99 Cognitive Jobs

Mandatory Skills: AI Cognitive. Experience5-8 Years.

Role Purpose The purpose of this role is to develop minimum viable product (MVP) and comprehensive AI solutions that meet and exceed clients expectations and add value to business. Do Manage the product/ solution development using the desired AI techniques Lead development and implementation of custom solutions through thoughtful use of modern AI technology Review and evaluate the use cases and decide whether a product can be developed to add business value Create the overall product development strategy and integrating with the larger interfaces Create AI models and framework and implement them to cater to a business problem Draft the desired user Interface and create AI models as per business problem Analyze technology environment and client requirements to define product solutions using AI framework/ architecture Implement the necessary security features as per products requirements Review the used case and see the latest AI that can be used in products development Identify problem areas and perform root cause analysis and provide relevant solutions to the problem Tracks industry and application trends and relates these to planning current and future AI needs Create and delegate work plans to the programming team for product development Interact with Holmes advisory board for knowledge sharing and best practices Responsible for developing and maintaining client relationships with the key strategic partners and decision makers Drive discussions and provide consultation around product design as per customer needs Participate in client interactions and gather insights regarding product development Interact with vertical delivery and business teams and provide and correct responses to RFP/ client requirements Assist in products demonstration and receive feedback from the client Design presentations for seminars, meetings and enclave primarily focused over product Team Management Resourcing Forecast talent requirements as per the current and future business needs Hire adequate and right resources for the team Talent Management Ensure adequate onboarding and training for the team members to enhance capability & effectiveness Build an internal talent pool and ensure their career progression within the organization Manage team attrition Drive diversity in leadership positions Performance Management Set goals for the team, conduct timely performance reviews and provide constructive feedback to own direct reports Ensure that the Performance Nxt is followed for the entire team Employee Satisfaction and Engagement Lead and drive engagement initiatives for the team Track team satisfaction scores and identify initiatives to build engagement within the team Mandatory Skills: AI Cognitive . Experience: 5-8 Years .

Role Purpose The purpose of this role is to develop minimum viable product (MVP) and comprehensive AI solutions that meet and exceed clients expectations and add value to business. Do Manage the product/ solution development using the desired AI techniques Lead development and implementation of custom solutions through thoughtful use of modern AI technology Review and evaluate the use cases and decide whether a product can be developed to add business value Create the overall product development strategy and integrating with the larger interfaces Create AI models and framework and implement them to cater to a business problem Draft the desired user Interface and create AI models as per business problem Analyze technology environment and client requirements to define product solutions using AI framework/ architecture Implement the necessary security features as per products requirements Review the used case and see the latest AI that can be used in products development Identify problem areas and perform root cause analysis and provide relevant solutions to the problem Tracks industry and application trends and relates these to planning current and future AI needs Create and delegate work plans to the programming team for product development Interact with Holmes advisory board for knowledge sharing and best practices Responsible for developing and maintaining client relationships with the key strategic partners and decision makers Drive discussions and provide consultation around product design as per customer needs Participate in client interactions and gather insights regarding product development Interact with vertical delivery and business teams and provide and correct responses to RFP/ client requirements Assist in products demonstration and receive feedback from the client Design presentations for seminars, meetings and enclave primarily focused over product Team Management Resourcing Forecast talent requirements as per the current and future business needs Hire adequate and right resources for the team Talent Management Ensure adequate onboarding and training for the team members to enhance capability & effectiveness Build an internal talent pool and ensure their career progression within the organization Manage team attrition Drive diversity in leadership positions Performance Management Set goals for the team, conduct timely performance reviews and provide constructive feedback to own direct reports Ensure that the Performance Nxt is followed for the entire team Employee Satisfaction and Engagement Lead and drive engagement initiatives for the team Track team satisfaction scores and identify initiatives to build engagement within the team Mandatory Skills: AI Cognitive. Experience: 5-8 Years.

Roles and Responsibility Design, develop, and test software applications using AI Cognitive technologies. Collaborate with cross-functional teams to identify and prioritize project requirements. Develop and maintain high-quality, efficient, and well-documented code. Troubleshoot and resolve technical issues efficiently. Participate in code reviews and contribute to improving overall code quality. Stay updated with industry trends and emerging technologies in AI Cognitive. Job Requirements Strong knowledge of AI Cognitive concepts and technologies. Experience with software development methodologies and tools. Excellent problem-solving skills and attention to detail. Ability to work collaboratively in a team environment. Strong communication and interpersonal skills. Ability to adapt to changing priorities and deadlines. Mandatory Skills: Fullstack MERN. Experience: 5-8 Years.

