263 Ai Techniques Jobs - Page 10

Company Overview : We are a fully automated, high-efficiency modern textile mill with annual revenues exceeding 300 Crores. Our operations are powered by advanced ERP, IoT, AI, and Power BI systems to ensure real-time optimization of quality, productivity, and energy. We follow a digital-first, professionally managed model with lean staffing and industry-leading asset productivity Role Summary : The Digital Systems Manager will oversee the implementation, integration, and continuous improvement of digital technologies across our manufacturing and business operations. This role is critical to driving operational excellence through data-driven insights, automation, and seamless system integration Role & responsibilities : System Integration & Optimization Manage and continuously improve the integrated ERP, IoT, AI, and Power BI platforms across production, quality, inventory, and energy systems. Ensure end-to-end digital connectivity from shop floor sensors to management dashboards. Data & Analytics Leadership Develop and maintain real-time dashboards for performance monitoring using Power BI. Identify trends and drive actions based on predictive analytics, anomaly detection, and KPIs. Process Automation & Digitalization Lead automation initiatives to improve production efficiency, reduce downtime, and enhance quality control. Collaborate with process engineers to digitize manual operations and reduce paper-based workflows. Cross-functional Collaboration Work closely with Production, Quality, Maintenance, and Finance teams to ensure digital tools meet functional needs. Act as a digital transformation champion, training and enabling teams to adopt digital tools effectively. System Security & Reliability Ensure robust data integrity, system uptime, and cybersecurity across digital platforms Coordinate with IT teams/vendors for system updates, troubleshooting, and performance optimization. Qualifications : Bachelors or Masters Degree in Engineering, Computer Science, or a related technical field. 10+ years of experience in managing digital systems, preferably in a manufacturing or textile environment. Strong hands-on experience with: ERP systems ( SAP, Microsoft Dynamics, or custom ) IoT platforms for factory automation AI/ML models for predictive maintenance or quality control Power BI or equivalent BI tools Working knowledge of Microsoft Azure , including IoT Hub, Power BI integration, Azure Active Directory, and cloud monitoring. Proven track record in implementing digital transformation initiatives and automation. Strong analytical, project management, and communication skills. Preferred Skills : Knowledge of lean manufacturing and Six Sigma principles. Experience with MES (Manufacturing Execution Systems). Exposure to energy monitoring and optimization platforms. Experience working with PLC/SCADA integrations or Industry 4.0 frameworks

Job TitleStatistical Analytics Engineer (F/M/D) Experience7+ Years LocationBangalore Notice PeriodImmediate Joiners or Maximum 15 Days Role Over viewJoin our innovative team to drive data-powered advancements in chemistry and materials science As a Statistical Analytics Engineer, youll apply advanced statistical methods, AI, and data science to develop intelligent solutions, enhance process automation, and foster innovation across interdisciplinary teams. Key Responsibilities Lead analytics initiatives leveraging AI, statistical modeling, and data science within KLs technical and scientific domains Design, operationalize, and optimize scalable data pipelines and analytical products Partner with domain experts to innovate data-driven methodologies and tools Prioritize incoming data-related requests by evaluating effort versus impact Develop and automate analytical workflows using statistical techniques Drive cross-functional collaborations and external partner projects Continuously update your skillset through training and contribute to internal knowledge sharing Mentor and support teams in adopting data tools and maintaining data quality standards Qualifications Masters degree or equivalent in Engineering, Chemistry, Physics, or a related field 7"“10 years of experience in data modeling, statistical analysis, and data visualization in manufacturing or industrial environments Proficiency in Python, SQL, and tools such as JupyterLab, GitLab, Airflow, and MLflow Strong expertise in cheminformatics, materials informatics, and generative AI techniques Hands-on experience with interactive application frameworks like Shiny, Dash, or Streamlit In-depth understanding of chemical analysis and organic chemistry Show more Show less

