347 Text Mining Jobs

As a Machine Learning Engineer, you will play a key role in developing and enhancing a Telecom Artificial Intelligence Product. This role requires a strong background in machine learning and deep learning, along with extensive experience in implementing advanced algorithms and models to solve complex problems. You will be working on cutting-edge technologies to develop solutions for anomaly detection, forecasting, event correlation, and fraud detection. Your responsibilities will include developing production-ready implementations of proposed solutions using various machine learning and deep learning algorithms. You will test these solutions on live customer data to ensure efficacy and robustness. Additionally, you will research and test novel machine learning approaches for large-scale distributed computing applications. In this role, you will be responsible for implementing and managing the full machine learning operations lifecycle using tools such as Kubeflow, MLflow, AutoML, and Kserve for model deployment. You will develop and deploy machine learning models using PyTorch and TensorFlow to ensure high performance and scalability. Furthermore, you will run and manage PySpark and Kafka on distributed systems with large-scale, non-linear network elements. To excel in this position, you should be proficient in Python programming and experienced with machine learning libraries such as Scikit-Learn and NumPy. Experience in time series analysis, data mining, text mining, and creating data architectures will be beneficial. You should also be able to utilize batch processing and incremental approaches to manage and analyze large datasets. As a Machine Learning Engineer, you will experiment with multiple algorithms, optimizing hyperparameters to identify the best-performing models. You will execute machine learning algorithms in cloud environments, leveraging cloud resources effectively. Continuous feedback gathering, model retraining, and updating will be essential to maintain and improve model performance. Moreover, you should have expertise in network characteristics, transformer architectures, GAN AI techniques, and end-to-end machine learning projects. Experience with leading supervised and unsupervised machine learning methods and familiarity with Python packages like Pandas, Numpy, and DL frameworks like Keras, TensorFlow, PyTorch are required. Knowledge of Big Data tools and environments, as well as MySQL/NoSQL databases, will be advantageous. You will collaborate with cross-functional teams of data scientists, software engineers, and stakeholders to integrate implemented systems into the SaaS platform. Your innovative thinking and creative ideas will contribute to improving the overall platform. Additionally, you will create use cases specific to the domain to solve business problems effectively. Ideally, you should have a Bachelor's degree in Science/IT/Computing or equivalent with at least 4 years of experience in a QA Engineering role. Strong quantitative and applied mathematical skills are essential, along with certification courses in Data Science/ML. In-depth knowledge of statistical techniques, machine learning techniques, and experience with Telecom Product development are preferred. Experience in MLOps is a plus for deploying developed models, and familiarity with scalable SaaS platforms is advantageous for this role.,

You should hold a Bachelor's degree in Physics, Mathematics, Engineering, Metallurgy, or Computer Science, along with an MSc in a relevant field such as Physics, Mathematics, Engineering, Computer Science, Chemistry, or Metallurgy. Additionally, you should possess at least 8 years of experience in Data Science and Analytics delivery. Your expertise should include deep knowledge of machine learning, statistics, optimization, and related fields. Proficiency in programming languages like R and Python is essential, as well as experience with machine learning skills such as Natural Language Processing (NLP) and deep learning techniques. Furthermore, you should have hands-on experience with deep learning frameworks like TensorFlow, Keras, Theano, or PyTorch, and be familiar with working with large datasets, including knowledge of extracting data from cloud platforms and the Hadoop ecosystem. Experience in Data Visualization tools like MS Power BI or Tableau, as well as proficiency in SQL and working with RDBMS for data extraction and management, is required. An understanding of Data Warehouse fundamentals, experience in productionizing Machine Learning models in cloud platforms like Azure, GCP, or AWS, and domain experience in the manufacturing industry would be advantageous. Demonstrated leadership skills in nurturing technical talent, successfully completing complex data science projects, and excellent written and verbal communication are essential. As an AI Expert with a minimum of 10 years of experience, your key responsibilities will include serving as a technical expert, providing guidance in the development and implementation of AI solutions, and collaborating with cross-functional teams to integrate AI technologies into products and services. You will actively participate in Agile methodologies, contribute to PI planning, and support the technical planning of products. Additionally, you will analyze technical requirements, propose AI-based solutions, collaborate with stakeholders to design AI models that meet business objectives, and stay updated on the latest advancements in AI technologies. Your role will involve conducting code reviews, mentoring team members, and driving the adoption of AI technologies across the organization. Strong problem-solving skills, a proactive approach to problem resolution, and the ability to work under tight deadlines without compromising quality are crucial for this role. Overall, you will play a critical role in driving significant impact and value in building and growing the Data Science Centre of Excellence, providing machine learning methodology leadership, and designing various POCs using ML/DL/NLP solutions for enterprise problems. Your ability to learn new technologies and techniques, work in a fast-paced environment, and partner with the business to unlock value through data projects will be key to your success in this position.,

