37 Cognitive Services Jobs

Requirement Analysis: Collaborate with business stakeholders to gather requirements and define solution objectives aligned with business goals. Development and Implementation: Lead AI solution implementation including data integration, model development, and deployment. Engineer and improve AI systems and tools. Build prototypes, POCs, and MVPs to bring solutions in a structured manner. Security and Compliance: Ensure AI solutions adhere to security best practices and data privacy regulations. Documentation and Training: Create technical documentation and best practice guidelines. Provide training on AI technologies. Monitoring and Maintenance: Implement monitoring to track AI solution performance and proactively address issues. Architecture: Design scalable, secure, and compliant AI solutions in collaboration with AI architects, integrating smoothly with existing IT infrastructure. Development and Implementation: Develop, test, and implement solutions following SDLC best practices, including version control, code review, and CI/CD processes. Quality Assurance and Testing: Execute comprehensive testing strategies and resolve defects. Integration and System Connectivity: Manage AI solution integration with internal and external systems, ensuring data consistency and interoperability. Documentation and Change Management: Produce detailed documentation for AI processes and handle changes with minimal disruption. Contribute to best practice development. What you need: Required Qualifications: Minimum 10 years in AI or data science roles, with a focus on building AI solutions on Azure. Proficient in Python or C#, with strong Azure cloud expertise. Skilled in Azure AI services (Copilot Studio, Cognitive Services, Machine Learning, OpenAI, Search, Blob Storage, Web App, Functions). Experience with LLMs, Generative AI, machine learning, NLP, and computer vision models. Preferred Qualifications: Knowledge of DevOps practices, CI/CD pipelines Azure certifications such as Azure AI Engineer Associate are a plus. Bachelor s degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or a related field (Masters degree in Science preferred).

We are looking for a highly skilled and motivated Senior Data Scientist with 35 years of hands-on experience in Machine Learning , Deep Learning , and Large Language Models (LLMs) . The ideal candidate should have strong experience working with Microsoft technologies and Azure Cloud and should be passionate about building scalable AI solutions that drive real business value. You will work closely with cross-functional teams to design, develop, and deploy data-driven models and solutions, leveraging the latest in cloud computing and AI innovations. Responsibilities: Design and develop advanced ML/DL models for predictive analytics, natural language processing, computer vision, and recommendation systems. Build and fine-tune LLMs and deploy them effectively on Azure Machine Learning or other Microsoft AI platforms. Collaborate with data engineers and cloud architects to implement end-to-end ML pipelines on Azure. Apply Deep Learning techniques using frameworks like TensorFlow, PyTorch, or Hugging Face. Conduct exploratory data analysis and identify key trends and insights to inform business decisions. Work on large-scale datasets and implement scalable solutions for model training and deployment. Ensure models are monitored, maintained, and retrained as needed to meet performance standards. Contribute to the design of data architecture and infrastructure for AI applications on Azure. Keep up-to-date with advancements in AI, ML, LLMs, and related Microsoft technologies. Qualifications: Bachelor&aposs or Masters degree in Computer Science, Data Science, Artificial Intelligence, or a related field. 35 years of relevant experience in data science, machine learning, and AI. Strong experience with Azure Cloud Services including Azure ML, Azure Data Lake, and Azure Functions. Proven experience in Machine Learning, Deep Learning, and working with LLMs. Proficiency in Python, with experience in libraries such as Scikit-learn, Pandas, NumPy, TensorFlow, PyTorch, or Hugging Face Transformers. Solid understanding of Microsofts ecosystem and AI stack (e.g., Cognitive Services, Azure OpenAI, Microsoft Fabric, etc.). Familiarity with MLOps practices and tools on Azure. Strong analytical thinking, problem-solving skills, and communication abilities. Ability to work in a collaborative and fast-paced environment. Show more Show less