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. At Optum AI, we leverage data and resources to make a significant impact on the healthcare system. Our solutions have the potential to improve healthcare for everyone. We work on cutting-edge projects involving ML, NLP, and LLM techniques, continuously developing and improving generative AI methods for structured and unstructured healthcare data. Our team collaborates with world-class experts and top universities to develop innovative AI/ML solutions, often leading to patents and published papers. Primary Responsibilities Develop and implement AI and machine learning strategies for several healthcare domains Collaborate with cross-functional teams to identify and prioritize AI and machine learning initiatives Develop and run pipelines for data ingress and model output egress Develop and run scripts for ML model inference Design, implement, and maintain CI/CD pipelines for MLOps and DevOps functions Identify technical problems and develop software updates and fixes Develop scripts or tools to automate repetitive tasks Automate the provisioning and configuration of infrastructure resources Provide guidance on the best use of specific tools or technologies to achieve desired results Create documentation for infrastructure design and deployment procedures Utilize AI/ML frameworks and tools such as MLFlow, TensorFlow, PyTorch, Keras, Scikit-learn, etc. Lead and manage AI/ML teams and projects from ideation to delivery and evaluation Apply expertise in various AI/ML techniques, including deep learning, NLP, computer vision, recommender systems, reinforcement learning, and large language models Communicate complex AI/ML concepts and results to technical and non-technical audiences effectively Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications Bachelor's degree or higher in computer science engineering with a focus on language processing 8+ years of experience in Software Engineering, Data Science, or Analytics with 4+ years of experience in AI/ML engineering or related fields Experience in developing solutions in the NLP space and relevant projects Hands on Experience in AI and drive the development of innovative AI and machine learning solutions Experience with cloud platforms and services, such as AWS, Azure, GCP, etc. Experience with DevOps and CI/CD tools and practices, such as Git, Jenkins, Docker, Kubernetes, etc. Experience with Azure development environments Experience with using and deploying LLMs Knowledge of NLP literature, thrust areas, conference venues, and code repositories Familiarity with both open-source and OpenAI LLMs and RAG architecture Familiarity with UI tools like Streamlit, Flask, FAST APIs, Rest APIs, Docker containers Understanding of common NLP tasks such as text classification, entity recognition, entity extraction, and question answering. Proficiency in multiple machine learning and AI techniques such as supervised, unsupervised, reinforcement learning, deep learning, and NLP Proficient in Python and one of PySpark. Familiarity with python tools for data processing Proficiency in libraries such as Hugging Face and OpenAI API Proficiency in Python, R, or other programming languages for data analysis and AI/ML development Proven ability to develop and deploy data pipelines, machine learning models, or applications on cloud platforms (Azure, Databricks, AzureML) Proven excellent analytical and problem-solving skills, including the ability to disaggregate issues, identify root causes, and recommend solutions Proven hands-on skills with repository management and GPU use, and the ability to rapidly set up NLP pipelines for testing new ideas At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission.

About Deccan Founders: Deccan Founders is South Indias emerging voice in startup and business journalism. We're on a mission to tell impactful stories in modern formats—text, video, and AI-generated visual content. If you're excited about startups, new media, and the future of AI-driven storytelling, come build with us. Role Overview: We’re looking for a creative and motivated Video Editor who’s eager to push the boundaries of content creation using AI tools. From traditional editing to experimenting with avatar-based videos and AI-enhanced storytelling, you’ll play a key role in how we visually communicate stories about startups and innovation in the region. Key Responsibilities: Video Editing: Edit short-form and long-form videos for YouTube, Instagram, and web, ensuring high visual quality and strong storytelling. AI Video Creation: Use tools like Runway ML, HeyGen, Synthesia , or Pika Labs to create avatar-driven and AI-enhanced videos. Creative Scripting & Assembly: Work with the content and editorial team to align visuals with the script and overall story arc. Adapt to Trends: Stay updated with the latest content trends, video styles, and AI tools in the market. Fast Turnaround: Deliver edited videos under tight deadlines while maintaining quality and consistency. Experiment & Innovate: Be willing to test out new formats, styles, and tools to find better ways of engaging audiences. Requirements: 3 months to 2 years of hands-on video editing experience Proficiency with tools like Adobe Premiere Pro, Final Cut Pro, CapCut , or similar Willingness to learn and use AI tools for video generation (e.g. Runway ML, HeyGen, Pika, Synthesia, etc.) Creativity, attention to detail, and a solid sense of visual storytelling Ability to work full-time from our Hyderabad office (Work From Office is mandatory) Immediate joiners preferred Bonus If You Have: Prior experience with avatar-based or AI-generated video workflows Knowledge of motion graphics or animation A portfolio showcasing modern, fast-paced editing for digital platforms Why Join Deccan Founders? Be part of a fast-growing media startup focused on startups and business innovation Get hands-on exposure to the latest AI tools reshaping the content industry Work in a young, energetic, and creative newsroom Make real impact with stories that matter

Job Description: We are seeking a highly motivated and skilled AI Developer to join our dynamic team. The ideal candidate should have hands-on experience in designing, developing, and deploying AI and machine learning models to solve real-world problems. You will work closely with data scientists, software engineers, and product teams to build intelligent applications. Key Responsibilities: Design and develop AI/ML models based on business requirements Preprocess and analyze structured and unstructured data Implement Deep Learning and NLP algorithms using frameworks like TensorFlow, PyTorch, and Scikit-learn Collaborate with software engineers to integrate models into production environments Build and optimize pipelines for data ingestion, model training, and inference Monitor model performance and retrain as needed Research and implement state-of-the-art algorithms Create dashboards or front-end demos using Streamlit or similar tools (optional) Key Skills Required: Programming: Python (Must), R (Optional), Java (Good to have) AI/ML: TensorFlow, PyTorch, Keras, Scikit-learn Data Science: Pandas, NumPy, Matplotlib, Seaborn NLP: Hugging Face Transformers, NLTK, SpaCy Computer Vision: OpenCV, YOLO, CNNs Model Deployment: Flask, FastAPI, Docker, AWS/Azure/GCP Databases: SQL, MongoDB, Firebase (optional) Version Control: Git, GitHub Preferred Qualifications: Bachelors or Master’s degree in Computer Science, AI, Data Science, or related field Strong mathematical foundation in statistics, linear algebra, and probability Excellent problem-solving skills and attention to detail Strong communication and teamwork skills Why Join Us? Work on cutting-edge AI solutions Collaborative and inclusive work environment Opportunity to grow in a fast-paced tech-driven organization Exposure to real-world enterprise and consumer AI applications

