15 Cognitive Services Jobs

Use GPT API or Llama to develop custom frameworks for investment management alternate data analysis Use Orchestration tools like N8n for document ingestion Setup on cloud or private using Coreweave Lead Machine Learning and UI Engineers Required Candidate profile 3+ years of development experience in .NET , Python and Azure 3+ years of experience in Data Science along with hands on GenAI and LLMs Experience with VectorDB, documentation ingestion workflows etc.

At Genpact, we don&rsquot just adapt to change&mdashwe drive it. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos AI Gigafactory, our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that&rsquos shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook. Inviting applications for the role of Vice President - Microsoft PowerApps, Power Platform, and Azure AI Services Consultant In this role, We are seeking a highly skilled Microsoft PowerApps, Power Platform, and Azure AI Services Consultant to lead and support digital transformation initiatives for financial institutions and insurance providers. The ideal candidate will have deep expertise in Microsoft PowerApps, Power Platform, and Azure AI Services, with a strong understanding of Property & Casualty (P&C) insurance processes. This role will help clients streamline workflows, enhance customer experience, and improve operational efficiency by leveraging the full Microsoft technology stack, including PowerApps, Power Automate, Power BI, and Azure AI. Responsibilities . Implementation Leadership: Lead and support the implementation of Microsoft PowerApps, Power Platform, and Azure AI Services for financial institutions and insurance providers, ensuring seamless execution and integration with existing business processes. . Workflow Optimization: Analyze, design, and configure PowerApps and Power Platform solutions to optimize claims processing, underwriting, policy management, and regulatory compliance in P&C insurance. . Stakeholder Engagement: Collaborate closely with business stakeholders to identify pain points in existing processes and propose tailored solutions using PowerApps for custom app development, Power Automate for workflow automation, and Azure AI Services for data-driven insights and automation. . System Integration: Lead the integration of PowerApps and Azure AI with core insurance platforms such as Guidewire, Duck Creek, or other legacy policy administration systems to ensure smooth data flow and end-to-end process automation. . Automation and Process Improvement: Leverage Power Automate to enable the seamless automation of policy servicing, claims management, and underwriting processes, and use Azure AI Services like Machine Learning, Cognitive Services, and Azure Bot Service to drive predictive analytics and process optimization. . Strategic Advisory: Provide strategic advisory services to insurance firms on leveraging Power Platform and Azure AI to enhance operational efficiency, improve customer satisfaction, and drive profitability. . Client Presentations and Workshops: Lead PowerApps demonstrations and Azure AI workshops for clients to showcase the potential capabilities of Microsoft technologies, highlighting how they can improve efficiency, streamline workflows, and drive business outcomes. . Best Practices and Governance: Develop and deliver best practices, governance models, and continual improvement strategies to ensure Power Platform and Azure AI implementations are efficient, scalable, and sustainable. . Cross-Functional Collaboration: Work closely with cross-functional teams, including developers, architects, and business analysts, to implement solutions effectively, ensuring alignment with client objectives Qualifications we seek in you! Minimum Qualifications / Skills . Extensive experience in Microsoft PowerApps, Power Platform, and Azure AI Services implementation, particularly in the insurance industry. . Deep understanding of P&C insurance processes, including claims management, underwriting, policy administration, and regulatory compliance. . Hands-on experience in PowerApps development for custom insurance applications (e.g., claims tracking, policy management), Power Automate for workflow automation, and Azure AI services (e.g., Azure Machine Learning, Cognitive Services, Azure Bot Service). . Knowledge of Power Platform integration with core insurance systems such as Guidewire, Duck Creek, or other legacy policy administration platforms. . Strong analytical and problem-solving skills, with the ability to translate business needs into technical requirements and propose AI-driven solutions. . Familiarity with Azure Data Services (e.g., Azure Data Lake, Azure SQL Database) to store, manage, and analyze insurance data. . Microsoft certifications in PowerApps, Power Platform, Azure AI Services, or other relevant technologies are preferred. . Excellent communication skills, with the ability to engage with stakeholders at all levels and present complex solutions clearly. Preferred Qualifications/ Skills . Experience working with mid-to-large insurance companies in a consulting or technical advisory role. . Familiarity with AI-powered automation and digital transformation trends in financial services and insurance. . Exposure to Azure Cognitive Services for natural language processing, computer vision, or speech recognition to enhance customer service or fraud detection in insurance. . Experience with Azure Databricks for advanced data analytics or Azure Machine Learning to build predictive models for fraud detection, risk management, and claims optimization. . Ability to lead PowerApps training sessions and change management initiatives to empower clients to adopt and effectively utilize Power Platform and Azure AI capabilities. . Microsoft Certified: Power Platform App Maker Associate . Microsoft Certified: Azure AI Fundamentals . Microsoft Certified: Azure Data Scientist Associate . Microsoft Certified: Azure AI Engineer Associate . Microsoft Certified: Power Platform Functional Consultant Associate Why join Genpact . Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation . Make an impact - Drive change for global enterprises and solve business challenges that matter . Accelerate your career - Get hands-on experience, mentorship, and continuous learning opportunities . Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day . Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

