125 Azure Ai Jobs - Page 2

As a Product Manager AI at Asite, you will play a crucial role in leading the development and integration of AI/ML-powered capabilities into our B2B SaaS platform. Your responsibility will be to transform intricate AI technologies into practical solutions that deliver significant business impact for our enterprise customers. This position requires a combination of strategic product thinking and technical expertise, making it ideal for individuals enthusiastic about enhancing automation, decision-making, personalization, and user workflows through AI features. Successful candidates for this role are expected to be dynamic individuals with strong analytical and technical skills, capable of working within an agile methodology to maximize value for our customers. Attention to detail is a key trait we seek in all members of the Asite team. This opportunity is perfect for professionals with at least 4+ years of experience in SaaS solutions, looking to advance their careers in a growth-focused company. **Responsibilities:** - Own the roadmap and delivery for Cognitive CDE and modern AI solutions, utilizing AI/ML-driven features such as predictive analytics, natural language interfaces, intelligent automation, or anomaly detection. - Collaborate closely with Product Managers, Business Analysts, Engineering, and UX teams to define requirements, MVPs, and success metrics. - Translate AI capabilities into user-centric use cases, ensuring they align with customer pain points and business objectives. - Keep abreast of developments in AI/ML, identifying opportunities to apply new models, LLMs, or approaches to our platform. - Collaborate with GTM teams to develop positioning and messaging for AI-powered features. - Monitor AI/ML performance post-release, making iterations based on usage data, model feedback, and market trends. - Ensure the quality of releases through testing, validation, and acceptance of the work done. - Actively participate in the continuous improvement of processes. **Desired Skills & Experience:** - 4+ years of product management experience, with a focus on AI/ML products in a SaaS environment. - Sound understanding of machine learning concepts, model lifecycles, and data pipelines. - Experience in launching production-grade AI features in collaboration with technical teams. - Ability to translate complex technology into clear product requirements and customer value. - Strong collaboration and communication skills across technical and non-technical stakeholders. - Familiarity with Azure AI and Google Cloud tools like Vertex AI, AWS SageMaker, LangChain, and/or OpenAI APIs. - Exposure to enterprise verticals such as construction tech, finance, and logistics. - Knowledge of ethical AI principles, model governance, or explainability tools. - Technical proficiency with APIs, data schemas, and integrations. - Excellent teamwork skills combined with a can-do attitude. - Demonstrated ability to influence cross-functional teams, particularly development teams. At Asite, our vision is to connect people and help in building a better world. Our platform facilitates seamless information sharing across the entire supply chain for organizations working on large capital projects. Asite SCM and Asite PPM are our supply chain management and project portfolio management solutions respectively, enabling shared visibility of capital projects through one common data environment. The company is headquartered in London with regional offices in New York, Houston, Riyadh, Dubai, Sydney, Hong Kong, and Ahmedabad, India. If you are a mid-level professional with a background in Product Management within industries like Information Services, Information Technology, Management Consulting, Internet, or Computer Software, we encourage you to share your resume with us at: careers.india@asite.com This is a full-time position offering a rewarding opportunity for individuals looking to advance their career in the field of AI product management within a growth-focused company.,

Job Description ML Ops Engineer (2–3 Years Experience) Position Overview We are looking for a passionate and skilled ML Ops Engineer with 2–3 years of experience to join our AI initiatives and services team. The ideal candidate will not only be strong in operationalizing machine learning workflows but also have hands-on exposure or working knowledge in Large Language Models (LLMs), Computer Vision, Speech-to-Text, and Image Recognition to solve real-world problems. This role requires strong adaptability to multiple technologies, excellent communication skills, and a creative problem-solving mindset to bridge the gap between AI research and scalable business solutions. Key Responsibilities Design, build, and maintain end-to-end ML Ops pipelines for deploying and scaling ML/AI models. Automate workflows for model training, deployment, monitoring, and retraining. Ensure scalability, reliability, and performance of ML systems in production. Work with ML Engineers and Data Scientists to bring models from experimentation to production . Manage model versioning, governance, monitoring, and logging . Implement CI/CD for ML workloads with Docker/Kubernetes and cloud platforms (Azure, AWS, or GCP). Support integration of models into client-facing applications and services. Apply ML Ops practices to LLMs, Vision, Speech-to-Text, and Image Recognition use cases . Stay up to date with emerging AI tools and frameworks (LangChain, Hugging Face, OpenAI APIs, etc.) and apply them to real-world problem solving. Required Skills & Qualifications 2–3 years of professional experience in ML Ops / Data Engineering / AI Engineering . Strong programming skills in Python with experience in ML frameworks (TensorFlow, PyTorch, Scikit-learn). Hands-on experience with ML Ops tools (MLflow, Kubeflow, Airflow, DVC, or similar). Solid knowledge of CI/CD pipelines , Docker, Kubernetes, and cloud services (Azure ML, AWS Sagemaker, or GCP Vertex AI). Familiarity with LLMs, Vision, Speech-to-Text, and Image Recognition techniques — practical experience or strong conceptual knowledge. Understanding of prompt engineering, model fine-tuning, or transfer learning is a plus. Excellent problem-solving skills, creativity, and the ability to adapt quickly to new technologies. Strong communication and collaboration skills to work effectively with cross-functional teams and clients. Preferred Skills Exposure to LangChain, Hugging Face Transformers, or RAG-based systems . Experience working with APIs and microservices to serve AI models. Knowledge of monitoring tools for deployed AI models (Prometheus, Grafana, EvidentlyAI). Familiarity with handling unstructured data (text, audio, images, video). Education Bachelor’s or master’s degree in computer science , Data Science, AI/ML, or related field . What We Look For A strong ownership mindset with the ability to deliver end-to-end solutions. Passion for solving real-world business challenges using AI. Professionals who can communicate complex concepts clearly to both technical and non-technical audiences. A creative thinker who stays ahead of trends in AI/ML and ML Ops practices.

Role & responsibilities Mandatory skills :Gen AI expertise Desired skills : C#, .Net Domain: AI Understand various LLM and AI models, know RAG and MCP models and should have implemented AI solutions NOT just using generative AI for coding Experience with Azure AI Services and prompt engineering, particularly with GPT-4. Knowledge of custom training techniques for AI models is a plus. Preferred candidate profile

