About Holcim: As the world’s global leader in innovative and sustainable building materials, Holcim is reinventing the way the world builds. Supported by a 60,000-strong global team spread across 60 countries and four industry segments (Cement, Aggregates, Ready-Mix Concret and Solutions & Products), we are committed to shaping a greener, smarter and healthier world. It’s our ambition to lead the industry in reducing carbon emissions and accelerating the transition towards low-carbon constructions globally. To enable and support our business, Holcim have setup the Group’s Center of Excellence for Advanced Analytics and AI – which encompasses Data Science, Data Engineering, Cloud Platforms Engineering and Business Intelligence. The Group CoE supports Holcim’s Businesses, Functions and OpCos Globally Job Title: Data Science Specialist Job Location: Remote/Work from home Education: Education / Qualification BE / B. Tech in Computer Science, Engineering or relevant STEM fields Graduate degree in Data Science or other quantitative field is preferred Strong mathematics skills (e.g. statistics, algebra) Certification in Cloud Analytics Platforms – AWS must The Manager- Data Science will be part of the Group’s Global Advanced Analytics CoE and will play a key role in enabling our Businesses for Insights Driven Operations and Decision making – leveraging cutting edge Analytics tools and techniques Data Scientist (Individual Contributor initially, with potential to move into a People Management role with strong performance) Responsibilities: Work with Business / Domain SMEs, understand pain and opportunity areas and create analytical models to identify patterns and predict outcomes of key business processes Identify the appropriate modeling technique(s) and use Machine Learning and Deep Learning Algorithms to develop self-correcting models and algorithms, validate results from the business perspective and identify levers to improve outcomes Collaborate with Product Development teams to industrialize AI / ML models and conduct rapid and iterative prototyping of minimum viable solutions Test hypothesis on raw datasets and build meaningful and conclusive insights to identify new opportunity areas. Work on all aspects of data including data acquisition, data exploration, feature engineering, building and optimizing models etc. Develop and deploy Gen AI Solutions Design full stack ML solutions in a distributed computing environment -AWS (preferred) and GCP. If needed develop ML solutions to be deployed on the edge (like actuators in plants) or mobiles Your Experience: Total experience of 12-15 years (relevant Analytics experience atleast ~ 8 years) Industry Experience and knowledge especially in Manufacturing/ Operations Functions in a Building Material Industry, Manufacturing, Process or Pharma preferred Handson experience in statistical and data sceience techniques Knowledge and experience in developing and deploying Gen AI Solutions Required Skills: 8+ years of handson experience in advanced Machine Learning & Deep Learning techniques and algorithms such as Decision Trees, Random Forests, SVMs, Regression, Clustering, Neural Networks, CNNs, RNNs, LSTMs, Transformers, etc. 6+ years of experience in experience in statistical computer languages (Python, PySpark etc.) to manipulate data and draw insights from large data sets 5+ years of experience in Cloud platforms like AWS with specific experience of leveraging AWS services and deploying AI / ML models on these platforms. Experience in DL frameworks such as TensorFlow, Keras or PyTorch Familiarity with business intelligence tools (e.g. Qlikview) and data frameworks will be an added advantage Show more Show less

Job Title: Google Cloud (GCP) Data Engineer Location: Hybrid (Bengaluru) Job Type: Full-Time Experience Level: Minimum 9 years + Joining: Immediate / 1 week Client: HSBC Mandatory Skills: GCS + Google BigQuery + Airflow/Composer + Python Company Description: Tech T7 Innovations is a company that provides IT solutions to clients worldwide. The team consists of highly skilled and experienced professionals who are passionate about IT. Tech T7 Innovations offers a wide range of IT services, including software development, web design, cloud computing, cybersecurity, data engineering, data science and machine learning. The company is committed to staying up-to-date with the latest technologies and best practices to deliver the best solutions to their clients. Job Summary: We are looking for a highly experienced GCP Data Engineer with 11+ years in data engineering, and a proven track record of designing, building, and optimizing scalable data pipelines and architectures on Google Cloud Platform (GCP) . The ideal candidate is hands-on with Google Cloud Storage (GCS) , BigQuery (BQ) , Apache Airflow , and Python , and is adept at managing complex data workflows and transformations at scale. Key Responsibilities: Design and implement highly scalable, reliable, and secure data pipelines on GCP using GCS, BigQuery, and Airflow. Develop robust ETL/ELT processes using Python and integrate with data orchestration tools (e.g., Airflow). Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and deliver high-quality solutions. Optimize BigQuery performance through efficient schema design, partitioning, clustering, and query optimization. Manage and maintain data lake and data warehouse environments ensuring data integrity and availability. Automate and monitor data pipelines to ensure consistent and reliable data delivery. Contribute to architecture decisions and ensure adherence to data governance and security standards. Mentor junior engineers and promote best practices in data engineering and cloud usage. Must-Have Skills: Google Cloud Platform (GCP): In-depth experience with core services like GCS, BigQuery, IAM, and Cloud Functions. BigQuery (BQ): Expertise in data modeling, performance tuning, and large-scale analytics. Google Cloud Storage (GCS): Strong understanding of data storage, access patterns, and integration. Apache Airflow: Experience in authoring and managing DAGs for complex workflows. Python: Proficient in scripting and automation, including working with APIs, data processing libraries (e.g., pandas, PySpark), and custom operators in Airflow. Preferred Qualifications: Experience with CI/CD pipelines for data workflows. Exposure to Dataflow, Pub/Sub, or other GCP data services. Familiarity with Terraform or Infrastructure as Code (IaC) on GCP. Strong problem-solving and communication skills. GCP certifications (e.g., Professional Data Engineer) are a plus. Job Types: Full-time, Permanent Pay: ₹2,000,000.00 - ₹3,000,000.00 per year Benefits: Health insurance Provident Fund Work from home Schedule: Day shift Supplemental Pay: Performance bonus Experience: gcp: 9 years (Required) gcs: 9 years (Required) Apache Airflow: 9 years (Required) Python: 9 years (Preferred) Location: Bengaluru, Karnataka (Required) Work Location: In person

Introduction In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology Your Role And Responsibilities As Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You’ll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you’ll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you’ll tackle obstacles related to database integration and untangle complex, unstructured data sets. In This Role, Your Responsibilities May Include Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviour’s. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Preferred Education Master's Degree Required Technical And Professional Expertise Expertise in designing and implementing scalable data warehouse solutions on Snowflake, including schema design, performance tuning, and query optimization. Strong experience in building data ingestion and transformation pipelines using Talend to process structured and unstructured data from various sources. Proficiency in integrating data from cloud platforms into Snowflake using Talend and native Snowflake capabilities. Hands-on experience with dimensional and relational data modelling techniques to support analytics and reporting requirements Preferred Technical And Professional Experience Understanding of optimizing Snowflake workloads, including clustering keys, caching strategies, and query profiling. Ability to implement robust data validation, cleansing, and governance frameworks within ETL processes. Proficiency in SQL and/or Shell scripting for custom transformations and automation tasks Show more Show less