Pradisys Technologies is looking for AI/GenAI Solution Architect to join our dynamic team and embark on a rewarding career journey. We are looking for an AI/GenAI Solution Architect to lead the design and implementation of cutting-edge AI solutions. Strong expertise in AI technologies, solution design, and machine learning is essential.

COMPANY OVERVIEW : We are a fully Automated High-Efficiency modern Textile mill producing over $ 300 crore in Annual revenue with integrated ERP, IoT, AI and Power BI systems for real time Quality, Productivity and Energy Optimization. Our Operational are digital-first and professionally managed with lean staffing and high asset productivity. Key Responsibilities : System Coordination : Serve as the Single Point of Contact for ERP, IoT, AI/ML, and BI vendors. Monitor live dashboards for production, energy, and quality data; escalate deviations as needed. Coordinate system upgrades , planned downtimes, bug fixes, and business change requests with vendors. Data Analytics & AI Oversight : Operate and maintain AI dashboards and alerts related to Predictive Maintenance, Quality, Yield and Energy Efficiency . Evaluate and assess alternative AI/Data Analytics platforms proposed by vendors, ensuring alignment with business goals. Interpret AI-generated insights for operations teams and facilitate cross-departmental adoption . Ensure accuracy, automation , and utilization of BI reports (e.g., Power BI) in decision-making processes. Validate AI model outputs against production KPIs and real-world outcomes. User Management & IT Oversight: Manage user access , role-based permissions , and report delivery scheduling . Provide basic IT support or liaise with vendors to resolve system outages, RFID tagging issues and downtimes. Ensure secure and continuous operation of IoT gateways and system integrations. Compliance & Documentation: Maintain SOPs for digital system workflows. Enforce data integrity, privacy, and security policies across all digital systems. Maintain comprehensive documentation and knowledge continuity for all deployed AI and data analytics tools. Required Skills & Qualifications : Bachelors Degree in Engineering, Computer Science, IT , or a related technical field. Minimum 8 years' experience in manufacturing environments involving ERP, IoT and automation systems . Strong command of Power BI , basic SQL , MS Office , and other digital reporting tools. Hands-on experience working with or validating AI/ML-driven analytics in production settings. Proficiency in interpreting machine-generated data , KPIs, and conducting root cause analysis. Excellent coordination, problem-solving, and communication skills. Preferred Qualifications: Experience with Microsoft Dynamics 365, SAP , or Odoo . Familiarity with textile manufacturing processes . Experience managing external system integrators or AI vendors . Working knowledge of Microsoft Azure , including IoT Hub, Power BI integration, Azure Active Directory, and cloud monitoring. Ability to evaluate and implement alternative data analytics tools and manage vendor transitions effectively. Key Performance Metrics (KRA) : 99.5% uptime across ERP, IoT, and AI/BI dashboards. Timely resolution of system incidents and escalations (internal and external). High accuracy and adoption of BI reports by department heads. Measurable productivity improvements from AI-driven recommendations (evaluated quarterly). Sustained validation and continuity of AI/analytics systems implemented by external vendors.

Job Title: Part-Time Data Scientist (Contract) Location: Gurgaon Experience Required: 6+ years Job Description: We are seeking an experienced and highly skilled Data Scientist/AI Developer for a part-time, contract-based position in Gurgaon. The ideal candidate will have extensive experience in Generative AI , Deep Learning applications, and Conversational AI systems , with a focus on creating innovative solutions using cutting-edge technologies. We are looking for a professional who can not only deliver exceptional results but also mentor team members, guide junior professionals, and help build and grow our AI/ML practice to new heights. Key Responsibilities: Develop and deploy advanced conversational AI systems and chatbots using the RASA framework . Integrate Large Language Models (LLMs) and Retrieval-Augmented Generation (RaG) techniques to enhance chatbot capabilities. Design and implement AI-driven solutions that align with client objectives, ensuring seamless performance and functionality. Build and optimize natural language processing models, including intent recognition , slot filling , and entity recognition . Collaborate with cross-functional teams to deliver scalable, cloud-based deployments and CRM integrations, such as Salesforce. Utilize frameworks and tools like LangChain , Google Dialogflow , OpenAI (LLaMA, GPT) , and Whisper ASR for efficient AI development. Leverage expertise in Prompt Engineering , Transformers , and advanced Natural Language Understanding (NLU) for robust AI system development. Employ containerization and deployment technologies like Docker and Kubernetes for streamlined development workflows. Required Skills & Qualifications: Programming Languages: Expert in Python. AI/ML Frameworks: Proficient in RASA, Google Dialogflow, IBM Watson, OpenAI tools (LLaMA, GPT), and LangChain. Natural Language Processing: Strong expertise in Transformers, Intent Recognition, Slot Filling, and Entity Recognition. Generative AI: Proven experience with LLMs and Retrieval-Augmented Generation (RaG). Tools & Technologies: Familiarity with Docker, Kubernetes, Git, and Whisper ASR. CRM Integration: Hands-on experience with Salesforce integration. Other Skills: Prompt Engineering, Cloud-based Deployments, and Bot Frameworks. Experience: Minimum 6 years of professional experience in AI, ML, and Conversational AI systems. Demonstrated ability to deliver innovative AI solutions tailored to business needs.