We&aposre seeking a visionary Enterprise Architect to join our CTO Office and shape cross-portfolio solutions at the intersection of AI, Customer Experience (CX), Cybersecurity, and Digital Skilling technologies. Youll architect scalable, standardized solutions for global clients, govern complex deals, and collaborate with diverse stakeholders to translate business needs into future-ready technical strategies. As a trusted advisor, you will evangelize solution value, articulating how the right technology mix enables our customers to achieve strategic outcomes. At TeKnowledge , your work makes an impact from day one. We partner with organizations to deliver AI-First Expert Technology Services that drive meaningful impact in AI, Customer Experience, and Cybersecurity. We turn complexity into clarity and potential into progressin a place where people lead and tech empowers. Youll be part of a diverse and inclusive team where trust, teamwork, and shared success fuel everything we do. We push boundaries, using advanced technologies to solve complex challenges for clients around the world. Here, your work drives real change, and your ideas help shape the future of technology. We invest in you with top-tier training, mentorship, and career developmentensuring you stay ahead in an ever-evolving world. Why Youll Enjoy It Here: Be Part of Something Big A growing company where your contributions matter. Make an Immediate Impact Support groundbreaking technologies with real-world results. Work on Cutting-Edge Tech AI, cybersecurity, and next-gen digital solutions. Thrive in an Inclusive Team A culture built on trust, collaboration, and respect. We Care Integrity, empathy, and purpose guide every decision. Were looking for innovators, problem-solvers, and experts ready to drive change and grow with us. We Are TeKnowledge. Where People Lead and Tech Empowers. Responsibilities: Design enterprise-grade architectures integrating structured/unstructured data, analytics, and advanced AI models (GenAI, LLMs, cognitive services). Build scalable data pipelines and lake-centric architectures to power real-time analytics and machine learning. Architect multi-cloud AI/ML platforms using Azure, including deployment of LLMs (Azure OpenAI and open-source models like LLaMA, Mistral, Falcon). Define infrastructure, data, and app requirements to deploy LLMs in customer private data centers. Lead technical reviews for high-value deals, identifying risks and mitigation strategies. Design integrated solutions across AI, CX, Cybersecurity, and Tech Managed Services portfolios. Develop standard design patterns and reusable blueprints for repeatable, low-risk, and scalable solution delivery. Present architectural solutions to C-suite executives, aligning technical outcomes with business value and ROI. Collaborate with sales and pre-sales to scope complex opportunities and develop compelling proposals. Foster innovation across CTO, Sales, and Solution teams. Identify synergy across offerings (e.g., Microsoft Copilot + AI-first CX + Cybersecurity). Support product teams with market feedback and solution evolution. Define architectural best practices ensuring security, compliance, and scalability. Mentor delivery teams on frameworks and emerging tech adoption. Shape and execute the enterprise architecture strategy aligned with business goals. Champion digital transformation and technology innovation. Leverage expertise in Azure and Microsoft D365 to support solution architecture. Drive responsible AI adoption and ensure awareness of privacy, bias, and security in deployments. Ensure all solutions meet IT security and compliance standards. Collaborate with Legal and Procurement for contract negotiations and vendor performance. Lead, mentor, and build a high-performing, collaborative CTO team with a customer-first mindset. Qualifications: Education: Bachelor&aposs or Masters degree in Computer Science, Information Technology, Cybersecurity, or related field. Experience: 10+ years in enterprise architecture, with 5+ years in customer-facing roles. Certifications: Preferred TOGAF, Zachman, ITIL, CISSP, Azure certifications or equivalents. Proven experience architecting and delivering AI/ML platforms, data lakes, and intelligent applications at enterprise scale. Demonstrable experience deploying local LLMs in production environments, including integration with LangChain, databases, and private storage. Strong knowledge of enterprise architecture frameworks and multi-cloud platforms (with a focus on Azure). Ability to design and deliver end-to-end solutions including networks (voice and data), microservices, business applications, resilience, disaster recovery, and security. Understanding of On-Prem / Private Cloud workload migration to public or hybrid cloud environments. Commercial acumen with the ability to articulate the business value of cloud-based solutions to executive stakeholders. Strong problem-solving and critical thinking skills with a proactive, outcome-oriented mindset. Experience with cloud computing, data center technologies, virtualization, and enterprise-grade security policies/processes. Proficiency in AI/ML, cybersecurity frameworks, customer experience platforms, and Microsoft Cloud (Azure, M365, D365). Exceptional communication and storytelling abilities for both technical and non-technical audiences. Experience engaging with large enterprise clients across industries such as government, healthcare, banking & finance, travel, and manufacturing. Empowering Leadership and Innovation At TeKnowledge, we are committed to fostering a culture of inspiring leadership and innovation. Our core leadership competencies are integral to our success: Inspire: We prioritize creating an inclusive environment, leading with purpose, and acting with integrity and respect. Build: Our leaders own business growth, drive innovation, and continuously strive for excellence. Deliver: We focus on setting clear priorities, embracing agility and change, and fostering collaboration for growth. We are looking for talented individuals who embody these competencies, are ready to grow, and are eager to contribute to our dynamic team. If you are passionate about making a meaningful impact and excel in a collaborative, forward-thinking environment, we invite you to apply and help us shape the future. Show more Show less