About Us: Our mission at micro1 is to match the most talented people in the world with their dream jobs. If you are looking to be at the forefront of AI innovation and work with some of the fastest growing companies in Silicon Valley, we invite you to apply for a role. By joining the micro1 community, your resume will become visible to top industry leaders, unlocking access to the best career opportunities on the market. Role Overview: Join for one of our top customer as a skilled AI Engineer you will design, develop, and deploy machine learning models and systems that drive our products and enhance user experiences. You will work closely with cross-functional teams to implement cutting-edge AI solutions, including recommendation engines and large language models. Key Responsibilities: Design and implement robust machine learning models and algorithms, focusing on recommendation systems. Conduct data analysis to identify trends, insights, and opportunities for model improvement. Collaborate with data scientists and software engineers to build and integrate end-to-end machine learning systems. Optimize and fine-tune models for performance and scalability, ensuring seamless deployment. Work with large datasets using SQL and Postgres to support model training and evaluation. Implement and refine prompt engineering techniques for large language models (LLMs). Stay current with advancements in AI/ML technologies, particularly in core ML algorithms like clustering and community detection. Monitor model performance, conduct regular evaluations, and retrain models as needed. Document processes, model performance metrics, and technical specifications. Required Skills and Qualifications: Bachelors or Master’s degree in Computer Science, Data Science, or a related field. Strong expertise in Python and experience with machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Proven experience with SQL and Postgres for data manipulation and analysis. Demonstrated experience building and deploying recommendation engines. Solid understanding of core machine learning algorithms, including clustering and community detection. Prior experience in building end-to-end machine learning systems. Familiarity with prompt engineering and working with large language models (LLMs). Experience working with near-real-time recommendation systems Any graph databases hands-on experience like Neo4j, Neptune, etc Experience in Flask or Fast API frameworks Experience with SQL to write/modify/understand the existing queries and optimize DB connections Experience with AWS services like ECS, EC2, S3, Cloudwatch Preferred Qualifications: Experience with Graph DB (specifically Neo4J and cypher query language) Knowledge of large-scale data handling and optimization techniques. Experience with Improving models with RLHF Show more Show less

About Us: Our mission at micro1 is to match the most talented people in the world with their dream jobs. If you are looking to be at the forefront of AI innovation and work with some of the fastest growing companies in Silicon Valley, we invite you to apply for a role. By joining the micro1 community, your resume will become visible to top industry leaders, unlocking access to the best career opportunities on the market. Role Overview: Join for one of our top customer as a skilled AI Engineer you will design, develop, and deploy machine learning models and systems that drive our products and enhance user experiences. You will work closely with cross-functional teams to implement cutting-edge AI solutions, including recommendation engines and large language models. Key Responsibilities: Design and implement robust machine learning models and algorithms, focusing on recommendation systems. Conduct data analysis to identify trends, insights, and opportunities for model improvement. Collaborate with data scientists and software engineers to build and integrate end-to-end machine learning systems. Optimize and fine-tune models for performance and scalability, ensuring seamless deployment. Work with large datasets using SQL and Postgres to support model training and evaluation. Implement and refine prompt engineering techniques for large language models (LLMs). Stay current with advancements in AI/ML technologies, particularly in core ML algorithms like clustering and community detection. Monitor model performance, conduct regular evaluations, and retrain models as needed. Document processes, model performance metrics, and technical specifications. Required Skills and Qualifications: Bachelors or Master’s degree in Computer Science, Data Science, or a related field. Strong expertise in Python and experience with machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Proven experience with SQL and Postgres for data manipulation and analysis. Demonstrated experience building and deploying recommendation engines. Solid understanding of core machine learning algorithms, including clustering and community detection. Prior experience in building end-to-end machine learning systems. Familiarity with prompt engineering and working with large language models (LLMs). Experience working with near-real-time recommendation systems Any graph databases hands-on experience like Neo4j, Neptune, etc Experience in Flask or Fast API frameworks Experience with SQL to write/modify/understand the existing queries and optimize DB connections Experience with AWS services like ECS, EC2, S3, Cloudwatch Preferred Qualifications: Experience with Graph DB (specifically Neo4J and cypher query language) Knowledge of large-scale data handling and optimization techniques. Experience with Improving models with RLHF Show more Show less

Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We’re building a more open world. Join us. This role is part of the Home team within the Product Analytics and Experimentation organization. The team supports the Product team by providing insights and incrementally measurement to help inform decisions on product features. Our team is looking for an established performer who consistently applies analytical capabilities, principles, and playbooks to solve business problems, with moderate guidance and direction. The role involves regular interaction with stakeholders up to the Senior Manager level. In This Role, You Will Extract and integrate data from multiple sources to support model building and analytics. Design and recommend both simple and complex experiments (e.g., A/B, pre/post, causal impact) to address business questions. Build basic models (e.g., linear, logistic, clustering) and select appropriate data structures and formats. Develop and maintain basic data pipelines and workflows that support modeling tasks. Work with stakeholders in an iterative, collaborative process to refine project scope and requirements. Apply business knowledge to shape modeling questions, select features, and guide decisions. Deliver clear and concise data stories and visualizations that support decision-making. Automate recurring reporting and dashboarding tasks across multiple platforms (web, app, geo). Share documentation, code, and project artifacts (e.g., executive summaries, tech docs, visualizations) with relevant audiences. Communicate project goals, methods, caveats, and insights to both technical and non-technical stakeholders. Collaborate openly with analytics peers through brainstorming, peer review, and knowledge sharing. Train and enable stakeholders to use dashboards and self-service tools; promote data literacy. Troubleshoot and resolve data issues and ensure efficient query and pipeline performance. Uphold best practices for code sharing and documentation using tools like GitHub, IEX, and Confluence. Continuously seek feedback and apply it to improve current and future projects. Experience Experience and qualifications: 1-2 years of experience in a data analytics role for Bachelor’s/Master’s graduates (preferably in Mathematics or a scientific discipline), or 2+ years in a comparable professional setting. Proven track record of delivering data-driven insights and recommendations that led to business impact or performance improvements. Technical Skills Intermediate proficiency in R, Python, or SQL for analyzing, structuring, and visualizing large datasets. Competent in extracting, transforming, and combining data from multiple sources. Able to build basic models (e.g., linear/logistic regression, clustering) and support them with appropriate data formats. Experienced in writing efficient, reusable code and creating basic data pipelines. Familiarity with tools like GitHub, IEX, and Confluence for code sharing and documentation. Working knowledge of query optimization and data quality best practices. Statistical & Analytical Knowledge Basic understanding of probability, descriptive statistics (e.g., ANOVA, regression), and frequentist concepts. Ability to design and interpret experiments (e.g., A/B, pre/post, causal impact). Capable of framing business problems as analytical tasks and selecting suitable methodologies. Business & Domain Knowledge Strong business acumen with the ability to align analytics to strategic objectives. Understanding of key data sources, their business context, and appropriate use in modeling. Ability to identify relevant features and guide model design decisions. Communication & Collaboration Strong communication and influencing skills, with experience tailoring insights to both technical and non-technical audiences. Skilled in creating clear, audience-appropriate data visualizations, with awareness of inclusive design principles. Collaborative team player open to feedback, peer review, and knowledge sharing. Mindset & Problem Solving Demonstrated critical thinking and curiosity with a proactive, solutions-focused approach. Comfortable working iteratively and independently, adjusting based on feedback and findings. Strong skills in information gathering, problem solving, and continuous learning. Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia Group's family of brands includes: Brand Expedia®, Hotels.com®, Expedia® Partner Solutions, Vrbo®, trivago®, Orbitz®, Travelocity®, Hotwire®, Wotif®, ebookers®, CheapTickets®, Expedia Group™ Media Solutions, Expedia Local Expert®, CarRentals.com™, and Expedia Cruises™. © 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50 Employment opportunities and job offers at Expedia Group will always come from Expedia Group’s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you’re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs. Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age. Show more Show less

