/ML offerings, is required to excel in this position. Proficiency in MLOps practices and tools is essential, along with hands-on experience in Docker, Kubernetes, and Git. Furthermore, experience in frontend development and API integration will be beneficial for developing frontend applications that integrate with ML and AI backend services. In this role, you will also be responsible for optimizing big data processing workflows and ML model performance. Knowledge of big data processing and analytics is expected, along with the ability to create clear technical documentation and architecture diagrams to ensure effective communication within the team. Preferred qualifications for this position include Google Cloud certifications, experience with AI and GenAI models and applications, and a background in full-stack development. An understanding of microservices architecture, experience with data pipeline optimization, and proficiency in Python, HTML, and JavaScript will further strengthen your candidacy for this role.,

About Team Myntra Data Science team delivers a large number of data science solutions for the company which are deployed at various customer touch points every quarter. The models create significant revenue and customer experience impact. The models involve real-time, near-real-time and offline solutions with varying latency requirements. The models are built using massive datasets. You will have the opportunity to be part of a rapidly growing organization and gain exposure to all the parts of a comprehensive ecommerce platform. You ll also get to learn the intricacies of building models that serve millions of requests per second at sub second latency. The team takes pride in deploying solutions that not only leverage state of the art machine learning models like graph neural networks, diffusion models, transformers, representation learning, optimization methods and bayesian modeling but also contribute to research literature with multiple peer-reviewed research papers. Roles and Responsibilities Design, develop and deploy machine learning models,algorithms and systems to solve complex business problems for Myntra Recsys, Search, Vision, SCM, Pricing, Forecasting, Trend and Virality prediction, Gen AI and other areas Theoretical understanding and practise of machine learning and expertise in one or more of the topics, such as, NLP, Computer Vision, recommender systems and Optimisation. Implement robust and reliable software solutions for model deployment. Support the team in maintaining machine learning pipelines, contributing to tasks like data cleaning, feature extraction and basic model training. Participate in monitoring the performance of machine learning models, gaining experience in using statistical methods for evaluation. Working with the Data Platforms teams for understanding and collecting the data. Conduct performance testing, troubleshooting and tuning as required. Stay current with the latest research and technology and communicate your knowledge throughout the enterprise. Qualifications & Experience Master s/PhD in Computer Science, Mathematics, Statistics/related fields or 1+ years of relevant industry experience with a Bachelor s degree. Proficiency in Python or one other high-level programming language. Theoretical understanding of statistical models such as regression, clustering and ML algorithms such as decision trees, neural networks, etc. Strong written and verbal communication skills Intellectual curiosity and enthusiastic about continuous learning Experience developing machine learning models in Python, or equivalent programming language. Basic familiarity with machine learning frameworks like TensorFlow, PyTorch, or scikit-learn. Introductory understanding of statistics as it applies to machine learning. Ability to manage and prioritize your workload and support his/her manager. Experience with SQL and/or NoSQL databases. If you are an exceptional candidate, write in. We are happy to hire you even if you don't have the certified qualifications. Nice to Have: Publications or presentations in recognized Machine Learning and Data Science journals/conferences. Experience with ML orchestration tools (Airflow, Kubeflow or MLFlow) Exposure to GenAI models.

Project Role: AI / ML Engineer Project Role Description: Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Summary: As an AI/ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, and GenAI models. Your role involves creating cloud or on-prem application pipelines with production-ready quality, incorporating deep learning, neural networks, chatbots, and image processing. Location: Pan India