Role Purpose The purpose of this role is to develop minimum viable product (MVP) and comprehensive AI solutions that meet and exceed clients expectations and add value to business. Do Manage the product/ solution development using the desired AI techniques Lead development and implementation of custom solutions through thoughtful use of modern AI technology Review and evaluate the use cases and decide whether a product can be developed to add business value Create the overall product development strategy and integrating with the larger interfaces Create AI models and framework and implement them to cater to a business problem Draft the desired user Interface and create AI models as per business problem Analyze technology environment and client requirements to define product solutions using AI framework/ architecture Implement the necessary security features as per products requirements Review the used case and see the latest AI that can be used in products development Identify problem areas and perform root cause analysis and provide relevant solutions to the problem Tracks industry and application trends and relates these to planning current and future AI needs Create and delegate work plans to the programming team for product development Interact with Holmes advisory board for knowledge sharing and best practices Responsible for developing and maintaining client relationships with the key strategic partners and decision makers Drive discussions and provide consultation around product design as per customer needs Participate in client interactions and gather insights regarding product development Interact with vertical delivery and business teams and provide and correct responses to RFP/ client requirements Assist in products demonstration and receive feedback from the client Design presentations for seminars, meetings and enclave primarily focused over product Team Management Resourcing Forecast talent requirements as per the current and future business needs Hire adequate and right resources for the team Talent Management Ensure adequate onboarding and training for the team members to enhance capability & effectiveness Build an internal talent pool and ensure their career progression within the organization Manage team attrition Drive diversity in leadership positions Performance Management Set goals for the team, conduct timely performance reviews and provide constructive feedback to own direct reports Ensure that the Performance Nxt is followed for the entire team Employee Satisfaction and Engagement Lead and drive engagement initiatives for the team Track team satisfaction scores and identify initiatives to build engagement within the team Mandatory Skills: AI Cognitive. Experience: 5-8 Years.

Role Purpose The purpose of this role is to develop minimum viable product (MVP) and comprehensive AI solutions that meet and exceed clients expectations and add value to business. Do Manage the product/ solution development using the desired AI techniques Lead development and implementation of custom solutions through thoughtful use of modern AI technology Review and evaluate the use cases and decide whether a product can be developed to add business value Create the overall product development strategy and integrating with the larger interfaces Create AI models and framework and implement them to cater to a business problem Draft the desired user Interface and create AI models as per business problem Analyze technology environment and client requirements to define product solutions using AI framework/ architecture Implement the necessary security features as per products requirements Review the used case and see the latest AI that can be used in products development Identify problem areas and perform root cause analysis and provide relevant solutions to the problem Tracks industry and application trends and relates these to planning current and future AI needs Create and delegate work plans to the programming team for product development Interact with Holmes advisory board for knowledge sharing and best practices Responsible for developing and maintaining client relationships with the key strategic partners and decision makers Drive discussions and provide consultation around product design as per customer needs Participate in client interactions and gather insights regarding product development Interact with vertical delivery and business teams and provide and correct responses to RFP/ client requirements Assist in products demonstration and receive feedback from the client Design presentations for seminars, meetings and enclave primarily focused over product Team Management Resourcing Forecast talent requirements as per the current and future business needs Hire adequate and right resources for the team Talent Management Ensure adequate onboarding and training for the team members to enhance capability & effectiveness Build an internal talent pool and ensure their career progression within the organization Manage team attrition Drive diversity in leadership positions Performance Management Set goals for the team, conduct timely performance reviews and provide constructive feedback to own direct reports Ensure that the Performance Nxt is followed for the entire team Employee Satisfaction and Engagement Lead and drive engagement initiatives for the team Track team satisfaction scores and identify initiatives to build engagement within the team Mandatory Skills: AI Cognitive. Experience: 5-8 Years.

