9 Data Mining Jobs nearby Coimbatore

We are looking to hire a data analyst to join our data team. You will take responsibility for managing our master data set, developing reports, and troubleshooting data issues. To do well in this role you need a very fine eye for detail, experience as a data analyst, and a deep understanding of the popular data analysis tools and databases. ResponsibilitiesManaging master data, including creation, updates, and deletion.Managing users and user roles.Provide quality assurance of imported data, working with quality assurance analysts if necessary.Commissioning and decommissioning of data sets.Processing confidential data and information according to guidelines.Helping develop reports and analyses.Managing and designing the reporting environment, including data sources, security, and metadata.Supporting the data warehouse in identifying and revising reporting requirements. Other DetailsSalary-41,000/- to 75,000/-Required Experience-0 To 4 YearsMinimum Age-18 RequirementsQualification Required-BCA,MCA,BBA.MBA,PHD,PGDM,All GraduateBachelors degree from an accredited university or college in computer science.Work Department-Data AnalystWork Industry-IT,Automation,Banking,Finance,Education,Telecom,Skills-Proven analytics skills, including mining, evaluation, and visualizationfor more clarification contact to this number-7428595632 Also Share Your CV -devika.d2953@gmail.com RegardsHR Placement Team

A Data Analyst analyses the company's raw data and develops methods to make it easier for other people to comprehend, see trends, or predict future events. Data Analysts assist organisations in converting unwieldy quantities of data into something useful. ResponsibilitiesCreating an information architecture for a data set and ensuring that it is readily accessible and understandable to all users Make recommendations on how the organisation may best utilise the data they currently have to their advantage or make suggestions about what new data should be collected Examining how companies in comparable sectors utilise their data analysis tools Combining previously unrelated sets of data so that they may be more easily studied Other DetailsSalary-41,000/- to 75,000/-Required Experience-0 To 4 YearsMinimum Age-18 RequirementsQualification Required-BCA,MCA,BBA.MBA,PHD,PGDM,All GraduateBachelor's degree in Statistics, Mathematics, Computer Science, Economics, or related field.Master's degree preferred.Work Department-Data AnalystWork Industry-IT,Automation,Banking,Finance,Education,Telecom,Skills- Knowledge of machine learning and data mining techniques is desirable.for more clarification contact to this number-9266704661 Also Share Your CV -harsheeta.hs1987@gmail.com RegardsHR Placement Team

As a Technical Research Engineer at this company, you will be responsible for a variety of tasks related to research and technical writing. Your main responsibilities will include: - Writing PhD journal papers and articles - Crafting PhD theses - Preparing documents - Creating presentations To excel in this role, you should have the following qualifications and skills: - Qualification: M.E., M.Tech. - Experience: 0-1 years of relevant experience - Good writing and communication skills - Strong technical knowledge - Excellent documentation and presentation skills The company is looking for individuals who can commit long-term to the job and are available for a direct interview within a week. Salary ranges from INR 18000 to INR 50000 per month, with additional incentives based on performance. BE students with 1 year of relevant experience are also encouraged to apply. The selection process includes a technical round and a face-to-face interview. The job location is in Gandhipuram, Coimbatore. Candidates with good domain knowledge in areas such as Data Mining, Image Processing, Big Data, Cloud Computing, and more are preferred. Additionally, you should be innovative, possess excellent problem-solving skills, and be a self-starter willing to learn new concepts. If selected, you will join as a Trainee for 3 months and then be promoted to Research Engineer. The company offers a flexible schedule, day or fixed shift options, and a performance bonus. If you have a Master's degree, 1 year of experience in journal paper or thesis writing, and proficiency in Tamil, you are encouraged to apply. Please forward your resumes to softscholarshrd[at]gmail.com or walk-in directly to the office in Coimbatore, Tamil Nadu. In this role, your ability to work long-term at the company will be a key factor.,

