20 Genai Models Jobs

As a Generative AI Architect at NiCE, you will be responsible for providing technical leadership and architectural direction for the development and integration of Generative AI solutions within the organization's product portfolio and platform. Your role will involve collaborating closely with engineering, data science, product, and business stakeholders to ensure effective design, scalability, security, and operationalization of GenAI-powered features and systems. **Key Responsibilities:** - Set the end-to-end technical direction for Generative AI initiatives, including platform, technology stack, tools, and infrastructure. - Architect, design, and oversee the implementation of GenAI models and pipelines for production use cases. - Collaborate with cross-functional teams to define requirements, deliver functional and design specifications, and ensure alignment with business objectives. - Ensure that Generative AI solutions are scalable, secure, reliable, and maintainable, adhering to enterprise standards and best practices. - Lead architectural and design reviews for GenAI features and help establish coding and model development standards. - Evaluate, select, and integrate third-party GenAI platforms, frameworks, APIs, and cloud services as appropriate. - Drive continuous innovation by staying up-to-date with advances in GenAI, ML, and AI infrastructure. - Foster a culture of engineering excellence, mentoring team members on AI/ML, MLOps, and responsible AI practices. - Ensure robust model monitoring, performance evaluation, and feedback loops for deployed GenAI systems. - Collaborate with security and compliance teams to ensure adherence to data governance, privacy, and AI ethics requirements. - Contribute to strategic planning for AI initiatives and the company's long-term technology roadmap. - Mentor teams on the importance of each MCP pillar and drive adoption of best practices throughout the AI development lifecycle. **Qualifications:** - 15+ years of software development or technical leadership experience, with at least 5 years focused on AI/ML solutions and a minimum of 2 years architecting Generative AI systems. - Expertise in designing and deploying production-grade Generative AI solutions, including LLMs, summary generation, prompt engineering, and RAG-based architectures. - Experience with leading AI/ML frameworks and MLOps tools. - Strong understanding of cloud platforms and AI services. - Deep knowledge of machine learning concepts, data engineering, and model operationalization at scale. - Familiarity with responsible AI practices, including data privacy, fairness, explainability, and compliance. - Proficient in programming languages such as Python, Java, or similar; experience with containerization and orchestration. - Experience driving Continuous Integration and Delivery for AI/ML solutions. - Excellent problem-solving, decision-making, and communication skills. - Proven ability to mentor engineers and data scientists, foster teamwork, and drive consensus. - Experience working in Agile development environments. - Strong quality orientation, attention to detail, and ability to translate ideas into robust solutions. - Familiarity with security technologies and best practices for AI-enabled platforms. - Experience with AI/ML testing, monitoring, and continuous model evaluation in production. - Exposure to natural language processing (NLP) and computer vision applications. - Familiarity with MCP framework. - Passion for delivering innovative, high-quality GenAI products and platforms. - Ability to work independently and collaboratively across multi-disciplinary teams. - Demonstrated leadership in adopting new technologies and driving organizational change. - Strong customer orientation and ability to communicate complex technical concepts to non-technical stakeholders. - Commitment to ethical AI and continuous learning. NiCE offers a challenging work environment, competitive compensation, and benefits, and rewarding career opportunities. Join the NiCE team and be part of a fast-growing, highly respected organization where innovation and growth are at the forefront. Enjoy NiCE-FLEX hybrid model, combining office and remote work for maximum flexibility.,

You will be joining a team at PwC that specializes in data and analytics engineering, utilizing advanced technologies and techniques to create strong data solutions for clients. Your role will involve the transformation of raw data into actionable insights, supporting informed decision-making and fostering business growth. In the field of intelligent automation, your focus will be on process mining, designing automation solutions, and implementing process automation, robotic automation, and digital workflow solutions to enhance operational efficiency and cost reduction for clients. With a requirement of at least 8 years of hands-on experience, your responsibilities will include leading and overseeing a team of software engineers working on advanced software solutions for GenAI projects. You will collaborate with senior leadership and cross-functional teams to gather business requirements, identify areas for technological enhancements, and ensure alignment with organizational objectives. Designing event-driven architectures for real-time data processing, utilizing containerization technologies like Kubernetes, managing data lakes effectively, and promoting Python as the primary programming language are key aspects of your role. Moreover, you will facilitate collaboration between software engineers, data scientists, data engineers, and DevOps teams to ensure seamless integration and deployment of GenAI models. Keeping abreast of GenAI technologies, translating complex business needs into technical solutions, documenting software engineering processes, and promoting a culture of excellence will be crucial tasks. Continuous professional development of the team through acquiring new solution architecture certifications and adherence to industry best practices will also be part of your responsibilities. The ideal candidate will possess a degree in BE/B.Tech/MCA/M.Sc/M.E/M.Tech/MBA along with a strong background in software engineering and solution architecture.,