Altera, a member of the N. Harris Computer Corporation family, delivers health IT solutions that support caregivers around the world. These include the Sunrise™, Paragon®, Altera TouchWorks®, Altera Opal, STAR™, HealthQuest™ and dbMotion™ solutions. At the intersection of technology and the human experience, Altera Digital Health is driving a new era of healthcare, in which innovation and expertise can elevate care delivery and inspire healthier communities across the globe. A new age in healthcare technology has just begun. Purpose of Role Follow standard practices and procedures in analyzing situations or data for resolutions. Maintain strong liaisons with internal IT and Development Organizations. Work on operational activities such as Incidents & Requests and eventually grow more into Project/ Development areas and more complex work in the Logic Monitor area. Proficient with utilizing their skills with ITIL and Windows Event Logs. Job Description Responsibilities : This resource is expected to deliver the day-to-day configuration management services to the organization with minimal direction, focusing work on prioritized tasks. Their specific responsibilities include: Preferably to have ITIL foundation knowledge/ experience. Working experience and Strong knowledge on Event Management, Incident Management, MI's, System Outages and how ITIL must be applied in the process of Incident Management. Support experience in configuration Management and understanding of PowerShell Scripting with some development background. Integration experience with ServiceNow, Chef and network automation tools. Basic understanding of scripting and ability to write basic scripts. Strong understanding of Windows Event Logs. Operational experience with utilization of monitoring tools and good understanding/ working experience with tracing health of agents/ collectors and support. Good understanding on windows servers, different types of services, clustering etc. MCSA Certification may be a plus. Understanding different types of databases and ability with running queries. Mandatory skills around analytics, system issue troubleshooting, ability with understanding error logs, investigating issues to get system up and running with maintaining maximum system up-time. Experience in Linux/Windows/Network administration and operations is desirable. Additional Competencies 5+ years of administrating enterprise Windows and Virtual Environment. Working knowledge of SQL server 2014, 2016, Always On. Sound knowledge on Various Operating systems flavors, System files, Registry. Logic-Monitor Engine, Collector, Logic-Monitor dashboards, Configuration Management. Understanding on QoS, Multicast, MPLS, Traffic, IP Telephony, Performance. Understanding of Cisco IP SLA, NetFlow, Multicast and VOIP. Experience in Linux/Windows/Network administration and operations is desirable. Experience with monitoring solutions and/or associated protocols (WMI, SNMP, JDBC, HTTP, etc.) Experience with monitoring solutions and/or associated protocols (WMI, SNMP, JDBC, HTTP, etc.) Must have experience with IIS, Clustering & File & different services. Experience with Patching & Security remediation, AD and Domain services Experience with monitoring tools and antivirus will be an added advantage. Knowledge of Data Center operations and vendor handling. Exceptional troubleshooting, written and oral communication skills. Altera is an Equal Opportunity/Affirmative Action Employer. We consider applicants without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, or membership in any other group protected by local law. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at: HR.Recruiting@AlteraHealth.com Show more Show less

Altera, a member of the N. Harris Computer Corporation family, delivers health IT solutions that support caregivers around the world. These include the Sunrise™, Paragon®, Altera TouchWorks®, Altera Opal, STAR™, HealthQuest™ and dbMotion™ solutions. At the intersection of technology and the human experience, Altera Digital Health is driving a new era of healthcare, in which innovation and expertise can elevate care delivery and inspire healthier communities across the globe. A new age in healthcare technology has just begun. Purpose of Role Follow standard practices and procedures in analyzing situations or data for resolutions. Maintain strong liaisons with internal IT and Development Organizations. Work on operational activities such as Incidents & Requests and eventually grow more into Project/ Development areas and more complex work in the Logic Monitor area. Proficient with utilizing their skills with ITIL and Windows Event Logs. Job Description Responsibilities : This resource is expected to deliver the day-to-day configuration management services to the organization with minimal direction, focusing work on prioritized tasks. Their specific responsibilities include: Preferably to have ITIL foundation knowledge/ experience. Working experience and knowledge on Event Management, Incident Management, MI's, System Outages and how ITIL must be applied in the process of Incident Management. Support experience in configuration Management and understanding of PowerShell Scripting with some development background. Integration experience with ServiceNow, Chef and network automation tools. Basic understanding of scripting and ability to write basic scripts. Strong understanding of Windows Event Logs. Operational experience with utilization of monitoring tools and good understanding/ working experience with tracing health of agents/ collectors and support. Good understanding on windows servers, different types of services, clustering etc. MCSA Certification may be a plus. Understanding of different types of databases and ability with running queries. Mandatory skills around analytics, system issue troubleshooting, ability with understanding error logs, investigate issue to get system up and running with maintaining maximum system up-time. Experience in Linux/Windows/Network administration and operations desirable. Additional Competencies 2-3 years of administrating enterprise Windows and Virtual Environment. Working knowledge of SQL server 2014, 2016, Always On. Sound knowledge on Various Operating systems flavors, System files, Registry. LogicMonitor Engine, Collector, LogicMonitor dashboards, Configuration Management. Understanding on QoS, Multicast, MPLS, Traffic, IP Telephony, Performance. Understanding of Cisco IP SLA, NetFlow, Multicast and VOIP. Experience in Linux/Windows/Network administration and operations desirable. Experience with monitoring solutions and/or associated protocols (WMI, SNMP, JDBC, HTTP, etc.) Experience with monitoring solutions and/or associated protocols (WMI, SNMP, JDBC, HTTP, etc.) Must have experience with IIS, Clustering & File & different services. Experience with Patching & Security remediation, AD and Domain services Experience with monitoring tools and antivirus will be added advantage. Knowledge of Data Center operations and vendor handling. Exceptional troubleshooting, written and oral communication skills. Altera is an Equal Opportunity/Affirmative Action Employer. We consider applicants without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, or membership in any other group protected by local law. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at: HR.Recruiting@AlteraHealth.com Show more Show less

Job Title: GN - SC&O - S&P – Spend Analytics – Senior Data Scientist Management Level: 8 – Associate Manager Location: Gurgaon Must have skills: Data Handling, Data Classification, AI/ML Good to have Skills: Data Mining, Python Job Summary: As an Associate Manager in Spend Analytics and Senior Data Scientist, you will be responsible for leading the design, development, and implementation of AI/ML-powered procurement and analytics solutions. You will be working closely with cross-functional teams to conceptualize and deploy platforms that identify cost-saving opportunities, enhance supplier management, and deliver business intelligence to enterprise clients. Roles and Responsibilities: Data Handling Data Collection: Participate in calls with stakeholders (internal and external, based in the US) to gather data from various sources (email, Dropbox, Egnyte, databases). Data Audit: Lead assessment of data quality, identify gaps, and create summaries as per database requirements. Data Scrubbing: Assist with creating data cleansing rules and incorporate data clarifications provided by data source owners. Data Profiling: Assist with creating multi-dimensional data views, data analysis reports, and extracts. Data Classification: Spend Classification: Analyze procurement spend using several techniques to comprehensively classify into a custom taxonomy in Accenture’s spend analytics tool. Enhancements: Diligently incorporate feedback and make recommendations for process improvement. Report Generation: Create specific and opportunity spend-assessment reports/templates. Periodic Refreshes: Lead discussions with US-based stakeholders for data gathering, data quality checks, control total validation, and spend classification. Advanced Analytics and AI/ML Develop custom data models and algorithms to apply to data sets. Use machine learning tools and statistical techniques to produce solutions to problems. Implement clustering and auto classification using predictive and supervised learning techniques. Design and implement complex data models from scratch. Develop and optimize ETL processes to ensure efficient data handling and processing. Create intuitive and effective front-end interfaces from scratch. Apply AI/ML techniques to optimize supply chain management, including demand forecasting, inventory optimization, and supplier performance analysis. Utilize advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc. Develop and implement AI/ML models for predictive analytics and automated decision-making in supply chain operations. Industry Research Secondary Research: Conduct market research to create company and industry primers using online secondary data or information sources. Professional And Technical Skills Python: Hands-on experience with threading limitations and multi-process architecture. MySQL: Ability to integrate multiple data sources using MySQL. Strong coding knowledge and experience with several languages (e.g., R, SQL, JavaScript, Java, CSS, C++). Familiarity with statistical and data mining techniques (e.g., GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis). Experience with advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc. Coordinate with different functional teams to implement models and monitor outcomes. Develop processes and tools to monitor and analyze model performance and data accuracy. Excellent spoken and written English communication skills, with the ability to participate in global team calls. Additional Information: Work Experience: 9-11 years of relevant experience in data modeling, ETL automation, AI/ML, and front-end design. Academic Qualifications: Bachelor’s or Master’s degree in Engineering, Mathematics, Computer Science, or a related field. Extensive experience in handling and classifying spend data using AI/ML Techniques. Strong leadership and team management skills. Proficiency in MS Excel and MS PowerPoint. High attention to detail, accuracy, and innovative problem-solving skills. Preferred experience in supply chain management, with a focus on applying AI/ techniques to optimize operations. About Our Company | Accenture Experience: 9+ years Educational Qualification: Bachelor’s or Master’s degree Show more Show less