As a Level 9 Industry and Functional AI Decision Science Consultant at Accenture Strategy & Consulting within the Global Network - Data & AI team, your primary responsibility will be to assist clients in the Comms & Media - Telecom practice by designing and implementing AI solutions for their business needs. You will leverage your expertise in the Telco domain, AI fundamentals, and hands-on experience with large datasets to deliver valuable insights and recommendations to key stakeholders. Your role will involve proposing solutions based on comprehensive gap analysis of existing Telco platforms, identifying long-term value propositions, and translating business requirements into functional specifications. By collaborating closely with client stakeholders through interviews and workshops, you will gather essential insights to address their unique challenges and opportunities. In addition to understanding the current processes and potential issues within the Telco environment, you will be responsible for designing future state solutions that leverage Data & AI capabilities effectively. Your ability to analyze complex problems systematically, anticipate obstacles, and establish a clear project roadmap will be crucial to driving successful outcomes for clients. Furthermore, you will act as a strategic partner to clients, aligning their business goals with innovative AI-driven strategies to enhance revenue growth and operational efficiency. Your expertise in storytelling through data analysis will enable you to craft compelling narratives that resonate with senior stakeholders and drive informed decision-making. To excel in this role, you should possess a minimum of 5 years of experience in Data Science, with at least 3 years dedicated to Telecom Analytics. A postgraduate degree from a reputable institution and proficiency in data mining, statistical analysis, and advanced predictive modeling techniques are essential qualifications for this position. Your hands-on experience with various analytical tools and programming languages, such as Python, R, and SQL, will be instrumental in delivering impactful solutions to clients. As a proactive and collaborative team player, you will actively engage with cross-functional teams, mentor junior members, and uphold a high standard of excellence in client interactions. Your strong analytical skills, problem-solving capabilities, and ability to work independently across multiple projects will be key to your success in this dynamic and fast-paced environment. While cloud platform certifications and experience in Computer Vision are considered advantageous, your commitment to continuous learning and staying abreast of industry trends will be highly valued in this role. Overall, your dedication to delivering value-driven AI solutions and fostering long-lasting client relationships will be instrumental in driving success for both Accenture and its clients.,

The ideal candidate for this position should possess a Bachelor's/Master's/PhD degree in Math, Computer Science, Information Systems, Machine Learning, Statistics, Econometrics, Applied Mathematics, Operations Research, or a related technical field. You should have a minimum of 7 years of relevant work experience in a similar role, particularly as a data scientist or Statistician, developing predictive analytics solutions for various business challenges. Your functional competencies should include advanced knowledge of statistical techniques, machine learning algorithms, data mining, and text mining. You must have a strong programming background and expertise in building models using languages such as SAS, Python, or R. Additionally, you should excel in storytelling and articulation, with the ability to translate analytical results into clear, concise, and persuasive insights for both technical and non-technical audiences. Experience in working with large datasets, both structured and unstructured, is crucial, along with the capability to comprehend business problems and devise optimal data strategies. Your responsibilities will encompass providing solutions for tasks like Customer Segmentation & Targeting, Propensity Modeling, Churn Modeling, Lifetime Value Estimation, Forecasting, Recommender Systems, Modeling Response to Incentives, Marketing Mix Optimization, and Price Optimization. It would be advantageous if you have experience working with big data platforms such as Hadoop, Hive, HBase, Spark, etc. The client you will be working with is a rapidly growing VC-backed on-demand startup that aims to revolutionize the food delivery industry. The team values talent, ambition, smartness, passion, versatility, focus, hyper-productivity, and creativity. The primary focus is on ensuring exceptional customer experience through superfast deliveries facilitated by a smartphone-equipped delivery fleet and custom-built routing algorithms. The company operates in eight cities across India and has secured substantial funding to support its expansion. If you meet the qualifications and are excited about the opportunity to contribute to this innovative venture, please share your updated profile at poc@mquestpro.com.,