Hi All, We are hiring of Data Science for MNCs Developer: Exp-5.5+ Years Location- Pan India Notice Period- Immediate Joiner Work Mode- hybrid Interview Mode- Virtual We have two Position:- 1) AIML Engineer 2) Gen AI Engineer 3) Gen AI Engineer (With Azure Cognitive Services) Key Responsibilities: JD- AIML Engineer Must have experience with Machine Learning Model Development Expert Level Proficiency in Data Handling (SQL) Hands-on with Model Engineering and Improvement Strong experience in Model Deployment and Productionlization Extensive experience in developing and implementing machine learning, Deep Learning, NLP models across various domains, Strong proficiency in Python, including relevant libraries and frameworks for machine learning, such as scikit-learn, XGBoost and Keras. Ability to write efficient, clean, and scalable code for model development and evaluation. Proven experience in enhancing model accuracy through engineering techniques, such as feature engineering, feature selection, and data augmentation. Ability to analyze model samples in relation to model scores, identify patterns, and iteratively refine models for improved performance. Strong expertise in deploying machine learning models to production systems. Familiarity with the end-to-end process of model deployment, including data preprocessing, model training, optimization, and integration into production environments JD GenAI: Experience with AI and Machine Learning algorithms. Experience with Python framework and any cloud (AWS, Azure). Familiarity with AI platforms and understanding of their capabilities and limitations. Experience with Natural Language Processing (NLP). Understanding of RAG, neural networks, and other AI/ML concepts. Ability to design and implement AI models. Experience with AI/ML frameworks like TensorFlow, PyTorch, etc. General Skills: Strong problem-solving skills. Excellent communication and teamwork skills. Ability to work in a fast-paced, dynamic environment. Strong project management and organizational skills. Ability to clearly and effectively present complex concepts to non-technical stakeholders. JD GenAI with Azure Cognitive Services:- 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. If anyone interested please share your update resume on below mail:- Priya.singhal@thehrsolutions.in Regards, priya Singhal

About The Role Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Microsoft Azure OpenAI Service Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will be responsible for leading the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve working with Microsoft Azure OpenAI Service and collaborating with cross-functional teams to deliver high-quality solutions. Roles & Responsibilities:- Lead the design, development, and deployment of applications using Microsoft Azure OpenAI Service, Azure AI Search (Cognitive Search), Azure Language Services (CLU), Microsoft Bot Framework/ Microsoft Power Virtual Agents (Microsoft Copilot Studio) and Azure PaaS.- Collaborate with cross-functional teams to ensure the timely delivery of high-quality solutions.- Act as the primary point of contact for all application-related issues, providing technical guidance and support to team members.- Ensure adherence to best practices and standards for application development, including code reviews, testing, and documentation. Professional & Technical Skills: Must To Have Skills: Strong experience with Microsoft Azure OpenAI Service, Azure AI Search (Cognitive Search), Azure Language Services (CLU) and Azure PaaS including API Management, Key Vault and Application Insights..- Must To Have Skills: At least 1+ year hands on experience in Azure based LLMs with knowledge in embeddings/vectorization and semantic/vector based indexing and search.-Must to Have Skills: Experience with conversational AI with Microsoft Bot Framework or Power Virtual Agents (Microsoft Copilot Studio)- Must To Have Skills: Strong understanding of software development best practices including Agile methodologies and industry standards with special focus on API, function app and logic app building. Experience with Python programming language, using Visual Studio Code IDE and Azure AI Studio.- Good To Have Skills: Other programming languages such as C#.- Good To Have Skills: Experience with deployment of applications in Azure cloud.Good To Have Skills: Experience with all Azure AI services like Video Indexer, Computer Vision, Custom Vision, Document Intelligence.- Experience with database technologies such as SQL Server and Cosmos DB.- Solid grasp of software testing and quality assurance principles. Additional Information:- The candidate should have a minimum of 3 years of experience in software development.- The ideal candidate will possess a strong educational background in computer science or a related field, along with a proven track record of delivering high-quality software solutions.- This position is based at our Bengaluru office. Qualification 15 years full time education

Role Purpose The purpose of this role is to develop minimum viable product (MVP) and comprehensive AI solutions that meet and exceed clients expectations and add value to business. Do Manage the product/ solution development using the desired AI techniques Lead development and implementation of custom solutions through thoughtful use of modern AI technology Review and evaluate the use cases and decide whether a product can be developed to add business value Create the overall product development strategy and integrating with the larger interfaces Create AI models and framework and implement them to cater to a business problem Draft the desired user Interface and create AI models as per business problem Analyze technology environment and client requirements to define product solutions using AI framework/ architecture Implement the necessary security features as per products requirements Review the used case and see the latest AI that can be used in products development Identify problem areas and perform root cause analysis and provide relevant solutions to the problem Tracks industry and application trends and relates these to planning current and future AI needs Create and delegate work plans to the programming team for product development Interact with Holmes advisory board for knowledge sharing and best practices Responsible for developing and maintaining client relationships with the key strategic partners and decision makers Drive discussions and provide consultation around product design as per customer needs Participate in client interactions and gather insights regarding product development Interact with vertical delivery and business teams and provide and correct responses to RFP/ client requirements Assist in products demonstration and receive feedback from the client Design presentations for seminars, meetings and enclave primarily focused over product Team Management Resourcing Forecast talent requirements as per the current and future business needs Hire adequate and right resources for the team Talent Management Ensure adequate onboarding and training for the team members to enhance capability & effectiveness Build an internal talent pool and ensure their career progression within the organization Manage team attrition Drive diversity in leadership positions Performance Management Set goals for the team, conduct timely performance reviews and provide constructive feedback to own direct reports Ensure that the Performance Nxt is followed for the entire team Employee Satisfaction and Engagement Lead and drive engagement initiatives for the team Track team satisfaction scores and identify initiatives to build engagement within the team Mandatory Skills: AI Cognitive . Experience: 5-8 Years . >