5+ years of strong hands-on experience in Python programming 2+ years of experience working with AI tools and technologies Successfully delivered 2–3 AI implementation projects or use cases

Key Responsibilities: Lead and manage DevOps, AI-assisted development, and software engineering projects to ensure timely and high-quality delivery. Utilize AI-powered development tools like Cursor.AI, GitHub Copilot, and Tabnine to enhance code building, debugging, and automation. Oversee the implementation of CI/CD pipelines, cloud infrastructure automation, and security best practices. Work with cross-functional teams to define project scope, establish timelines, and mitigate risks. Ensure seamless integration of AI-assisted tools into software development and DevOps workflows. Develop and enforce best practices for API development, testing, and microservices architecture. Implement AI-driven automation strategies for software delivery and infrastructure management. Monitor system performance and manage cloud-based and on-premise infrastructure (AWS, Azure, GCP). Track and optimize team performance using agile methodologies and project management tools (JIRA, Trello, Asana). Proven experience in technical project management for DevOps and software development teams. Hands-on experience with AI-driven coding tools (Cursor.AI, GitHub Copilot, Tabnine, CodeWhisperer, etc.) for code generation, debugging, and automation. Strong understanding of CI/CD pipelines, cloud platforms, and DevOps best practices. Experience in PHP (CodeIgniter, Laravel), JavaScript (Node.js, React, Vue.js), and Python. Expertise in API development, microservices, and cloud-native architectures. Familiarity with containerization (Docker, Kubernetes) and Infrastructure as Code (Terraform, Ansible, Pulumi). Strong leadership, communication, and problem-solving skills. Ability to manage multiple AI-integrated projects in a fast-paced environment. Preferred Qualifications: Experience in AI and Machine Learning integration. Knowledge of DevSecOps principles and security best practices. Background in database management (MySQL, PostgreSQL, MongoDB). Experience leading teams in a remote or hybrid work environment.

Job Title:GenAI Specialist Experience4-8 Years Location:Bangalore : We are looking for a GenAI specialist withexperience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. Develop and implement AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems preferably in security area. Additionally, expertise in cyber security, data engineering, DevOps, and MLOps practices will be valuable in this role Position Summary Contribute to the design and implementation of state-of-the-art AI solutions. Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI. Collaborate with stakeholders to identify business opportunities and define AI project goals. Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges. Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases. Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities. Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment. Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs. Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs. Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly. Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency. Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases. Ensure compliance with data privacy, security, and ethical considerations in AI applications. Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications. Skills: Minimum 4 years of experience in Data Science and Machine Learning. In-depth knowledge of machine learning, deep learning, and generative AI techniques. Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch. Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models. Familiarity with computer vision techniques for image recognition, object detection, or image generation. Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment. Expertise in data engineering, including data curation, cleaning, and preprocessing. Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems. Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models. Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions. Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels. Understanding of data privacy, security, and ethical considerations in AI applications. Track record of driving innovation and staying updated with the latest AI research and advancements. Qualification: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Certification: NA Skills PRIMARY COMPETENCY Information Security PRIMARY Cyber Security for Cloud PRIMARY PERCENTAGE 100

US Shift (8:30 pm to 5:30 AM) Generative AI Developer requirement: Experience using LLM models. Development methodology in AI use cases. Experience on Azure Open AI If interested, please share your resume at simran.agrawal1@elevancesystems.com