Amex GBT is a place where colleagues find inspiration in travel as a force for good and – through their work – can make an impact on our industry. We’re here to help our colleagues achieve success and offer an inclusive and collaborative culture where your voice is valued. What You’ll Be Doing: Utilize AI techniques, including machine learning, deep learning, generative AI, and statistical modeling, to develop and implement mathematical models and algorithms for solving real-world problems such as ranking, chatbot, intent recognition, recommender systems, computer vision, NLQ etc. Apply strong coding skills, analytical abilities, and innovative thinking to quickly understand new domains and transform creative ideas into functional solutions. Employ statistical and data science methods to make data-driven decisions. Manipulate large data sets for business insights and drive actionable solutions. Utilize appropriate methods and approaches to develop practical solutions for the business. Structure work, frame issues, and produce analyses/ML models that answer complex business questions in a pragmatic approach. Communicate complex data science topics in a clean & simple way to multiple partners and senior leadership. Collaborate with a global team across different continents to achieve project goals. What We’re Looking For: 6+ years of experience with a bachelor’s degree or equivalent, or 3+ years with a master’s degree or equivalent. Proven ability to conceptualize business problems and solve them through data science solutions. Strong passion for solving problems and finding patterns and insights within structured and unstructured data. Industry experience in leveraging AI techniques on real-world large data sets. Understanding of the concepts and steps involved in working with real-world large data sets: from domain-specific problem understanding, data preparation, travel-related data processing, feature engineering, data structures for ML, data pipelining, modeling, and evaluation. Proven knowledge of AI techniques such as Bayesian methods, Clustering, Ensemble tree models, NLP, etc., with an excellent grasp of statistical concepts and methods. Basic understanding of LLMs, guardrails, and RAG. Strong knowledge of hands-on practice in Python. Familiarity with popular machine learning libraries and frameworks such as scikit-learn, Hugging Face, PyTorch and TensorFlow. Comfortable with pulling and manipulating data using SQL and PySpark. Good written and oral communication skills, including the ability to communicate across business areas and increase overall knowledge across the organization. Experience with feature stores, data science as an API service, and monitoring dashboards is a plus. Some infrastructure knowledge (AWS, Kubernetes) and cost-awareness is a plus. Location Gurgaon, India The #TeamGBT Experience Work and life: Find your happy medium at Amex GBT. Flexible benefits are tailored to each country and start the day you do. These include health and welfare insurance plans, retirement programs, parental leave, adoption assistance, and wellbeing resources to support you and your immediate family. Travel perks: get a choice of deals each week from major travel providers on everything from flights to hotels to cruises and car rentals. Develop the skills you want when the time is right for you, with access to over 20,000 courses on our learning platform, leadership courses, and new job openings available to internal candidates first. We strive to champion Inclusion in every aspect of our business at Amex GBT. You can connect with colleagues through our global INclusion Groups, centered around common identities or initiatives, to discuss challenges, obstacles, achievements, and drive company awareness and action. And much more! All applicants will receive equal consideration for employment without regard to age, sex, gender (and characteristics related to sex and gender), pregnancy (and related medical conditions), race, color, citizenship, religion, disability, or any other class or characteristic protected by law. Click Here for Additional Disclosures in Accordance with the LA County Fair Chance Ordinance. Furthermore, we are committed to providing reasonable accommodation to qualified individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the hiring process. For details regarding how we protect your data, please consult the Amex GBT Recruitment Privacy Statement. What if I don’t meet every requirement? If you’re passionate about our mission and believe you’d be a phenomenal addition to our team, don’t worry about “checking every box;" please apply anyway. You may be exactly the person we’re looking for! Show more Show less

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities. Job Description Summary: What you need to know about the role Each Data Analyst on this team has full ownership of a portfolio of a product and is responsible for end-to-end management of loss and decline rates. Day-to-day duties include data analysis, monitoring and forecasting, creating the logic for and implementing risk rules and strategies, providing requirements to data scientists and technology teams on attribute, model and platform requirements, and communicating with global stakeholders to ensure we deliver the best possible customer experience while meeting loss rate targets. Meet our team PayPal's Global Fraud Protection team is responsible for partnering with global business units to manage a variety of risk of various types, including identity fraud, account takeover, stolen financial fraud, and credit issues. This is an exciting department that plays an important role in contributing PayPal's bottom line financial savings, ensuring safe and secure global business growth, and delivering the best customer experience. This open opportunity is within the Large Merchant and Markets Fraud Risk team. This portfolio is comprised of PayPal’s newest leading-edge payments solutions, such as Risk-as-Service, Fastlane, PayPal Complete Payments, etc. as well as customized experiences developed for the company’s highest-priority strategic Markets and Partnerships. Job Description: Your way to impact You will be the Data Analyst in the Fraud Risk team , where you will work on leading new projects to build and improve the Risk strategies to prevent fraud using the Risk tooled and custom data & AL/ML models. In this position, you will be partnering with the corresponding Business Units to align with and influence their strategic priorities, educate business partners about Risk management principles, and collaboratively optimize the Risk treatments and experiences for these unique products and partners. Your day to day In your day to day role you will - In this role you will have full ownership of a portfolio of merchants and is responsible for end-to-end management of loss and decline rates. Collaborate with different teams to develop strategies for fraud prevention, loss savings, and optimize transaction declines or improve customer friction. You will work together with cross-functional teams to deliver solutions and providing Risk analytics on frustration trend/ KPIs monitoring or alerting for fraud events. These solutions will adapt PayPal’s advanced proprietary fraud prevention tools enabling business growth. What Do You Need To Bring- 2-4 years of relevant experience working with large-scale complex dataset. Strong analytical mindset, ability to decompose business requirements into an analytical plan, and execute the plan to answer those business questions Excellent communication skills, equally adept at working with engineers as well as business leaders Want to build new solutions and invent new approaches to big, ambiguous, critical problems Strong working knowledge of Excel, SQL and Python/R Technical Proficiency: Exploratory Data Analysis and expertise in preparing a clean and structured data for model development. Experience in applying AI/ML techniques for business decisioning including supervised and unsupervised learning (e.g., regression, classification, clustering, decision trees, anomaly detection, etc.). Knowledge of model evaluation techniques such as Precision, Recall, ROC-AUC Curve, etc. along with basic statistical concepts. For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits: At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you. We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com Who We Are: To learn more about our culture and community visit https://about.pypl.com/who-we-are/default.aspx Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com. Belonging at PayPal: Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please Join our Talent Community. We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply. REQ ID R0125910 Show more Show less

Job Summary: We are looking for a skilled and innovative Machine Learning Engineer to develop, implement, and optimize intelligent systems that leverage data to drive business decisions and enhance product functionality. The ideal candidate will have strong programming skills, a solid understanding of machine learning algorithms, and experience in deploying models into production environments. Key Responsibilities: Design and develop scalable ML models and algorithms to solve real-world problems Analyze large and complex datasets to extract actionable insights Train, test, and validate models to ensure performance and accuracy Work closely with data engineers, product teams, and stakeholders to integrate ML models into applications Research and stay updated on state-of-the-art techniques in machine learning and AI Optimize models for speed, scalability, and interpretability Document processes, experiments, and results clearly Deploy models into production using MLOps tools and practices Required Skills & Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, or related field Strong proficiency in Python and ML libraries like scikit-learn, TensorFlow, PyTorch, Keras Solid understanding of statistical modeling, classification, regression, clustering, and deep learning Experience with data handling tools (e.g., Pandas , NumPy ) and data visualization (e.g., Matplotlib , Seaborn ) Proficiency with SQL and working knowledge of big data technologies (e.g., Spark, Hadoop) Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps tools (e.g., MLflow, SageMaker) Preferred Qualifications: Experience with NLP, computer vision, or recommendation systems Knowledge of Docker, Kubernetes, and CI/CD for model deployment Published research or contributions to open-source ML projects Exposure to agile environments and collaborative workflows Show more Show less