At EY, you are part of a globally connected powerhouse of diverse teams that is dedicated to shaping your future with confidence. As a Senior in AI Enabled Automation focusing on Power Apps, you will have the opportunity to work with cutting-edge technologies and contribute to building a better working world. You will be responsible for leveraging your strong Power Platform skills to develop solutions in the process automation space, including RPA, AI/ML, Cognitive, Conversational Chat, and Gen AI. It is essential to have a clear understanding of model-driven apps, Dataverse, business process flows, canvas apps, power pages, Power Automate digital flows, and Power Automate desktop. You will also be expected to have basic knowledge of Power BI, AI concepts using AI builder and Co-Pilot studio, Dataverse security and automation concepts, environment management, and database knowledge of at least one RDBMS product. Additionally, you will collaborate with Architects and customers to understand business processes and system requirements, design Power platform solutions independently, and develop solutions using a combination of automation technologies. In this role, you must hold the PL 400 certification as an Advanced developer in Power Platform and have hands-on experience in Power Platform implementations, Agile methodologies, working with JSON, XML & RESTful API, object-oriented programming languages, and external integrations. Knowledge of RPA and DevOps tooling is desirable, along with excellent written and verbal communication skills. At EY, we look for individuals with commercial acumen, technical experience, and a willingness to learn in a fast-moving environment. You will have the opportunity to be part of a market-leading team of professionals and work with EY Advisory practices globally across various industries. Working at EY offers a dynamic environment where you can work on inspiring and meaningful projects, receive support and coaching, develop new skills, and progress in your career. You will have the freedom and flexibility to shape your role according to your preferences and be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Join EY and be a part of a team that is dedicated to building a better working world through innovation, trust, and collaboration across a wide range of services and sectors.,

Job Description Generative AI Specialist About the Role We are seeking innovative, enthusiastic, and versatile AI professionals to join our global team as Generative AI Specialists . In this role, you will drive transformation across the ITeS/BPO industry , working on complex projects that blend strategic business insights with advanced data science techniques . By leveraging Generative AI and Conversational AI, you will help our business and clients unlock maximum value from data and transform day-to-day BPO operations. Key Responsibilities Research and develop cutting-edge AI methodologies and Generative AI techniques for applications across the BPO value chain. Collaborate with cross-functional and cross-organizational teams to design, implement, and scale AI/ML concepts . Lead AI/ML adoption initiatives across the company through training, awareness, and capability-building programs . Stay ahead of the latest advancements in data science, Generative AI and NLP , applying insights to solve real business challenges. Build and strengthen collaborations with industry and academic partners to drive innovation and leverage external expertise. Document methodologies, tools, and processes, and present findings and solutions to stakeholders across the organization. Required Skills & Qualifications 8+ years of experience with a strong focus on Generative AI solutions and their scalable applications (including RAG, AI Agents, Lang Graph or similar frameworks). Bachelors/Masters degree in Computer Science, Engineering, Mathematics, Physics , or a related field (or equivalent experience). Strong proficiency in Python , with hands-on experience in solution deployment and cloud platforms (AWS, Azure). Proven expertise in Generative AI, NLP, and advanced data science techniques , with the ability to translate complex business needs into AI-driven solutions. Excellent analytical, problem-solving, and presentation skills , with the ability to work effectively in global, multidisciplinary teams . Strong customer orientation, interpersonal skills, open-mindedness and a continuous learning mindset.

