2448 Clustering Jobs - Page 37

We Are Hiring SEO Executive Intern (With AI Skills) We are one of the best places to work. OptimumBrew Technology creates an atmosphere where you can grow your inner self, show your talents, get the best out of your own self. We believe in the invention of new processes that ease your work. The workplace at OptimumBrew Technology is very flexible. Best "SEO Executive Intern (With AI Skills)" Job in Surat Fresher Surat (GJ), India About Us Were a forward-thinking digital team using AI-driven workflows to scale content, design, and search performance. Our focus is on intent-based SEO, smart systems, and staying ahead of evolving algorithms. As an SEO Executive Intern, you will play a crucial role in driving organic traffic by executing SEO strategies, auditing content, and leveraging AI to enhance output and efficiency. Primary Objectives To support and execute data-driven SEO strategies that enhance organic visibility, leveraging AI tools and smart systems to optimize content, improve rankings, and drive measurable growth. Roles & Responsibilities Conduct keyword research, clustering, and mapping using tools like Ahrefs, SEMrush, or SurferSEO Optimize on-page SEO elements such as titles, meta tags, headers, and internal links Assist in generating AI-powered content briefs using tools like Frase, ChatGPT, or Jasper Use AI tools to create content drafts, meta descriptions, FAQs, and snippet targets Analyze SEO performance via Google Search Console and GA4; suggest improvements Research competitors and summarize strategies from SERPs Support outreach for link-building and maintain prospect lists Keep SEO documentation organized in Notion or Confluence Technical Skills You Should Have Foundational understanding of search engines, ranking factors, and SEO trends Hands-on experience (or coursework) with SEO tools like Ubersuggest, Moz, Screaming Frog, etc. Familiarity with AI platforms such as ChatGPT, Claude, Jasper, Frase, or SurferSEO Ability to conduct keyword research, clustering, and mapping using tools like Ahrefs, SEMrush, or SurferSEO Knowledge of on-page SEO elements: titles, headers, metadata, internal linking Skill in using Google Search Console and Google Analytics 4 (GA4) for performance analysis Competence in creating and refining AI-generated content (e.g., blog drafts, meta descriptions, FAQs) Experience or familiarity with SEO documentation tools like Notion or Confluence Key Expertise Keyword Research & Strategy: Skilled in identifying, clustering, and mapping keywords using tools like Ahrefs, SEMrush, or SurferSEO On-Page Optimization: Proficient in optimizing titles, headers, meta descriptions, and internal links AI-Enhanced Content Creation: Experienced in using AI tools (e.g., ChatGPT, Jasper, Frase) to generate content drafts, FAQs, and featured snippet targets Content Auditing & Topical Authority: Ability to create AI-generated content briefs and build topical clusters Performance Analysis: Competent in using Google Search Console and GA4 to monitor and analyze SEO performance Competitive Research: Capable of summarizing competitor strategies directly from SERPs SEO Documentation: Organized in maintaining SEO workflows and reports using Notion or Confluence Link Building Support: Assisting in outreach and prospecting for backlinks Qualification BBA or MBA in Digital Marketing or equivalent, Certificate in Digital Marketing Experience Practical exposure to SEO tools such as Ahrefs, SEMrush, Ubersuggest, Moz, or Screaming Frog Familiarity with Google Search Console and GA4 for performance tracking and analysis Hands-on use of AI content tools like ChatGPT, Jasper, Claude, Frase, or SurferSEO Experience in on-page optimization, keyword research, and content auditing Exposure to AI-driven content workflows, including generating briefs, FAQs, and snippet strategies Organized and consistent in documenting SEO activities using Notion or Confluence (Bonus) Experience with schema markup, topical mapping, or SEO automation Benefits 22 Paid Leaves 5 Days Working Good Company Culture Health Insurance Life Insurance Pension Scheme Statutory Benefits (PF & ESIC) Salary on time Yearly Picnic Annual Sports Day Monthly Events Festival Celebrations Call to Recruiter: 91 7984453687 Apply for "SEO Executive Intern" Job