We are looking for an experienced AI/ML Architect to spearhead the design, development, and deployment of cutting-edge AI and machine learning systems. As the ideal candidate, you should possess a strong technical background in Python and data science libraries, profound expertise in AI and ML algorithms, and hands-on experience in crafting scalable AI solutions. This role demands a blend of technical acumen, leadership skills, and innovative thinking to enhance our AI capabilities. Your responsibilities will include identifying, cleaning, and summarizing complex datasets from various sources, developing Python/PySpark scripts for data processing and transformation, and applying advanced machine learning techniques like Bayesian methods and deep learning algorithms. You will design and fine-tune machine learning models, build efficient data pipelines, and leverage distributed databases and frameworks for large-scale data processing. In addition, you will lead the design and architecture of AI systems, with a focus on Retrieval-Augmented Generation (RAG) techniques and large language models. Your qualifications should encompass 5-7 years of total experience with 2-3 years in AI/ML, proficiency in Python and data science libraries, hands-on experience with PySpark scripting and AWS services, strong knowledge of Bayesian methods and time series forecasting, and expertise in machine learning algorithms and deep learning frameworks. You should also have experience in structured, unstructured, and semi-structured data, advanced knowledge of distributed databases, and familiarity with RAG systems and large language models for AI outputs. Strong collaboration, leadership, and mentorship skills are essential. Preferred qualifications include experience with Spark MLlib, SciPy, StatsModels, SAS, and R, a proven track record in developing RAG systems, and the ability to innovate and apply the latest AI techniques to real-world business challenges. Join our team at TechAhead, a global digital transformation company known for AI-first product design thinking and bespoke development solutions. With over 14 years of experience and partnerships with Fortune 500 companies, we are committed to driving digital innovation and delivering excellence. At TechAhead, you will be part of a dynamic team that values continuous learning, growth, and crafting tailored solutions for our clients. Together, let's shape the future of digital innovation worldwide!,

You are seeking a seasoned Deputy Manager/Group Manager in Advanced Analytics for the Lifesciences/Pharma domain. Your primary responsibility will be to lead a dynamic team focused on assisting clients in Marketing, Sales, and Operations through advanced data analytics. Your proficiency in ML & DL Algorithms, NLP, Generative AI, Omni Channel Analytics, and Python/R/SAS is essential. Your role involves partnering with the Clients Advanced Analytics team to identify, scope, and execute advanced analytics efforts that answer business questions, solve business needs, and add business value. You will maintain a broad understanding of pharmaceutical sales, marketing, and operations to develop analytical solutions in these areas. It is crucial to stay current with statistical/mathematical/informatics modeling methodology and justify the methods selected. You will also lead the team independently to implement & deliver complex project assignments and provide strategic leadership to build new capabilities within the group. Additionally, you will contribute to whitepapers and articles at the BU and organization level, develop and deliver formal presentations to senior clients, and possess strong interpersonal communication, teamwork, leadership, and self-management skills. You should bring an insatiable desire to learn, innovate, and challenge yourself for the benefit of patients. Eligibility criteria include a minimum of 4-10 years of experience in data analytics and 2-4 years of relevant experience in Healthcare/Lifesciences/Pharmaceutical domain. Technical skills required for this role include proficiency in Python or R for statistical and machine learning applications, expertise in various techniques like Regression, Classification Decision Trees, Text Mining, Natural Language Processing, Bayesian Models, and more. You should be able to build & train neural network architectures and have hands-on experience in NLP & NLG. Knowledge in LLMs and Cloud Platforms like Azure, AWS, GCP is essential. Exposure to big data technologies is a plus. Basic qualifications include a B.Tech/Masters in a quantitative discipline such as Applied Mathematics, Computer Science, Bioinformatics, Statistics, Ops Research, or Econometrics. Your role will involve making the impossible possible in the quest to make life better, bringing Analytics to life, and continuously learning to maximize your impact in the field.,

Primary Responsibilities: Developing end-to-end pipeline for different document processing use cases Connecting with business for requirement gathering and status updates Maintaining accuracy of the work delivered Work closely with team lead throughout the solution development lifecycle, from design to implementation Work with the business teams to operationalize the ML solution for document processing solutions Engage in client communications for all important functions including requirement gatherings, strategizing solutions, delivering updates etc. Acquire understanding of US Healthcare domain 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: Working understanding of deep learning especially NLP space Proficient in tools such as Python, SQL , Spark Microsoft Office Excel or PowerPoint Proficient in statistical techniques and standard Machine Learning Proficient in Generative AI and Agentic AI 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. #NIC Apply Internal Employee Application