ob Title: AI Engineer. ey Responsibilities:. Architect, develop, and deploy advanced AI solutions, encompassing Machine Learning, Generative AI, NLP, and LLMs.. Remain abreast of the latest AI advancements, actively researching and integrating emerging trends and technologies such as LLMOps, Large Model Deployments, LLM Security, Vector Databases, etc.. Streamline data modeling processes to automate tasks, enhance data preparation, and facilitate data exploration to optimize business outcomes.. Collaborate closely with cross-functional teams, including business units, accounts teams, researchers, and engineers, to translate business requirements into actionable AI solutions.. Exhibit expertise in responsible AI practices, ensuring fairness, transparency, and interpretability in all models.. Identify and mitigate potential risks related to AI and LLM development and deployment, emphasizing data trust and security.. Contribute to the professional development of the AI team by mentoring engineers, fostering knowledge sharing, and promoting a culture of continuous learning.. This role is based in a lab environment and involves hands-on, fast-paced, and high-intensity work. The ideal candidate should be proactive, adaptable, and comfortable working in a dynamic and demanding setting.. ualifications:. Minimum of 2 years of hands-on experience in developing and deploying AI solutions, with a proven track record of success.. Master’s degree in Computer Science, Artificial Intelligence, or a related field (or equivalent experience).. Proficiency in Machine Learning, NLP, Generative AI, and LLMs, including their architectures, algorithms, and training methodologies.. Understanding of LLMOps principles, Prompt Engineering, In-Context Training, LangChain, and Reinforcement Learning.. Familiarity with best practices for large model deployment, monitoring, management, and scalability.. Experience with Azure Cloud services.. Strong communication, collaboration, and problem-solving abilities.. Commitment to ethical AI practices and security standards.. Proficiency in deep learning frameworks and languages such as Azure ML platform, Python, PyTorch, etc.. Hands-on experience with ML frameworks, libraries, and third-party ML models.. Expertise in building solutions using AI/ML/DL open-source tools and libraries.. Strong analytical and problem-solving skills.. Ability to write optimized and clear code, and address complex technical challenges effectively.. Self-motivated and fast learner, with a proactive approach to learning new technologies.. Proficiency in data analysis and troubleshooting skills.. Experience in building AI/ML/DL solutions for NLP/text applications, with familiarity in reinforcement learning being advantageous.. Minimum of 2 years of experience on AI/ML/DL projects, with specialization or certification in Artificial Intelligence being a plus.. Good knowledge of Azure AI/Cognitive Services tools.. Show more Show less

Use GPT API or Llama to develop custom frameworks for investment management alternate data analysis Use Orchestration tools like N8n for document ingestion Setup on cloud or private using Coreweave Lead Machine Learning and UI Engineers Required Candidate profile 3+ years of development experience in .NET , Python and Azure 3+ years of experience in Data Science along with hands on GenAI and LLMs Experience with VectorDB, documentation ingestion workflows etc.