We have an exciting and rewarding opportunity for you to take your Data Scientist career to the next level. As the Data Scientist Lead within our Machine Learning and AI team, you will have the opportunity to develop and productionize high-quality machine learning models, services, and platforms that create significant technological and business impact. You will collaborate with cross-functional teams to identify business requirements and develop data-promoted solutions using GenAI technologies. Your role will involve designing scalable data processing pipelines, building and maintaining data lakes, and implementing data visualization solutions to provide actionable insights. You will also champion a DevOps model to support the maturity of the ML development life cycle. Job Responsibilities: . Develop and productionize high-quality machine learning models, services, and platforms to create significant technological and business impact. . Design and implement scalable and reliable data processing pipelines, performing analysis and deriving insights to optimize business outcomes. . Use LLMs for Generative AI applications, including text generation, classification, and question answering. . Collaborate with cross-functional teams to identify business requirements and develop data-driven solutions using GenAI technologies. . Build and maintain data lakes and data processing workflows using Databricks to support machine learning operations. . Implement data visualization and analytics solutions using ThoughtSpot to provide actionable insights to stakeholders. . Conduct research on prompt engineering techniques to enhance the performance of LLM-based models. . Analyze and interpret complex datasets to evaluate model performance and identify areas for improvement. . Communicate technical concepts and results effectively to both technical and non-technical stakeholders. . Develop end-to-end ML pipelines for real-time and batch predictions and integrate them with existing applications. . Champion a DevOps model and support the maturity of the ML development life cycle (MDLC). Required Qualifications, Capabilities, and Skills: . Advanced degree in Computer Science, Data Science, Mathematics, or a related field. . 8+ years of applied experience in data science, machine learning, or related areas. . Strong programming skills in Python, with experience in machine learning frameworks such as PyTorch or TensorFlow. . Experience in building and managing data lakes and data processing workflows using Databricks. . Proficiency in using GenAI models (OpenAI or similar) to solve business problems and in building AI Agents and MCP Servers . Solid understanding of data structures, algorithms, and machine learning concepts. . Experience in NLP and deep learning, with recent exposure to prompt engineering on LLMs and with big data technologies (Hadoop, Spark, etc.) . Hands-on experience with MLOps tools and practices, ensuring seamless integration of models into production environments. . Experience with Enterprise Cloud infrastructure and monitoring tools like Data Dog,, Splunk, Elasticsearch, and Grafana. Preferred Qualifications, Capabilities, and Skills: . Familiarity with data visualization tools like ThoughtSpot. . Experience in developing APIs and integrating machine learning models into software applications. . Knowledge of modern development technologies and tools such as Agile, CI/CD, Git, Terraform, and Jenkins.

This position plays a crucial role in the growth of our Business Enterprise Solutions & Technology team. Your main responsibility will be leading the efforts to streamline cloud-hosted processes and enhance our implementation. You will have the authority to innovate, discover new capabilities, and oversee their integration within RealPage. To excel in this role, you must be a proactive individual with strong problems solving abilities. You should enjoy becoming a subject matter expert in various domains, possess a keen interest in efficient processes, well-organized databases, and a dedication to maintaining clean data. If you seek a work environment where your ideas are valued and your contributions are acknowledged, then this opportunity is perfect for you! Your primary responsibilities will include: - Developing scalable applications for cloud platforms such as Azure, AWS, GCP, Oracle, etc. - Creating advanced cloud functions and web components - Establishing and maintaining declarative functionality using React Flows or similar tools (validation rules, approvals, etc.) - Designing data models, user interfaces, business logic, and security for custom applications - Translating business requirements into actionable functionalities - Estimating the level of effort and exploring potential delivery options - Performing data cleansing and manipulations utilizing various tools and scripts - Ensuring security by configuring and managing access and sharing rules - Collaborating with stakeholders and customers to deliver solutions Required Knowledge/Skills/Abilities: - 5+ years of experience in implementing web projects from inception to launch - Proficiency in GitHub Copilot or similar tools to enhance development quality and speed - Familiarity with Prompt Engineering and GenAI models (OpenAI, Claude, Vertex, etc.) - Proficient in developing high-quality, performant web applications using JavaScript/Typescript, React, and NextJS/NodeJS - Ability to work with cross-functional teams to design, develop, and deploy new features - Strong skills in writing clean, maintainable, and testable code - Participation in code reviews and providing constructive feedback to enhance code quality - Effective troubleshooting and debugging skills - Keeping up-to-date with industry trends and best practices - Strong understanding and experience with Typescript, React, NextJS/NodeJS, Redux, GraphQL, server-side rendering, HTML, CSS, and JavaScript - Knowledge of Agile development methodologies - Excellent problem-solving abilities - Attention to detail and proficiency in writing clean, maintainable code - Strong communication skills and ability to collaborate with cross-functional teams Preferred Knowledge/Skills/Abilities: - Experience with agile development methodologies such as Scrum, Kanban, Mob Programming, etc. - Understanding of SOLID principles and Clean Architecture - Experience with enterprise business applications - Proficiency in GIT or other comparable source version control tools - Experience using Visual Studio Code for cloud development - OpenJS Node.js Application Developer certifications - Comfort with Whiteboarding and Wireframe solutioning,