A Software MNC is hiring AI Architect who is experienced in Data Science(AI/ML), python and SQL. Total Years of experience : 9+Years Relevant 8-10 years is a must Location- TVM / Kochi – Hybrid weekly 3 days (Chennai and Bangalore candidates must work from office during the Initial months ) NP- Immediate TO 30 Days Job Purpose Responsible for consulting for the client to understand their AI/ML, analytics needs & delivering AI/ML applications to the client. Job Description / Duties & Responsibilities ▪ Work closely with internal BU’s and business partners (clients) to understand their business problems and translate them into data science problems ▪ Design intelligent data science solutions that delivers incremental value the end stakeholders ▪ Work closely with data engineering team in identifying relevant data and pre-processing the data to suitable models ▪ Develop the designed solutions into statistical machine learning models, AI models using suitable tools and frameworks ▪ Work closely with the business intelligence team to build BI system and visualizations that delivers the insights of the underlying data science model in most intuitive ways possible. ▪ Work closely with application team to deliver AI/ML solutions as microservices Job Specification / Skills and Competencies ▪ Masters/Bachelor’s in Computer Science or Statistics or Economics ▪ At least 4 years of experience working in Data Science field and is passionate about numbers, quantitative problems ▪ Deep understanding of Machine Learning models and algorithms ▪ Experience in analysing complex business problems, translating it into data science problems and modelling data science solutions for the same ▪ Understanding of and experience in one or more of the following Machine Learning algorithms:-Regression , Time Series ▪ Logistic Regression, Naive Bayes, kNN, SVM, Decision Trees, Random Forest, k-Means Clustering etc. ▪ NLP, Text Mining, LLM (GPTs) ▪ Deep Learning, Reinforcement learning algorithm ▪ Understanding of and experience in one or more of the machine learning frameworks -TensorFlow, Caffe, Torch etc. ▪ Understanding of and experience of building machine learning models using various packages in one or more of the programming languages– Python / R ▪ Knowledge & Experience on SQL, Relational Databases, No SQL Databases and Datawarehouse concepts ▪ Understanding of AWS/Azure Cloud architecture ▪ Understanding on the deployment architectures of AI/ML models (Flask, Azure function, AWS lambda) ▪ Knowledge on any BI and visualization tools is add-on (Tableau/PowerBI/Qlik/Plotly etc). ▪To adhere to the Information Security Management policies and procedures. Soft Skills Required ▪ Must be a good team player with good communication skills ▪ Must have good presentation skills ▪ Must be a pro-active problem solver and a leader by self ▪ Manage & nurture a team of data scientists ▪ Desire for numbers and patterns

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. About the role: We are seeking skilled, proactive and motivational Mid Data Scientist who have good hands-on experience in data wrangling, transformations, building data-driven insights and statistical models. As part of the PDT DD&T (Data, Digital & Transformation) team, you will leverage advanced analytics to deliver data-driven solutions and strategic insights that drive impactful business outcomes. Collaborating with cross-functional teams—including Pricing, Marketing, and Forecasting—you will analyze datasets, build predictive models, and help shape data strategies to enhance organizational performance. Working closely with the Data Science Senior and fellow data scientists, you will contribute to the broader Data and Analytics chapter of the ICC by providing data-backed recommendations that support key strategic initiatives. How you will contribute: Support the Senior Data Scientist and team members in solving problems, analyzing data and finding solutions. Support in design, development, and deployment of advanced statistics, data science and Artificial Intelligence (AI/ML) solutions to solves complex business problems Collaborate with cross-functional teams to integrate data-driven insights into business strategies and operations Ensure smooth, successful and timely delivery of statistical/data science solutions, decision support solutions and AI/ML products. Preferred requirements: Bachelor’s degree from an accredited institution in Statistics, Applied Mathematics, Statistics, Data Science, Physics, Computer Science, Economics or related quantitative fields (Master’s degree preferred) For a Master's or a PhD, it is expected to have a minimum of 1 years of AI/Machine Learning/ Advanced Statistics/Data Science experience in technology companies, Life Sciences, Pharma, Biotech, or relevant regulated industries (banking, insurance etc.). Minimum 3 years of production level experience after bachelor's degree. Understanding of applied statistical modelling, math modeling, and ML techniques (e.g. Clustering, Classification, Regression, Dimensionality Reduction, Ensemble Methods, Natural Language Processing) Programming & Data Engineering: Experience in Python, PySpark, or R for data curation, transformation, analysis, modeling, and visualization tasks. Analytical Problem-Solving: Strong analytical and problem-solving abilities, focused on delivering actionable business solutions. Strong presentation and communication skills, client service and technical writing skills for both technical and business audiences. 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.