Open Position: Staff Accountant Professional Chartered Accountant (CA) MAQ Software delivers innovative software solutions for Fortune 500 companies. Our solutions use Big Data and advanced Business Intelligence features of SQL Server, AI and Cognitive Services including Azure Machine Learning, the latest cloud computing trends including Amazon Web Services, Microsoft Azure and the latest form factors such as iOS and Android. The company has been closely aligned with Microsoft Corporation for the past twenty years. We are a Microsoft Gold Partner for Data Analytics, Application Development, and Data Platform. In addition, MAQ Software is a Consulting Partner for Amazon Web Services. Recently, MAQ Software was honored for the 11th time as one of Americas Fastest-Growing Private Companies by Inc. magazine. Less than 1% of Inc. 5000 companies demonstrate sustained growth by appearing nine or more times. Our Culture: We foster an intense work culture with a can-do attitude. All our key managers come from excellent educational backgrounds and have significant experience growing a company and mentoring software engineers. Due to our smaller size, we adopt the latest technologies and computing trends ahead of the larger industry players. As a part of the companys globally distributed engineering team, our engineers gain exposure to the latest software engineering practices and fast development cycles. Our developers routinely work on challenging technical problems that utilize the latest technologies for fast-paced software delivery. We are looking for a chartered accountant (CA) to support our Office Administration, Accounting, and compliance with local laws and regulations. The Chartered Accountants will support accounting operations teams across our three India locations. We outsource our bookkeeping and payroll. As a part of accounting operations, you will support our external partners by providing required invoices, payment records, and supporting documents. As a part of the team, you will also support capital and operating expenses exceeding two hundred crore Rupees per year. In partnership with the external payroll processing provider, you will also work on preparing and finalizing payroll for over 1,000 employees every month. Based on your expertise, you may also receive exposure to financial analysis relating to the setup of new companies, business operating models, and government incentives for investments. Due to the fast-paced and distributed nature of our projects, our company plans to appoint a Professional Chartered Account to support our fast-paced operations in Mumbai. Key result areas as a percentage of overall work items will be: Financial Analysis (10%) Help review company structure (LLP versus Private Limited, etc.) and simplify operations. Analyze government incentives and payment plans to maximize Internal Rate of Return (IRR) and project Net Present Value (NPV). Prepare reports and presentation from Managerial Accounting point of view (strategic and big picture point of view versus audit point of view). Compliances(20%) Ensure compliance with the requirements of SEZ, customs, and other government bodies. Ensure legal compliance for wages, PF, ESI, and Shops and Establishment Act, etc. for contract resources in all offices. Renew licenses under the Shops & Establishment Act and maintain allthe records. Accounting Operations(25%) Manage banking activities and relationship with our bankers. Review internal audit reports to ensure financial compliance. Create and maintain cash flow statement, andmonthly/quarterly/annual budgets. Ensure financialstatements are completed accurately and resolve any differences orissues. Manage petty cash process and transactions, including reimbursement for employees. Vendor management (25%) Lead the price and service negotiations and manage all key agreements/contracts for all the company offices in India. This includes, catering, housekeeping, landlord/ rental relationships, security, and all other contractors. Lead the procurement activitiesfor all offices by analyzing prices, timeliness, and quality. Prepare Pay Orders,manage procurements and ensure on-time delivery. Support international and domestic travel, visa, currency, ticket & accommodation. arrangementsfor company employees& visitors. Establish andmaintain hard copy and electronic filing systemsfor departmental data, documents, and other materials. Payroll Support (20%) Review the salary input files for allthe company offices in India. Coordinate with the payroll agency to ensure accurate salary disbursements. Support the HR team for financial and taxation related queries. Candidate Profile: Qualificationsshould include: Qualified Chartered Accountant Ability to travel to various government officesin Mumbai. Proficiency inMicrosoft Excel and newer online tools. Excellent analytical and communication skills (English medium schooling) Experience: 1-3 years (Post CA Qualification) Compensation:Our company will offer a fixedmonthly professional fee (not a salary)

You are an experienced Azure Bot & AI Services Specialist with 2-4 years of experience, looking to join a team in Trivandrum. Your role will involve implementing and managing Microsoft Bot Framework, Azure Bot Service, Azure OpenAI Service, and Azure Cognitive Services (CLU, Custom QNA, Document Intelligence). You will work on innovative AI-driven solutions and chatbots, ensuring seamless integration and optimization across business applications. Your key responsibilities will include developing and deploying bots using Microsoft Bot Framework and Azure Bot Service, integrating Azure OpenAI Service and Azure Cognitive Services to enhance bot functionality, designing and implementing AI-powered solutions using Azure AI Search, and working closely with cross-functional teams to integrate AI-driven services into business systems. You will also be responsible for troubleshooting, optimizing, and maintaining bots and AI services to ensure smooth and effective operation. To excel in this role, you should have strong hands-on experience with Microsoft Bot Framework, Azure Bot Service, and Azure OpenAI Service. Expertise in Azure Cognitive Services including CLU, Custom QNA, and Document Intelligence is essential. Experience with Azure AI Search and related technologies, a good understanding of cloud-based architecture and services, as well as strong problem-solving, analytical, and troubleshooting skills are required. Experience in GenAI projects or similar AI initiatives would be a plus. If you are passionate about digital transformation and have a future-proof philosophy, this role at UST, a global digital transformation solutions provider, might be the perfect fit for you. Join a team that partners with clients from design to operation, embedding innovation and agility into organizations to make a boundless impact. With over 30,000 employees in 30 countries, UST is dedicated to touching billions of lives through technology and purpose-driven work. ,

As an Azure Bot & AI Services Specialist, you will be responsible for implementing and managing Microsoft Bot Framework, Azure Bot Service, Azure OpenAI Service, and Azure Cognitive Services (CLU, Custom QNA, Document Intelligence). Your role will involve developing and deploying bots, integrating AI services to enhance bot functionality, and designing AI-powered solutions using Azure AI Search. Collaboration with cross-functional teams to integrate AI-driven services into business systems and ensuring the smooth operation of bots and AI services will be crucial. Key Responsibilities - Develop and deploy bots using Microsoft Bot Framework and Azure Bot Service. - Integrate Azure OpenAI Service and Azure Cognitive Services (CLU, Custom QNA, Document Intelligence) to enhance bot functionality. - Design and implement AI-powered solutions using Azure AI Search and related technologies. - Collaborate with cross-functional teams to integrate AI-driven services into business systems. - Troubleshoot, optimize, and maintain bots and AI services to ensure smooth and effective operation. Required Skills & Experience - Strong hands-on experience with Microsoft Bot Framework, Azure Bot Service, and Azure OpenAI Service. - Expertise in Azure Cognitive Services including CLU, Custom QNA, and Document Intelligence. - Experience with Azure AI Search and related technologies. - Good understanding of cloud-based architecture and services. - Strong problem-solving, analytical, and troubleshooting skills. Good To Have - Experience in GenAI projects or similar AI initiatives. Experience: 2 - 4 years of experience Location: Trivandrum Skills: Microsoft Bot Framework, ASP.NET Core, Azure OpenAI, Cognitive Services,