You will be responsible for leading day-to-day and long-term customer experience strategy on key accounts. Your role involves owning the customer and user journey across various marketing channels for clients, utilizing research and data insights to enhance marketing effectiveness. You will drive digital innovation, transforming complex information into compelling stories and brand interactions. **Key Responsibilities:** - Produce high-quality solutions that deliver brand value and business growth for clients. - Define, explore, and track interactions between customers and the brand throughout the customer lifecycle. - Optimize interactions using customer data to foster loyalty for brands. - Act as the main point of contact for client and internal team queries regarding customer experience and loyalty. - Champion experience innovation by creating a positive team environment and supporting innovative lead ideas. - Assist in managing and developing the junior team under Strategy Leadership. - Deliver thought leadership in CX and CRM planning. **Qualifications Required:** - 4-6 years of experience in digital agencies as a CX, UX, Data, or CRM planner, or in digital product development as a Product, Customer, or Loyalty Manager. - Experience in developing complex customer journeys or loyalty programs. - Proven track record of successfully delivering strategic transformation work with demonstrated results. The company is focused on achieving the best results for clients and emphasizes having a team that can build and manage systems efficiently rather than solely relying on increasing headcount. As part of a small but rapidly growing team, this role offers a great opportunity for the right candidate to make a significant impact and grow within the organization.,

As a Junior Technical Research Engineer at our company, you will be part of a team that values self-driven learners who believe in growth through ownership. We are not looking for clock-watchers but individuals who are willing to be challenged and care about their team as much as their task. If you meet these criteria, we will provide you with the space to do your best work. **Job Roles:** - IEEE Projects - PhD Journal Paper/Article Writing - Academic Content Writing - PhD Thesis Writing - Document Preparation - Presentation Preparation **Required Skills:** - Good writing/communication skills - Strong technical knowledge - Excellent documentation and presentation skills In this role, you will be responsible for research article writing and content creation. The job offers a good salary and incentives based on performance, with negotiable salary for experienced candidates. You will need excellent technical knowledge and communication skills for writing research papers, theses, project documents, etc. Additionally, having good domain knowledge in areas like Data Mining, Image Processing, Big Data, Cloud Computing, and more will be beneficial. As a Trainee, you will have the opportunity to learn and grow, with the potential for promotion to a main role after a minimum service period of 1 year. We are looking for candidates who are innovative, possess excellent problem-solving capabilities, effective time management skills, and are self-starters and self-learners. If you are a B.E. or B.Tech. fresher or have 0-1 year of relevant experience, we encourage you to apply for the Junior Technical Research Engineer position. For those with 1 year of relevant experience or M.E., M.Tech. freshers, the Technical Research Engineer role is open for applications. Please note that the selection process involves a Technical Round and a Face-to-Face Interview. The job location is in Gandhipuram, Coimbatore, and we prefer candidates who are nearer to this location. The office timing is from 9.30 am to 6.30 pm with a possible leverage of 30 minutes. If you are available to attend a direct interview within a week and meet the qualifications mentioned above, we welcome you to apply or walk in to our office between 10.00 am to 12.00 pm from Monday to Friday. We look forward to welcoming dedicated and enthusiastic individuals to our team. **Benefits:** - Flexible schedule **Application Question:** - How long can you work in this role in the company **Education:** - Bachelor's (Required) **Experience:** - Journal Paper/Thesis Writing: 1 year (Preferred) **Language:** - Tamil (Required) **Work Location:** - In person,

Role Overview: You will be responsible for research article writing and content writing, focusing on IEEE projects, PhD journal paper/article writing, academic content writing, PhD thesis writing, document preparation, and presentation preparation. Your role will require good writing and communication skills, strong technical knowledge, and excellent documentation and presentation skills. Key Responsibilities: - Write research articles and content related to IEEE projects, academic papers, theses, and project documents - Prepare and present documents and presentations on various technical topics - Demonstrate good domain knowledge in areas such as Data Mining, Image Processing, Big Data, Cloud Computing, Mobile Computing, Network Security, Web Mining, Software Engineering, Wireless Communication, Embedded Systems, IoT, and Power Electronics - Utilize analytical, quantitative, and data interpretation skills to produce innovative content - Solve problems effectively, manage time efficiently, multitask, and demonstrate initiative and self-learning ability - Start as a Trainee and progress to a main role after a minimum service period of 1 year Qualifications Required: - B.E., B.Tech., M.E., M.Tech. passed out graduates - B.E. Freshers/0-1 year Relevant Experience - Good writing/communication skills - Strong technical knowledge - Excellent documentation and presentation skills Additional Details: The company is looking for self-driven learners who believe in growth through ownership and are willing to be challenged. They value team collaboration and provide a conducive environment for you to excel in your work. The office is located in Gandhipuram, Coimbatore, and candidates nearer to this location are preferred for the job. The working hours are from 9.30 am to 6.30 pm with a possible 30-minute leverage. The salary ranges from INR 10000 to INR 30000 per month based on experience and performance. Applicants should be available for a direct interview within a week and must be willing to work on-site. Please apply only if you meet the education and experience requirements, have the necessary language skills, and can reliably commute or plan to relocate to Coimbatore, Tamil Nadu.,