Description Description Position Summary: Managers combine best-in-class analytic skills with strong problem-solving and communication abilities to help clients solve strategic and tactical business problems. Managers are skilled at all aspects of project execution with the ability to prepare client-ready materials with limited oversight / guidance from project managers. They are expected to independently manage specific tasks / workstreams within projects and mentor junior team members. Managers may work on multiple projects simultaneously and lead a small team in each one of them. Position Responsibilities: Ensures development of a successful project / workstream plan after high level direction from the senior project lead with a clear understanding of project objectives Takes ownership of methodology instrument design for market research projects to address key objectives based on high level guidance provided by senior project team member Translates understanding of brand strategy and client needs & beliefs into likely hypotheses, and ensures analytical approach is effective in testing hypotheses to find most relevant insights Anticipates potential challenges in analysis and proactively works with team to figure out a mitigation strategy Demonstrates creative flexibility and innovation to modify design approach as necessary with more abstract client feedback or changing business project objectives Is able to use the prior experience to apply advanced statistical knowledge (CHAID, Choice modeling, Clustering, kNN, Regression etc.) to solve a business problem Ensures that team members are able to execute the analysis with right analytical approach and proper quality check guidelines Proactively creates good processes and automation set ups to increase the efficiency and quality of the deliverables Responsible for quality of entire team and all materials; double-checks all project materials and analysis provided from other team members Maintains focus on strategic implications of analytical insights, and effectively guides junior team member(s) to achieve necessary depth and breadth of insights Ensure client needs and preferences are incorporated into slide development; customizes report to audience and format of presentation when developing deliverables Guides development of new slide frameworks and visual templates that can present key data / insights powerfully Sends timely and thoughtful responses to client/leadership requests, questions, and needs Presents project findings & recommendations to clients in a compelling and engaging way (when appropriate based on client presentation preferences) Responsible for professional development, engagement and coaching of junior team members Teaches best practices to junior team members for structured written and verbal communication Demonstrates a desire and willingness to learn, and learns for all interactions and team members on a project/team Adapts working style as needed, developing strong collaboration and trust across team members Demonstrates good judgement across all interactions, and a respect for all team members internally and externally Qualifications Education: A bachelor or master’s degree in a quantitative, analytical discipline, such as Operations Research, Applied Mathematics, Economics, Management Science, Data Science, Statistics, or Engineering will be preferred Manager - Minimum 5 years of experience in Market Research and marketing consulting work. Knowledge of US healthcare market will be a plus Experience in execution of advanced analytical methods – CHAID, Hypothesis Testing, A/B testing, CART, Regression, Clustering, Factor Analysis, MNL, Choice Modeling, kNN, K-means, Predictive analysis, Generalized Linear Models etc. Knowledge of tools/programming platforms – Sawtooth, R, SAS, SPSS, Advanced Excel, Advanced Powerpoint Experience in writing surveys and discussion guides with knowledge of biases and ways to make instruments easier for respondents Evidence of leading and managing teams/projects Evidence of strong oral and written communication Evidence of working in a fast-paced versatile environment Comfort and flexibility with ambiguity Strong attention to detail with a quality focused mindset Evidence for high motivation and good professional attitude/work ethics Show more Show less

At PwC, our people in infrastructure focus on designing and implementing robust, secure IT systems that support business operations. They enable the smooth functioning of networks, servers, and data centres to optimise performance and minimise downtime. Those in cloud operations at PwC will focus on managing and optimising cloud infrastructure and services to enable seamless operations and high availability for clients. You will be responsible for monitoring, troubleshooting, and implementing industry leading practices for cloud-based systems. Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm, you build a brand for yourself, opening doors to more opportunities. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Apply a learning mindset and take ownership for your own development. Appreciate diverse perspectives, needs, and feelings of others. Adopt habits to sustain high performance and develop your potential. Actively listen, ask questions to check understanding, and clearly express ideas. Seek, reflect, act on, and give feedback. Gather information from a range of sources to analyse facts and discern patterns. Commit to understanding how the business works and building commercial awareness. Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements. Windows and AWS Administrator Server Admin will coordinate the day-to-day activities of the operational systems, processes, and infrastructure required for all service offerings being developed that assist clients on their Managed Service Delivery. This individual will work with one or multiple clients to gather requirements and the corresponding work needed based on the client’s Delivery roadmap. They will manage the day-to-day business of operations including various stakeholders and internal and external delivery partners. Responsibilities Role supports our services that focus on Operating System - Windows. Extensive experience with Installation, Configuration, Patching, Backup-Recovery on Windows & VMware infrastructure. Experience in maintaining upgrading & Migrating VMware vCenter ESXi HA, DRS, vDS, vROps and VIO. Experience working in AWS cloud Experience in building and configuring the Windows Clustering services and good troubleshooting skills. Experience in involving discussion with clients for Operating System requirements, performance, and integration issues and providing better solutions or approaches along with capacity planning. Responsible for identifying and resolving performance bottlenecks in relation to CPU, I/O, Memory. Responsible for migration i.e., on-prem to on-prem or to cloud Day-to-Day Production support and maintenance of different versions of server infrastructure Design and build function-centric solutions in the context of transition from traditional, legacy platforms to microservices architectures Identifies trends and assess opportunities to improve processes and execution. Raises and tracks issues and conflicts, removes barriers, resolves issues of medium complexity involving partners and calls out to appropriate levels when required. Solicits and responds to feedback while gaining dedication and support. Stays up to date on industry regulations, trends, and technology. Coordinates with management to ensure all operational, administrative, and compliance functions within the team are being carried out in accordance with regulatory standard methodologies. Qualifications Bachelor’s degree in Computer Science or related technology field preferred Minimum of 3 years of hands-on experience on Windows operating systems & VMware. Strong working knowledge of ITIL principles and ITSM Current understanding of industry trends and methodologies Outstanding verbal and written communication skills Excellent attention to detail Strong interpersonal skills and leadership qualities Show more Show less

Background Praan (Praan, Inc.) is an impact focused deep-tech startup democratizing clean air using breakthrough filterless technology. The company is backed by top tier VCs and CXOs globally and currently operates between the United States and India. Our team puts extreme attention to detail and loves building technology that's aspirational. Praan's team and culture is positioned to empower people to solve large global problems at an accelerated pace. Why Everyone worries about the dooms-day in climate change which is expected to occur in the 2050s. However, there's one doom's day which is the reality for millions of people around the world today. Air pollution takes more than 7 Million lives globally every single year. Over 5% of premature children death occur due to air pollution in developing countries. Everyone has relied on governments or experts to solve the problem, but most solutions up until today have either been too expensive or too ineffective. Praan is an attempt at making the future cleaner, healthier, and safer for the generations to come. Job Description Implement advanced 3D reconstruction pipelines for point clouds, following the latest research, using Python and C++ Develop and deploy deep learning models, including transformer-based models, to enhance the functionality and performance of our products Optimize algorithms for low-latency and high-efficiency performance on embedded platforms and edge devices Design, develop, and train machine learning models for automatic clean-up and transformation of 3D point clouds into CAD files Write and maintain custom bash scripts to support automation and workflow optimization Work closely with mechanical design, manufacturing, embedded system and CFD teams to create integrated physical systems Work with deployment teams to field-test computer vision systems in diverse factory environments, refining performance and reliability Create custom tools and algorithms for seamless conversion of point cloud data into CAD formats with enhanced usability for design and manufacturing teams Implement real-time processing pipelines for point cloud and vision data to enable immediate insights and decision-making Prepare high quality documents, manuals, and test reports for project scaling Conduct rigorous integration testing to ensure seamless compatibility between hardware, software, and firmware components Skill Requirements BS/MS in Computer Science, Electrical Engineering, or a related engineering field Past experience in Computer Vision, Perception, and Mapping in indoor environments Strong proficiency in Python, with hands-on experience in training object detection and segmentation models using TensorFlow or PyTorch Experience with transformer architectures for tasks such as audio classification and video context extraction Past Experience in working with LiDARs, 3D point clouds, segmentation and clustering Experience in 3D reconstruction, Pointclouds/Image data to CAD Hands-on experience on embedded devices like Nvidia Jetson, Raspberry Pi, etc In-depth knowledge and hands-on experience with Linux environments Praan is an equal opportunity employer and does not discriminate based on race, religion, caste, gender, disability or any other criteria. We just care about working with great human beings! Show more Show less