Role: AI Agent Developer - Microsoft Copilot & Agentic AI Job Type: Full Time Employment (FTE) Number of positions: 1 Experience: 5+ Years Location : India (Remote / Work from home) Shift Timing: 11 AM IST to 8 PM IST Must Have Skills : Deep expertise in Microsoft AI technologies including Copilot Studio, Microsoft 365 Agent SDK, Azure AI Services, Azure AI Foundry and Semantic Kernel, with the ability to translate these platforms into real-world solutions. Proven track record of designing and delivering Copilot Agents using pro-code, including the development of custom connectors, plugins, and extensions to extend Microsoft 365 Copilot functionality. Strong programming ability in Python, C#, or Java, with hands-on experience working with LLM frameworks such as LangChain, Hugging Face Transformers, and Semantic Kernel. Demonstrated expertise in multi-agent orchestration and building Retrieval-Augmented Generation (RAG) pipelines for enterprise-scale AI applications. Practical experience implementing responsible AI practices, including safety, compliance, and data governance considerations in enterprise deployments. Good to Have Skills & Certifications : Broader cloud engineering proficiency on Azure, including services such as Cognitive Services, Synapse, Databricks, Azure SQL, and monitoring with Azure Monitor or Application Insights. Copilot Tuning expertise: configuring, fine-tuning, and optimizing Copilot behavior to align with specific enterprise use cases. Experience integrating Copilot APIs with business systems, workflows, and line-of-business applications. Microsoft Certifications: Azure AI Engineer Associate, AI-900 (Fundamentals), Azure Data Scientist Associate. Familiarity with Microsoft 365 extensibility patterns across Teams, SharePoint, and Viva, including app development and lifecycle management. Knowledge of enterprise-grade data governance, identity management, and security best practices. Key Responsibilities: Design, architect, and deploy enterprise-ready Copilot Agents, leveraging Microsoft 365, Azure AI, and custom APIs to deliver measurable business value. Implement pro-code Copilot solutions such as connectors, plugins, and extensions that extend Microsoft 365 Copilot capabilities in secure and scalable ways. Lead Copilot Tuning efforts to refine and optimize Copilot responses, ensuring accuracy, compliance, and alignment with client goals. Integrate Copilot Agents into enterprise workflows using Copilot APIs, Semantic Kernel, and Azure AI Services to create seamless business solutions. Work closely with product managers, architects, and client stakeholders to identify use cases, design solution blueprints, and deliver high-impact outcomes. Continuously monitor, evaluate, and iterate on agent performance using agile practices and enterprise evaluation frameworks. Champion and enforce responsible AI standards, ensuring security, compliance, accessibility, and ethical use in every deployment. Mentor and coach junior developers on AI agent development, fostering a culture of innovation, learning, and best practices. Role Summary: The AI Agent Developer will be a cornerstone in accelerating Cyclotrons Copilot and Agentic AI initiatives for enterprise customers. This role requires a rare blend of deep technical mastery of Microsoft AI technologies, strong coding and solution design skills, and the ability to deliver enterprise-grade AI agent solutions that are scalable, secure, and business-aligned. The ideal candidate thrives at the intersection of innovation and practicalitybuilding intelligent Copilot-driven solutions that transform how businesses work today and prepare them for tomorrow. How to Apply: Send your latest resume/CV at jobsindia@cyclotron.com

Are you insatiably curious, deeply passionate about the realm of AI & applications, and ready to tackle complex challenges in a dynamic environment If so, we invite you to join our team as a Cloud & AI Solution Engineer in AI Applications for commercial customers at Microsoft. Here, you'll be at the forefront of innovation, working on cutting-edge projects that leverage the latest technologies to drive meaningful impact. Join us and be part of a team that thrives on collaboration, creativity, and continuous learning. Microsoft is transforming the developer experience for AI applications across the development lifecycle. With AI Foundry and seamless integration with Azure AI, we're leading the way in Agentic AI development where AI agents streamline development and operations. As an AI Apps Solution Engineer, you'll help customers adopt these innovations to boost productivity, drive innovation, and become AI-native. As an AI Applications Solution Engineer (SE), you will play a pivotal role in helping enterprise AI developers unlock the full potential of Microsoft's AI-powered stack across every stage of the development lifecycle. You'll collaborate closely with engineering leaders and platform teams to accelerate AI Foundry, Azure AI, and Responsible AI, through hands-on engagements like Proof of Concepts, hackathons, and architecture workshops. This opportunity will allow you to accelerate your career growth, develop deep business acumen, hone your technical skills, and become adept at solution design and deployment. You'll guide customers through secure, scalable solution design, influence technical decisions, and accelerate AI applications development into their deployment workflows. In summary, you'll help customers modernize their applications and realize the full value of Microsoft's AI platform, all while enjoying flexible work opportunities. As a trusted technical advisor, you'll guide customers through secure, scalable solution design, influence technical decisions, and accelerate AI applications and agents into their development workflows. In summary, you'll help customers modernize their applications leveraging AI and realize the full value of Microsoft's platform. Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Description and Requirements Job Descriptions: Build trusted relationships with Sales, C-level executives, and technical decision makers to ensure early engagement in customers AI strategy and solution discussions. Represent Lenovo Solutions & Services Group (SSG) during the sales cycle, including project scoping, solution architecting, proposal development, effort sizing and pricing, plus presentation - supporting NVIDIA-based AI stack, Generative AI, and AI infrastructure opportunities. Ensure that customer expectations around AI capabilities, timelines, and outcomes are realistically set and managed. Facilitate GenAI, LLM, and AI strategy discovery workshops to surface business use cases and technical readiness. Lead technical advisory and solutioning efforts in presales, including sizing of infrastructure and services based on NVIDIA's AI stack, with a warm handover to deliver upon deal closure. Strong capability in both AI solution architecture and presales services estimation (including training, tuning, deployment, and MLOps components). Serve as a technology thought leader and internal evangelist for AI adoption and customer success. Assist in building and leveraging an internal and external partner ecosystem, including NVIDIA, to craft end-to-end AI solutions spanning infrastructure, software, services, and MLOps pipelines. Maintain up-to-date knowledge of AI trends, including NVIDIA AI Enterprise stack, open-source tools, and cloud-native AI/ML platforms. Stay current through certification and enablement in relevant AI technologies (e.g., NVIDIA Certified, Azure/AWS/GCP AI services, MLOps frameworks). Contribute to the development of internal solution capabilities and customer-facing collateral when required. Responsibilities: Lead AI discovery sessions and technical/roadmap workshops with clients to understand pain points, use cases, and success criteria. Architect end-to-end AI solutions using NVIDIA's AI stack (e.g., Base Command, DGX, NeMo, Triton, TensorRT, NGC, RAPIDS, CUDA, AI Enterprise) and supporting technologies (e.g., Kubernetes, Kubeflow, MLFlow). Scope, size, and price AI services-including infrastructure sizing, LLM customization, fine-tuning, inference optimization, and MLOps pipelines. Create solution documentation such as technical write-ups, architecture diagrams, proposal content, and scope of work (SOW). Lead internal Solution Certification processes and ensure compliance with internal presales workflows. Support transition to delivery through a structured and warm handover process. Collaborate closely with offering, delivery, and marketing teams to refine offerings and support go-to-market activities. Act as AI advocate internally and externally, participating in thought leadership, enablement, and customer education sessions. Any other responsibilities allocated by management. Basic Qualifications: 10+ years of experience in enterprise IT, with at least 3-5 years in AI/ML architecture, data science solutioning, or AI platform engineering. Deep understanding of NVIDIA's full AI stack and ecosystem, including DGX platforms, AI Enterprise Suite, Base Command, NeMo, Triton Inference Server, and TensorRT. Strong experience in GenAI/LLM concepts, including prompt engineering, fine-tuning, vector databases, inference optimization, and ethical AI governance. Demonstrated experience designing AI pipelines on-premises and in cloud environments (e.g., Azure AI, AWS Sagemaker, GCP Vertex AI). Proven ability to translate business requirements into scalable technical architectures and present to both technical and business stakeholders. Strong experience in pricing and effort estimation of AI services, including hardware sizing and GPU-based workload planning. Hands-on experience with Python-based AI frameworks and orchestration tools (e.g., PyTorch, TensorFlow, Hugging Face, MLFlow, Kubernetes). Excellent communication, documentation, and interpersonal skills across culturally diverse teams. Ability to travel for customer workshops and events as required. Preferred Qualifications: NVIDIA Certified AI Specialist or similar AI certifications (Azure AI Engineer, AWS Machine Learning Specialty, etc.). Experience with open-source LLM platforms (e.g., Llama, Mistral, Falcon), vector DBs (e.g., FAISS, Weaviate), and retrieval-augmented generation (RAG). Familiarity with MLOps frameworks and responsible AI practices. Prior experience in AI consulting or AI pre-sales roles with demonstrable deal wins. Knowledge of AI trends and applications across industries (e.g., finance, healthcare, manufacturing). Fluency in English, with additional regional language proficiency in Asia Pacific as an advantage. Strong self-learning aptitude with a proactive and customer-first mindset.