As an ideal candidate for this role, you should have a strong educational background with a UG/PG degree in Computer Science Engineering or Electronics and Communication Engineering. Your hands-on experience in Computer Science Domains will be crucial for excelling in this position. Key Responsibilities: - Possess domain knowledge in various areas such as Big Data, Cloud Computing, Data Mining, Dependable and Secure Computing, and Image Processing. - Demonstrate expertise in Mobile Computing, Network Security, Web Mining, Software Engineering. - Familiarity with Embedded Systems, VLSI, IoT, Power Electronics, and Wireless Communication. - Ability to read and comprehend research articles. - Exhibit excellent attitude and a strong passion towards engineering. - Showcase innovation along with good analytical, quantitative, and data interpretation skills. - Strong written communication skills and the ability to excel in documentation and presentations. - Self-starter with a self-paced learning approach. Qualifications Required: - UG/PG degree in Computer Science Engineering or Electronics and Communication Engineering. - Hands-on experience in Computer Science Domains. - Knowledge in various domains including Big Data, Cloud Computing, Data Mining, Dependable and Secure Computing, Image Processing, Mobile Computing, Network Security, Web Mining, Software Engineering, Embedded Systems, VLSI, IoT, Power Electronics, Wireless Communication. - Ability to read and understand research articles. As part of your role, you will be expected to contribute within an agile framework, participate in the development of requirement/product/design documents, continuously enhance your technical and soft skills, troubleshoot issues, and provide critical validation support. Additionally, you should be proactive in following established processes, suggesting improvements, and defining new processes to drive efficiency and innovation within the team.,

Role Overview: At EY, you will have the opportunity to shape a career that is as unique as you are, with the necessary global support, inclusive culture, and advanced technology to help you reach your full potential. Your distinctive voice and perspective are crucial in contributing to EY's continuous improvement. Join the team to create an exceptional experience for yourself and contribute towards building a better working world for all. Key Responsibilities: - Coordinate with stakeholders to gather business requirements. - Participate in all stages of the software development lifecycle, including estimating, technical design, implementation, documentation, testing, deployment, and support of applications developed for clients. Qualifications Required: - Bachelor's degree or equivalent. - Minimum of 5 years of full life cycle implementation experience using various SDLC methodologies (waterfall, Agile). - Minimum of 4 years of experience implementing Adobe Experience Platform solutions. - Minimum of 4 years of experience delivering projects, including leading group workshops and joint application design sessions. - Proven work experience as a Data Lead, Data Scientist, Data Analyst, or similar role. Additional Company Details: EY aims to create a better working world by fostering long-term value for clients, people, and society while building trust in the capital markets. With the support of data and technology, diverse EY teams in over 150 countries offer assurance and assist clients in their growth, transformation, and operations. Operating across assurance, consulting, law, strategy, tax, and transactions, EY teams focus on asking better questions to find innovative solutions to the complex challenges of today's world.,