What Youll Do Develop advanced and efficientstatistically effective algorithms that solve problems of highdimensionality. Utilize technical skills such as hypothesis testing, machine learning and retrieval processes to apply statistical and data mining techniques to identify trends, create figures, and analyze other relevant information. Collaborate with clients and other stakeholders at ZS to integrate and effectively communicate analysis findings. Contribute to the assessment of emerging datasets and technologies thatimpact our analytical platform. What Youll Bring Amasters degree in computer science, Statistics, or a relevant field; A robust academic performance history with coursework emphasizing analysis and quantitative skills. A knowledge of big data, advanced analytical concepts, and algorithms (e.g., text mining, social listening, recommender systems, predictive modeling, etc.). A proficiency in at least one programming language (e.g., Java/Python/R). Experience with tools/platforms such as the Hadoop eco system, Amazon Web Services or database systems. Fluency in English.

Genpact is a global professional services and solutions firm with a team of over 125,000 professionals in more than 30 countries. Driven by curiosity, agility, and the desire to create lasting value for clients, we serve leading enterprises worldwide, including the Fortune Global 500. Our purpose is the relentless pursuit of a world that works better for people, and we achieve this through our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. We are currently seeking applications for the position of Principal Consultant, Research Data Scientist. We are looking for candidates with relevant experience in Text Mining/Natural Language Processing (NLP) tools, Data sciences, Big Data, and algorithms. The ideal candidate should have full cycle experience in at least one large-scale Text Mining/NLP project, including creating a business use case, Text Analytics assessment/roadmap, technology & analytic solutioning, implementation, and change management. Experience in Hadoop, including development in the map-reduce framework, is also desirable. The Text Mining Scientist (TMS) will play a crucial role in bridging enterprise database teams and business/functional resources, translating business needs into techno-analytic problems, and working with database teams to deliver large-scale text analytic solutions. Responsibilities: - Develop transformative AI/ML solutions to address clients" business requirements - Manage project delivery involving data pre-processing, model training and evaluation, and parameter tuning - Manage stakeholder/customer expectations and project documentation - Research cutting-edge developments in AI/ML with NLP/NLU applications in various industries - Design and develop solution algorithms within tight timelines - Interact with clients to collect and synthesize requirements for effective analytics/text mining roadmap - Work with digital development teams to integrate algorithms into production applications - Conduct applied research on text analytics and machine learning projects, file patents, and publish papers Qualifications: Minimum Qualifications/Skills: - MS in Computer Science, Information Systems, or Computer Engineering - Relevant experience in Text Mining/Natural Language Processing (NLP) tools, Data sciences, Big Data, and algorithms Technology: - Open Source Text Mining paradigms (NLTK, OpenNLP, OpenCalais, StanfordNLP, GATE, UIMA, Lucene) and cloud-based NLU tools (DialogFlow, MS LUIS) - Statistical Toolkits (R, Weka, S-Plus, Matlab, SAS-Text Miner) - Strong Core Java experience, programming in the Hadoop ecosystem, and distributed computing concepts - Proficiency in Python/R programming; Java programming skills are a plus Methodology: - Solutioning & Consulting experience in verticals like BFSI, CPG, with text analytics experience on large structured and unstructured data - Knowledge of AI Methodologies (ML, DL, NLP, Neural Networks, Information Retrieval, NLG, NLU) - Familiarity with Natural Language Processing & Statistics concepts, especially in their application - Ability to conduct client research to enhance analytics agenda Preferred Qualifications/Skills: Technology: - Expertise in NLP, NLU, and Machine learning/Deep learning methods - UI development paradigms for Text Mining Insights Visualization - Experience with Linux, Windows, GPU, Spark, Scala, and deep learning frameworks Methodology: - Social Network modeling paradigms, tools & techniques - Text Analytics using NLP tools like Support Vector Machines and Social Network Analysis - Previous experience with Text analytics implementations using open source packages or SAS-Text Miner - Strong prioritization, consultative mindset, and time management skills Job Details: - Job Title: Principal Consultant - Primary Location: India-Gurugram - Schedule: Full-time - Education Level: Master's/Equivalent - Job Posting Date: Oct 4, 2024, 12:27:03 PM - Unposting Date: Ongoing - Master Skills List: Digital - Job Category: Full Time,