About Us We are a global climate technologies company engineered for sustainability. We create sustainable and efficient residential, commercial and industrial spaces through HVACR technologies. We protect temperature-sensitive goods throughout the cold chain. And we bring comfort to people globally. Best-in-class engineering, design and manufacturing combined with category-leading brands in compression, controls, software and monitoring solutions result in next-generation climate technology that is built for the needs of the world ahead. Whether you are a professional looking for a career change, an undergraduate student exploring your first opportunity, or recent graduate with an advanced degree, we have opportunities that will allow you to innovate, be challenged and make an impact. Join our team and start your journey today! Responsibilities 5+ years of Experience in MS SQL Server Administration experience required in SQL Server 2016, 2019 and 2021. Experience with Windows 2012 R2 Server, Windows 2016 server and 2019. Experience with Performance Tuning and Optimization (PTO), using native monitoring and troubleshooting tools. Experience with backups, restores and recovery models. Knowledge of Clustering, Always On, High Availability (HA) and Disaster Recovery (DR) options for SQL Server. Provide 24x7 support for critical production systems. Experience with SSIS/SSRS would be a advantage. Experience implementing and managing encryption lifecycle. Installing, Configuring and Upgrading SQL Server/Applying Service Packs. Server and Database Security Administration Share domain and technical expertise, providing technical mentorship and cross-training to other peers and team members. Manage SQL Server databases through multiple product lifecycle environments from development to mission-critical production systems. Configure SQL Server monitoring utilities to minimize false alarms. When performance issues arise, determine the most effective way to increase performance including hardware purchases. Capacity planning, Client handling for new and upcoming migrations. Experience in tools such as Service Now, Redgate, Splunk, Commvault backup Tool. Ability to document solutions and train operational teams. Experience with Azure is a plus. Experience with automation, PowerShell is a plus. Desirable Skills Excellent written and verbal communication. Flexible, team player, get-it-done personality. Ability to organize and plan work independently. Ability to work in a rapidly changing environment. Ability to multi-task and context-switch effectively between different activities and teams. Experience 5+ years SQL Server Experience Willingness to work in the 24*7 shifts. Our Commitment to Our People Across the globe, we are united by a singular Purpose: Sustainability is no small ambition. That’s why everything we do is geared toward a sustainable future—for our generation and all those to come. Through groundbreaking innovations, HVACR technology and cold chain solutions, we are reducing carbon emissions and improving energy efficiency in spaces of all sizes, from residential to commercial to industrial. Our employees are our greatest strength. We believe that our culture of passion, openness, and collaboration empowers us to work toward the same goal - to make the world a better place. We invest in the end-to-end development of our people, beginning at onboarding and through senior leadership, so they can thrive personally and professionally. Flexible and competitive benefits plans offer the right options to meet your individual/family needs. We provide employees with flexible time off plans, including paid parental leave (maternal and paternal), vacation and holiday leave. Together, we have the opportunity – and the power – to continue to revolutionize the technology behind air conditioning, heating and refrigeration, and cultivate a better future. Learn more about us and how you can join our team! Our Commitment to Inclusion & Belonging At Copeland, we cultivate a strong sense of inclusion and belonging where individuals of all backgrounds, and with diverse perspectives, are embraced and treated fairly to enable a stronger workforce. Our employee resource groups play an important role in culture and community building at Copeland. Equal Opportunity Employer Copeland is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, age, marital status, political affiliation, sexual orientation, gender identity, genetic information, disability or protected veteran status. We are committed to providing a workplace free of any discrimination or harassment. Show more Show less

We are seeking a highly analytical and detail-oriented Senior Data Analyst to join our growing team. In this role, you will work closely with cross-functional teams to uncover insights, optimize business performance, and contribute to strategic decision-making through data-driven approaches. Responsibilities Perform deep-dive analysis using statistical methods to extract meaningful insights and guide business decisions. Design and build dashboards, reports, and visualizations using tools like Tableau, Power BI, or similar platforms to communicate insights clearly to stakeholders. Develop robust data models to support forecasting, trend analysis, and predictive analytics. Maintain high data integrity by conducting regular data quality checks and resolving anomalies or inconsistencies. Collaborate with teams such as Marketing, Finance, and Product to understand data requirements and provide analytical solutions that support their objectives. Identify and implement automation solutions for recurring reports and processes to improve efficiency and scalability. Qualifications Bachelor's or Master's degree in Statistics or Applied Mathematics or equivalent experience Minimum of 3 years in a data analysis role, with demonstrated success in solving business problems through data. Solid knowledge of statistical techniques such as regression, clustering, and hypothesis testing. Visualization Tools: Proficiency in tools like Tableau, Power BI, or equivalent. Advanced skills in SQL, with hands-on experience in Python or R for data wrangling and analysis. Proven experience in managing and improving data quality, including cleansing and validation. Capable of managing multiple priorities and projects efficiently. Show more Show less

About the Role Mergen Partners is seeking a Data Scientist to join a cutting-edge AI and Data Science team. In this role, you’ll design predictive models and data-driven solutions that directly influence critical business areas such as pricing strategy, customer behavior analysis, and resource optimization. If you thrive on solving complex problems with AI and want to see your work drive tangible outcomes, this is your opportunity to make an impact. What You’ll Do Lead Analytical Strategy: Drive innovation by proposing new statistical frameworks, testing methodologies, and infrastructure enhancements to unlock business value. Collaborate Cross-Functionally: Partner with stakeholders to define challenges, develop hypotheses, and transform raw data (including conversational data) into actionable insights and scalable models. Own End-to-End Analytics: Conduct descriptive/prescriptive analyses, design experiments (A/B, multi-armed bandit), and track business metrics to inform decision-making. Build ML Solutions: Develop models to optimize customer segmentation, retention, conversation quality, and revenue growth. Mentor & Guide: Serve as the team’s AI/ML authority, overseeing advanced statistical work and model development. Ensure Model Excellence: Validate, test, and refine models for performance, scalability, and real-world applicability. What We’re Looking For Education: Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field. Experience: 2-5 years in data science, machine learning, or product analytics with hands-on model development. Technical Expertise: Proficiency in Python and SQL (BigQuery preferred). Mastery of machine learning techniques: regression, classification, clustering, time series analysis. Hands-on experience with frameworks like XGBoost, Naive Bayes, K-means, Neural Networks. Familiarity with ML libraries (TensorFlow, PyTorch, Keras). Strong grasp of statistical analysis (descriptive and inferential). Bonus Skills: Exposure to NLP, computer vision, or reinforcement learning. Experience in e-commerce, retail analytics, or product analytics. Knowledge of CI/CD pipelines for ML deployment. Familiarity with large language models (LLMs) and prompt engineering. Why Apply? Solve High-Impact Problems: Your work will shape strategies that directly affect business growth and customer experiences. Innovate with AI: Work at the forefront of AI/ML applications in a dynamic, collaborative environment. Ownership & Growth: Lead projects from ideation to deployment while mentoring peers and refining best practices. Note: Mergen Partners values diversity and is proud to support our client in building an inclusive team. All qualified applicants will receive consideration. Show more Show less

SUMMARY Open Position: FARMAR Responsibilities: Providing animals with food and water Ensuring the well-being of animals Engaging in agricultural activities and tending to palm trees Skills and Qualifications: Skilled in agricultural tasks Requirements Requirements: Capability to work on a farm At least 1 year of farming experience Benefits Specified Salary: 110 Accommodation and Meals: Accommodation is provided; meals are the worker’s responsibility. Working Hours: 10 hours per day Weekly Day Off: One day per week Required Languages: English Muslim or Christian.