As a skilled UiPath Developer, your role involves designing, developing, testing, and deploying automation workflows using UiPath's end-to-end automation platform. You will need expertise in UiPath's latest components while following best practices in governance, security, and scalability. Key Responsibilities: - Design, develop, and deploy automation solutions using UiPath Studio / StudioX / Studio Web. - Integrate automation workflows with systems like SAP, Web Apps, Excel, Outlook, SharePoint, and APIs. - Collaborate with Business Analysts to create PDDs, SDDs, and Test Cases. - Build robust automation using the REFramework or Modern Design templates. - Configure and maintain automations in UiPath Orchestrator, including Assets, Queues, Schedules, and Robots. - Implement intelligent document processing (IDP) using UiPath Document Understanding integrated with AI Center / Action Center. - Utilize UiPath Integration Service and API Connectors for cross-system automation. - Utilize UiPath Assistant / Apps / Automation Hub for attended automation and citizen development initiatives. - Troubleshoot issues and perform root cause analysis during UAT and Production phases. - Ensure compliance with enterprise governance, DLP policies, and security standards. - Support deployment, hypercare, and ongoing maintenance of bots in production. Required Skills & Competencies: - Core Skills: UiPath Studio, Orchestrator, REFramework, Queue Management, DataTables, Exception Handling. - Advanced Components: UiPath Document Understanding, UiPath AI Center, UiPath Integration Service, UiPath Action Center, UiPath Apps. - Programming Languages: VB.NET, C#, Python, or SQL basics. - Version Control: Git, Azure DevOps, UiPath Automation Ops. - Deployment & Infrastructure: Experience with on-prem, cloud, or hybrid UiPath environments. - Good understanding of: REST APIs, JSON, XML, OCR engines, and data extraction logic. Preferred / Desirable Skills: - Knowledge of Generative AI integration with UiPath. - Exposure to Power Platform, ABBYY, Azure Form Recognizer for hybrid automation models. - Experience in Automation Hub COE governance and licensing optimization. - Experience with UiPath Test Suite or Insights for performance reporting. Qualifications: - Bachelors degree in Computer Science, Engineering, or related field. - UiPath Certified Professional Advanced Developer or equivalent certification preferred. Soft Skills: - Strong analytical and problem-solving abilities. - Excellent communication and documentation skills. - Ability to work independently and collaboratively in agile teams. - Commitment to continuous learning and innovation in automation technologies.,

As a Big Data Analyst at Socit Gnrale, your role will involve analyzing, organizing, and processing raw data using Bigdata technologies and Scala. You will be responsible for performing data validation, cleaning, and transformation using Big data technologies, Spark, and Scala. Additionally, you will be required to ingest and manage data in HDFS/Hive, analyze data using Spark, and produce meaningful insights for the business team. Your tasks will also include combining raw information from different sources, exploring ways to enhance data quality and reliability, and developing code using Software Craftmanship best practices such as Continuous delivery and Clean coding principles. Key Responsibilities: - Analyze, organize, and process raw data using Bigdata technologies and Scala - Perform data validation, cleaning, and transformation using Big data technologies, Spark, and Scala - Ingest and manage data in HDFS/Hive, analyze data using Spark, and produce meaningful insights for the business team - Combine raw information from different sources, explore ways to enhance data quality and reliability - Develop code using Software Craftmanship best practices such as Continuous delivery and Clean coding principles - Assist the business operations team with data samples to create proof of concepts - Ensure the new data sets are feeding the Business Intelligence setup i.e Dashboards on PowerBI - Liaise with BA to ensure subjects are getting prioritized, communicate to PO about progress and potential issues Qualifications Required: - 4 to 8 years of expertise and hands-on experience in Spark with Scala and Big data technologies - Good working experience in Scala and object-oriented concepts - Good working experience in HDFS, Spark, Hive, and Oozie - Technical expertise with data models, data mining, and partitioning techniques - Hands-on experience with SQL database - Understanding of CI/CD tools (Maven, Git, Jenkins) and SONAR - Knowledge of Kafka and ELK stack is a plus. Familiarity with Data visualization tools like PowerBI will be an added advantage - Strong communication and coordination skills with multiple stakeholders. Ability to assess existing situations, propose, and follow up on improvement actions - Good team spirit, ability to work in international/intercultural environments with lots of interactions with onsite stakeholders - Professional attitude: Self-motivated, fast learner, team player, independent If you choose to join Socit Gnrale, you will be part of an organization that believes in the power of individuals to drive change. The company encourages innovation, action, and a positive impact on the future. You will have the opportunity to grow in a stimulating and caring environment, contribute to initiatives that make a difference, and develop your expertise. Additionally, employees have the chance to dedicate several days per year to solidarity actions, supporting various causes and sharing skills with charities. Please note that the above details are extracted from the provided job description reference number 25000G3H.,