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. We are counting on your unique voice and perspective to help EY become even better. Join us and build an exceptional experience for yourself and contribute to creating a better working world for all. As a Tech & AI Lead Associate Director at EY, you will be part of the Global Analytics team, working in a small, agile analytics team within Global Finance serving teams across EY. Your role will involve leading as the Tech & AI Lead, responsible for identifying and implementing opportunities to leverage AI to provide actionable insights across EY. You will utilize your knowledge of AI and experience in a wide range of tools and technologies to create efficient and scalable solutions across all operations. Your key responsibilities will include ensuring the analytics team effectively utilizes the latest GenAI models and technologies, reviewing the tech stack, proposing alternatives where necessary, and enhancing the use of AI to improve operational processes. You will lead projects that provide innovative, data-driven perspectives on key business questions, assisting in developing narratives to guide investments across the organization. In this role, you will gather requirements from key business stakeholders, develop innovative solutions, lead global project teams, provide technical direction, and create compelling deliverables to communicate key insights and recommendations to senior audiences. Additionally, you will mentor junior colleagues and peers in their technical development through training sessions and knowledge sharing. To qualify for this role, you must hold a strong academic record with a PhD or Masters degree in Machine Learning & AI, along with leading knowledge and experience in applying emerging GenAI models & tech. You should have demonstrable experience in relevant technical roles, including data insight/analytics roles, extensive experience across the software development life cycle, proficiency in Python and SQL, and experience in decision-making models for better business decisions. Ideally, you will also have experience in automation, data visualization applications, statistical modeling, handling missing data, building interactive dashboards, working in an agile environment, and strategy functions. EY offers a competitive remuneration package, flexible working arrangements, career development opportunities, and a supportive work environment to help you progress your career in a way that suits your needs. Join us in building a better working world at EY.,

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. As a Tech And AI Lead Associate Director at EY, you will have the opportunity to work in a small, agile analytics team within Global Finance, serving teams across EY. Your role will involve working with EY's global leadership to ensure that the best data and analytics-driven insights are used in strategic and operational decision-making across the firm. You will lead the Tech & AI initiatives within the analytics team, identifying and implementing opportunities to leverage AI for actionable insights across EY. Your responsibilities will include using your knowledge of AI and experience in various tools and technologies to develop efficient and scalable solutions. You will lead projects that provide innovative, data-driven perspectives on key business questions, shaping narratives that guide investments across the business. Key Responsibilities: - Ensure the analytics team utilizes the latest GenAI models and technologies effectively - Review the tech stack, architecture, and models to propose commercially effective alternatives - Lead projects such as the GenAI Insight Portal, integration of GenAI functionality, design of communication/alert systems, recommendation systems, process automation, and implementation of new technologies - Gather requirements from stakeholders, develop innovative solutions, lead project teams, provide technical direction, and create compelling deliverables for senior audiences - Coach and mentor junior colleagues in their technical development through training sessions and knowledge sharing Skills and Attributes: - Hold a PhD or Masters level degree in Machine Learning & AI - Experience in applying emerging GenAI models & tech - Extensive experience in data insight/analytics roles, software development life cycle, Python, SQL, database design, version control systems, decision-making models, stakeholder engagement, data storytelling, and project management - Prioritization, time management, and leadership skills - Additional experience in automation, data visualization, statistical modeling, handling missing data, interactive dashboards, agile environment, and strategy function is desirable Working at EY: EY is committed to being an inclusive employer with flexible working arrangements and a competitive remuneration package. You'll receive support for career development, coaching, feedback, and opportunities to progress your career while maintaining a balance between work and personal priorities. EY offers a comprehensive Total Rewards package and benefits tailored to your needs, including holidays, health, well-being, insurance, savings, and various discounts and promotions. Join EY in building a better working world, where diverse teams across over 150 countries provide trust through assurance, help clients grow, transform, and operate, and find new answers to complex global issues.,