About The Role Skill required: Insight Engine - Analytics Insights Designation: Analytics and Modeling Analyst Qualifications: Any Graduation Years of Experience: 3 to 5 years About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com What would you do? We are seeking a Machine Learning Data Scientist with 2 to 3 years of hands-on experience to join our growing Insights and Analytics team. The ideal candidate will be proficient in building ML models using supervised and unsupervised learning techniques, comfortable working with Python-based ML libraries, and experienced in data preparation workflows. Familiarity with Microsofts AI/ML ecosystem is a strong advantage. What are we looking for? Preferred (Strong Advantage):Hands-on experience with Azure Machine Learning Studio and Automated ML.Familiarity with Azure Cognitive Services for vision, language, and decision tasks.Experience working with Microsoft Fabric and Synapse ML integration. Qualifications:Bachelor s or Masters degree in Computer Science, Data Science, Engineering, or related field.23 years of experience in applied machine learning and data science projects.Solid understanding of model training, validation, and deployment workflows.Experience working with version control (e.g., Git) and collaborative development environments.Nice to Have:Familiarity with tools that help automate and manage the process of building, testing, and deploying machine learning models (MLOps and CI/CD pipelines).Basic understanding of cloud-based architecture and APIs. Roles and Responsibilities: Develop and implement machine learning models using supervised and unsupervised techniques.Apply appropriate machine learning algorithms for prediction tasks (e.g., linear regression, decision trees, neural networks) and data segmentation (e.g., k-means clustering, hierarchical clustering) based on project needs.Perform data preprocessing, feature engineering, and model evaluation.Use Python libraries such as scikit-learn, TensorFlow, and others to build and test models.Analyse and manipulate structured datasets using notebooks (e.g., Jupyter).Collaborate with data engineers, analysts, and product teams to translate business problems into ML solutions.Document model performance, data flows, and process pipelines. Qualification Any Graduation

About The Role Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Microsoft Azure OpenAI Service Good to have skills : NA Minimum 12 year(s) of experience is required Educational Qualification : BEBTECHMTECH Summary :As an Application Lead, you will be responsible for leading the effort to design, build, and configure applications using Microsoft Azure OpenAI Service. Your typical day will involve collaborating with cross-functional teams, managing project timelines, and ensuring the successful delivery of high-quality applications. Roles & Responsibilities:A.Lead the design, development, and deployment of applications using Microsoft Azure OpenAI Service, Azure AI Search-Cognitive Search, Azure Language Services-CLU, Microsoft Bot Framework,Microsoft Power Virtual Agents-Microsoft Copilot Studio and Azure PaaS.B.Act as the primary point of contact for the project, collaborating with cross-functional teams to ensure project timelines are met.C.Ensure the successful delivery of high-quality applications, adhering to best practices and industry standards.D.Provide technical guidance and mentorship to team members, fostering a culture of continuous learning and growth.E.Stay updated with the latest advancements in Azure components, Microsoft Azure OpenAI Service, Azure AI Search-Cognitive Search and Azure Language Services-CLU integrating innovative approaches for sustained competitive advantage. Professional & Technical Skills: A.Must Have Skills: Strong architectural experience with Microsoft Azure OpenAI Service, Azure AI Search-Cognitive Search, Azure Language Services-CLU and Azure PaaS.B.Must Have Skills: At least 1+ year hands on experience in Azure based LLMs with knowledge in embeddings, vectorization and semantic, vector based indexing and search.C.Must to Have Skills: Experience with conversational AI with Microsoft Bot Framework or Power Virtual Agents,Microsoft Copilot Studio. Should know how multiple components integrate with each other in an enterprise application.D.Must Have Skills: Strong understanding of software development best practices including Agile methodologies and industry standards with special focus on API, function app and logic app building. Experience with Python or C hash programming language, using Visual Studio Code IDE and Azure AI Studio.E.Good To Have Skills: Knowledge of other vector databases, Knowledge Graphs, LangChain, Semantic Kernel.F.Good To Have Skills: Experience with deployment of applications and containerization technologies such as Docker or Kubernetes.G.Good To Have Skills: Experience with all Azure AI services like Video Indexer, Computer Vision, Custom Vision, Document Intelligence, Custom QnA, Speech Services and Prompt Engineering.H.Experience with database technologies such as SQL Server, Cosmos DB and Oracle.I.Solid grasp of software testing and quality assurance principles.J.Knowledge of DevOps practices. Additional Information:- The candidate should have a minimum of 12 years of experience in software development.- The ideal candidate will possess a strong educational background in computer science or a related field, along with a proven track record of delivering impactful solutions.- This position is based at our Bengaluru office. Qualification BEBTECHMTECH