Role & responsibilities Job Title: Python Developer Azure AI & GenAI Location: Hyderabad Experience: 4–6 Years Job Description We are seeking a skilled Python Developer with strong experience in Azure AI services and Generative AI (GenAI) solutions. The ideal candidate should have hands-on expertise in building AI-powered applications leveraging Azure cloud services, document intelligence, and modern frameworks like LangChain. Key Responsibilities Design, develop, and deploy applications using Python and Azure Functions . Work with Azure Document Intelligence , Azure Cognitive Search/AI Search , and Azure AI services to deliver intelligent solutions. Build and optimize GenAI applications, integrating RAG (Retrieval Augmented Generation) pipelines. Implement conversational and cognitive AI solutions using LangChain and other AI frameworks. Collaborate with cross-functional teams to design scalable and secure AI-driven applications. Troubleshoot, optimize, and maintain existing AI/ML solutions on Azure. Required Skills 4–6 years of experience in Python development . Strong knowledge of Azure AI services (Azure Document Intelligence, Azure AI Search, Azure Functions). Hands-on experience with Generative AI (GenAI) and RAG-based solutions . Experience with LangChain for AI application development. Good understanding of cloud deployment and integration patterns. Strong problem-solving and communication skills. Good to Have Experience with vector databases (Pinecone, Weaviate, FAISS, etc.). Familiarity with MLOps and model deployment in Azure. Knowledge of Large Language Models (LLMs) and prompt engineering.

Experience in data engineering, AI solution development, and ML model deployment. Strong skills in Python, ML frameworks (e.g., Scikit-learn, PyTorch, TensorFlow). Experience with Azure AI services, Azure OpenAI, Azure AI Foundry plus Copilot Studio

Job Description: Senior ProCode Agentic Developer (Azure/Open Source AI) Role Overview: Deliver, integrate, and support AI-driven agents and virtual assistants using Azure AI Foundry and open-source frameworks. This is a hands-on coding and delivery position, not an architecture or strategy role. Key Responsibilities: Develop, deploy, and optimize agentic solutions with Azure AI Foundry and open-source LLM tools (e.g., Semantic Kernel, AutoGen etc). Integrate with enterprise data stores, knowledge bases (Azure Cognitive Search), and business processes. Manage SDLC for agentic features: requirements, implementation, testing, deployment, and support. Collaborate with the LoCode team, ensuring security and cross-team integration. Contribute to technical documentation and internal knowledge sharing. Relevant Experience Required: 3+ years in software engineering (AI/ML/agentic solution focus). Hands-on experience in programming languages such as Python and/or C#, Azure AI services, and use of open-source LLM frameworks. Experience integrating secure, enterprise-grade solutions. Familiarity with vector databases, semantic search, and real-world data integrations.

........... . Job Position - Solution Architect (AI & Product Engineering) Experience Required - 7-10 years Job Type - Full time Location - Hyderabad, India Overview We are seeking a visionary leader with extensive experience in AI-based product innovation and development to drive the integration of advanced AI, Generative AI, and Multimodal AI systems into innovative solutions. This role requires a deep understanding of AI ecosystems to build strategic partnerships and onboard top talent while also possessing expertise in patent filing to protect intellectual property. Role and Responsibilities AI AI/ML Solution Architecture & Design Design comprehensive AI solution architectures that are scalable, maintainable, and aligned with business objectives Create detailed architectural diagrams, technical specifications, and solution blueprints Evaluate and recommend AI frameworks, models, and tools (e.g., TensorFlow, PyTorch, LangChain (AutoML). Define data strategies for AI model training, including data pipelines, storage, governance, and feature engineering . Optimize data processing workflows for real-time and batch AI applications. Cloud & Infrastructure Architect and deploy AI solutions on GCP, AWS, Azure, or OCI, optimizing for cost, performance, and scalability. Implement containerized AI workloads (Docker, Kubernetes) and serverless AI solutions. Design high-availability, fault-tolerant, and secure AI infrastructure. Data Architecture & Management Design and implement data architectures that support effective AI model deployment Define data pipelines, storage strategies, and data governance frameworks Establish data lineage and metadata management practices while integrating big data technologies (Spark, Databricks, Snowflake) for AI-driven analytics. MLOps & DevOps Build end-to-end MLOps pipelines (MLflow, Kubeflow, SageMaker, Vertex AI) for model lifecycle management. Implement CI/CD for AI models, including automated testing, versioning, and rollback. Design monitoring, logging, and alerting for AI models in production. Technical Leadership Lead the development of end-to-end AI solutions from conception to deployment Collaborate with cross-functional teams, including data scientists, engineers, and product managers Provide technical guidance and mentorship to development teams Conduct architectural reviews and ensure adherence to design principles Performance & Optimization Monitor and optimize AI system performance, latency, and resource utilization Implement cost optimization strategies for AI infrastructure and operations Conduct capacity planning and scaling strategies for AI workloads Troubleshoot and resolve complex AI system issues Innovation & Research Stay current with emerging AI technologies, frameworks, and industry trends Evaluate and pilot new AI tools and technologies for potential adoption Drive innovation initiatives and proof-of-concept development Participate in AI community events and knowledge sharing Stakeholder Engagement Present technical solutions and architectural designs to stakeholders and leadership Collaborate effectively with business teams, sales, and business development teams to support pre-sales activities, including presentations and demonstrations, to understand requirements and constraints. Facilitate technical discussions and decision-making processes Experience Requirement 7+ years of total professional experience in technology and solution architecture 2+ years of hands-on experience in AI/ML solution development and implementation 5+ years of experience working with cloud platforms (GCP, AWS, Azure, OCI) Technical Skills AI/ML Frameworks: TensorFlow, PyTorch, Hugging Face, LangChain, AutoML. Cloud AI Services: SageMaker, Vertex AI, Azure ML, Bedrock, LLM APIs. MLOps Tools: MLflow, Kubeflow, TFX, Docker, Kubernetes, CI/CD pipelines. Data Engineering: Spark, Databricks, BigQuery, Snowflake, Airflow. Programming: Python (advanced), Java/Scala, SQL, PySpark. Agentic AI: RPA tools (UiPath, Automation Anywhere), process mining. Hands-on experience with CI/CD pipelines and DevOps practices Preferred Qualifications Master's degree in Computer Science, Engineering, or related technical field Certifications in cloud platforms (GCP Professional Cloud Architect, AWS Solutions Architect, Azure Solutions Architect) Experience with real-time AI applications and streaming data processing Knowledge of AI ethics, bias detection, and responsible AI practices Experience with microservices architecture and API design Strong programming skills in Python, TensorFlow, PyTorch, scikit-learn, and other relevant AI development tools and frameworks. Soft skill Excellent communication and presentation skills Strong collaborative mindset with ability to work across diverse teams Leadership capabilities with experience mentoring technical team members Problem-solving skills with the ability to think strategically and analytically Adaptability to work in a fast-paced, evolving technology environment