Job Title: Data Scientist (GenAI & Python) Practice: Data & Analytics Experience Required: 5+ Years Role: Data Scientist Job Description: We are looking for a Data Scientist with5 years of experience and strong expertise in Python programming , Generative AI , and GCP Services . The ideal candidate should have hands-on experience working with GenAI models (Gemini/OpenAI) , Vertex AI , BigQuery NLP , and building RAG-based solutions . The candidate should also be comfortable with modern MLOps tools and advanced NLP/CV techniques. Key Responsibilities: Develop and deploy AI/ML solutions leveraging GenAI (Gemini/OpenAI) and Vertex AI Build RAG (Retrieval Augmented Generation) based solutions using Vector DBs , chunking , and embedding techniques Create and manage CI/CD pipelines for model deployment and updates Work with GCP services , especially BigQuery , Form Recognizer , and Vertex AI pipelines Build and expose APIs using FastAPI or Django for AI service integration Design and optimize NoSQL and Vector Databases Implement NLP , Computer Vision (CV) , and Deep Learning models for healthcare data Collaborate with cross-functional teams including engineering and product Primary Skills Required: Strong proficiency in Python programming Experience with GCP services , especially Vertex AI and BigQuery NLP Hands-on with GenAI models like Gemini and OpenAI Knowledge of Form Recognizer and CI/CD pipelines Experience with Vector DBs , embedding techniques , chunking , and retrieval methods Solid understanding of Machine Learning , Deep Learning , NLP , and Computer Vision API development using FastAPI or Django Familiarity with NoSQL databases and RAG-based architectures Contact: 91 97041 22348 / hr@singhtechservices.com

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

The Automation Office (TAO) is a leading automation consulting and solutions provider located in Bengaluru. Specializing in automation strategies, ranging from basic RPA to advanced cognitive and machine learning solutions, TAO aims to transform how companies operate. With a focus on end-to-end automation, TAO collaborates closely with clients to develop and implement cutting-edge solutions supported by proprietary tools, frameworks, and a team of experts. We are currently seeking a talented individual to join our team in the role of Software Engineer (Python) specializing in AI/ML technologies. The ideal candidate should possess 3-5 years of experience and be based in Bangalore, Karnataka. The primary responsibilities of this role include expertise in cloud technologies, particularly Microsoft Azure, and hands-on experience in developing and maintaining AI/ML pipelines. As a Software Engineer at TAO, you will be responsible for designing, developing, and deploying scalable cloud-based applications while ensuring the seamless integration of AI/ML models into production environments. Key responsibilities include building robust Python applications aligned with best practices, developing APIs and microservices to support cloud-based applications, and designing AI/ML pipelines for model training, validation, and deployment. The successful candidate will have a strong background in Python application development, object-oriented design patterns, RESTful APIs, and distributed systems. Experience with Microsoft Azure and its core services, as well as building, deploying, and maintaining AI/ML pipelines in production environments, is essential. Additionally, familiarity with CI/CD pipelines, version control, and modern software development practices is preferred. Qualifications preferred for this role include a Bachelor's degree in engineering or computer science, with a preference for a Master's degree in Engineering or Computer Science. Relevant certifications in Azure or cloud technologies are considered a plus. This is a full-time position based in Bengaluru, Karnataka. If you are passionate about AI/ML technologies and have a strong background in Python application development, we invite you to join our team at TAO and contribute to revolutionizing automation solutions.,

As a Fullstack Python Developer specializing in FastAPI, React, and Generative AI, you will play a crucial role in developing scalable web applications, intelligent APIs, and AI-powered user experiences. Your responsibilities will span from backend development using Python and FastAPI to frontend development with React. Additionally, you will integrate Generative AI models to enhance the functionality of the applications you build. Your key responsibilities will include developing and maintaining RESTful APIs with FastAPI, implementing microservices architecture, and integrating GenAI models such as OpenAI, Hugging Face, and Stability AI. On the frontend side, you will work on creating responsive and dynamic user interfaces using React or Next.js, ensuring seamless integration with backend services and GenAI outputs. In terms of Generative AI integration, you will implement features like text summarization, intelligent search, and image generation. You will also work with vector databases like Pinecone and Qdrant, optimizing prompt engineering and model interaction for performance and accuracy. Furthermore, you will be involved in DevOps and Infrastructure tasks, including containerizing applications using Docker and deploying them via Kubernetes or cloud platforms. You will also set up CI/CD pipelines and monitor system performance and reliability. To excel in this role, you should have at least 4 years of experience in fullstack development and a strong proficiency in Python, FastAPI, and ReactJS. Experience with GenAI tools and APIs such as LangChain, Hugging Face, and OpenAI is essential. Familiarity with technologies like Redis, RabbitMQ, Docker, and cloud services (AWS/GCP) is also required. An understanding of RESTful APIs, async processing, and vector search will be beneficial. Additionally, bonus skills include experience with multimodal GenAI (text, image, audio), knowledge of prompt engineering and model fine-tuning, and contributions to open-source AI or fullstack projects.,