Design and fine-tune AI apps using GPT, BERT, Azure OpenAI, and Cognitive Services. Build chatbots with Copilot Studio, RAG pipelines, vector DBs, Graph API, and M365 Plugins. Code in Python/Node.js with REST API integration. Required Candidate profile 5+ years of experience in AI/ML or Conversational AI Strong grip on prompt engineering and model fine-tuning Deep understanding of Microsoft’s AI ecosystem

We are currently seeking a talented Python Developer with a strong foundation in software development and a keen interest in artificial intelligence and machine learning. While AI/ML knowledge is not mandatory, it is considered an asset for this role. As a Python Developer at EXL you will have the opportunity to work on diverse projects and collaborate with cross-functional teams to deliver high-quality solutions. Responsibilities: Develop and maintain scalable and robust Python applications and services. Collaborate with software engineers, data scientists, and other stakeholders to integrate AI/ML components into software solutions. Assist in implementing AI/ML algorithms and models using Python-based libraries and frameworks. Participate in code reviews, testing, and debugging activities to ensure the quality and reliability of software products. Stay updated on emerging technologies and trends in AI/ML to contribute insights and ideas for enhancing our products and services. Work closely with data engineers to access, preprocess, and analyze data for AI/ML model development. Document code, processes, and best practices to facilitate knowledge sharing and collaboration within the team. Provide support and assistance to other team members as needed. Qualifications: Bachelor's or master's degree in computer science, Engineering, or related field. Strong proficiency in Python programming language. Familiarity with software development methodologies, tools, and best practices. Understanding of basic concepts in artificial intelligence and machine learning is good to have. Strong proficiency in python programming for ML development Hand on experience working with ML frameworks (Tensor, Scikit, etc.) Knowledge of Azure cloud and especially working with Azure ML studio and cognitive services. Knowledge on working with SQL, NO SQL Databases and REST APIs Knowledge on Azure OpenAI is good have and preferred. Dataset preparation and cleansing for model creation. Working knowledge of different types of data (structured, semi-structured, and unstructured) Expertise in python frameworks such as Fast API, Flask and Django. Working with huge data sets and data analysis with Pandas and NumPy Working with Python ORM Libraries Ability to handle large datasets. Ability to work independently and collaboratively in a fast-paced environment. Excellent problem-solving skills and attention to detail. Effective communication and interpersonal skills. While prior experience or knowledge in AI/ML is preferred, we welcome candidates who are passionate about learning and growing in this field. If you are a talented Python Developer looking to expand your skills and contribute to exciting projects, we encourage you to apply and join our dynamic team at EXL.

You are currently on the lookout for a GenAI developer with strong hands-on experience in Python and a solid background in Generative AI, specifically in building and integrating chatbots with various applications. As an AI Developer in the Data Fabric and Advanced Analytics department, you will report to the AI director and be responsible for designing, building, and deploying AI-powered conversational agents using Microsoft Azure AI services. Leveraging natural language processing (NLP), large language models (LLMs), and cloud-based AI tools, you will create chatbots to enhance user experience and automate interactions. Your key responsibilities will include designing and developing AI-powered chatbots using Azure OpenAI, Azure Bot Service, and Cognitive Services. You will implement natural language understanding (NLU) and natural language generation (NLG) for intelligent conversation handling, fine-tune GPT-based models, and integrate them with business applications. Additionally, you will optimize chatbot performance, deploy and manage chatbots using Azure Machine Learning, Azure Functions, and Kubernetes, and integrate chatbots with databases, APIs, and enterprise applications such as Dynamics 365, Microsoft Teams, or custom apps. Ensuring chatbot security, compliance, and scalability in Azure cloud environments and monitoring chatbot analytics using Azure Monitor, Application Insights, and Power BI will also be part of your responsibilities. To be successful in this role, you should have a degree in Computer Science, AI, Data Science, or a related field, along with previous experience in AI/ML projects, internships, or industry roles. A strong portfolio of AI projects and experience in AI-powered chatbot development, cloud computing, and NLP are essential. Your skills and competencies should include experience with Azure OpenAI Service (GPT-4, GPT-3.5), Language Understanding (LUIS), and Conversational AI in AI & NLP, proficiency in Python, C#, and JavaScript for chatbot development in Programming, strong knowledge of Azure AI services, Azure Bot Framework, Cognitive Services, and Azure DevOps in Cloud Computing, experience in integrating chatbots with APIs, databases (Cosmos DB, SQL), and third-party applications in Integration Skills, understanding of fine-tuning LLMs, prompt engineering, and vector search (Azure AI Search) in Machine Learning, experience with Azure Active Directory (AAD), role-based access control (RBAC), and data privacy best practices in Security & Compliance, and experience with CI/CD pipelines, containerization (Docker, Kubernetes), and MLOps in Agile & DevOps.,