Role Summary Drive the strategy, creation and optimisation of mid- and bottom-funnel assets for our website Resource Centre and persona-driven ABM cadences. You will work hands-on inside Zoho Marketing Automation, Zoho Campaigns and Zoho CRM, using leading AI tools (ChatGPT, Jasper, Claude, Surfer SEO, GrammarlyGO, etc.) to speed research, drafting, A/B testing and performance analysis. Key Responsibilities Research, plan and write high-value assets: whitepapers, e-books, industry benchmark reports, case studies, ROI calculators, solution briefs and video scripts. Craft persona-specific email sequences, landing-page copy and micro-assets for 1:1, 1:few and 1:many ABM plays covering Payroll, Core HR, Recruitment, L&D and Performance audiences. Build and iterate nurture journeys in Zoho Marketing Automation; trigger events, personalise content and update lead scores. Leverage generative-AI to ideate angles, draft first versions, refine tone, produce headline / CTA variants and optimise for SEO. Conduct keyword research and on-page SEO for long-form blogs and pillar pages; coordinate publishing with the web team. Interview internal SMEs, customers and analysts to surface thought-leadership insights and data points. Define and track KPIs (downloads, lead-score lift, influenced revenue) in Zoho Analytics; report findings and adjust strategy. Must-Have Skills & Experience 58 years of B2B SaaS content marketing, ideally in HR Tech or enterprise software. Proven success creating assets that convert in an ABM motion. Expert user of the Zoho suite—particularly Marketing Automation, Campaigns and CRM. Hands-on experience employing generative-AI and SEO assistants to accelerate content workflows. Impeccable written English with the ability to turn complex HR & payroll topics into clear, persuasive narratives. Data-driven mindset; comfortable iterating based on engagement metrics and multivariate tests. Nice-to-Have Prior exposure to HRMS / Payroll compliance or HR operations. Experience scripting explainer or customer-story videos. Education Bachelor’s degree in Journalism, Communications, Marketing, English or a related field (Master’s welcome but not mandatory).

we are looking to hire CS to join its Secretarial team. The role promises to be exciting & challenging in equal measure & is ideal for somebody looking to play a pivot role in a growing organization that will have a significant impact.

We are hiring a Python Developer to support and enhance Headstaart’s core backend infrastructure. You will work on high-impact features like real-time analytics, secure document handling, subscription services, and API integration.

Key Responsibilities: School Tuition Fee Management: Oversee accurate and timely processing of student tuition fees, maintain fee records, issue receipts, and coordinate with parents regarding payment schedules and outstanding dues. School Enrolment and Admission Management: Manage the end-to-end admissions process, from handling inquiries and applications to maintaining admission records and coordinating with prospective parents. School Website and Digital Platforms Management: Regularly update and manage the schools website and digital platforms to ensure content is current, engaging, and aligned with the school’s communication goals. Fee Management: Ensure comprehensive oversight of all fee-related operations, including auxiliary fees, refunds, and payment reconciliation, in coordination with the accounts department. Student Portfolio Management: Maintain and organise detailed student records, including academic progress, achievements, assessments, and documentation in a structured and accessible digital format. Teacher Portfolio Management: Maintain teacher records such as certifications, training participation, schedules, and performance documentation to support institutional transparency and planning. Vendor Management: Liaise with vendors and service providers for school-related supplies and services, negotiate contracts, ensure timely deliveries, and maintain accurate vendor records. Event Management: Plan, coordinate, and execute school events in collaboration with staff and external vendors, ensuring logistical efficiency and adherence to school branding and safety protocols. Parent-Teacher Correspondence Management: Serve as the point of contact for formal communication between parents and teaching staff, ensuring clarity, confidentiality, and timely updates on student matters. Qualifications: Bachelor’s or Master’s Degree from a recognised institution. Minimum of 4–5 years of relevant experience in administrative or operations-based roles, preferably within an educational or early childhood setting. Excellent command of both spoken and written English, with the ability to communicate professionally and effectively with staff, parents, and external stakeholders.

Digital Solutions Consultant I - HYD014E Company Worley Primary Location IND-AP-Hyderabad Job Digital Solutions Schedule Full-time Employment Type Agency Contractor Job Level Experienced Job Posting Apr 1, 2025 Unposting Date May 31, 2025 Reporting Manager Title Senior Manager, Applications We deliver the worlds most complex projects. Work as part of a collaborative and inclusive team. Enjoy a varied & challenging role. Building on our past. Ready for the future Worley is a global professional services company of energy, chemicals and resources experts headquartered in Australia. Right now, were bridging two worlds as we accelerate to more sustainable energy sources, while helping our customers provide the energy, chemicals and resources that society needs now. We partner with our customers to deliver projects and create value over the life of their portfolio of assets. We solve complex problems by finding integrated data-centric solutions from the first stages of consulting and engineering to installation and commissioning, to the last stages of decommissioning and remediation. Join us and help drive innovation and sustainability in our projects. The Role As a Digital Solutions Consultant with Worley, you will work closely with our existing team to deliver projects for our clients while continuing to develop your skills and experience etc As a Solution Architect Consultant, you must have completed 2/3 implementation. Sound understanding of product functionality. Understanding of integration between Taleo & Eightfold. Understanding of integration b/w Eightfold & other satellite application. Capable to take call on solution from architecture perspective. Should participate in the design and other project related discussion. About You To be considered for this role it is envisaged you will possess the following attributes Extensive ExperienceProven track record in enterprise solution architecture, with a focus on designing and implementing large-scale, AI-driven solutions within the HR domain. Technical ProficiencyDeep understanding of AI technologies, cloud platforms, and enterprise system integration, with the ability to apply this knowledge to solve complex client challenges. Strategic VisionAbility to align technological solutions with business objectives, guiding clients through digital transformation initiatives to achieve measurable outcomes. Exceptional CommunicationStrong verbal and written communication skills, with the capability to articulate complex technical concepts to non-technical stakeholders and foster collaborative relationships. A bachelor's degree in computer science, information technology, or a related field is typically required. Advanced degrees or relevant certifications in enterprise architecture or AI technologies are highly desirable. Moving forward together We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. Were building a diverse, inclusive and respectful workplace. Creating a space where everyone feels they belong, can be themselves, and are heard. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, theres a path for you here. And theres no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change. Worley takes personal data protection seriously and respects EU and local data protection laws. You can read our full Recruitment Privacy Notice Here. Please noteIf you are being represented by a recruitment agency you will not be considered, to be considered you will need to apply directly to Worley.