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, we transform ideas into impact by bringing together data, science, technology and human ingenuity to deliver better outcomes for all. Here you'll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client-first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning, bold ideas, courage and passion to drive life-changing impact to ZS. We are looking for an experienced and dynamic Consultant/Team Lead to join our organization, with 6-9 years of hands-on experience in Microsoft Power Platform. The ideal candidate will possess a comprehensive understanding of PowerApps , Power Automate , Copilot , Copilot Studio , Canvas and Model-driven Apps , Power Pages , Power BI , custom connectors, pcf components, API integrations . This role requires strong technical and leadership skills, excellent client communication abilities, and proven experience in project management. As a Consultant/Team Lead, you will be responsible for leading a team of developers, managing client relationships, and overseeing the successful delivery of end-to-end Power Platform solutions. What you'll do: Lead and manage the development and implementation of Power Platform solutions, including Canvas Apps, Model-driven Apps, Power Automate flows, and Power BI reports. Design and develop complex PowerApps solutions using Dataverse, SharePoint,SQL/Postgres and other data sources with a focus on performance and scalability. Implement and leverage Microsoft Copilot, Azure AI and Copilot Studio for building advanced AI-powered applications. Oversee the development of Power Pages for portal-based solutions and ensure seamless integration with other Power Platform components. Provide guidance on API integrations and manage the integration of PowerApps with various external data sources. Ensure solutions meet business requirements, adhering to best practices and governance guidelines across Power Platform components. Lead project teams , developing project plans, allocating resources, and managing deliverables to meet project timelines and goals. Act as a key point of contact for clients, effectively communicating project status, managing expectations, and delivering high-quality solutions. Conduct quality assurance (QA) and oversee testing to ensure that deliverables meet client expectations for functionality and performance. Stay updated with the latest Power Platform advancements, including Power Automate Desktop , AI Builder , and Power BI enhancements, and share insights with the team. Actively contribute to process improvement initiatives and suggest innovative approaches for leveraging Power Platform tools. Mentor and train team members , fostering their growth in PowerApps, Power Automate, and other Power Platform technologies. What you'll bring: 6-9 years of hands-on experience in developing and managing Power Platform solutions, including PowerApps , Power Automate , Copilot , Azure AI, Power Pages , and Power BI . Strong expertise in Canvas and Model-driven Apps , with a solid understanding of Dataverse, data modeling, and integration with various external data sources. Proficiency in API understanding and integrating third-party services with PowerApps and Power Automate. In-depth understanding of at least 1 programming language- C#, Dot Net, Python. Strong project management experience, with the ability to lead teams, manage timelines, and deliver high-quality projects on time. Excellent client-facing communication skills, with the ability to understand client needs, present solutions, and manage expectations. Experience in mentoring and coaching teams , with a focus on developing technical skills and fostering collaboration. Understanding of Agile/Waterfall methodologies and experience managing projects within these frameworks. Desirable Skills: Microsoft PowerApps Certification (PL-100, PL-900, PL 600) or equivalent certifications. Familiarity with Copilot, Copilot Studio and leveraging AI-based solutions in Power Platform projects. Strong data transformation experience, particularly with SQL and Power Query. Perks & Benefits: ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Travel: Travel is a requirement at ZS for client facing ZSers business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures. Considering applying At ZS, we honor the visible and invisible elements of our identities, personal experiences, and belief systems-the ones that comprise us as individuals, shape who we are, and make us unique. We believe your personal interests, identities, and desire to learn are integral to your success here. We are committed to building a team that reflects a broad variety of backgrounds, perspectives, and experiences. about our inclusion and belonging efforts and the networks ZS supports to assist our ZSers in cultivating community spaces and obtaining the resources they need to thrive. If you're eager to grow, contribute, and bring your unique self to our work, we encourage you to apply. ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. To complete your application: Candidates must possess or be able to obtain work authorization for their intended country of employment.An on-line application, including a full set of transcripts (official or unofficial), is required to be considered. NO AGENCY CALLS, PLEASE. Find Out More At:

S&CGN - Tech Strategy & Advisory - Gen AI - Artificial Intelligence - Senior Manager The AI-Gen AI Strategy Senior Manager Join our team in Technology Strategy for an exciting career opportunity to enable our most strategic clients to realize exceptional business value from technology Practice: Technology Strategy & Advisory, Capability Network I Areas of Work: Data & AI Strategy I Level: Senior Manager | Location: Bangalore/Gurgaon/Mumbai/Pune/Chennai/Hyderabad/Kolkata | Years of Exp: 14 to 20 years Explore an Exciting Career at Accenture Do you believe in creating an impact? Are you a problem solver who enjoys working on transformative strategies for global clients? Are you passionate about being part of an inclusive, diverse and collaborative culture? Then, this is the right place for you! Welcome to a host of exciting global opportunities in Accenture Technology Strategy & Advisory. The Practice- A Brief Sketch: The Technology Strategy & Advisory Practice is a part of and focuses on the clients most strategic priorities. We help clients achieve growth and efficiency through innovative R&D transformation, aimed at redefining business models using agile methodologies. As part of this high performing team, you will work on the scaling AIand the data that fuels it allto power every single person and every single process. You will part of our global team of experts who work on the right scalable solutions and services that help clients achieve your business objectives faster. Business Transformation: Assessment of AI potential and development of use cases that can transform business Proof of Concepts :Help design POCs and high-level solutions using AI or Gen AI analytics solutions to derive insights from data. Formulation of Guiding Principles and Components: Assessing impact to clients technology landscape/ architecture and ensuring formulation of relevant guiding principles and platform components. Product and Frameworks :Evaluate existing AI & Gen AI products and frameworks available and develop options for proposed solutions. Bring your best skills forward to excel in the role: Leverage your knowledge of technology trends across Data and AI and how they can be applied to address real world problems and opportunities. Interact with client stakeholders to understand their AI problems, priority use-cases, define a problem statement, understand the scope of the engagement, and also drive projects to deliver value to the client Design & guide development of Enterprise wide AI & Gen AI strategy for our clients Through your expertise and experience, guide your team to suggest the right solutions to meet the needs of clients and help draw up practical implementation road maps that position them for long-term success Benchmark against global research benchmarks and leading industry peers to understand current & recommend AI & Gen AI solutions Conduct discovery workshops and design sessions to elicit AI & Gen AI opportunities & client pain areas. Utilize strong expertise & certification in any of the AI & Gen AI Cloud platforms Google, Azure or AWS, in areas such as Machine Learning, NLP, Generative AI etc. Collaborate with business experts for business understanding, working with other consultants and platform engineers for solutions and with technology teams for prototyping and client implementations. Have a deep understanding of the Responsible AI & Gen AI framework as well as tools to engage the client in meaningful discussions and steer towards the right recommendation Define an AI use case driven value realization framework and define business cases relevant to the client industry Create expert content and use advanced presentation, public speaking, content creation and communication skills for C-Level discussions. Demonstrate strong understanding of a specific industry , client or technology and function as an expert to advise senior leadership. Manage budgeting and forecasting activities and build financial proposals Qualification Your experience counts! MBA from a tier 1 institute 7-10 years of Strategy Consulting experience at a consulting firm 3+ years of experience writing business cases (quantitative and qualitative) to support strategic business initiatives or Data & AI transformation 4+ years of experience in designing and building end-to-end Enterprise AI and Gen AI Strategic Solutions using Cloud & Non-Cloud platforms like Google Vertex and Gemini, Azure AI, Open AI, Co-Pilot, Amazon Bedrock, IBM Watson, DataRobot etc. Excellent understanding of Traditional AI, Gen AI, Agentic AI and Advanced Cognitive methods to derive insights and actions Good working knowledge in formulation of relevant guiding principles and platform components with expertise in Responsible AI frameworks is highly preferred 3+ years of experience leading or managing large teams effectively including planning/structuring analytical work, facilitating team workshops, and developing Data & AI strategy recommendations as well as developing POCs Deep Understanding of data supply chain and building value realization framework for Data & AI transformations Mandatory knowledge of IT & Enterprise architecture concepts through practical experience and knowledge of technology trends e.g. Mobility, Cloud, Digital, Collaboration A strong understanding in any of the following industries is preferred:Financial Services, Retail, Consumer Goods, Telecommunications, Life Sciences, Transportation, Hospitality, Automotive/Industrial, Mining and Resources or equivalent domains Cloud AI Practitioner Certifications (Azure, AWS, Google) desirable but not essential