Job Description: As a Process Mining Specialist with over 7 years of experience in process improvement, analytics, and digital transformation, you will be responsible for utilizing your expertise in process mining tools such as Celonis, UiPath Process Mining, Signavio, or Disco to analyze system event logs and generate actionable insights that enhance operational efficiency, compliance, and customer satisfaction. Key Responsibilities: - Lead and execute end-to-end process mining projects in various business functions such as finance, procurement, operations, and supply chain. - Extract, transform, and load (ETL) data from enterprise systems like SAP, Oracle, Salesforce to create process models and dashboards in process mining platforms. - Analyze process flows to identify inefficiencies, compliance deviations, bottlenecks, and automation opportunities. - Collaborate with business stakeholders to validate findings, identify root causes, and recommend improvement strategies. - Develop and maintain process mining KPIs, dashboards, and performance reports. - Support continuous improvement initiatives by integrating process insights into Lean/Six Sigma or digital transformation programs. - Work with IT and data engineering teams to ensure reliable data pipelines and data quality for process mining. - Provide training and coaching to business users and analysts on process mining methodologies and tools. Required Skills & Experience: - 7+ years of total experience, with a minimum of 3+ years in process mining and the remaining in process improvement, analytics, or business transformation. - Strong hands-on experience with Celonis, Signavio, UiPath Process Mining, Disco, or similar tools. - Proficiency in data querying languages like SQL and experience with ETL processes. - Good understanding of enterprise systems (ERP/CRM), particularly SAP, Oracle, or Microsoft Dynamics. - Solid background in process mapping, BPMN, and business analysis. - Ability to interpret complex data and present clear, actionable insights to stakeholders. - Strong communication skills with the ability to engage technical and non-technical audiences. About Virtusa: At Virtusa, teamwork, quality of life, professional and personal development are the core values that we are proud to embody. Joining our team of 27,000 global professionals means gaining access to exciting projects, opportunities, and working with cutting-edge technologies throughout your career. We foster collaboration and provide a dynamic environment for great minds to nurture new ideas and achieve excellence in their work.,

Role Overview: You will be responsible for developing functional and Data specifications for Business Analytics and BI projects. You will participate in the work stream planning process including inception, technical design, development, testing, and delivery of data solutions. As a part of the IT team, you will collaborate with your manager to influence business decisions by providing quantitative/qualitative data analysis to extract insights and trends related to business performance. Your role will involve working with customers to analyze data support needs, communicating findings to stakeholders, and providing recommendations for improving business performance. You will also ensure that data and analysis are presented in an appropriate format for a varied audience using data visualization, dashboards, or other methods. Additionally, you will utilize strong database skills to work with large, complex data sets to extract insights and identify new technology opportunities that impact enterprise-wide data analytics systems. You may also be required to perform adhoc analysis for a wide range of requests using data in different formats and from various platforms. Key Responsibilities: - Develop functional and Data specifications for Business Analytics and BI projects - Participate in work stream planning process including inception, technical design, development, testing, and delivery of data solutions - Collaborate with the IT team and manager to influence business decisions through data analysis - Work with customers to analyze data support needs and communicate findings to stakeholders - Present data and analysis in appropriate formats for varied audience using data visualization methods - Utilize strong database skills to work with large, complex data sets and extract insights - Identify new technology opportunities impacting enterprise-wide data analytics systems - Perform adhoc analysis for a wide range of requests using data in different formats and platforms Qualifications Required: - Minimum 5 years of experience in Business Intelligence systems, Data Warehousing, Data Analytics solution implementation - Bachelor's degree in Business, Engineering, or a related field - Hands-on experience in developing Power BI visualization reports and utilization of DAX for data manipulation - Advanced working knowledge of data mining using ETL, data warehouse, and Excel - Understanding of data warehousing, data modeling concepts, and building new DW tables - Excellent communication (verbal and written) and interpersonal skills - Proficiency in and prior implementation experience with at least one of the following programming languages: Python, R, or Java - Direct Customer handling experience is a plus,