Overview At Pepsico were redefining operational excellence with a data-driven mindset, and our Global IT team is at the forefront of this transformation. Our technology teams leverage advanced analytics to deliver predictive insights, enhance operational efficiency, and create unmatched consumer and customer experiences. Our culture is guided by our core values which define our mission to excel in the marketplace and act with integrity in everything we do. Were creating value with every initiative while promoting a sustainable and socially impactful agenda. Responsibilities Key Areas Predictive AI-based Operations ServiceNow Now Assist at Service Desk and Digital Experience Descriptive Analytics and Insights generation on ServiceNow Data Azure Cloud, Data Architecture and Azure ML Services for Global Service Desk, IT Service Management (ITSM) and Global Workplace Leadership & Stakeholder Management Responsibilities Predictive Ops and IT Experience ManagementLeverage your extensive domain expertise in ServiceNow ITSM, Service Desk Management, and End User Experience Management to identify areas for improvement and opportunities for AI and Predictive IT Ops applications, and building capabilities and optimizing Workplace Efficiency Azure Machine LearningLead the exploration and identification of Predictive and Forecasting use cases specifically tailored to the ServiceNow platform, focusing on maximizing business impact and user adoption using Azure stack. Utilize Azure Machine Learning to develop and deploy predictive models, ensuring integration with Azure services and seamless operationalization. Product ManagementPrioritize and manage the Digital Brain (i.e. AI use cases) product backlog, ensuring the timely delivery of predictive models, features, and improvements. Oversee the release of high-quality predictive solutions that meet organizational goals. Leadership and ManagementPartner with the leadership to develop a strategic roadmap for applying AI and Predictive capabilities across ITSM, Service Desk, and Digital Experience functions leveraging ServiceNow data. Stakeholder CollaborationCollaborate extensively with stakeholders to understand pain points and opportunities, translating business needs into precise user stories and actionable tasks. Ensure clear communication and alignment between business objectives and technical implementation Lead other team members in the different digital projects acting as a data science lead for the project. Act as a subject matter expert across different digital projects. Act as stream leader in innovation activities Partner with product managers in taking DS requirements and assessing DS components in roadmaps. Partner with data engineers to ensure data access for discovery and proper data is prepared for model consumption. Lead ML engineers working on industrialization. Coordinate work activities with Business teams, other IT services and as required. Drive the use of the Platform toolset and to also focus on 'the art of the possible' demonstrations to the business as needed. Communicate with business stakeholders in the process of service design, training and knowledge transfer. Support large-scale experimentation and build data-driven models. Experience in cloud-based development and deployment (Azure preferred) Set KPIs and metrics to evaluate analytics solution given a particular use case. Refine requirements into modelling problems. Influence product teams through data-based recommendations. Research in state-of-the-art methodologies. Create documentation for learnings and knowledge transfer. Create reusable packages or libraries. Experience in leading contractors or other team members Qualifications EducationBachelors or Masters degree in computer science, Information Systems, or a related field. ExperienceExtensive experience (12+ years) in ITSM / Service Desk Transformation / IT Operations arena with exposure to predictive intelligence, data architecture, data modelling, and data engineering, with a focus on Azure cloud-based solutions. Technical Skills: Knowledge of Azure cloud services, including Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), Azure Databricks (ADB), and Azure Machine Learning. Domain KnowledgeDeep understanding of ServiceNow modules, specifically ITSM related to incident, problem, request, change management coupled with extensive knowledge of predictive analytics, data science principles. Understanding and visibility into IT Operations and Support services including, Global Workplace Services like End user compute, Workplace management solutions, Unified Communications and Collaborations is an added advantage. Analytical Skills: Outstanding analytical and problem-solving skills to translate extensive business experience into highly effective predictive intelligence solutions. CommunicationExceptional communication and interpersonal skills, honed through years of collaboration with diverse stakeholders and vendors. MethodologiesExtensive experience with agile methodologies and a record of working in highly dynamic and agile development environments. Project ManagementProven ability to manage multiple projects concurrently, prioritizing tasks effectively to drive impactful results. LeadershipDemonstrated leadership and management capabilities, with a track record of guiding teams to achieve strategic goals and fostering a collaborative team environment. Strong Knowledge in Statistical/ML/AI techniques to solve supervised (regression, classification) and unsupervised problems, with focus on time series forecasting. Experiences with Deep Learning are a plus. Functional Knowledge at least one of these IT Service Management (ITSM) IT Service Desk ServiceNow (ITSM Module) Digital Workplace Services Technical Knowledge Azure Machine Learning (AML) Mandatory Azure Databricks (ADB) Mandatory Azure Data Factory (ADF) Optional Azure Data Lake Storage (ADLS) Optional Certifications at least one of these Azure Fundamentals (AI-900) Azure AI Engineer Azure Data Scientist ITIL Foundation or above