Req ID: 327201 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Lead Engineer to join our team in Noida, Uttar Pradesh (IN-UP), India (IN). Grade 8 - SQL Job Description At NTT DATA, we know that with the right people on board, anything is possible. The quality, integrity, and commitment of our employees are key factors in our company’s growth, market presence and our ability to help our clients stay a step ahead of the competition. By hiring, the best people and helping them grow both professionally and personally, we ensure a bright future for NTT DATA and for the people who work here. Preferred Experience " Ideal candidate has been supporting traditional server based relational databases (SQL Server) for over 7+ years out of which last 3+ years in public cloud environments (GCP and Azure) 5+ years of database experience in SQL Server 2008/2012/above versions 2+ years of database experience in Oracle11g /12c/above versions as secondary skill Knowledge of MySQL, PostgreSQL, Azure SQL,MI instances , GCP instances is a plus Strong planning, deployment, maintenance and troubleshooting experience in high-availability database environments (Always-On, Clustering, Mirroring, etc.). Expert in setting up health-checks and troubleshooting of SQL backups, restores and recovery models Able to work on On-Call rotations and provide 24*7 shift hours support at L2/L3 level Able to work independently in a project scenario and do POCs Experience in updating KB articles, Problem Management articles, and SOPs/runbooks Experience in google instances (SQL, Mysql,Postgresql) Experience incapacity planning, DR setup, project work (New environment setup) (SQL, Mysql,Postgresql) Passion for delivering timely and outstanding customer service Ability to work independently, with little or no direct supervision. Great written and oral communication skills with internal and external customers Strong ITIL foundation, Continual Service Improvement and Total Quality Management experiences Report weekly to management about abnormalities and critical issues; provide root cause analysis and recommendations; work with infrastructure team, application team and/or other teams for problem resolutions, following the escalation path if needed." Basic Qualifications " 7+ years of overall operational experience 3+ years of Azure/GCP experience as a cloud DBA (SQL) 3+ years of experience working in diverse cloud support database environments in a 24*7 production support model Experience with SSIS, SSRS, T-SQL Experience with python / powershell scripting - preferred Secondary skill in Oracle/MySQL/PostgreSQL - preferred Ability to work independently, with little or no direct supervision. Ability to work in a rapidly changing environment Ability to multi-task and context-switch effectively between different activities and teams " Preferred Certifications Azure fundamentals certification (AZ-900) - REQUIRED Azure Database Certification (DP-300) - preferred AWS Certified Database Specialty - preferred MCTS, MCITP, OCP certifications a plus Google Cloud Engineer - REQUIRED About NTT DATA NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us . This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here . If you'd like more information on your EEO rights under the law, please click here . For Pay Transparency information, please click here . Show more Show less