S&CGN - Tech Strategy & Advisory - Gen AI - Artificial Intelligence - Senior Manager Join our team in Technology Strategy for an exciting career opportunity to enable our most strategic clients to realize exceptional business value from technology Practice: Technology Strategy & Advisory, Capability Network I Areas of Work: Data & AI Strategy I Level: Senior Manager | Location: Bangalore/Gurgaon/Mumbai/Pune/Chennai/Hyderabad/Kolkata | Years of Exp: 14 to 20 years Explore an Exciting Career at Accenture Do you believe in creating an impact? Are you a problem solver who enjoys working on transformative strategies for global clients? Are you passionate about being part of an inclusive, diverse and collaborative culture? Then, this is the right place for you! Welcome to a host of exciting global opportunities in Accenture Technology Strategy & Advisory. The Practice- A Brief Sketch: The Technology Strategy & Advisory Practice is a part of and focuses on the clients most strategic priorities. We help clients achieve growth and efficiency through innovative R&D transformation, aimed at redefining business models using agile methodologies. As part of this high performing team, you will work on the scaling AIand the data that fuels it allto power every single person and every single process. You will part of our global team of experts who work on the right scalable solutions and services that help clients achieve your business objectives faster. Business Transformation: Assessment of AI potential and development of use cases that can transform business Proof of Concepts :Help design POCs and high-level solutions using AI or Gen AI analytics solutions to derive insights from data. Formulation of Guiding Principles and Components: Assessing impact to clients technology landscape/ architecture and ensuring formulation of relevant guiding principles and platform components. Product and Frameworks :Evaluate existing AI & Gen AI products and frameworks available and develop options for proposed solutions. Bring your best skills forward to excel in the role: Leverage your knowledge of technology trends across Data and AI and how they can be applied to address real world problems and opportunities. Interact with client stakeholders to understand their AI problems, priority use-cases, define a problem statement, understand the scope of the engagement, and also drive projects to deliver value to the client Design & guide development of Enterprise wide AI & Gen AI strategy for our clients Through your expertise and experience, guide your team to suggest the right solutions to meet the needs of clients and help draw up practical implementation road maps that position them for long-term success Benchmark against global research benchmarks and leading industry peers to understand current & recommend AI & Gen AI solutions Conduct discovery workshops and design sessions to elicit AI & Gen AI opportunities & client pain areas. Utilize strong expertise & certification in any of the AI & Gen AI Cloud platforms Google, Azure or AWS, in areas such as Machine Learning, NLP, Generative AI etc. Collaborate with business experts for business understanding, working with other consultants and platform engineers for solutions and with technology teams for prototyping and client implementations. Have a deep understanding of the Responsible AI & Gen AI framework as well as tools to engage the client in meaningful discussions and steer towards the right recommendation Define an AI use case driven value realization framework and define business cases relevant to the client industry Create expert content and use advanced presentation, public speaking, content creation and communication skills for C-Level discussions. Demonstrate strong understanding of a specific industry , client or technology and function as an expert to advise senior leadership. Manage budgeting and forecasting activities and build financial proposals Qualification Your experience counts! MBA from a tier 1 institute 7 10 years of Strategy Consulting experience at a consulting firm 3+ years of experience writing business cases (quantitative and qualitative) to support strategic business initiatives or Data & AI transformation 4+ years of experience in designing and building end-to-end Enterprise AI and Gen AI Strategic Solutions using Cloud & Non-Cloud platforms like Google Vertex and Gemini, Azure AI, Open AI, Co-Pilot, Amazon Bedrock, IBM Watson, DataRobot etc. Excellent understanding of Traditional AI, Gen AI, Agentic AI and Advanced Cognitive methods to derive insights and actions Good working knowledge in formulation of relevant guiding principles and platform components with expertise in Responsible AI frameworks is highly preferred 3+ years of experience leading or managing large teams effectively including planning/structuring analytical work, facilitating team workshops, and developing Data & AI strategy recommendations as well as developing POCs Deep Understanding of data supply chain and building value realization framework for Data & AI transformations Mandatory knowledge of IT & Enterprise architecture concepts through practical experience and knowledge of technology trends e.g. Mobility, Cloud, Digital, Collaboration A strong understanding in any of the following industries is preferred:Financial Services, Retail, Consumer Goods, Telecommunications, Life Sciences, Transportation, Hospitality, Automotive/Industrial, Mining and Resources or equivalent domains Cloud AI Practitioner Certifications (Azure, AWS, Google) desirable but not essential.

As the Director of AI Practice at Mirketa Inc., you will be at the forefront of defining and executing our AI strategy. Your role will involve leading our AI initiatives, driving innovation, and building a high-impact AI practice from scratch. We are seeking a hands-on leader with a strong technical background in AI/ML, an entrepreneurial mindset, and the ability to strike a balance between strategic vision and execution. Your responsibilities will include developing the strategic roadmap for our AI practice, staying abreast of AI trends and tools to ensure our competitiveness, and creating AI solutions within the Salesforce ecosystem and other platforms. You will be tasked with hiring and nurturing a high-performing AI team, providing training on AI technologies, and developing AI-driven solutions tailored to enterprise clients. Furthermore, you will support pre-sales efforts by assisting the sales team with client presentations, proposal development, and PoCs. Collaborating with marketing, you will craft AI service propositions and engage closely with customers to align solutions with their business outcomes. To excel in this role, you should possess 12+ years of industry experience with a robust foundation in AI/ML technologies such as deep learning, NLP, predictive analytics, and generative AI. Proficiency in AI frameworks like TensorFlow, PyTorch, and cloud-based AI platforms such as AWS AI and Google Vertex AI, along with familiarity with Salesforce AI offerings, will be advantageous. Leadership skills, project management capabilities, and a knack for supporting pre-sales activities are also essential attributes. In return, Mirketa Inc. offers you a leadership position in shaping our AI vision and practice, an entrepreneurial work environment with significant ownership, the opportunity to work on cutting-edge AI technologies, and a flexible and supportive work culture. Additionally, a competitive compensation package awaits the successful candidate.,

Agent Development: Design, implement, and optimize AI agents using Microsoft CoPilot and related technologies. Develop custom AI solutions leveraging Power Automate, Azure OpenAI, and other Microsoft tools. Solution Integration: Deploy AI solutions within client environments, ensuring scalability and seamless integration with existing systems. Work with stakeholders to identify automation opportunities and tailor solutions to business needs. AI Algorithm and Model Implementation: Design and implement machine learning algorithms, focusing on natural language processing (NLP) and conversational AI. Perform data preprocessing, feature engineering, and model training to create high-performing solutions. Collaboration and Support: Collaborate with cross-functional teams, including software engineers, data scientists, and product managers, to deliver integrated solutions. Provide technical guidance and support to ensure the successful adoption and use of AI-driven tools. Continuous Improvement: Stay updated on advancements in AI, machine learning, and Microsofts AI technologies. Contribute to knowledge sharing by conducting training sessions and documenting best practices. Preferred Skills: Strong knowledge of Microsoft Power Automate, Azure AI, and CoPilot features. Proficiency in Python and its AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). Familiarity with building and managing cloud-based solutions, preferably on Microsoft Azure. Understanding of conversational AI technologies and chatbot frameworks. Experience with data analysis tools and techniques to uncover insights and optimize models. Requirements: Bachelors or Masters degree in Computer Science, Data Science, or a related field. Proven experience in developing and deploying AI/ML models in real-world applications. Strong programming skills, especially in Python, and familiarity with version control systems like Git. Extensive experience in the Microsoft environment, with expertise in CoPilot and related technologies. Excellent problem-solving and communication skills. Ability to work independently and collaboratively in a fast-paced, dynamic environment.