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. About the role: We are seeking skilled, proactive and motivational Mid Data Scientist who have good hands-on experience in data wrangling, transformations, building data-driven insights and statistical models. As part of the PDT DD&T (Data, Digital & Transformation) team, you will leverage advanced analytics to deliver data-driven solutions and strategic insights that drive impactful business outcomes. Collaborating with cross-functional teams—including Pricing, Marketing, and Forecasting—you will analyze datasets, build predictive models, and help shape data strategies to enhance organizational performance. Working closely with the Data Science Senior and fellow data scientists, you will contribute to the broader Data and Analytics chapter of the ICC by providing data-backed recommendations that support key strategic initiatives. How you will contribute: Support the Senior Data Scientist and team members in solving problems, analyzing data and finding solutions. Support in design, development, and deployment of advanced statistics, data science and Artificial Intelligence (AI/ML) solutions to solves complex business problems Collaborate with cross-functional teams to integrate data-driven insights into business strategies and operations Ensure smooth, successful and timely delivery of statistical/data science solutions, decision support solutions and AI/ML products. Preferred requirements: Bachelor’s degree from an accredited institution in Statistics, Applied Mathematics, Statistics, Data Science, Physics, Computer Science, Economics or related quantitative fields (Master’s degree preferred) For a Master's or a PhD, it is expected to have a minimum of 1 years of AI/Machine Learning/ Advanced Statistics/Data Science experience in technology companies, Life Sciences, Pharma, Biotech, or relevant regulated industries (banking, insurance etc.). Minimum 3 years of production level experience after bachelor's degree. Understanding of applied statistical modelling, math modeling, and ML techniques (e.g. Clustering, Classification, Regression, Dimensionality Reduction, Ensemble Methods, Natural Language Processing) Programming & Data Engineering: Experience in Python, PySpark, or R for data curation, transformation, analysis, modeling, and visualization tasks. Analytical Problem-Solving: Strong analytical and problem-solving abilities, focused on delivering actionable business solutions. Strong presentation and communication skills, client service and technical writing skills for both technical and business audiences. 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.

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. About the role: We are seeking skilled, proactive and motivational Mid Data Scientist who have good hands-on experience in data wrangling, transformations, building data-driven insights and statistical models. As part of the PDT DD&T (Data, Digital & Transformation) team, you will leverage advanced analytics to deliver data-driven solutions and strategic insights that drive impactful business outcomes. Collaborating with cross-functional teams—including Pricing, Marketing, and Forecasting—you will analyze datasets, build predictive models, and help shape data strategies to enhance organizational performance. Working closely with the Data Science Senior and fellow data scientists, you will contribute to the broader Data and Analytics chapter of the ICC by providing data-backed recommendations that support key strategic initiatives. How you will contribute: Support the Senior Data Scientist and team members in solving problems, analyzing data and finding solutions. Support in design, development, and deployment of advanced statistics, data science and Artificial Intelligence (AI/ML) solutions to solves complex business problems Collaborate with cross-functional teams to integrate data-driven insights into business strategies and operations Ensure smooth, successful and timely delivery of statistical/data science solutions, decision support solutions and AI/ML products. Preferred requirements: Bachelor’s degree from an accredited institution in Statistics, Applied Mathematics, Statistics, Data Science, Physics, Computer Science, Economics or related quantitative fields (Master’s degree preferred) For a Master's or a PhD, it is expected to have a minimum of 1 years of AI/Machine Learning/ Advanced Statistics/Data Science experience in technology companies, Life Sciences, Pharma, Biotech, or relevant regulated industries (banking, insurance etc.). Minimum 3 years of production level experience after bachelor's degree. Understanding of applied statistical modelling, math modeling, and ML techniques (e.g. Clustering, Classification, Regression, Dimensionality Reduction, Ensemble Methods, Natural Language Processing) Programming & Data Engineering: Experience in Python, PySpark, or R for data curation, transformation, analysis, modeling, and visualization tasks. Analytical Problem-Solving: Strong analytical and problem-solving abilities, focused on delivering actionable business solutions. Strong presentation and communication skills, client service and technical writing skills for both technical and business audiences. 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.