You will be joining KPMG Global Services as a Senior in Technology Risk Management within the Consulting practice. Your main responsibilities will include assisting in the planning and execution of activities related to risk, control, compliance, and internal audit client engagements across various IT areas such as IT strategy, governance, operations, cybersecurity, data management, emerging technology, and more. You will review clients" IT processes, risk, controls, and compliance against industry standards, identify gaps, and communicate issues and recommendations to engagement leads. Collaboration with client project managers to assess, design, and implement new IT risk and control frameworks, sustainable solutions, operating processes, and people models will be a crucial part of your role. You will be expected to draft executive summaries and reports for clients, as well as document and review engagement workpapers following KPMG requirements. Your mandatory qualifications include a BE/B-Tech/MCA/BSc-IT/MBA degree. Additionally, you should possess 4-6 years of experience in internal audit, IT risk, or IT compliance function, either as an internal employee or with a professional services firm. A Bachelor's degree from an accredited institution or equivalent work experience is required, with certifications such as CISA, PMP, CISSP, or CRISC preferred. Familiarity with IT audit, control, and risk consulting engagements, as well as proficiency in IT governance frameworks like COBIT, NIST CSF, NIST 800-53, and ITIL, is essential. Moreover, you should have experience in implementing IT risk and internal control processes, executing projects following project management principles, and possess strong leadership, communication, and technical skills. Your ability to write at a publication quality level to effectively communicate findings and recommendations to clients and senior management is crucial for this role.,

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Microsoft BOT Framework Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : BE/B-Tech/M-Tech Project Role :Application Lead Project Role Description :Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have Skills :Microsoft BOT FrameworkGood to Have Skills :No Technology SpecializationJob :Key Responsibilities :AGood knowledge on Cognitive AI concepts and Microsoft Azure PaaSBStrong debugging and analytical skillsCPrior knowledge of Azure ML is an added advantageDGood team and tech management experience Technical Experience :AProgramming skills :a6-7 years of strong experience on Microsoft Azure, ASPNET / MVC and general purpose programming languages such as C/VBNETbMinimum 12 months of experience in developing applications using MS Cognitive Services such as LUIS or conversational language understanding CLU, Language APIscMS Bot Framework Mandatory Skill Flex can be MS BOT Framework SDK, Cshp, netBDatabase management - aSQL Server, Cosmo DBbSQL knowledgeCDevOps - Knowledge of automation and deploy Professional Attributes :AShould have strong problem-solving and Analytical skills BGood Communication skills CAbility to work independently with little supervision or as a team DShould be able to work and deliver under tight timelines ECandidate should have good analytical skills Educational Qualification:BE/B-Tech/M-TechAdditional Info : Qualification BE/B-Tech/M-Tech

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Microsoft BOT Framework Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : BE/B-Tech/M-Tech Project Role :Application Lead Project Role Description :Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have Skills :Microsoft BOT FrameworkGood to Have Skills :No Technology SpecializationJob :Key Responsibilities :AGood knowledge on Cognitive AI concepts and Microsoft Azure PaaSBStrong debugging and analytical skillsCPrior knowledge of Azure ML is an added advantageDGood team and tech management experience Technical Experience :AProgramming skills :a6-7 years of strong experience on Microsoft Azure, ASPNET / MVC and general purpose programming languages such as C/VBNETbMinimum 12 months of experience in developing applications using MS Cognitive Services such as LUIS or conversational language understanding CLU, Language APIscMS Bot Framework Mandatory Skill Flex can be MS BOT Framework SDK, Cshp, netBDatabase management - aSQL Server, Cosmo DBbSQL knowledgeCDevOps - Knowledge of automation Professional Attributes :AShould have strong problem-solving and Analytical skills BGood Communication skills CAbility to work independently with little supervision or as a team DShould be able to work and deliver under tight timelines ECandidate should have good analytical skills Educational Qualification:BE/B-Tech/M-TechAdditional Info : Qualification BE/B-Tech/M-Tech