Educational Requirements Master Of Engineering,Master Of Science,Master Of Technology,Bachelor Of Comp. Applications,Bachelor Of Science,Bachelor of Engineering,Bachelor Of Technology Service Line Cloud & Infrastructure Services Responsibilities As an Infra AI Automation Programmer you will work on design, development, and deployment of AI systems that generate content or data, often using techniques such as deep learning, neural networks, and generative models using Python backend coding. Meet with clients in and remotely to understand their business objectives, challenges, and identify potential use cases for Generative AI. Assess the client's existing technology infrastructure, data landscape, and AI maturity to determine the feasibility and best approaches for Gen AI adoption. Conduct workshops and discovery sessions to brainstorm Gen AI applications across various business functions (e.g., content creation, customer service, product development, marketing).Gen AI Strategy and Solution Design: Develop tailored Gen AI strategies and roadmaps for clients in outlining specific use cases, implementation plans, and expected business outcomes. Design Gen AI solutions architecture, considering factors such as model selection (e.g., large language models (LLMs), diffusion models), data requirements, integration with existing systems, and scalability. Evaluate and recommend appropriate Gen AI platforms, tools, and APIs (e.g., OpenAI, Google AI, Azure AI, open-source libraries) relevant to the client's needs and the Indian market. Advise on prompt engineering techniques to optimize the output and performance of Gen AI models for specific client applications. Additional Responsibilities: Besides the professional qualifications of the candidates, we place great importance in addition to various forms personality profile. These include: High analytical skills A high degree of initiative and flexibility High customer orientation High quality awareness Excellent verbal and written communication skills Technical and Professional Requirements: At least 2+ years of programming experience in Python Handson experience in working on Gen AI Handson experience in Tensorflow, Pytorch, Langchain and Prompt Engineering Experience with vector databases and retrieval-augmented generation (RAG). Familiarity with MLOps principles and tools for deploying and managing Gen AI models. Understanding of ethical considerations and responsible AI frameworks. Understanding of data structures, data modelling , SQL & NOSQL Object oriented and functional programming & GIT Knowledge of basic algorithms and object-oriented and functional design principles Deep Knowledge of Mathematics, Probability, Statistics, and Algorithms Good Communication skills Good analytical and problem-solving skills Preferred Skills: Technology->Machine Learning->TensorFlow Technology->Machine Learning->Python Technology->Machine Learning->Generative AI

Job Overview The Applied AI Solutions Architect is a strategic role responsible for designing, implementing, and managing AI-driven solutions that align with business objectives. This position bridges technical expertise in artificial intelligence (AI) and machine learning (ML) with business strategy, ensuring scalable, ethical, and high-performing AI systems. The AI Solutions Architect collaborates with cross-functional teams to deliver innovative solutions, leveraging generative AI, cloud platforms, and modern architectures like Retrieval-Augmented Generation (RAG). Responsibilities Solution Design : Architect end-to-end AI/ML pipelines, including data ingestion, preprocessing, model training, deployment, and monitoring, ensuring scalability and performance. Technology Selection : Evaluate and select appropriate AI frameworks, tools, and cloud services (e.g., AWS SageMaker, Azure AI, Google Cloud AI) based on project requirements. Generative AI Implementation : Design solutions using large language models (LLMs) and RAG architectures for applications like content generation, customer engagement, or product design. Collaboration : Work with data scientists, engineers, product managers, and executives to translate business needs into technical solutions, acting as a trusted advisor. Governance and Ethics : Implement responsible AI practices, addressing bias, security, and compliance in AI systems. MLOps and AIOps : Establish CI/CD pipelines, model versioning, and monitoring frameworks to operationalize AI solutions. Thought Leadership : Advocate for AI-driven innovation, mentor teams, and communicate technical concepts to non-technical stakeholders. Performance Optimization : Ensure AI solutions meet latency, cost, and quality requirements, optimizing for production environments. Skill Set Technical Skills : Proficiency in Python, R, or Julia for AI/ML development. Expertise in ML frameworks like TensorFlow, PyTorch, Hugging Face, or Scikit-learn. Experience with cloud platforms (AWS, Azure, Google Cloud) and AI services like Amazon Bedrock or Azure AI Foundry. Knowledge of MLOps tools (e.g., Kubeflow, MLflow) and CI/CD pipelines. Familiarity with generative AI techniques, including prompt engineering, fine-tuning, and RAG. Understanding of data engineering concepts, including ETL processes and data lakes. Soft Skills : Strong communication to bridge technical and business teams. Analytical thinking for evaluating trade-offs and designing optimal solutions. Leadership and mentorship to guide cross-functional teams. Domain Knowledge : Experience in industries like healthcare, finance, or technology, with an understanding of relevant use cases (e.g., drug discovery, personalized marketing). Certifications AWS Certified Machine Learning Specialty Microsoft Azure AI Engineer Associate Google Cloud Professional Machine Learning Engineer Coursera or Edureka AI/ML certifications (e.g., DeepLearning.AIs Generative AI Specialization) ITIL or TOGAF for enterprise architecture alignment (optional) Qualifications Bachelors or Masters degree in Computer Science, Data Science, or a related field. 8+ years of experience in ML engineering, data science, or software architecture, with 3+ years in AI/ML solution design. Proven track record of deploying AI solutions in production environments.

Overview RSM is seeking a highly skilled and innovative Modern Work Engineer with a focus on Artificial Intelligence to join our Modern Work team, part of the MCI-Infrastructure organization. This role is pivotal in driving the implementation and optimization of AI-driven solutions within our organization. Primary Responsibilities Develop and implement AI-based solutions utilizing Copilot, Copilot Studio, and Azure AI. Design, develop, and maintain SPFx Web Parts for SharePoint. Collaborate with cross-functional teams to integrate AI capabilities into existing systems and workflows. Leverage C#, .NET, and SharePoint to create scalable and efficient applications. Implement and manage solutions using Power Platform, Microsoft Teams, and Adaptive Cards. Complete content migration initiatives ensuring data integrity and security. Understand third-party workflow tools to properly migrate workflows to Power Platform. Stay current with advancements in AI and related technologies to drive continuous improvement. Qualifications Required Experience and Skills A minimum of 5 years of professional experience in software development, with at least 6 months focused on AI technologies. Proficiency in Copilot, Copilot Studio, and Azure AI. Strong knowledge of SPFx Web Parts, C#, .NET, SharePoint, and Power Platform. Experience with Microsoft Teams, Content Migrations, and Adaptive Cards. Expertise in SQL Server. Deep understanding of third party workflow tools and task automation. Excellent problem-solving skills and the ability to work collaboratively in a team environment. Strong communication skills to effectively convey complex technical concepts to non-technical stakeholders. Experience configuring and customizing Copilot and Syntex. Experience with Graph Connectors and Copilot Studio integrations with LOB systems. Preferred Skills Experience with AI-driven business applications and solutions. Knowledge of the latest trends and advancements in Artificial Intelligence. Certification in relevant Microsoft technologies. Shift : 2PM to 11PM IST