About VOIS _VOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value and enhancing quality and efficiency across 28 countries, and operating from 7 locations: Albania, Egypt, Hungary, India, Romania, Spain and the UK. Over 29,000 highly skilled individuals are dedicated to being Vodafone Group’s partner of choice for talent, technology, and transformation. We deliver the best services across IT, Business Intelligence Services, Customer Operations, Business Operations, HR, Finance, Supply Chain, HR Operations, and many more. Established in 2006, _VOIS has evolved into a global, multi-functional organisation, a Centre of Excellence for Intelligent Solutions focused on adding value and delivering business outcomes for Vodafone. VOIS India In 2009, _VOIS started operating in India and now has established global delivery centres in Pune, Bangalore and Ahmedabad. With more than 14,500 employees, _VOIS India supports global markets and group functions of Vodafone and delivers best-in-class customer experience through multi-functional services in the areas of Information Technology, Networks, Business Intelligence and Analytics, Digital Business Solutions (Robotics & AI), Commercial Operations (Consumer & Business), Intelligent Operations, Finance Operations, Supply Chain Operations and HR Operations and more. Role Purpose The primary purpose of this role is to deliver analytical / decision services to Vodafone’s businesses across the globe. The role works with OpCo and is a part of the VOIS (Vodafone Shared Services) organisation in India. The incumbent works on the assigned projects & it's stakeholder to understand the business challenges faced by them. Using expertise in analytics, the incumbent provide structured and data-backed analytics solutions to create bottom-line impact for the business. The role leverages / re-engineers existing solutions to delivery efficiently. The role also demands an innovation-led approach to delivery by using evolving analytical techniques / technologies. The candidate works with the assigned business stakeholder(s) to agree scope, deliverables, process and expected outcomes from the products and services developed. Key Accountabilities And Decision Ownership Support build & deployment of analytical solutions (models, hypothesis, analyses & scenarios) across the spectrum of analytical maturity - descriptive, inferential, predictive & prescriptive Leverage previously created data models, insights and analyses from across the Vodafone business to drive positive business outcomes Drive efficiencies in how analytical services are delivered, through automation and standardisation of analytical delivery Provide a delightful and “easy to work” experience to the business stakeholders while setting clear expectations Present analysis & model results to business along with assessment of model impact on business Key performance indicators [max 3]: Analytics solutions models (Proof of concepts, Proofs of value, Automated models) Creation of reusable, defined analytical products (including documentation and, where appropriate, training) Visualisation of results / Presentation of output Core Competencies, Knowledge And Experience Core competencies, knowledge and experience : Minimum experience of 12+ years in data science and from a top B-school or T-School of India Excellent communication & presentation skills with track record of engaging with business project leads Flexibility and problem solving Previous experience in Telecom would be a distinct advantage Graduate from tier-1 or tier-2 college preferred with good academic record Must Have Technical / Professional Qualifications Hands on experience in Analytical tools like Python with through knowledge of various machine learning, analytical & statistical techniques Expert in Python, PySpark (at least 2-3 years in real time projects) Good to have 2-3 years of Cloud – GCP/AWS or Big Data technologies (e.g. Hadoop, Hive, Pig, etc.) Need to be worked on modelling projects till now in different areas: Predictive Modelling Mandatory kin actual business projects with monetary impact classification, segmentation etc Exceptional data manipulation and analysis techniques; comfortable using very large (>10’s millions rows) datasets, containing both structured and unstructured data Machine Learning, Deep Learning, Clustering & Segmentation, Binary & Multi-Class Classification, ML Forecasting & Regression Models Good stability in employments and from reputed tier-1 employers in past VOIS Equal Opportunity Employer Commitment India VOIS is proud to be an Equal Employment Opportunity Employer. We celebrate differences and we welcome and value diverse people and insights. We believe that being authentically human and inclusive powers our employees’ growth and enables them to create a positive impact on themselves and society. We do not discriminate based on age, colour, gender (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, national origin, race, religion, sexual orientation, status as an individual with a disability, or other applicable legally protected characteristics. As a result of living and breathing our commitment, our employees have helped us get certified as a Great Place to Work in India for four years running. We have been also highlighted among the Top 5 Best Workplaces for Diversity, Equity, and Inclusion, Top 10 Best Workplaces for Women, Top 25 Best Workplaces in IT & IT-BPM and 14th Overall Best Workplaces in India by the Great Place to Work Institute in 2023. These achievements position us among a select group of trustworthy and high-performing companies which put their employees at the heart of everything they do. By joining us, you are part of our commitment. We look forward to welcoming you into our family which represents a variety of cultures, backgrounds, perspectives, and skills! Apply now, and we’ll be in touch! Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY- Assurance – Senior - Digital Position Details As part of EY GDS Assurance Digital, you will be responsible for implementing innovative ideas through AI research to develop high growth & impactful products. You will be helping EY’s sector and service line professionals by developing analytics enabled solutions, integrating data science activities with business relevant aspects to gain insight from data. You will work with multi-disciplinary teams across the entire region to support global clients. This is a core full-time AI developer role, responsible for creating innovative solutions by applying AI based techniques for business problems. As our in-house senior AI engineer, your expertise and skills will be vital in our ability to steer one of our Innovation agenda. Responsibilities Requirements (including experience, skills, and additional qualifications) Convert business problem into analytical problem and devise a solution approach. Clean, aggregate, analyze and interpret the data to derive business insights from it. Own the AI/ML implementation process: Model Design, Feature Planning, Testing, Production Setup, Monitoring, and release management. Work closely with the Solution Architects in deployment of the AI POC’s and scaling up to production level applications. Should have solid background in Python and has deployed on open-source models- Work on data extraction techniques from complex PDF/Word Doc/Forms- entities extraction, table extraction, information comparison. Key Requirements/Skills & Qualification: Excellent academic background, including at a minimum a bachelor or a master’s degree in data science, Business Analytics, Statistics, Engineering, Operational Research, or other related field with strong focus on modern data architectures, processes, and environments. Solid background in Python with excellent coding skills. 4+ years of core data science experience in one or more below areas: Machine Learning (Regression, Classification, Decision Trees, Random Forests, Timeseries Forecasting and Clustering) Understanding and usage of Large Language Models like Open AI models like ChatGPT, GPT4, frameworks like LangChain and Llama Index. Good understanding of open source LLM framework like Mistral, Llama, etc and fine tuning on custom datasets. Deep Learning (DNN, RNN, LSTM, Encoder-Decoder Models) Natural Language Processing- Text Summarization, Aspect Mining, Question Answering, Text Classification, NER, Language Translation, NLG, Sentiment Analysis, Sentence Computer Vision- Image Classification, Object Detection, Tracking etc SQL/NoSQL Databases and its manipulation components Working knowledge of API Deployment (Flask/FastAPI/Azure Function Apps) and webapps creation, Docker, Kubernetes. Additional skills requirements: Excellent written, oral, presentation and facilitation skills Ability to coordinate multiple projects and initiatives simultaneously through effective prioritization, organization, flexibility, and self-discipline. Must have demonstrated project management experience. Knowledge of firm’s reporting tools and processes. Proactive, organized, and self-sufficient with ability to priorities and multitask. Analyses complex or unusual problems and can deliver insightful and pragmatic solutions. Ability to quickly and easily create/ gather/ analyze data from a variety of sources. A robust and resilient disposition able to encourage discipline in team behaviors What We Look For A Team of people with commercial acumen, technical experience, and enthusiasm to learn new things in this fast-moving environment An opportunity to be a part of market-leading, multi-disciplinary team of 7200 + professionals, in the only integrated global assurance business worldwide. Opportunities to work with EY GDS Assurance practices globally with leading businesses across a range of industries What Working At EY Offers At EY, we’re dedicated to helping our clients, from startups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Position Name EY- Assurance – Senior - Position Details As part of EY GDS Assurance Digital, you will be responsible for implementing innovative ideas through AI research to develop high growth & impactful products. You will be helping EY’s sector and service line professionals by developing analytics enabled solutions, integrating data science activities with business relevant aspects to gain insight from data. You will work with multi-disciplinary teams across the entire region to support global clients. This is a core full-time AI developer role, responsible for creating innovative solutions by applying AI based techniques for business problems. As our in-house senior AI engineer, your expertise and skills will be vital in our ability to steer one of our Innovation agenda. Responsibilities Requirements (including experience, skills, and additional qualifications) Convert business problem into analytical problem and devise a solution approach. Clean, aggregate, analyze and interpret the data to derive business insights from it. Own the AI/ML implementation process: Model Design, Feature Planning, Testing, Production Setup, Monitoring, and release management. Work closely with the Solution Architects in deployment of the AI POC’s and scaling up to production level applications. Should have solid background in Python and has deployed on open-source models- Work on data extraction techniques from complex PDF/Word Doc/Forms- entities extraction, table extraction, information comparison. Key Requirements/Skills & Qualification: Excellent academic background, including at a minimum a bachelor or a master’s degree in data science, Business Analytics, Statistics, Engineering, Operational Research, or other related field with strong focus on modern data architectures, processes, and environments. Solid background in Python with excellent coding skills. 4+ years of core data science experience in one or more below areas: Machine Learning (Regression, Classification, Decision Trees, Random Forests, Timeseries Forecasting and Clustering) Understanding and usage of Large Language Models like Open AI models like ChatGPT, GPT4, frameworks like LangChain and Llama Index. Good understanding of open source LLM framework like Mistral, Llama, etc and fine tuning on custom datasets. Deep Learning (DNN, RNN, LSTM, Encoder-Decoder Models) Natural Language Processing- Text Summarization, Aspect Mining, Question Answering, Text Classification, NER, Language Translation, NLG, Sentiment Analysis, Sentence Computer Vision- Image Classification, Object Detection, Tracking etc SQL/NoSQL Databases and its manipulation components Working knowledge of API Deployment (Flask/FastAPI/Azure Function Apps) and webapps creation, Docker, Kubernetes. Additional skills requirements: Excellent written, oral, presentation and facilitation skills Ability to coordinate multiple projects and initiatives simultaneously through effective prioritization, organization, flexibility, and self-discipline. Must have demonstrated project management experience. Knowledge of firm’s reporting tools and processes. Proactive, organized, and self-sufficient with ability to priorities and multitask. Analyses complex or unusual problems and can deliver insightful and pragmatic solutions. Ability to quickly and easily create/ gather/ analyze data from a variety of sources. A robust and resilient disposition able to encourage discipline in team behaviors What We Look For A Team of people with commercial acumen, technical experience, and enthusiasm to learn new things in this fast-moving environment An opportunity to be a part of market-leading, multi-disciplinary team of 7200 + professionals, in the only integrated global assurance business worldwide. Opportunities to work with EY GDS Assurance practices globally with leading businesses across a range of industries What Working At EY Offers At EY, we’re dedicated to helping our clients, from startups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

Job Description Preferred Technical and Professional Expertise: Working knowledge of OS clustering, partitioning, virtualization and storage administration, integration with operating systems Demonstrated expertise in UNIX - Linux. Working experience in OVM Migration projects Working knowledge on Engineered system like Exadata, , PCA etc Working patching experience on Exadata, , PCA etc Individual contributor role able to manage his work independently. Ambitious individual who can work under their own direction towards agreed targets/goals and with creative approach to work Proven interpersonal skills while contributing to team effort by accomplishing related results as needed Up-to-date technical knowledge by attending educational workshops, reviewing publications. Working knowledge on Kubernetes or Containerization setup. Career Level - IC2 Responsibilities As a Systems Engineer, you will interface with the customer's IT staff on a regular basis. Either at the client's site or from a remote location, you will be responsible for resolution of moderately complex technical problems related to the installation, recommended maintenance and use and repair/workarounds for Oracle products. You should have knowledge of some Oracle products and one platform that is being supported. You will be expected to work with only general guidance from senior engineers and management and, in some areas may work independently.Technical working knowledge on Kubernetes or Containerization environment. About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. Show more Show less

Job Description Preferred Technical and Professional Expertise: Working knowledge of OS clustering, partitioning, virtualization and storage administration, integration with operating systems Demonstrated expertise in UNIX - Linux. Working experience in OVM Migration projects Working knowledge on Engineered system like Exadata, , PCA etc Working patching experience on Exadata, , PCA etc Individual contributor role able to manage his work independently. Ambitious individual who can work under their own direction towards agreed targets/goals and with creative approach to work Proven interpersonal skills while contributing to team effort by accomplishing related results as needed Up-to-date technical knowledge by attending educational workshops, reviewing publications. Working knowledge on Kubernetes or Containerization setup. Career Level - IC2 Responsibilities As a Systems Engineer, you will interface with the customer's IT staff on a regular basis. Either at the client's site or from a remote location, you will be responsible for resolution of moderately complex technical problems related to the installation, recommended maintenance and use and repair/workarounds for Oracle products. You should have knowledge of some Oracle products and one platform that is being supported. You will be expected to work with only general guidance from senior engineers and management and, in some areas may work independently.Technical working knowledge on Kubernetes or Containerization environment. About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. Show more Show less