As a CoPilot Architect, you will be responsible for leading the design and delivery of enterprise-grade conversational AI solutions utilizing Microsoft CoPilot Studio, Azure AI, and the Power Platform. Your role will involve leveraging Microsoft's intelligent automation capabilities, data integration practices, and secure application lifecycle management to empower global organizations in redefining business performance through intelligent assistants, low-code platforms, and AI-driven experiences. Your main responsibilities will include: - Leading the solution architecture and implementation of intelligent assistants using Microsoft CoPilot Studio - Building conversational flows, adaptive cards, triggers, and skills using Power Virtual Agents and Power FX - Integrating CoPilot solutions with internal systems such as Dataverse, SharePoint Search, Azure AI Search, and third-party APIs - Configuring and managing Azure AI Foundry environments for orchestration and LLM integration - Enabling secure and scalable deployments across Microsoft Teams, Web, and Mobile interfaces - Working closely with business and product stakeholders to translate use cases into automation pipelines - Ensuring governance, data privacy, and compliance requirements are met throughout the project lifecycle - Establishing robust ALM processes, including version control, testing, and deployment - Supporting enterprise workflow automation initiatives using Power Automate and Power Apps - Mentoring cross-functional teams in applying conversational AI best practices Required Skills & Experience: - Proven experience with Microsoft CoPilot Studio or Power Virtual Agents (advanced level) - Strong development experience with Power FX, Power Automate, and PowerApps - Expertise in Dataverse, SharePoint Online, and enterprise search integration - Solid understanding of Azure AI Foundry, Cognitive Services, and AI Search - Experience designing bots with adaptive logic, custom skills, and multichannel support - Proficiency in deploying secure, governed solutions within Microsoft cloud environments - Familiarity with conversational AI patterns, fallback logic, and dynamic content rendering - Hands-on experience with solution lifecycle management (ALM), CI/CD, and environment governance Preferred Qualifications: - Exposure to OpenAI integrations in the Microsoft cloud stack - Understanding of CoPilot extensibility (custom APIs, plug-ins, skill composition) - Relevant Microsoft certifications such as: PL-600: Power Platform Solution Architect, PL-400: Developer, AI-102: Azure AI Engineer What You'll Gain: - Opportunity to architect next-generation AI solutions for global enterprises - Collaborative environment working with certified Microsoft technology experts - Exposure to cutting-edge use cases in automation, AI, and digital transformation - A culture focused on learning, precision, and innovation at scale If you are passionate about building scalable AI architectures that drive impact and possess the required skills and experience, we look forward to meeting you. Our compensation offering will be commensurate with your skills and experience, and not a negotiation on your current CTC.,

Job Title: Azure Architect An Azure Architect is responsible for designing, implementing, and managing cloud solutions using Microsoft Azure. Requirements: Hands-on Cloud architect experience in software development projects or programs • Languages and runtimes: Typescript, Javascript • IaC: Terraform • CI/CD knowledge • Azure (DevOps, CLI, Monitor, Log Analytics, App Insights, Container Apps, Functions, API Management, Network, MS Entra ID) • Database mgmt: SQL, Cosmos DB • Docker • Excellent organizing and communication skills • Atlassian tools: Jira, Conflu • Agile development practices

You are currently on the lookout for a GenAI developer with strong hands-on experience in Python and a solid background in Generative AI, specifically in building and integrating chatbots with various applications. The ideal candidate should be skilled at constructing and customizing pipelines within Azure, possessing excellent knowledge of Azure configurations and Azure Bot Logic Services. As an AI Developer in the Data Fabric and Advanced Analytics department, you will report to the AI director. Your primary responsibility will involve designing, building, and deploying AI-powered conversational agents using Microsoft Azure AI services. You will utilize natural language processing (NLP), large language models (LLMs), and cloud-based AI tools to create chatbots that enhance user experience and automate interactions. Your key responsibilities will include designing and developing AI-powered chatbots using Azure OpenAI, Azure Bot Service, and Cognitive Services. You will implement natural language understanding (NLU) and natural language generation (NLG) for intelligent conversation handling. Fine-tuning GPT-based models and integrating them with business applications will also be part of your tasks. Additionally, you will optimize chatbot performance by training models, improving responses, and handling edge cases. Deploying and managing chatbots using Azure Machine Learning, Azure Functions, and Kubernetes, as well as integrating chatbots with databases, APIs, and enterprise applications, are vital aspects of the role. You will ensure chatbot security, compliance, and scalability in Azure cloud environments, and monitor chatbot analytics using Azure Monitor, Application Insights, and Power BI. For this position, you should have a degree in Computer Science, AI, Data Science, or a related field, along with previous experience in AI/ML projects, internships, or industry roles. A strong portfolio of AI projects and experience in AI-powered chatbot development, cloud computing, and NLP are essential. Your skills and competencies should include experience with Azure OpenAI Service (GPT-4, GPT-3.5), Language Understanding (LUIS), and Conversational AI in AI & NLP. Proficiency in Python, C#, and JavaScript for chatbot development in Programming, strong knowledge of Azure AI services, Azure Bot Framework, Cognitive Services, and Azure DevOps in Cloud Computing, experience in integrating chatbots with APIs, databases (Cosmos DB, SQL), and third-party applications in Integration Skills, understanding of fine-tuning LLMs, prompt engineering, and vector search (Azure AI Search) in Machine Learning, experience with Azure Active Directory (AAD), role-based access control (RBAC), and data privacy best practices in Security & Compliance, and experience with CI/CD pipelines, containerization (Docker, Kubernetes), and MLOps in Agile & DevOps.,