About Company Papigen is a fast-growing global technology services company, delivering innovative digital solutions through deep industry experience and cutting-edge expertise. We specialize in technology transformation, enterprise modernization, and dynamic areas like Cloud, Big Data, Java, React, DevOps, and more. Our client-centric approach combines consulting, engineering, and data science to help businesses evolve and scale efficiently. Job Overview We are seeking an experienced AI Developer to design, build, and deploy AI/ML-driven solutions leveraging Azure cloud services, Large Language Models (LLMs), and MLOps best practices . The role involves working on automation, AI-enabled document intelligence, and reporting/analytics enhancements to improve efficiency, accuracy, and business decision-making. Key Responsibilities Work with business and technical teams to translate requirements into scalable AI/ML solutions. Design, develop, test, and deploy applications aligned with enterprise architecture frameworks. Develop and fine-tune Large Language Models (LLMs) and apply prompt engineering techniques for tasks such as summarization, text classification, and document understanding. Implement Azure AI Document Intelligence for extracting structured data from invoices, forms, and contracts. Build, optimize, and monitor ML models and pipelines using Azure ML, MLflow, and MLOps practices. Deploy models using Azure ML endpoints, containers, or serverless (Azure Functions) for real-time AI workflows. Develop and manage event-driven AI solutions leveraging Azure Functions and cognitive services. Write clean, efficient, and optimized code in Python (with libraries such as NumPy, Pandas, Scikit-learn, Matplotlib). Integrate AI workflows with databases and data lakes (SQL/NoSQL). Use Azure DevOps & Git for version control, CI/CD, and workflow automation. Document user stories, technical specifications, test cases, and results as part of Agile delivery. Required Skills & Experience Large Language Models (LLMs) & Prompt Engineering (GPT, BERT, etc.) Azure AI & MLOps (Azure ML, MLflow, CI/CD pipelines) Python (NumPy, Pandas, Scikit-learn, PyTorch, XGBoost) Azure Document Intelligence for document processin Model development, evaluation, and hyperparameter tunin Azure Functions & Serverless AI workflow Strong SQL / NoSQL and data lake integration experienc Experience with Azure DevOps, Git, and automated deployment pipelines 57 years of relevant experience in AI/ML development and deployment Skills: azure,azure ml,azure mlops,large language models,llm,artificial intelligence,mlflow,azure functions,python,prompt engineering,gpt,bert,scikit-learn,pytorch,xgboost,models,ml Show more Show less

What were looking for: 4+ years of experience in Data Science 12 years of proven work in Machine Learning Minimum 2 years of experience in Deep Learning Proficiency in Python, Linux, and Containers (Docker/K8s) Hands-on with GenAI frameworks like LangChain, LlamaIndex, Hugging Face Transformers Experience deploying models using Vertex AI or Azure AI Currently contributing to a live project (public GitHub profile preferred) Key Responsibilities Deploy and manage AI workloads in hybrid cloud environments using RHEL AI and OpenShift AI, with guidance and training provided. Collaborate with teams to fine-tune and operationalize AI models, including large language models (LLMs), using tools like InstructLab. Build and maintain containerized applications with Kubernetes or similar platforms, adapting to OpenShift as needed. Support the development, training, and deployment of AI/ML models, leveraging frameworks like PyTorch or TensorFlow. Assist in implementing MLOps practices for model lifecycle management, with exposure to CI/CD pipelines. Troubleshoot and optimize Linux-based systems to ensure reliable AI performance. Learn and apply Red Hat-specific tools and best practices through on-the-job training and resources. Document workflows and contribute to Reve Clouds team knowledge sharing.

We are looking for Data Scientist with AI specialization as mentioned in JD. Python is at core for this requirement with emphasis on Azure AI services including AI frameworks mentioned in JD As an Azure Data ScientistAI Engineer for Agent Development you will be at the forefront of our AI initiatives transforming complex business problems into sophisticated agentbased solutions You will work closely with crossfunctional teams to understand requirements design agent architectures implement and optimize agentic behaviors and ensure seamless integration and deployment on Azure Key Responsibilities Agent System Design Architecture Design develop and implement endtoend agentbased AI systems using frameworks such as Autogen Langgraph and CrewAI This includes defining agent roles communication protocols and task orchestration Azure Platform Expertise Leverage a wide range of Azure services including Azure Machine Learning Azure OpenAI Service Azure Databricks Azure Functions and other relevant data and AI services for building training deploying and managing agent solutions Large Language Model LLM Integration Integrate and finetune LLMs eg GPTx models via Azure OpenAI within agentic workflows focusing on prompt engineering context management and optimizing LLM interactions for specific tasks Data Preparation Feature Engineering Work with diverse datasets on Azure performing data cleaning transformation and feature engineering to prepare data for agent consumption and to enhance agent performance Workflow Orchestration Develop and manage complex stateful agent workflows using Langgraph for intricate decisionmaking processes loops and conditional logic MultiAgent Collaboration Implement and optimize multiagent collaboration strategies using Autogen to enable agents to converse delegate tasks and collectively solve problems CrewAI Implementation Utilize CrewAI to define and orchestrate collaborative agent crews with distinct roles tools and shared objectives for streamlined task execution Tool Development Develop custom tools and integrations for agents to interact with external APIs databases and other systems extending their capabilities Deployment MLOps Operationalize agent solutions on Azure including containerization Docker KubernetesAKS setting up CICD pipelines monitoring agent performance and implementing robust MLOps practices for continuous improvement Performance Optimization Scalability Identify and implement strategies to optimize the performance efficiency and scalability of agent systems on Azure Research Innovation Stay uptodate with the latest advancements in AI LLMs and agentic AI frameworks researching and evaluating new technologies for potential application Collaboration Communication Work effectively with data engineers software engineers product managers and business stakeholders to translate requirements into technical solutions and communicate complex concepts clearly Responsible AI Ensure the ethical development and deployment of AI agents addressing bias fairness transparency and security concerns Required Skills and Qualifications Bachelors or Masters degree in Computer Science Data Science Artificial Intelligence or a related quantitative field If PhD will be good Proven experience 12yrs as a Data Scientist or AI Engineer with a strong focus on building and deploying machine learning or AI solutions Deep expertise in Azure cloud services specifically Azure Machine Learning Azure OpenAI Service Azure Databricks Azure Functions Azure Data Lake Storage etc Strong programming skills in Python Python PyTorch TensorFlow Scikitlearn Handson experience with agent orchestration frameworks Autogen Experience in building multiagent conversational systems and enabling dynamic collaboration Langgraph Proficiency in designing and implementing stateful graphbased agent workflows with complex logic CrewAI Experience in orchestrating roleplaying autonomous AI agents for collaborative task execution Solid understanding of Large Language Models LLMs prompt engineering and RAG Retrieval Augmented Generation techniques Experience with MLOps practices including CICD model monitoring and version control Git Familiarity with containerization technologies Docker Kubernetes Strong analytical and problemsolving skills with the ability to translate business requirements into technical solutions Excellent communication and collaboration skills

Design & implement scalable data integration pipelines using Azure Data Factory, Azure Databricks, & ADLS, Develop & deploy AI/ML models using Machine Learning, Azure Cognitive Services & other Azure AI services. Ensure high-quality data processing Required Candidate profile Backend Development: 7–10 years of experience with Java and Spring Boot, focused on building scalable microservices, API Integration, Strong understanding of Azure AI and data services - ADLS, Azure,