As a Sr. Tableau Lead Developer, your role involves participating in the establishment and implementation of new or revised application systems and programs in coordination with the Technology team. Your main objective is to contribute to applications systems analysis and programming activities. Key Responsibilities: - Possess 8-12 years of experience in Business Intelligence, data visualization, and Tableau-specific delivery projects - Design, develop, architect, and administrate Tableau solutions for enterprise customers - Handle End-to-End Life cycle of Data Visualization including Proof of concept, Product Requirements Understanding, Data Analysis, Data Mining, Data Preparation, Creating Interactive/Dynamic Dashboards, Unit Testing, and Deployments - Utilize Tableau Prep and Data Modeling based on Tableau best practices - Proficiency with various charts, tables, filters, parameters, table calculations, LODs, and blending - Demonstrate deep Dashboard design and development experience - Apply design thinking to translate data into easily-digestible and highly-visual dashboards applications and executive level report deliverables - Showcase strong analytical and problem-solving skills - Proficient in SQL - Knowledge of data warehousing concepts and software development lifecycle principles is a plus - Results-driven with the ability to take initiatives, handle multiple tasks and shifting priorities, and meet deadlines - Respond to business/technical queries from team members and onsite partners - Coach, guide, and mentor junior team members - Collaborate cross-functionally with leadership, program managers, and stakeholders to understand and achieve business priorities - Possess excellent written and oral communication skills - Working experience in a similar data management domain is beneficial Qualifications: - Possess 8+ years of relevant experience - Experience in systems analysis and programming of software applications - Experience in managing and implementing successful projects - Working knowledge of consulting/project management techniques/methods - Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements Education: - Bachelors degree/University degree or equivalent experience This job description provides a high-level overview of the work performed. Other job-related duties may be assigned as required.,

Role Overview: KLA is seeking a Data Scientist/ML Engineer with expertise in NLP, statistics, and Conversational AI. The ideal candidate will be proficient in Statistical Modelling, Machine Learning algorithms, and Conversational AI, with a strong background in data mining and running simulations. You will have a passion for uncovering solutions within large datasets and collaborating with business partners to enhance business outcomes. Key Responsibilities: - Build end-to-end ML systems, including traditional ML models and Conversational AI, and deploy them at scale. - Research and develop innovative statistical models and ML models for data analysis. - Develop and maintain RAG (Retrieval-Augmented Generation) applications, implementing algorithm changes to enhance AI performance. - Utilize predictive modeling to optimize customer service experience and supply chain efficiency. - Identify data patterns through statistical modeling, create custom data models and algorithms for data sets. - Collaborate with business partners across the organization to leverage company data for solutions. - Work with project managers to define objectives for AI systems. Qualifications Required: - Bachelor's degree (or equivalent) in computer science, statistics, applied mathematics, or related field. - Experience in solving problems with Conversational AI in a production environment within the High-tech Manufacturing Industry. - 2+ years of experience in Python and ML packages (NumPy, Keras, Seaborn, Scikit-learn). - Strong understanding of machine learning techniques and algorithms such as Regression models, kNN, SVM, NB, Decision Trees. - Expertise or familiarity with one or more deep learning frameworks like TensorFlow, PyTorch.,

You will be responsible for analyzing large datasets to extract insights, predict trends, and support business decisions using data science methodologies including machine learning, predictive modeling, statistics, and advanced analytics. Key Responsibilities: - Understand business problems and translate them into analytical approaches. - Develop ML and statistical models, hypotheses, and experiments for decision support. - Apply data mining, predictive/prescriptive modeling, and advanced analytics techniques. - Design data pipelines, augmentation, and scalable model workflows for automation. - Create dashboards and visualizations to communicate findings effectively. - Collaborate with cross-functional teams to integrate models into production. Qualification Required: - 3-5 years of experience in data science and ML model development. - Stay updated with new tools, frameworks, and methodologies in data science and ML. - Strong communication skills. The company, TekWissen Group, is an equal opportunity employer supporting workforce diversity.,

Role Overview: As a Machine Learning Engineer, you will utilize your expertise in Natural Language Processing (NLP), Computer Vision, Data Extraction, and Data Mining. Your proficiency in Python, Regular Expressions (Regex), SQL, PyTorch, Kubernetes, Git, and CI/CD pipeline management will be crucial. Your strong research capabilities will enable you to deliver high-quality results within fast-paced environments and tight deadlines. Your analytical and problem-solving skills will play a crucial role in the success of your projects. Key Responsibilities: - Model Development: - Design, develop, and implement NLP models and data mining algorithms for various applications. - Conduct experiments to optimize model performance and ensure robustness. - Data Preparation: - Collaborate with data engineers to gather, clean, and preprocess data for model training and evaluation. - Utilize tools and libraries for efficient data handling and feature engineering. - Packaging and Deployment: - Package machine learning models into scalable and maintainable services using best practices. - Deploy models into production environments using Kubernetes and Docker. - CI/CD Pipeline: - Design and implement CI/CD pipelines for automated testing, validation, and deployment of machine learning models. - Integrate version control best practices using Git to manage code and model versions effectively.,