Genpact is a global professional services and solutions firm with over 125,000 employees in more than 30 countries. We are driven by curiosity, entrepreneurial agility, and the desire to create lasting value for our clients, including Fortune Global 500 companies. Our purpose is the relentless pursuit of a world that works better for people, and we serve leading enterprises with deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. We are currently seeking applications for the role of Senior Principal Consultant, Research Data Scientist. The ideal candidate should have experience in Text Mining, Natural Language Processing (NLP) tools, Data sciences, Big Data, and algorithms. It is desirable to have full-cycle experience in at least one Large Scale Text Mining/NLP project, including creating a business use case, Text Analytics assessment/roadmap, Technology & Analytic Solutioning, Implementation, and Change Management. Experience in Hadoop, including development in the map-reduce framework, is also required. The Text Mining Scientist (TMS) will play a crucial role in bridging enterprise database teams and business/functional resources, translating business needs into techno-analytic problems and working with database teams to deliver large-scale text analytic solutions. The right candidate should have prior experience in developing text mining and NLP solutions using open-source tools. Responsibilities include developing transformative AI/ML solutions, managing project delivery, stakeholder/customer expectations, project documentation, project planning, and staying updated on industrial and academic developments in AI/ML with NLP/NLU applications. The role also involves conceptualizing, designing, building, and developing solution algorithms, interacting with clients to collect requirements, and conducting applied research on text analytics and machine learning projects. Qualifications we seek: Minimum Qualifications/Skills: - MS in Computer Science, Information systems, or Computer engineering - Systems Engineering experience with Text Mining/NLP tools, Data sciences, Big Data, and algorithms Technology: - Proficiency in Open Source Text Mining paradigms like NLTK, OpenNLP, OpenCalais, StanfordNLP, GATE, UIMA, Lucene, and cloud-based NLU tools such as DialogFlow, MS LUIS - Exposure to Statistical Toolkits like R, Weka, S-Plus, Matlab, SAS-Text Miner - Strong Core Java experience, Hadoop ecosystem, Python/R programming skills Methodology: - Solutioning & Consulting experience in verticals like BFSI, CPG - Solid foundation in AI Methodologies like ML, DL, NLP, Neural Networks - Understanding of NLP & Statistics concepts, applications like Sentiment Analysis, NLP, etc. Preferred Qualifications/Skills: Technology: - Expertise in NLP, NLU, Machine learning/Deep learning methods - UI development paradigms, Linux, Windows, GPU Experience, Spark, Scala - Deep learning frameworks like TensorFlow, Keras, Torch, Theano Methodology: - Social Network modeling paradigms - Text Analytics using NLP tools, Text analytics implementations This is a full-time position based in India-Noida. The candidate should have a Master's degree or equivalent education level. The job posting was on Oct 7, 2024, and the unposting date is ongoing. The primary skills required are digital, and the job category is full-time.,

Job Title: AI Engineer Location: Hyderabad,Chennai,Bangalore Experience: 3 - 6 Years Contact Informations: Click here to upload your CV / Resume We accept PDF, DOC, DOCX, JPG and PNG files SUBMIT APPLICATION Verification code successfully sent to registered email Invalid Verification Code! Thanks for the verification! Our support team will contact you shortly!.

You will be joining a business that focuses on improving access to health products and services in emerging markets through a three-part model. This model involves collecting insights on community health needs, running targeted health campaigns (education, screening, etc.), and managing the distribution of essential medicines and health products. The company challenges established business norms and aims to build a socially-minded business model for underserved populations. As part of this innovative approach, you will have the opportunity to be creative, move fast, own important tasks, grow, learn, and make a meaningful impact in redesigning the delivery of affordable healthcare. The company already collaborates with over half of the world's largest pharmaceutical companies and has established a presence in markets across Southeast Asia, India, and Africa. With plans for rapid expansion into new regions and markets, this is just the beginning of the company's journey to make a difference. As a Data and Insights Analyst/Lead, you will play a crucial role in working closely with the back-end development team to drive the business forward by owning the data solution and service. Your responsibilities will include understanding business needs, producing insightful metrics and dashboards from collected data, and managing a repository on Apache Cloudstack. Your work will contribute to creating actionable insights from community needs and supporting the connection of people to healthcare services. The position is a full-time contract based in Mumbai, India, starting in June 2025. You will report to the Head of Group Ops and take responsibility for all information services within the organization. Key tasks include creating and managing report dashboards, translating business requirements into actionable reports, generating insights and recommendations based on data, and collaborating with the development team to ensure seamless data integration. To be successful in this role, you should have 4-6 years of experience as a Business Intelligence or Data Analyst (6-8 years for Lead position), strong analytical skills, experience with BI tools, and the ability to work with large amounts of information. While experience in pharma or healthcare is a plus, knowledge of healthcare is not essential. You should be a self-starter with excellent communication skills, problem-solving abilities, and a passion for delivering health for all. Additionally, having your own reliable device and internet connection suitable for work is necessary for this role.,