About The Role As a Machine Learning Engineer, youll have the opportunity to work alongside industry experts researching, developing, and applying cutting-edge machine learning and artificial intelligence algorithms to build innovative technologies, services, and products that solve the company's hardest problems and accelerate Customers core growth. In this role you will combine your software engineering skills and interest in ML and AI to productionize ML models on GCP. You will build reusable tools and components to enable codeless deployments of ML modeling pipelines. Your work will unleash the next generation of customer experiences and transform the way that we operate day-to-day. We're seeking a talented Machine Learning Engineer to join our team and you'll be responsible for developing and deploying ML models that personalize product recommendations and deliver the right products at the right time. What you'll do: Deploy ML models to GCP Design and implement batch pipelines and real-time microservices for millions of ecommerce customers. Personalize the shopping experience: Utilize cutting-edge models to predict customer preferences and recommend relevant products. Collaborate with cross-functional teams Partner with product and engineering teams to integrate ML solutions seamlessly. Optimize performance: Leverage best practices like multi-region deployment, traffic splitting, and autoscaling to ensure the efficiency of online model endpoints in Seldon. Monitor and debug models in production: Identify and resolve issues to maintain the quality of our ML systems. What you'll bring: 4-6 years of experience in Machine Learning Engineering. Must have Strong Python skill set with adequate SQL knowledge. Deep understanding of the Model Deployment Lifecycle, including training and serving pipelines. Familiarity with ML workflows such as Kubeflow, Airflow, MLFlow, or Argo. Experience with model monitoring, debugging, latency optimization, and online inference integration. Bonus points for exposure to PyTorch, TensorFlow, GCP/AWS, and recommendation/ranking models. Mandatory Skills: AI Cognitive . Experience5-8 Years . Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

-Exp. in GEN AI GEN AI Development. -Exp. in Python, Deep Learning, LLM, Langchain, RAG Skills -Exp. in GCP or any cloud. Mandatory Skills: AI Cognitive .Experience: 5-8 Years .

Role Purpose The purpose of this role is to prepare test cases and perform testing of the product/ platform/ solution to be deployed at a client end and ensure its meet 100% quality assurance parameters. Do Instrumental in understanding the test requirements and test case design of the product Authoring test planning with appropriate knowledge on business requirements and corresponding testable requirements Implementation of Wipro's way of testing using Model based testing and achieving efficient way of test generation Ensuring the test cases are peer reviewed and achieving less rework Work with development team to identify and capture test cases, ensure version Setting the criteria, parameters, scope/out-scope of testing and involve in UAT (User Acceptance Testing) Automate the test life cycle process at the appropriate stages through vb macros, scheduling, GUI automation etc To design and execute the automation framework and reporting Develop and automate tests for software validation by setting up of test environments, designing test plans, developing test cases/scenarios/usage cases, and executing these cases Ensure the test defects raised are as per the norm defined for project / program / account with clear description and replication patterns Detect bug issues and prepare file defect reports and report test progress No instances of rejection / slippage of delivered work items and they are within the Wipro / Customer SLA's and norms Design and timely release of test status dashboard at the end of every cycle test execution to the stake holders Providing feedback on usability and serviceability, trace the result to quality risk and report it to concerned stakeholders Status Reporting and Customer Focus on an ongoing basis with respect to testing and its execution Ensure good quality of interaction with customer w.r.t. e-mail content, fault report tracking, voice calls, business etiquette etc On time deliveries - WSRs, Test execution report and relevant dashboard updates in Test management repository Updates of accurate efforts in eCube, TMS and other project related trackers Timely Response to customer requests and no instances of complaints either internally or externally Mandatory Skills: AI Cognitive . Experience: 3-5 Years .

Role Purpose The purpose of this role is to develop minimum viable product (MVP) and comprehensive AI solutions that meet and exceed clients expectations and add value to business. Do Manage the product/ solution development using the desired AI techniques Lead development and implementation of custom solutions through thoughtful use of modern AI technology Review and evaluate the use cases and decide whether a product can be developed to add business value Create the overall product development strategy and integrating with the larger interfaces Create AI models and framework and implement them to cater to a business problem Draft the desired user Interface and create AI models as per business problem Analyze technology environment and client requirements to define product solutions using AI framework/ architecture Implement the necessary security features as per products requirements Review the used case and see the latest AI that can be used in products development Identify problem areas and perform root cause analysis and provide relevant solutions to the problem Tracks industry and application trends and relates these to planning current and future AI needs Create and delegate work plans to the programming team for product development Interact with Holmes advisory board for knowledge sharing and best practices Responsible for developing and maintaining client relationships with the key strategic partners and decision makers Drive discussions and provide consultation around product design as per customer needs Participate in client interactions and gather insights regarding product development Interact with vertical delivery and business teams and provide and correct responses to RFP/ client requirements Assist in products demonstration and receive feedback from the client Design presentations for seminars, meetings and enclave primarily focused over product Team Management Resourcing Forecast talent requirements as per the current and future business needs Hire adequate and right resources for the team Talent Management Ensure adequate onboarding and training for the team members to enhance capability & effectiveness Build an internal talent pool and ensure their career progression within the organization Manage team attrition Drive diversity in leadership positions Performance Management Set goals for the team, conduct timely performance reviews and provide constructive feedback to own direct reports Ensure that the Performance Nxt is followed for the entire team Employee Satisfaction and Engagement Lead and drive engagement initiatives for the team Track team satisfaction scores and identify initiatives to build engagement within the team Mandatory Skills: AI Cognitive . Experience: 5-8 Years .