A mining engineer plans, designs, and operates mines to extract natural resources, ensuring operations are safe, efficient, and environmentally responsible. Their responsibilities include analyzing geological data, designing mine layouts and infrastructure, developing extraction methods, monitoring production, managing equipment, overseeing construction and reclamation, and ensuring compliance with safety and environmental regulations. They work collaboratively with geologists, surveyors, and other specialists to balance resource extraction with sustainability.   Key Responsibilities Mine Design & Planning: Designing both open-pit and underground mines, including planning mine shafts, tunnels, and overall mine layouts.  Resource Assessment: Analyzing geological and geotechnical data to assess the viability of potential mine sites.   Extraction & Operations: Developing and implementing efficient and safe methods for extracting minerals and metals.  Equipment Design & Management: Designing and overseeing the operation of mining equipment, such as drills and haul trucks.  Safety & Environmental Oversight: Ensuring operations comply with safety regulations, implementing safety measures, and minimizing environmental impact through responsible practices and reclamation planning.  Monitoring & Optimization: Tracking production to assess operational effectiveness, identifying trends, and optimizing processes.  Reporting: Preparing technical reports for management and other engineers on mine production and operations.   Common Tasks  Inspecting and testing mining equipment. Analyzing ore deposits. Performing mine surveys and interpreting maps. Coordinating with geologists, environmental scientists, and surveyors. Managing construction of mine structures. Developing plans for land reclamation after mining operations conclude. Work Environment A mix of office-based work (planning, design, reports) and fieldwork on mine sites.  Often involves work in remote locations, though some positions are available near urban areas.  Collaboration with a multidisciplinary team of professionals.   

This is your chance to let prospective analysts know what you have to offer new hires and set your posting apart from the rest by catering your recruiting pitch to the ideal candidate. ResponsibilitiesDevelops and manages information to support corporate decision making.Manages and improves existing reporting systems.Performs complex analyses.Conducts and facilitates (and educates and trains on) analyses, issues identification, organizational risk assessment, and decision-making processes.Provides consulting and analytic services to leadership.Provides technical support and mentoring and training to less-senior analysts.Develops methodology and processes for prioritization and scheduling of projects.Analyzes problems and determines root causes.Defines company data assets (data models), spark, sparkSQL, and hiveSQL jobs to populate data models.Works closely with all business units and engineering teams to develop strategy for long term data platform architecture. Other DetailsSalary-41,000/- to 75,000/-Required Experience-0 To 4 YearsMinimum Age-18 RequirementsQualification Required-BCA,MCA,BBA.MBA,PHD,PGDM,All GraduateBachelor's degree in Statistics, Mathematics, Computer Science, Economics, or related field.Master's degree preferred.Work Department-Data AnalystWork Industry-IT,Automation,Banking,Finance,Education,Telecom,Skills- Knowledge of machine learning and data mining techniques is desirable.for more clarification contact to this number-7428595632 Also Share Your CV - RegardsHR Placement Team

We are looking for a guru Environmental Engineer to use the principles of engineering, soil science, biology, and chemistry to develop technically sound solutions to environmental problems. You will be involved in efforts to grow compliance with environmental public policy, optimize the utilization of resources and improve the quality of surrounding environment. Responsibilities Provide system and component design that reduce negative impact on environment Serve as a technical advisor on environmental policies and standards to ensure regulatory applicability Conduct research and technical audits on environmental impact of project, analyze data and perform quality control checks Develop resources management schemes Provide systems technical evaluation Integrate latest technologies into systems Address problems and develop environmental solutions to prevent damage Collaborate with scientists, planners and experts Monitor progress and provide recommendations reports Document and maintain plans, requirement, protocols, permits and standard operating procedures Achieve quality, sales, revenue and profitability goals  

We are looking for an experienced Process Engineer to be responsible for the process design, operation and implementation. The successful candidate will be able to improve industrial processes in order to maintain efficiency, reduce cost, improve sustainability and maximize profitability. Responsibilities Develop, configure and optimize industrial processes from inception through to start up and certification Assess processes, take measurements and interpret data Design, run, test and upgrade systems and processes Develop best practices, routines and innovative solutions to improve production rates and quality of output Perform process simulations Manage cost and time constraints Perform risk assessments Provide process documentation and operating instructions