We are seeking a highly skilled and motivated Software Engineer with expertise in Azure AI, Cognitive Services, Machine Learning, and IoT. The ideal candidate will design, develop, and deploy intelligent applications leveraging Azure cloud technologies, AI-driven solutions, and IoT infrastructure to drive business innovation and efficiency. Responsibilities: Develop and implement AI-driven applications using Azure AI and Cognitive Services. Design and deploy machine learning models to enhance automation and decision-making processes. Integrate IoT solutions with cloud platforms to enable real-time data processing and analytics. Collaborate with cross-functional teams to architect scalable, secure, and high-performance solutions. Optimize and fine-tune AI models for accuracy, performance, and cost-effectiveness. Ensure best practices in cloud security, data governance, and compliance. Monitor, maintain, and troubleshoot AI and IoT solutions in production environments. Stay updated with the latest advancements in AI, ML, and IoT technologies to drive innovation. Required Skills and Qualifications: Bachelors or Master’s degree in Computer Science, Engineering, or a related field. Strong experience with Azure AI, Cognitive Services, and Machine Learning. Proficiency in IoT architecture, data ingestion, and processing using Azure IoT Hub, Edge, or related services. Expertise in deploying and managing machine learning models in cloud environments. Strong understanding of RESTful APIs, microservices, and cloud-native application development. Experience with DevOps practices, CI/CD pipelines, and containerization (Docker, Kubernetes). Knowledge of cloud security principles and best practices. Excellent problem-solving skills and the ability to work in an agile development environment. Preferred Qualifications: Certifications in Microsoft Azure AI, IoT, or related cloud technologies. Experience with Natural Language Processing (NLP) and Computer Vision. Familiarity with big data processing and analytics tools such as Azure Data. Prior experience in deploying edge computing solutions. AI Engineer Role & responsibilities Preferred candidate profile

Use GPT API or Llama to develop custom frameworks for investment management alternate data analysis Use Orchestration tools like N8n for document ingestion Setup on cloud or private using Coreweave Lead Machine Learning and UI Engineers Required Candidate profile 5+ years of development experience in .NET , Python and Azure 3+ years of experience in Data Science along with hands on GenAI and LLMs Experience with VectorDB, documentation ingestion workflows etc.

Key Responsibilities: Lead AI/ML/GenAI-driven solution design and integration. Architect intelligent workflows using RPA, low-code/no-code platforms, and cognitive services. Identify opportunities for automation and transformation in client environments. Define governance, ethics, and performance monitoring for AI implementations. Required Skills: Deep knowledge of AI/ML frameworks, GenAI models, and automation tools (UiPath, Power Automate, etc.). Experience in business process optimization and intelligent workflows. Ability to translate business needs into AI use cases and value. Familiarity with ethical AI, MLOps, and prompt engineering. Expertise in technical solutions writing and presenting using tools such as Word, PowerPoint, Excel, Visio etc. High level of executive presence to be able to articulate the solutions to CXO level executives.

Experience in Troubleshooting, Debugging, C,C++ coding skills, Python, C# & JAVA. Experience in Cloud development of Azure, AWS. Machine learning & Cognitive Services, Azure Fundamentals. Meet SLA's of incident and provide technical support.

We are looking for a forward-thinking Microsoft Copilot Studio AI Engineer to join our growing innovation team. In this role, you will lead the design, development, and deployment of intelligent agents using Microsoft Copilot Studio and Azure AI tools . You will work closely with cross-functional teams to automate business workflows, boost productivity, and deliver outstanding user experiences across platforms like Microsoft 365, Salesforce, Workday, Dynamics 365, and more. This position offers the opportunity to shape enterprise-wide AI transformation by combining low-code/no-code tools with advanced AI orchestration using Azure AI Studio, Foundry, and OpenAI. ** Shortlisted candidates will participate in a 2-hour interview round , including a presentation of their real-world AI or Agentic AI project experience , with a focus on agent design, prompt engineering, and enterprise impact. KEY RESPONSIBILITIES Collaborate with stakeholders to identify business needs and define Copilot use cases. Design, build, and optimize intelligent agents using Microsoft Copilot Studio, Azure AI Studio, and Azure AI Foundry. Integrate agents into enterprise ecosystems such as Microsoft 365, Power Platform, Salesforce, Workday, and others via APIs and connectors. Deploy agents across channels, including Microsoft Teams, Slack and web. Enhance automation using Azure Logic Apps, Azure Functions, and Azure Cognitive Services. Monitor and analyze performance using Azure Monitor, Application Insights, and feedback telemetry. Design human-in-the-loop (HITL) workflows to support accuracy, compliance, and trust. Apply Responsible AI principles in development, testing, and deployment processes. Build reusable templates, connectors, and governance frameworks for agent scalability. Stay current with Microsoft Copilot platform updates and industry best practices. Rapidly prototype and iterate in sandbox environments to test new agent capabilities. SKILLS & QUALIFICATIONS - Required Skills & Expertise Core Engineering Skills Proven hands-on experience with Microsoft Copilot Studio, Power Platform, and Azure AI services. Experience building solutions with Azure AI Foundry, Azure OpenAI, and Cognitive Services. Solid programming background in C#, JavaScript, Python, or equivalent. Proficiency with large datasets and BI tools for telemetry and feedback integration. AI/LLM Expertise Proficient in working with large language models (LLMs), including prompt engineering, fine-tuning, and evaluation using established AI benchmarking frameworks. Deep understanding of agent orchestration patterns, including memory management, feedback loops, tool use, and human-in-the-loop (HITL) systems. Experience designing and deploying intelligent copilots using Azure AI Studio or Copilot Studio, with a focus on grounding, safety, and user experience. Enterprise Integration Experience integrating with enterprise systems such as Salesforce, Workday, and Microsoft 365. Knowledge of API development, RBAC, data governance, and enterprise-grade security. Preferred Qualifications Experience with Microsoft 365 Copilot, Copilot connectors, and multi-channel AI deployments. Understanding of conversational UX, agent lifecycle management, and middleware integration. Microsoft certifications such as PL-500, AI-102, or Power Platform Solution Architect. Bachelor's degree in computer science, Engineering, or a related technical discipline.