We are seeking a proficient AI/ML Engineer responsible for testing, deploying, and hosting various Large Language Models (LLMs). The role involves monitoring deployed agentic services, ensuring their optimal performance, and staying abreast of the latest advancements in AI technologies. Key Responsibilities: LLM Deployment & Hosting Evaluate, test, and deploy diverse LLMs on cloud-based and on-premise infrastructures. Optimize model performance for scalability and efficiency. Implement secure API endpoints and model-serving pipelines. Strong CI/CD skills and knowledge of CI/CD tools like Jenkins, GitHub Actions, CircleCI etc. Agentic AI Services Deploy and maintain AI agents using frameworks such as CrewAI, Agnos(Phi Data), AutoGen etc. Integrate LLMs into business workflows and automation tools. Design, monitor, and enhance agentic services for real-world applications. Monitoring & Optimization Utilize advanced observability tools to monitor model performance, latency, and cost efficiency. Implement tools like AgentOps, OpenLIT, Langfuse, and Langtrace for comprehensive monitoring and debugging of LLM applications. Develop logging, tracing, and alerting systems for deployed models and AI agents. Conduct A/B testing and gather user feedback to refine AI behavior. Address model drift and retrain models as necessary. Best Practices & Research Stay updated with the latest advancements in AI, LLMs, and agentic systems. Implement best practices for prompt engineering, reinforcement learning from human feedback (RLHF), and fine-tuning methodologies. Optimize compute costs and infrastructure usage for AI applications. Collaborate with researchers and ML engineers to integrate state-of-the-art AI techniques. Strong knowledge on version control tools like GitHub Qualifications & Skills: Proficiency with LLM frameworks such as Hugging Face Transformers, OpenAI API, or Meta AI models. Strong programming skills in Python and experience with deep learning libraries (PyTorch, TensorFlow, JAX). Experience with cloud platforms (AWS, Azure, GCP) and model deployment tools (Docker, Kubernetes, FastAPI, Ray Serve). Familiarity with vector databases (FAISS, Pinecone, Weaviate) and retrieval-augmented generation (RAG) techniques. Hands-on experience with monitoring tools such as AgentOps, OpenLIT, Langfuse, and Langtrace. Understanding of prompt engineering, LLM fine-tuning, and agent-based automation. Excellent problem-solving skills and the ability to work in a dynamic AI research and deployment team. Preferred Qualifications: Experience in reinforcement learning, fine-tuning LLMs, or training custom models. Knowledge of security best practices for AI applications. Contributions to open-source AI/ML projects or research publications in the field.

Hiring a Product Manager – New Tech to lead AI-driven automation and digital transformation for Sales & Distribution in a large, established organization. Must have 8yrs in tech consulting/product roles, with Sales Force Automation, Lead-to-Cash. Required Candidate profile 8–14 yrs in product or tech consulting, with hands-on exposure to Lead-to-Cash processes and digital transformation.

Hiring an Automation and Digital Transformation Expert to support our ongoing initiatives and accelerate our digital capabilities. Position Title: Automation and Digital Transformation Expert Purpose of the Role: To lead the identification, design, and implementation of automation solutions and digital tools that streamline operations, reduce manual work, and enhance overall productivity across departments. Key Responsibilities: Analyse existing processes, identify digitalization opportunities, and reengineer them for enhanced performance and value creation. Develop digital roadmaps aligned with business strategy and operational goals. Work closely with IT, Operations, and Business Units to deploy appropriate technologies. Evaluate and select external vendors, digital solutions, and consulting partners when necessary. Monitor, measure, and report on transformation progress and business impact. Train and mentor internal teams on digital tools, methodologies, and new ways of working. Maintain strong market intelligence on emerging digital trends and Preferred Qualifications & Skills: Bachelor's or Masters degree in IT, Engineering, or related fields 5+ years of experience in automation and digital transformation role Proficiency with Automation tools, cloud platforms, and integration technologies Familiarity with AI, machine learning, and analytics tools Strong problem-solving, project management, and communication skills

Lead generative AI business automation solutions. Integrate AI for automated invoicing & logistics. Assist with .NET code for case management system development. Develop webpages (landing pages). Create promotional image & structural designs. Required Candidate profile AI Architect: Azure/Google AI, document/multi-modal/image analysis. RAG pipelines, prompt engineering. Collaborates on scalable AI. Integrates proprietary tools. API mgmt (Apigee), security/governance

We’re looking for a Staff Engineer who can lead from the front — driving AI adoption, optimising our Go/Remix/React. This role blends hands-on engineering with technical strategy. You’ll bring experience with fast builds, streamlined CI/CD pipelines.