Key Responsibilities: Provide expert-level support for Azure Machine Learning, OpenAI, Cognitive Services, Synapse, and Data Factory . Troubleshoot real-time data integration pipelines, model deployments, inference performance, and security configurations. Guide customers in implementing Responsible AI , security governance, and model versioning best practices. Collaborate with engineering teams to resolve service issues and release platform updates. Proactively identify patterns in customer challenges and build reusable diagnostics or automations. Work with cross-functional teams (Product, Engineering, Customer Success) to improve support processes and tooling. Skillset: Strong foundation in Azure ML , OpenAI API , and Cognitive Services (Text, Vision, Language) . Experience with Synapse Analytics , Azure Data Factory , and Azure Databricks . Data engineering proficiency: SQL, PySpark, Power BI , data ingestion & transformation. Hands-on with Cosmos DB , Azure Storage Gen2, and secure data lake architecture. Machine learning pipeline troubleshooting and model monitoring techniques. Knowledge of Python, TensorFlow, PyTorch , and security practices in AI deployment. Proven experience with cloud deployment and development tools (i.e. PowerShell, CLI, REST API, Visual Studio, .NET, SDK, JSON, ARM/Bicep templates). Mandatory Skills: : MS Azure MLOPs Experience: 3-5 Years

You are an experienced Power Apps & Power Platform Technical Architect with over 8 years of experience in designing, developing, and implementing solutions using Microsoft Power Platform, including Power Apps, Power Automate, Power BI, and Power Virtual Agents. Your expertise includes integrating Microsoft Copilot into Power Platform solutions to enhance automation and AI-driven functionalities. As a Technical Architect, you are responsible for architecting, designing, and implementing scalable and high-performance solutions using Microsoft Power Platform. Your key responsibilities include developing and deploying various components of Power Platform such as Power Apps (Canvas and Model-Driven Apps), Power Automate workflows, Power BI dashboards, and Power Virtual Agents. You will leverage Microsoft Copilot to enhance automation, data insights, and AI-driven decision-making. Collaboration with stakeholders to understand business requirements and translate them into technical solutions is essential. Additionally, you will design and integrate Power Platform solutions with Microsoft 365, Dynamics 365, Azure Services, and other third-party applications. Establishing governance, best practices, and security for Power Platform implementations is part of your role. Providing guidance on low-code/no-code development strategies, conducting code reviews, troubleshooting technical issues, and optimizing existing solutions are also included in your responsibilities. Furthermore, you will lead and mentor development teams in Power Platform projects and stay updated with the latest advancements in Power Platform, AI capabilities, and Copilot features. Required qualifications for this role include a Bachelors or Masters degree in Computer Science, Information Technology, or a related field, along with at least 5 years of experience in Microsoft Power Platform development and architecture. You should have strong expertise in Power Apps (Canvas & Model-Driven Apps), Power Automate, Power BI, and Power Virtual Agents. Hands-on experience with Microsoft Copilot and AI-based automation in Power Platform is a must. Proficiency in Dataverse, SQL, SharePoint, Azure Logic Apps, and API integrations is essential. Knowledge of Power Fx, JavaScript, TypeScript, C#, and REST APIs, as well as experience with ALM for Power Platform and familiarity with Azure services, are required. A strong understanding of security, compliance, and governance in Power Platform along with excellent problem-solving, communication, and stakeholder management skills are also necessary. Preferred qualifications include the Microsoft Power Platform Solution Architect Expert certification, experience in AI Builder, RPA (Robotic Process Automation), and Copilot Studio, knowledge of Agile methodologies and DevOps for Power Platform, and previous experience in enterprise-scale digital transformation projects.,

Hi All, We are looking for "Gen AI Engineer" for MNC Company, Experience- 4-12 Years Location- Pan India (Hybrid Mode) Notice Period- Immediate Joiner Mandatory Skills:- Gen AI Azure Cognitive Services Python JD - GenAI Engineer/Developer Role Overview: We are seeking a skilled OpenAI Developer to join our dynamic team. The ideal candidate will have a robust understanding of AI and machine learning, with particular expertise in integrating OpenAI models with Microsoft's Power Platform (including Power Automate and Power Virtual Agents), Azure Cognitive Services, and agentic AI frameworks. This role also requires experience in Azure deployment of AI solutions and modern Autogen-based architectures for building intelligent multi-agent systems. Key Responsibilities: Design, develop, and optimize OpenAI-powered applications, including multi-agent frameworks, chatbots, and AI-based customer support systems. Leverage agentic technologies (e.g., Autogen framework) to implement AI agents capable of collaborating and completing complex tasks autonomously. Build and maintain backend services using Python or .NET to support OpenAI integrations. Work with custom datasets, applying techniques such as chunking, embedding, and vector search for model fine-tuning and retrieval-augmented generation (RAG). Integrate Azure Cognitive Services (e.g., Text Analytics, Translator, Form Recognizer) to enhance functionality and intelligence of AI solutions. Ensure scalable and secure deployment of AI solutions on Azure, using services like Azure Functions, Azure App Service, and Azure Kubernetes Service (AKS). Regularly evaluate and fine-tune GPT models to ensure high performance and relevance. Collaborate with cross-functional teams, including product, design, and QA, to ensure seamless development and deployment pipelines. Stay up to date with advancements in OpenAI, Azure AI, and agent-based technologies, and proactively contribute innovative ideas. Required Skills and Experience: Bachelor's degree in Computer Science, Engineering, or related field. Proficient in Python or .NET for backend and AI integration development. Strong experience with OpenAI GPT models and their practical applications. Experience with agentic technologies (e.g., Autogen, LangGraph, CrewAI) for multi-agent systems. Familiarity with Microsoft Azure Cognitive Services and Azure AI Studio. Solid grasp of machine learning fundamentals, including training, fine-tuning, and evaluating language models. Practical knowledge of Natural Language Processing (NLP) techniques. Hands-on experience with CI/CD tools such as Google Cloud Build, Jenkins, GitHub Actions, or Azure DevOps. Ability to work collaboratively in an agile, team-oriented environment under tight deadlines. Excellent problem-solving, debugging, and analytical skills. Desirable Skills: Masters degree or higher in AI, ML, or a related technical field. Prior experience in chatbot development for customer service or enterprise use cases. Certification(s) in Microsoft Azure, OpenAI, or machine learning technologies. Experience deploying and managing OpenAI solutions in Azure environments. Familiarity with RAG architectures, Azure AI Search, and blob storage indexing. Knowledge of Copilot Studio, Power Platform AI builder, or Conversational AI tools. if anyone interested for this position please share your resume on this Mail Id:- priya.singhal@thehrsolutions.in