METRO Global Solution Center IN is looking for Manager - Data Science & AI to join our dynamic team and embark on a rewarding career journey Delegating responsibilities and supervising business operations Hiring, training, motivating and coaching employees as they provide attentive, efficient service to customers, assessing employee performance and providing helpful feedback and training opportunities. Resolving conflicts or complaints from customers and employees. Monitoring store activity and ensuring it is properly provisioned and staffed. Analyzing information and processes and developing more effective or efficient processes and strategies. Establishing and achieving business and profit objectives. Maintaining a clean, tidy business, ensuring that signage and displays are attractive. Generating reports and presenting information to upper-level managers or other parties. Ensuring staff members follow company policies and procedures. Other duties to ensure the overall health and success of the business.

Key Skill Required: Skilled in Playwright for UI test automation across browsers. Experience with BDD using Cucumber for business collaboration. Integrated test scripts with CI/CD and analyzed test results. Proficient in Core Java, Selenium, JUnit, and TestNG. Hands-on with REST Assured, Maven, and Docker. Knowledge of hybrid frameworks and defect reporting.

1. Organize training programs on Planning & Installation for all new dealers. 2. Maintain the profitability as per the costing furnished by sales team. 3. Handle all major projects and complete within the agreed timeline. 4. Visit all dealer jobs periodically and maintain the quality of Installation as per the standards. 5. Train and develop the dealer team on all new products introduced 6. Maintain good PR with all key customers during the installation stage and collect satisfaction letters. 7. Provide the necessary cost variance reports for all major jobs executed. 8. Release timely work orders to dealers on NAD / Key customer jobs. 9. Submit necessary documentations and bills to customers and facilitate timely collection. 10. Furnish continuous feedback on the product quality to the Product Managers and contribute for improvement. 11. Support Channel Partners with necessary spares during the pre commissioning failures 12. Prepare pre commissioning failure reports to Quality / Factory and get necessary credit to branch. 13. Claim timely insurance on damaged machines delivered at warehouse/sites and follow up for necessary settlement. 14. Ensure to get credits for spares issues during pre-commissioning failure from factory 15. Ensure there are no escalations, in case of any escalations resolve the same at earlie Key Responsibilities: Short Info Posted: 0 day(s) ago Location: Jaipur Qualifications: BE Experience: 3 Years - 0 Months To 6 Years - 0 Months

To lead a small team and ensure the seamless execution of delegate registration and data management for the Zak World of Fa ades conference series. This role is pivotal in delivering a high-quality registration experience for attendees, maintaining accurate data records, and supporting the overall success of the event operations. Qualification: Graduate. Preferably a PGDM in Events Management. Should have handled RSVP for 2-3 years. Fluency in spoken English is a must. . Please make sure to mention the title of the job position youre applying for in the subject line of your email.

KPMG India is looking for Assistant Manager - Data Science Assistant Manager - Data Science to join our dynamic team and embark on a rewarding career journey Ensuring company policies are followed. Optimizing profits by controlling costs. Hiring, training and developing new employees. Resolving customer issues to their overall satisfaction. Maintaining an overall management style that follows company best practices. Providing leadership and direction to all employees. Ensuring product quality and availability. Preparing and presenting employee reviews. Working closely with the store manager to lead staff. Overseeing retail inventory. Assisting customers whenever necessary. Organizing employee schedule. Ensuring that health, safety, and security rules are followed. Ensuring a consistent standard of customer service. Motivating employees and ensuring a focus on the mission. Maintaining merchandise and a visual plan. Maintaining stores to standards, including stocking and cleaning. Completing tasks assigned by the general manager accurately and efficiently. Supporting store manager as needed.

KPMG India is looking for Assistant Manager - Data Science Assistant Manager - Data Science to join our dynamic team and embark on a rewarding career journey Ensuring company policies are followed. Optimizing profits by controlling costs. Hiring, training and developing new employees. Resolving customer issues to their overall satisfaction. Maintaining an overall management style that follows company best practices. Providing leadership and direction to all employees. Ensuring product quality and availability. Preparing and presenting employee reviews. Working closely with the store manager to lead staff. Overseeing retail inventory. Assisting customers whenever necessary. Organizing employee schedule. Ensuring that health, safety, and security rules are followed. Ensuring a consistent standard of customer service. Motivating employees and ensuring a focus on the mission. Maintaining merchandise and a visual plan. Maintaining stores to standards, including stocking and cleaning. Completing tasks assigned by the general manager accurately and efficiently. Supporting store manager as needed.