Engineer/Sr. Engineer Data Science Location: Pune, India Company Overview: Simplify Healthcare is one of the fastest-growing healthcare technology solutions providers serving the US health insurance (Payer) industry. Headquartered in Chicago with a Global Delivery Centre in Pune, we are trusted by 65+ payer organizations and supported by a team of 800+ professionals. We specialize in delivering SaaS-based enterprise software solutions focused on product and benefits configuration, provider lifecycle management, and more. In 2023, we launched Simplify Health Cloud, our flagship Payer Platform, establishing our position as a leader in cloud-native, low-code configurable platforms for the healthcare sector. With our strategic acquisition of Virtical.ai in 2024, we’re accelerating innovation through AI integration, particularly in areas such as LLMs, conversational AI, and cloud-based intelligence. Our proprietary Simplify App Fabric™ enables fast, secure, and low-code development for modern Payer solutions. Our innovation has earned us repeated recognition in Deloitte Technology Fast 500™, Inc. 5000, and reports by IDC and Gartner. Role Summary: We are seeking a highly skilled and hands-on Engineer / Sr. Engineer – Data Science to join our AI and NLP engineering team. This role is critical to building scalable, intelligent systems leveraging Large Language Models (LLMs), NLP frameworks, and speech technologies. Key Responsibilities: Design and develop scalable NLP pipelines for various healthcare applications. Integrate and fine-tune LLMs (OpenAI, open-source) with Retrieval-Augmented Generation (RAG) frameworks like LangChain. Build and deploy APIs for conversational agents, chatbots, and AI-driven interfaces. Implement Speech-to-Text (STT) and Text-to-Speech (TTS) services using Azure, AWS, or Google Cloud. Work with vector databases like Pinecone to enable semantic search and context-aware interactions. Collaborate with cross-functional teams throughout the SDLC to deliver AI capabilities within our healthcare platform. Apply DevOps/MLOps practices for CI/CD, monitoring, and model lifecycle management. Mentor junior engineers and guide implementation across teams. Acquire and apply functional knowledge of the US healthcare system and Payer business processes. Required Qualifications: 5+ years of software development experience, with at least 2 years in NLP engineering. Strong coding proficiency in Python, particularly for NLP and AI/ML tasks. Hands-on experience with spaCy, NLTK, or similar NLP frameworks. Proven experience working with LLMs, LangChain, or RAG-based architectures. Experience with TTS/STT tools like Azure Speech Services, Google Cloud Speech, Amazon Polly, etc. Familiarity with vector databases (e.g., Pinecone) for semantic and contextual retrieval. Cloud experience, especially Microsoft Azure; knowledge of AWS or GCP is also acceptable. Understanding of DevOps/MLOps pipelines and tooling (e.g., CI/CD, model versioning). Exposure to AI/ML frameworks such as PyTorch, TensorFlow, or Scikit-learn. Preferred (Good to Have): Experience in deploying LLMs or chatbots in production. Domain knowledge in healthcare or Payer systems. Exposure to low-code/no-code development platforms. What We Offer: Work on cutting-edge AI/LLM products in healthcare. A fast-growing, innovation-focused environment. Opportunities for learning, mentorship, and career growth. Global exposure with a focus on real-world AI applications. Interested candidates to send updated resume with contact number on seba.vipulsam@simplifyhealthcare.com on priority.