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 : 8+ years in software engineering, including 3+ years in AI/ML and bot development. Experience delivering enterprise-grade chatbot/AI platforms integrated with backend services. Strong system design and architecture skills, especially for distributed and event-driven systems. Excellent communication, leadership, and stakeholder management abilities. Python, LLMs ( Azure OpenAI, Anthropic), PyTorch, Hugging Face Prompt Engineering, Vector Search, Retrieval-Augmented Generation Microsoft Bot Framework/LangChain / Rasa OAuth2, Middleware, Webhooks, Channel Integrations (Teams, WhatsApp, Web, IVR) Node.js, Java Spring Boot, .NET Core Azure/AWS, Docker, Kubernetes

We are currently seeking a talented Python Developer with a strong foundation in software development and a keen interest in artificial intelligence and machine learning. While AI/ML knowledge is not mandatory, it is considered an asset for this role. As a Python Developer at EXL you will have the opportunity to work on diverse projects and collaborate with cross-functional teams to deliver high-quality solutions. Responsibilities: Develop and maintain scalable and robust Python applications and services. Collaborate with software engineers, data scientists, and other stakeholders to integrate AI/ML components into software solutions. Assist in implementing AI/ML algorithms and models using Python-based libraries and frameworks. Participate in code reviews, testing, and debugging activities to ensure the quality and reliability of software products. Stay updated on emerging technologies and trends in AI/ML to contribute insights and ideas for enhancing our products and services. Work closely with data engineers to access, preprocess, and analyze data for AI/ML model development. Document code, processes, and best practices to facilitate knowledge sharing and collaboration within the team. Provide support and assistance to other team members as needed. Qualifications: Bachelor's or master's degree in computer science, Engineering, or related field. Strong proficiency in Python programming language. Familiarity with software development methodologies, tools, and best practices. Understanding of basic concepts in artificial intelligence and machine learning is good to have. Strong proficiency in python programming for ML development Hand on experience working with ML frameworks (Tensor, Scikit, etc.) Knowledge of Azure cloud and especially working with Azure ML studio and cognitive services. Knowledge on working with SQL, NO SQL Databases and REST APIs Knowledge on Azure OpenAI is good have and preferred. Dataset preparation and cleansing for model creation. Working knowledge of different types of data (structured, semi-structured, and unstructured) Expertise in python frameworks such as Fast API, Flask and Django. Working with huge data sets and data analysis with Pandas and NumPy Working with Python ORM Libraries Ability to handle large datasets. Ability to work independently and collaboratively in a fast-paced environment. Excellent problem-solving skills and attention to detail. Effective communication and interpersonal skills. While prior experience or knowledge in AI/ML is preferred, we welcome candidates who are passionate about learning and growing in this field. If you are a talented Python Developer looking to expand your skills and contribute to exciting projects, we encourage you to apply and join our dynamic team at EXL.

Job Title: Python AI/ML Engineer Location: Gurugram Experience: 5 to 8 years Job Summary: We are looking for a passionate and skilled Python AI/ML Engineer who brings strong expertise in building AI/ML solutions, productionizing models, and contributing to end-to-end ML pipelines. The ideal candidate should possess deep knowledge of traditional and deep learning concepts, hands-on programming capabilities, experience in enterprise-grade software engineering, and a good understanding of MLOps practices. Key Responsibilities: Design, develop, and deploy scalable machine learning models for classification, regression, NLP, and generative tasks. Build and optimize data transformation workflows using Python and Pandas. Lead AI/ML project pipelines from data ingestion to model deployment and monitoring. Implement model observability, monitoring for drift, and continuous model evaluation. Develop REST APIs and integrate ML models with production systems using frameworks like FastAPI. Participate in code reviews, write unit/integration tests, and ensure high code quality. Collaborate with cross-functional teams including Data Engineers, DevOps, and Product Managers. Stay current with the latest developments in AI, GenAI, ML frameworks, and tools. Use DevOps/MLOps tools to automate and manage model lifecycle processes. Required Skills: Programming & Python Ecosystem: Advanced proficiency in Python, including libraries such as Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch. Strong understanding of asynchronous programming, FastAPI, and concurrency (Starlette). Deep understanding of multithreading, multiprocessing, and the Python GIL. Ability to write clean, efficient, and testable code. Machine Learning & Deep Learning: Solid grasp of traditional ML concepts: classification, regression, overfitting/underfitting, regularization (L1/L2), multicollinearity. Experience with deep learning: RNNs, attention mechanisms, dropout, early stopping, loss functions (BCE, categorical cross entropy), diffusion models vs GANs. Familiarity with transfer learning and pre-trained model fine-tuning. MLOps: Understanding of ML pipeline design including model training, deployment, and monitoring. Experience in detecting and mitigating data drift and concept drift. Exposure to model observability, monitoring unstructured data drift, and automated drift alerts. Software Engineering & DevOps: Strong skills in REST API development, integration testing, and CI/CD practices. Experience with containerization tools like Docker. Familiarity with cloud-based ML deployment (AWS/Azure) and logging frameworks. Hands-On Problem Solving & Data Engineering: Ability to perform data transformation and aggregation using Python/Pandas. Experience handling dataframes, joins, ranking, filtering, mapping, and custom logic for preprocessing tasks. Nice-to-Have: Experience in GenAI and working with LLMs. Exposure to tools like MLflow, Kubeflow, Airflow, or similar MLOps platforms. Understanding of NLP, embeddings, and transformer-based models. Prior contributions to open-source ML tools or GitHub repositories.