As a Generative AI Solution Architect with IBM Consulting, you are primarily responsible for designing and implementing complex GenAI solutions using IBM WatsonX and Ecosystem Partner Stacks (Microsoft Azure / Open AI, AWS, Aleph Alpha, as well as Open Source). In addition, you are supporting business development, sales as well as the delivery of consulting and system integration projects in Data & AI for our clients. * You have end-to-end technical responsibility during the acquisition, design and delivery of technically complex GenAI projects at scale * You are accountable for the development and productive deployment of scalable Generative AI applications and platforms, particularly within (hybrid) cloud architectures. * You provide consultation and support to clients and colleagues in architecting and selecting the right technology stack for flexible, scalable, and economical GenAI solutions. * You guide and support clients and colleagues in the adoption of development and operational processes for AI solutions, such as Agile DevOps, FinOps, Trustworthy AI and MLOps methodologies. * You stay abreast of the latest developments in the Artificial Intelligence market and research environment, actively participating in knowledge transfer within IBM Consulting, especially when it comes to mentoring junior team members and delivery teams. * You also develop the strategy, vision, and roadmap for GenAI architectures within our consulting business, contributing to both our immediate sales objectives and long-term business growth. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Professional with at least 5-10 years of experience ideally in data and analytics and/or architecture, including 3 years in the design, build, and implementation of AI/Deep Learning & GenAI solutions. * Experienced in architecting AI solutions and managing delivery of highly technical analytics use cases. * Conversant with technical stacks used to support Generative AI use cases (AWS, Google, Microsoft, Watson X). * Familiar with relevant concepts (eg transformer model architectures, prompt engineering, model fine tuning, retrieval augmented generation architectures) and models/technologies (Microsoft Azure / Open AI, AWS, Aleph Alpha, Hugging Face etc as well as Open Source). * Very good at stakeholder management and influencing skills, consultancy skills a very strong plus. * Able to convey complex technical concepts to non-technical stakeholder Preferred technical and professional experience Experienced in architecting AI solutions and managing delivery of highly technical analytics use cases. * Conversant with technical stacks used to support Generative AI use cases (AWS, Google, Microsoft, Watson X). * Familiar with relevant concepts (eg transformer model architectures, prompt engineering, model fine tuning, retrieval augmented generation architectures) and models/technologies (Microsoft Azure / Open AI, AWS, Aleph Alpha, Hugging Face etc as well as Open Source). * Very good at stakeholder management and influencing skills, consultancy skills a very strong plus. * Able to convey complex technical concepts to non-technical stakeholders.* Fluent in English

Returnship- Hiring Data science professionals Experience: 3 Years - 8 Years Location: Pan India JD: Data science- ML, Text analytics, Regression, Data classification and prediction, API’s Software’s:- python , power BI, sql, tableau. Platforms: H2O, Data robot Analytics code Deployment using Azure, AWS, on prem methods etc.

S&P Global Commodity Insights The Role: Consultant/ Senior Consultant, Oil Markets, Midstream & Downstream (OMD) Consulting within the S&P Global Commodity Insights Consulting Team The Team: This position is in the fast-growing Middle East and Indian Subcontinent (MDEI) consulting team of the Oil Markets, Midstream & Downstream (OMD) in S&P Global Commodity Insights division. We advise clients on crude oil, refined product, storage, retail markets and custom scenarios in the MDEI region and support our clients understanding of the increasing interdependence between crude markets, refining, petrochemical, energy transition (including biofuels) & mobility. The Impact: We are proud to have developed many pivotal market strategies for several National Oil Companies (NOCs), Independents and key stakeholders in the region and acted as com mercial advisors in several recent large capital formation deals in the region. Our clients range from leading NOCs, Governments, Lenders, Investment companies, and their associated industry bodies. We will continue leveraging our extensive regional experience, capabilities, and synergies with other S&P Global teams to deliver an aggressive growth plan in the next three years. Whats in it for you: The successful candidate will have the opportunity to work with a diverse, dynamic, and fast-growing team of consultants with wide-ranging backgrounds in energy and the hydrocarbon value chain. The varied and changing nature of our projects leads to the development of a diverse set of skills and exposure to different industries and clients, including senior industry leaders and policy makers. An outstanding culture, S&P Global consistently returns exceptional employee feedback in surveys identifying the company as a great place to work Responsibilities: Maintain general knowledge of oil and refining market for interaction with project managers and clients. Maintain a fundamental working knowledge of the basic company databases and tools, (Supply/Demand, Global Pricing System, Capacity Data Base and Trade Grids). Execution of projects requested by clients using the knowledge of these databases, tools, and other unique analytical approaches for the OMD Consulting team or the different wider consulting teams across Commodity Insights community. Capable of independent work to support project delivery. Support development, maintenance, and improvement of financial and economic models and lead project streams when directed. Prepare reports or presentations following company standards. Be capable of summarizing project information for clear presentation of results and conclusions to clients. Interface with client, if necessary, in the presentation of the final results. Work on preparing techno-commercial proposals based on client needs and if required to interface with other teams, following company standards and protocols. Work on capabilities building within the team, and knowledge sharing as an ongoing basis. What Were Looking For: 6-10 years of experience in the oil, refining & energy industry within operational, consulting, technology or engineering companies related to the segment. Minimum qualifications are bachelors degree, with chemical engineering will be preferred. MBA will be a strong plus. Ability to work well in a collegiate approach in a team-oriented environment, influencing stakeholders, providing ideas and open feedback. Strong written and oral presentation skills. The candidate must have an analytical frame of mind and be prepared to use data to back up opinions. Experience in downstream refining segment is a must have and can include retail, technical services, biofuels, lubricants, economic planning and scheduling, Corporate Strategy/ or trading segments. Experience in refining LP modelling tool PIMS, Data Analytics tools would be an added advantage.