Greetings from AIS!! AIS (Applied Information Sciences) is a highly regarded software and systems engineering firm providing professional application development services to commercial and government clients since 1982. One of Microsofts oldest and largest Managed Gold partners in the U.S., AIS is exclusively focused on building enterprise-class custom applications using Microsoft technologies. As we continue to experience extraordinary growth, we are seeking professionals to join our AIS Team in India. For more information, please visit: http://www.ais.com https://www.ais.com/blog/ If you are interested, Please apply through this link below: https://appliedis.wd5.myworkdayjobs.com/AIS_Careers_India/job/India-Corporate-Headquarters---Hyderabad/Senior-Software-Engineer_JR2025000776 Full-time opportunity Job Summary: We are seeking a highly experienced and motivated .NET Full Stack Developer to join our team as the principal development resource. This role will be responsible for the design, development, and deployment of enterprise applications, while collaborating with cross-functional teams and clients. The ideal candidate will have strong hands-on experience with .NET technologies, SQL Server, Azure cloud, and web development, along with exposure to AI-based solutions. Key Responsibilities: Develop and maintain full stack applications using .NET Framework/Core, VB.NET/C#, ASP.NET, Web API, and T-SQL. We require a good developer with exposure to Azure AI services and an eagerness to learn. Good to have Azure OpenAI APIs, experience in consuming Azure open AI as an API, LangChain, Symantec Kernel, Vector Index, RAG Pattern Collaborate with requirement analysts and business stakeholders to define and refine software requirements. Design scalable solutions and lead the implementation of new features, enhancements, and bug fixes.Write clean, efficient, and maintainable code following industry best practices and SOLID principles. Develop unit and integration tests using testing tools like NUnit. Participate in code reviews. Work closely with DevOps to implement CI/CD pipelines on Azure. Troubleshoot production issues and ensure system stability and performance. Document technical designs, system specifications, and operational procedures. Support integration of AI features and intelligent automation where applicable. Participate in Agile ceremonies and clearly communicate progress and blockers. Required Skills: 8-10+ years of software development experience with .NET technologies. 5+ years of experience with C#, ASP.NET, .NET Framework/Core, and Web API. Strong frontend development skills using HTML, CSS, JavaScript, and jQuery. Proficient in Azure services including App Services, CI/CD pipelines, and Azure DevOps. Strong T-SQL skills and experience working with SQL Server. Excellent problem-solving skills and knowledge of object-oriented programming and design patterns. Strong understanding of software development lifecycle and Agile methodologies. Experience with RESTful API development and integration. Exposure to AI/ML technologies and ability to integrate intelligent features into applications. Excellent verbal and written communication skills. Preferred Experience: Experience with Telerik/Kendo UI controls. Working knowledge of actuarial or accounting systems is a plus. Understanding of security frameworks including SSL, HTTP, HTTPS. Thanks & Regards, Meghana Reddy M Sr. Talent Aquisition Business Partner Email: meghana.mandhala@ais.com

We are seeking a skilled and motivated Azure AI Engineer with 2 to 4 years of experience to design and implement intelligent applications using Azure Cognitive Services. The ideal candidate will have strong experience in Natural Language Processing (NLP), document and image understanding, and the ability to generate data-driven narratives using information stored in SQL databases and Azure Blob Storage. Key Responsibilities: Design and develop NLP applications using Azure AI services such as: Azure Cognitive Services (Language, Vision, Form Recognizer) Azure Open AI Service Azure Bot Services Create narratives and insights from structured data stored in SQL databases using language models. Develop intelligent chatbots capable of answering questions by interpreting documents, images, and Office files (Word, PDF, Excel) stored in Azure Blob Storage. Build and optimize pipelines for ingesting and processing unstructured data using Azure tools. Collaborate with data engineers and analysts to extract, transform, and leverage data for conversational and content management use cases. Ensure compliance with enterprise security, privacy, and governance standards for AI applications. Required Skills: 2 - 4 years of hands-on experience in designing and deploying AI/ML solutions on Microsoft Azure. Strong working knowledge of: Azure Cognitive Services (Language, Vision, Form Recognizer, Translator) Azure Open AI (GPT-4, fine-tuning, embeddings) Azure Bot Framework and QnA Maker (or Azure AI Studio) Azure Blob Storage and Azure Functions Experience integrating with SQL Server or Azure SQL Database for narrative and insight generation. Proficiency in Python or C# for AI model development and integration. Experience in handling unstructured content: PDFs, scanned images, Office documents. Familiarity with prompt engineering, embedding models, and retrieval-augmented generation (RAG) is a plus. Good understanding of NLP tasks: text summarization, information extraction, question answering, and sentiment analysis. Preferred Qualifications: Microsoft Certified: Azure AI Engineer Associate or similar certification. Familiarity with vector databases like Azure Cognitive Search, Pinecone, or Weaviate. Experience with CI/CD pipelines and version control (e.g., Azure DevOps, Git). Strong communication and documentation skills.

You are the leading global provider of managed services, cybersecurity, and business transformation for mid-market financial services organizations across the globe. From your unmatched range of services, you provide stability, security, and improved business performance, freeing your clients from technology concerns and enabling them to focus on running their businesses. More than 1,000 customers worldwide with over $3 trillion of assets under management put their trust in you. You believe that success is driven by passion and purpose. Your passion for technology is only surpassed by your commitment to empowering your employees around the world. You have an exciting Opportunity for a Cloud Data Engineer. This full-time position is open for an experienced Senior Data Engineer that will support several of your clients" systems. Client satisfaction is your primary objective; all available positions are customer-facing requiring excellent communication and people skills. A positive attitude, rigorous work habits, and professionalism in the workplace are a must. Fluency in English, both written and verbal, is required. This is an Onsite role. As a senior cloud data engineer with 7+ years of experience, you will have strong knowledge and hands-on experience with Azure data services such as Azure Data Factory, Azure Synapse Analytics, Azure SQL Database, Azure Data Lake, Logic apps, Azure Synapse Analytics, Apache Spark, and Snowflake Datawarehouse, Azure Fabric. It is good to have experience with Azure Databricks, Azure Cosmos DB, Azure AI, and developing cloud-based applications. You should be able to analyze problems and provide solutions, design, implement, and manage data warehouse solutions using Azure Synapse Analytics or similar technologies, migrate data from On-Premises to Cloud, and proficiency in data modeling techniques. Your responsibilities include designing and developing ETL/ELT processes to move data between systems and transform data for analytics, strong programming skills in languages such as SQL, Python, or Scala, developing and maintaining data pipelines, experience in at least one of the reporting tools such as Power BI/Tableau, working effectively in a team environment, communicating complex technical concepts to non-technical stakeholders, managing and optimizing databases, understanding business requirements, converting them to technical design for implementation, performing analysis, developing and testing code, designing and developing cloud-based applications using Python on a serverless framework, troubleshooting skills, creating, maintaining, and enhancing applications, working independently as an individual contributor, and following Agile Methodology (SCRUM). You have experience in developing cloud-based data applications, hands-on experience in Azure data services, data warehousing, ETL, understanding cloud architecture principles, best practices, developing pipelines using ADF, Synapse, migrating data from On-Premises to Cloud, writing complex SQL scripts, transformations, analyzing problems, providing solutions, knowledge in CI/CD pipelines, Python, and API Gateway. Product Management/BA experience is a nice-to-have. Your culture is all about connection - connection with your clients, your technology, and most importantly with each other. In addition to working with an amazing team around the world, you also offer a competitive compensation package. If someone believes they would be a great fit and are ready for their best job ever, you would like to hear from them. Love Your Job, Share Your Technology Passion, Create Your Future Here!,