11 Cognitive Services Jobs

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

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 and Azure and UI using ASP,NET or React Experience with Azure OpenAI Experience with LangChain and working with GPT models Strong understanding of LLMs

Job Title:AI/RPA Solution Architect About The Role :: We are seeking a highly skilled and experienced AI/RPA Solution Architect to join our Automation team. The ideal candidate will possess a robust background in AI technologies and extensive experience in RPA solutions. This role demands a deep understanding of AI/ML, NLP, and RPA tools, with a focus on delivering innovative solutions to our clients. Key Responsibilities: Solution Design: Architect and implement AI and RPA solutions tailored to meet specific business needs, ensuring scalability and efficiency. Collaboration: Work closely with cross-functional teams, including data scientists, software developers, and business analysts, to seamlessly integrate AI/ML models and RPA workflows. Model Development: Develop and maintain scalable AI/ML models using Python and relevant libraries such as TensorFlow, PyTorch, scikit-learn, NLTK, and spaCy. RPA Leadership: Lead the architecture and development of RPA solutions using Automation Anywhere (AA 360) and Power Platform, ensuring robust and efficient automation processes. Best Practices: Ensure adherence to best practices in AI/ML and RPA development, including code quality, testing, and documentation. Mentorship: Provide technical guidance and mentorship to junior team members, fostering a culture of continuous learning and improvement. Innovation: Stay abreast of the latest advancements in AI and RPA technologies, and proactively incorporate new tools and methodologies to enhance solution offerings. Requirements: Experience: 7-10 years of experience in implementing AI and RPA technologies Technical Skills: Must Have 1. Well versed in Microsoft Stack i.e. Azure ML/Cognitive Services, AI Builder etc. 2. Proficiency in Python and its libraries for AI/ML and NLP tasks (e.g., TensorFlow, PyTorch, scikit-learn, NLTK, spaCy) RPA Tools: Extensive experience with RPA tools, specifically Automation Anywhere (AA 360) and Power Automate Problem-Solving: Strong problem-solving skills and the ability to thrive in a fast-paced environment Communication: Excellent communication and collaboration skills, with the ability to convey complex technical concepts to non-technical stakeholders Education: A masters degree and/or degree in Computer Science, Engineering, or a related field is preferred Preferred Qualifications: Cloud Platforms: Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) for deploying AI/ML models. Additional Languages: Knowledge of other programming languages such as HTML, CSS, JavaScript, and C#. Certifications: Certification in AI/ML or RPA technologies. Tools and Technologies: Familiarity with additional tools and technologies such as Docker, Kubernetes, Jenkins, Git, and CI/CD pipelines for streamlined development and deployment processes.