We are seeking a highly skilled and motivated Full Stack PHP Laravel Developer to join our development team. You will be responsible for building and maintaining web applications using the Laravel framework. The ideal candidate should have a strong understanding of PHP, MVC architecture, RESTful APIs, and a passion for clean, scalable code. Key Responsibilities Develop scalable web applications using Laravel and modern JavaScript frameworks. Follow MVC design principles and write clean, modular code. Create and integrate RESTful APIs . Implement responsive UI components Collaborate with cross-functional teams to deliver exceptional products. Participate in code reviews , testing, and debugging. Required Skills 2 4 years of experience as a Full Stack Developer . Strong proficiency in Laravel and PHP-based MVC development . Experience with Vue.js or React.js (either is acceptable). Knowledge of JavaScript , HTML5 , CSS3 , and responsive design. Experience with MySQL/PostgreSQL or other relational databases. Proficiency with Git and version control. Nice to Have Experience with Docker , CI/CD pipelines , or cloud platforms like AWS . Familiarity with AI, Machine learning, Data analytics. Experience with Agile methodologies and sprint-based development.

Entity :- Accenture Strategy & Consulting Team :- Global Network - Data & AI Practice :- CMT Software & Platforms Title :- Level 9 - Ind & Func AI Decision Science Consultant Job location :- Hyderabad/Bangalore About S&C - Global Network:- Accenture Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition About the Software & Platforms Team :- The team is focused on driving Data & AI based solutions for SaaS and PaaS clients for Accenture. The team collaborates actively with onsite counterparts to help identify opportunities for growth as well as drives client deliveries from offshore. WHAT'S IN IT FOR YOU? As part of our Data & AI practice, you will join a worldwide network of smart and driven colleagues experienced in leading statistical tools, methods, and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance. Accenture will continually invest in your learning and growth. Youll work with experts in SaaS & PaaS and Accenture will support you in growing your own tech stack and certifications. In Data & AI you will understands the importance of sound analytical decision-making, relationship of tasks to the overall project, and executes projects in the context of a business performance improvement initiative. Qualifications What you would do in this role Gathering business requirements to create high level business solution framework aligning with business objectives and goals. Monitor project progress able to plan project plan, proactively identify risks, and develop mitigation strategies. Work closely with project leads, engineers, and business analysts to develop AI solutions. Develop & test AI algorithms and techniques tailored to solve specific business problems. Present and communicate solutions and project updates to internal & external stakeholders. Foster positive client relationships by ensuring alignment between project deliverables and client expectations. Adopt a clear and systematic approach to complex issues. Analyze relationships between several parts of a problem or situation. Anticipate obstacles and identify a critical path for a project Mentor and guide a team of AI professionals, cultivating a culture of innovation, collaboration, and excellence. Conduct comprehensive market research and stay updated on the latest advancements and trends in AI technologies. Foster the professional development of team members through continuous learning opportunities. Who are we looking for? Bachelors or masters degree in computer science, engineering, data science, or a related field. Experience working for large Software or Platform organizations. Proven experience (5+ years) in working on AI projects and delivering successful outcomes. Hands-On exposure to Generative AI frameworks (Azure Open AI, Vertex AI) and implementations & Strong knowledge of AI technologies, including Embedding, prompt engineering, natural language processing, computer vision, etc. Hands on experience in building and deployment of Statistical Models/Machine Learning including Segmentation & predictive modelling, hypothesis testing, multivariate statistical analysis, time series techniques, and optimization. Proficiency in statistical packages such as R, Python, Java, SQL, Spark, etc. Ability to work with large data sets and present findings / insights to key stakeholders; Data management using databases like SQL Experience in training large language models and fine-tuning for specific applications or domains. Understanding of linguistic concepts, encompassing syntax, semantics, and pragmatics, to enhance language modeling. Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying and scaling language models. Understanding of containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) for managing and deploying models & exposure of CI/CD pipelines for automated testing and deployment of language models. Excellent analytical and problem-solving skills, with a data-driven mindset. Strong project management abilities, including planning, resource management, and risk assessment. Proficient in Excel, MS word, PowerPoint, etc. Exceptional communication and interpersonal skills to engage effectively with clients and internal stakeholders.