As a qualified candidate for this role, you should possess a Bachelor's or Master's degree in Computer Science, Engineering, or a related field. You should also have extensive experience in AI/ML, specifically focusing on Generative AI technologies. Demonstrated success in leading and delivering complex AI projects is essential for this position. Your expertise should include a strong understanding of GenAI frameworks, tools, and methodologies. You must exhibit excellent problem-solving skills, strategic thinking abilities, and proficient project management capabilities. Effective communication and collaboration with diverse teams and stakeholders are crucial aspects of this role. Experience with cloud platforms and AI deployments in cloud environments, with a preference for Azure, is highly desirable. Preferred skills for this role include hands-on experience with GenAI-based products and prompt engineering. Proficiency in text analytics/NLP, encompassing machine learning techniques and algorithms, is advantageous. You should be skilled in text mining, parsing, and classification using state-of-the-art techniques. Expertise in the Microsoft technology stack and knowledge of client-side scripting (JavaScript and jQuery) are beneficial. Understanding ethical AI principles and implementing best practices is expected. Proficiency in programming languages such as Python, R, Java, and Regex expressions is required. Experience using requirement management tools like TFS is beneficial. Strong verbal and written communication skills are essential, along with the ability to influence peers and leadership positively.,

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : SAP EWM Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. You will collaborate with multiple teams, contribute to key decisions, and provide solutions to problems for your immediate team and across multiple teams. A typical day in this role involves analyzing business requirements, designing and implementing application solutions, and ensuring the quality and integrity of the data. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute on key decisions- Provide solutions to problems for their immediate team and across multiple teams- Design and implement application solutions- Analyze business requirements- Ensure the quality and integrity of the data Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP EWM- Strong understanding of statistical analysis and machine learning algorithms- Experience with data visualization tools such as Tableau or Power BI- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information:- The candidate should have a minimum of 7.5 years of experience in SAP EWM- A 15 years full time education is required Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work on various aspects of AI, including deep learning, neural networks, and image processing, while also integrating generative AI models into your projects. Collaboration with cross-functional teams will be essential as you contribute to innovative solutions that address complex challenges in the field of artificial intelligence. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate knowledge sharing and mentorship within the team to enhance overall performance.- Continuously evaluate and improve existing processes and methodologies to drive efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Experience with cloud platforms and services, particularly in deploying AI solutions.- Familiarity with data preprocessing and feature engineering techniques.- Ability to design and implement scalable machine learning models. Additional Information:- The candidate should have minimum 12 years of experience in Machine Learning.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Computer Vision Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work on various aspects of AI, including deep learning, neural networks, and image processing, while also integrating generative AI models into your projects. Collaboration with cross-functional teams will be essential as you contribute to innovative solutions that address complex challenges in the field of artificial intelligence. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate knowledge sharing and mentorship within the team to enhance overall performance.- Continuously evaluate and improve existing processes and methodologies to drive efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Experience with cloud platforms and services, particularly in deploying AI solutions.- Familiarity with data preprocessing and feature engineering techniques.- Ability to design and implement scalable machine learning models. Additional Information:- The candidate should have minimum 12 years of experience in Machine Learning.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education