Generative AI Engineer Overview We are seeking a visionary GenAI Engineer to lead the design and development of next-generation AI applications using advanced AI services. The ideal candidate will bring deep expertise in GenAI technologies, including Retrieval-Augmented Generation (RAG), intelligent agents, and model fine-tuning, coupled with hands-on experience using tools like LangChain, Model Context Protocol, and Azures full AI stack. Task and Responsibilities: Implement end-to-end Generative AI solutions on the Azure Cloud Platform, leveraging services such as: Azure OpenAI Service, Azure AI Search, Azure Cognitive Services, Azure AI Foundry, Azure Machine Learning etc. Creating data pipelines to ingest, process, and prepare data for analysis and modeling using Azure services, such as Azure AI Document Intelligence , Azure Databricks etc. Design and deploy RAG pipelines, incorporating structured and unstructured data to enhance LLM-based applications. Develop and orchestrate AI Agents and Autonomous Agents for real-time decision-making, task and automation. Fine-tune and optimize Small Language Models ( SLMs ) for domain-specific applications with a focus on performance, cost, and inference latency. Integrate LLMs/SLMs into applications using frameworks such as LangChain , Model Context Protocol ( MCP ), etc. Collaborate with data scientists, ML engineers, and product teams to align AI capabilities with business goals. Lead technical discussions and create architecture blueprints, best practices, and governance models for GenAI adoption across the enterprise. Monitor and optimize deployed solutions for scalability, latency, security, and compliance. Qualifications: Bachelor's or master's degree in computer science, Data Science, AI/ML, information technology, or a related field. Overall 8+ years’ combined experience in IT, 5+ years of experience in AI/ML solution engineering with at least 2+ years focused on Generative AI. Strong experience with LLMs and SLMs, including integration of open source models, prompt engineering, evaluation, and fine-tuning techniques. Proven track record using LangChain, Semantic Kernel, RAG, AI Agents, and MCP (Model Context Protocol) in production environments. Solid understanding and Hands-on experience with vector databases, embeddings, and Azure AI Search integration for semantic retrieval. Hands-on experience with tools like MLFlow, Azure Machine Learning, Azure OpenAI Service, Azure AI Search, Azure Cognitive Services, Azure AI Foundry, Azure Machine Learning etc. Familiarity with MLOps, CI/CD pipelines, and responsible AI practices. Experience deploying AI models on Azure Kubernetes Services (AKS) or Azure Container Apps. Understanding of security and compliance in AI deployments (e.g., data privacy, bias detection). Proficiency in programming languages like Python (essential). Excellent problem-solving, analytical, and critical thinking skills. Strong communication and collaboration skills to work effectively in a team environment. A passion for innovation and a desire to push the boundaries of what's possible with Gen AI. Relevant industry certifications, such as Microsoft Certified: Azure AI Engineer, Azure Solution Architect etc. is a plus.

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 Strong proficiency in Python and frameworks like TensorFlow or PyTorch. 2+ years of experience in GenAI and LLMs Experience with VectorDB, documentation ingestion workflows etc.

Role & responsibilities Design and build advanced applications using Canvas Apps , Model-Driven Apps , and Power Pages . Architect and implement robust business processes using Power Automate (cloud flows, instant flows, scheduled flows, desktop RPA) with advanced error handling, condition logic, and external system integrations. Write and optimize complex Power Fx formulas for dynamic behavior, conditional logic, calculations, and UI interactivity within Canvas Apps. Develop custom PowerApps Component Framework (PCF) components using TypeScript, JavaScript, and HTML/CSS . Integrate Power Platform solutions with Dataverse , SQL Server , SharePoint , and other external systems via REST APIs and custom connectors. Implement CI/CD pipelines and solution ALM using Azure DevOps . Leverage Azure Functions , Logic Apps , and API Management for scalable backend integration. Follow best practices in governance, security roles, solution management, and lifecycle management. Collaborate with business analysts, stakeholders, and other technical teams to translate business requirements into scalable solutions. Provide technical documentation, support, and training to internal users and client teams. Preferred candidate profile 5+ years of hands-on experience with Microsoft Power Platform , especially in building complex, enterprise-grade apps and flows. Expert-level experience with Power Automate , including: Complex multi-step workflows Dynamic approvals and role-based logic Integration with legacy systems and third-party APIs Desktop automation using Power Automate Desktop (RPA) Deep understanding of and fluency in Power Fx for Canvas Apps.

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.

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