As the Application Developer, you will be responsible for the development of applications with a keen focus on correctness, resilience, and quality. You will troubleshoot system problems and conduct thorough impact analysis of any changes across different applications within Business Intelligence. Taking ownership of the full software development lifecycle, you will lead discussions, design, develop, test, and deploy solutions. Additionally, you will create detailed technical specifications, test case documents, and regression testing results for all changes. Your role will involve designing and implementing data models to support various business needs, including analytics, reporting, and machine learning. Effective communication and collaboration with global teams will be essential. Providing expert advice and design inputs in the areas of Data Modelling, Data Warehousing, Data Marts, Data Governance, and Security will also be part of your responsibilities. **Mandatory Requirements:** - Bachelor's degree in computer science or a related field (graduate). - 5-8 years plus relevant industry experience. - Proficiency in Python, AI/ML, SQL, and/or any other scripting language. - Experience in developing and tuning LLMs or GenAI Models (GPT, LLaMA, Claude). - Strong proficiency in Python and libraries such as LangChain, HayStack, Transformers. - Good Experience in Machine Learning and training models using XGBoost, Neural Networks, Random Forests, Scikit-Learn, Pandas. - Experience conducting Exploratory Data Analysis (EDA) to identify trends and patterns, report key metrics. - Knowledge of Tableau/Visualization to integrate/deploy trained models to Analytics Suite. - Hands-on experience with at least 1 end-to-end implementation cycle of a data science project. - Strong knowledge of statistical analysis and modeling techniques. - Experience with Cloud Data Lake technologies such as Snowflake. **Desirable Requirements:** - AI&ML certification. - Working Knowledge of various analytics applications such as Informatica for ETL and Tableau including installation/upgrade. - Familiarity with Documentation and collaboration tools (Confluence, SharePoint, JIRA). - Comfortable working in Agile methodology and full SDLC process. - Excellent interpersonal, communication, and team building skills with the ability to explain complex topics clearly. - Self-motivated with a proactive approach. - Flexibility to work on multiple items, open-minded, and willing to contribute in an individual capacity. - Working knowledge of Gitlab CI/CD. This is a Full-time, Permanent position suitable for candidates with relevant experience and a keen interest in application development and data science. The work location is in person.,

At Capgemini Invent, you will be part of a team that believes in driving change through innovation. As transformation consultants, we combine strategic, creative, and scientific capabilities to collaborate closely with clients, delivering cutting-edge solutions tailored to address the challenges of today and tomorrow. Our approach is informed and validated by science and data, supercharged by creativity and design, and supported by purpose-built technology. As an OpenAI Developer at Capgemini Invent, you will play a key role in our dynamic team. We are looking for a candidate with a strong understanding of AI and machine learning, specifically skilled in integrating OpenAI models with Microsoft's Power Platform, Azure Cognitive Services, and agentic AI frameworks. Your responsibilities will include developing, implementing, and optimizing GenAI models for various applications such as chatbots and customer support, designing and developing backend services using Python, working with custom datasets to train and fine-tune models, and integrating Azure cognitive services to enhance AI solutions. To excel in this role, you should have a solid background in OpenAI GPT models and their applications, experience with agentic technologies for multi-agent systems, and a good grasp of machine learning fundamentals. Practical knowledge of Natural Language Processing (NLP) techniques is also essential. At Capgemini, we value flexible work arrangements to support your work-life balance. Whether it's remote work or flexible hours, we provide an environment that prioritizes your well-being. Additionally, we are committed to your career growth and offer a range of programs and opportunities to help you explore and advance in your profession. You will have access to valuable certifications in cutting-edge technologies like Generative AI. Join Capgemini, a global business and technology transformation partner with a strong heritage of over 55 years. Our diverse team of 340,000 members in more than 50 countries is dedicated to accelerating the digital and sustainable transition of organizations, creating tangible impact for enterprises and society. We deliver end-to-end services and solutions leveraging our expertise in AI, generative AI, cloud, and data, combined with deep industry knowledge and a robust partner ecosystem.,

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