Customize Llama or leverage OpenAI to develop custom frameworks for investment management alternate data analysis Use Orchestration tools like N8n for document ingestion Setup on cloud or private using Coreweave Lead Machine Learning and UI Engineers Required Candidate profile 5+ years of development experience in .NET , Python and Azure 3+ years of experience in Data Science along with hands on GenAI and LLMs Experience with VectorDB, documentation ingestion workflows etc.

Develop and implement AI scripts using Python to automate processes and tasks. Apply knowledge of the OpenAI API to create complex AI workflows and enhance automation solutions. Lead the deployment of AI solutions in Azure Apply Langchain Required Candidate profile 5+ years of development experience in .NET , Python and Azure 3+ years of experience in Data Science, Machine learning along with hands on experience with GenAI and LLMs

About Company: Agilysys Technologies is a leading provider of innovative technology solutions, committed to transforming the way businesses operate through our state-of-the-art software and services. Our focus on customer satisfaction, coupled with a drive for excellence, positions us at the forefront of technological advancements in the industry. Job Summary: We are seeking a talented and motivated AI Developer to join our dynamic team. In this role, you will leverage advanced AI technologies, including Azure Open AI, Copilot Studio, Power Automate, Azure ML, and Cognitive Services, to develop and implement intelligent solutions that enhance business processes and drive operational efficiency. If you are passionate about artificial intelligence and have the required skill set, we invite you to apply and help us shape the future of technology at Agilysys Technologies. Key Responsibilities: - Design, develop, and implement AI solutions using Azure Open AI and other relevant tools to meet business requirements. - Collaborate with cross-functional teams to identify opportunities for leveraging AI and automation to improve existing processes. - Utilize Copilot Studio and Power Automate to develop automated workflows that enhance productivity and efficiency. - Employ Azure ML to build, train, and deploy machine learning models that solve complex business problems. - Integrate and utilize Cognitive Services to enhance applications with capabilities such as natural language processing, image recognition, and predictive analytics. - Conduct testing and validation of AI models and applications to ensure accuracy and performance. - Monitor and analyze system performance, making necessary adjustments to optimize solutions and address any issues. - Stay up-to-date with the latest advancements in AI technologies and propose innovative solutions to enhance our offerings. Required Skills : Language: Python/C# Or Python/Java AI Skills: Azure OpenAI ,Copilot Studio ,Power Automate, Azure ML and Cognitive Services - Design and develop AI-powered applications using Microsoft Azure AI, Power Platform - Build, extend, and maintain Power Virtual Agents (via Copilot Studio) for internal and external users. - Integrate Azure OpenAI Service (ChatGPT, GPT-4) with business applications using APIs and Azure Functions. - Build custom connectors, Power Automate flows, and canvas apps as part of intelligent business solutions. - Develop AI models for vision, speech, language, or decision-making using Azure Cognitive Services and Azure Machine Learning. Preferred Qualifications: - Experience in a similar role within the technology industry. - Familiarity with data processing tools and frameworks. - Knowledge of cloud computing principles and practices.

Develop and implement AI scripts using Python to automate processes and tasks. Apply knowledge of the OpenAI API to create complex AI workflows and enhance automation solutions. Lead the deployment of AI solutions in Azure Apply Langchain Required Candidate profile 5+ years of development experience in .NET , Python and Azure 3+ years of experience in Data Science, Machine learning along with hands on experience with GenAI and LLMs

Key Skills - Python Data Engineering Mysql Java AWS git Excel Linux (Server) Copilot Studio Data Analysis Dialog flow Kore.ai Five9 Power Automate (RPA) Conversational Ai NLP Role & Responsibilities - Design and develop high-quality conversational bots using Google Dialogflow, Yellow.ai, and Kore.ai platforms. - Implement custom scripting and integration with third-party services to enhance bot functionality. - Provide technical support and documentation for developed bots - Adhere to laws, regulations, company policies, procedures, internal and external Standards • Attend recurrent trainings published by the Client/Company on a regular basis Preferred candidate profile BPO Background