Preferred Qualifications: Experience in AI/ML in the healthcare sector Experience working with cross-functional and distributed teams in a global and diverse environment Experience in establishing AI/ML best practices, standards, RUAI, and ethics Required Qualifications: Proven solid Python programming skills and experience with deep learning popular frameworks such as PyTorch Proficiency in SQL and other programming languages for data analysis and modeling Proficiency with cloud development environments such as Azure, AWS, and GCP Proven in-depth knowledge in Generative AI technology and Large Language Models (LLM) Experience with LLM frameworks and/or NLP approaches such as text embedding Experience working on collaborative software projects using GitHub Proven solid technical communication skills Experience with both traditional machine learning algorithms and modern deep learning and generative AI models Proven good knowledge of GPU use, and the ability to rapidly set up pipelines for testing new ideas Proven excellent analytical and problem-solving skills, including the ability to disaggregate issues, identify root causes, and recommend solutions Skill Set; NLP, NLU, NLI, Transformers, Attention, GPT, Llama, Mistral, Model Quantization, Model Optimization, Retrieval & Ranking, RAG, RAGAS Statistics, Machine Learning Models, Model Deployment Proven excellent communication, writing, and presentation skills Proven advanced understanding of Deep Learning with applications in Time series Processing, NLP, and multimodal modeling Mandatory Skills: AI Cognitive .Experience: 5-8 Years .

Requirements: Early developmental screening knowledge Assessment & evaluation skills (motor, cognitive, sensory) Intervention planning for at-risk individuals Patient and family education Strong observation & analytical skills Documentation & reporting (EMR use) Interdisciplinary teamwork Communication & counseling skills Adaptability & cultural sensitivity Knowledge of referral systems & community resources

Requirements: Early developmental screening knowledge Assessment & evaluation skills (motor, cognitive, sensory) Intervention planning for at-risk individuals Patient and family education Strong observation & analytical skills Documentation & reporting (EMR use) Interdisciplinary teamwork Communication & counseling skills Adaptability & cultural sensitivity Knowledge of referral systems & community resources

Requirements: Early developmental screening knowledge Assessment & evaluation skills (motor, cognitive, sensory) Intervention planning for at-risk individuals Patient and family education Strong observation & analytical skills Documentation & reporting (EMR use) Interdisciplinary teamwork Communication & counseling skills Adaptability & cultural sensitivity Knowledge of referral systems & community resources

We are seeking a qualified CBT practitioner to support either employee mental health , assist in developing mental-health-aware game content , or provide guidance for players interacting with sensitive themes in our games. This is a unique opportunity to apply clinical expertise in a creative and evolving industry. Key Responsibilities Consult on game content that explores psychological themes, ensuring accurate and sensitive portrayals of mental health. A Qualified CBT Expert for a Psychometric Gaming Company Work with writers, narrative designers, and UX teams to integrate CBT principles into interactive experiences or therapeutic games. Support research and validation for games with therapeutic claims or wellness goals. Help build features that promote healthy digital habits and emotional regulation for players. Guide support teams in handling player interactions involving mental health disclosures. Develop escalation procedures and referral resources for players in distress. Collaborate on content moderation strategies to maintain emotionally safe in-game and community environments. Qualifications & Experience Accredited CBT Therapist (e.g., BABCP accreditation or equivalent). Minimum of 2 years post-qualification experience. Experience working with young adults or individuals in high-performance/creative industries is a plus. Passion for gaming or understanding of the gaming culture and its psychological impacts. Comfortable working in interdisciplinary teams (designers, writers, engineers, HR, etc.). Excellent interpersonal, communication, and boundary-setting skills. Preferred Skills Experience with digital therapy tools, teletherapy, or digital wellbeing platforms. Knowledge of trauma-informed care, neurodiversity, or positive psychology. Familiarity with narrative design or interactive storytelling (for product-focused roles). Ability to contribute to mental health policies or wellness strategy. What We Offer Competitive salary and benefits. Flexible working hours and remote/hybrid options. Opportunities to contribute meaningfully to mental health in digital spaces. A collaborative, open-minded team that values wellbeing and creativity. Interested Candidates can reach out to us through Call - Would be happy talking to you (or) WhatsApp @ 9940639536 (or) mail us your CV to people@mehtahospital.com.