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. About the role: We are seeking skilled, proactive and motivational Mid Data Scientist who have good hands-on experience in data wrangling, transformations, building data-driven insights and statistical models. As part of the PDT DD&T (Data, Digital & Transformation) team, you will leverage advanced analytics to deliver data-driven solutions and strategic insights that drive impactful business outcomes. Collaborating with cross-functional teams—including Pricing, Marketing, and Forecasting—you will analyze datasets, build predictive models, and help shape data strategies to enhance organizational performance. Working closely with the Data Science Senior and fellow data scientists, you will contribute to the broader Data and Analytics chapter of the ICC by providing data-backed recommendations that support key strategic initiatives. How you will contribute: Support the Senior Data Scientist and team members in solving problems, analyzing data and finding solutions. Support in design, development, and deployment of advanced statistics, data science and Artificial Intelligence (AI/ML) solutions to solves complex business problems Collaborate with cross-functional teams to integrate data-driven insights into business strategies and operations Ensure smooth, successful and timely delivery of statistical/data science solutions, decision support solutions and AI/ML products. Preferred requirements: Bachelor’s degree from an accredited institution in Statistics, Applied Mathematics, Statistics, Data Science, Physics, Computer Science, Economics or related quantitative fields (Master’s degree preferred) For a Master's or a PhD, it is expected to have a minimum of 1 years of AI/Machine Learning/ Advanced Statistics/Data Science experience in technology companies, Life Sciences, Pharma, Biotech, or relevant regulated industries (banking, insurance etc.). Minimum 3 years of production level experience after bachelor's degree. Understanding of applied statistical modelling, math modeling, and ML techniques (e.g. Clustering, Classification, Regression, Dimensionality Reduction, Ensemble Methods, Natural Language Processing) Programming & Data Engineering: Experience in Python, PySpark, or R for data curation, transformation, analysis, modeling, and visualization tasks. Analytical Problem-Solving: Strong analytical and problem-solving abilities, focused on delivering actionable business solutions. Strong presentation and communication skills, client service and technical writing skills for both technical and business audiences. 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.

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. About the role: We are seeking skilled, proactive and motivational Mid Data Scientist who have good hands-on experience in data wrangling, transformations, building data-driven insights and statistical models. As part of the PDT DD&T (Data, Digital & Transformation) team, you will leverage advanced analytics to deliver data-driven solutions and strategic insights that drive impactful business outcomes. Collaborating with cross-functional teams—including Pricing, Marketing, and Forecasting—you will analyze datasets, build predictive models, and help shape data strategies to enhance organizational performance. Working closely with the Data Science Senior and fellow data scientists, you will contribute to the broader Data and Analytics chapter of the ICC by providing data-backed recommendations that support key strategic initiatives. How you will contribute: Support the Senior Data Scientist and team members in solving problems, analyzing data and finding solutions. Support in design, development, and deployment of advanced statistics, data science and Artificial Intelligence (AI/ML) solutions to solves complex business problems Collaborate with cross-functional teams to integrate data-driven insights into business strategies and operations Ensure smooth, successful and timely delivery of statistical/data science solutions, decision support solutions and AI/ML products. Preferred requirements: Bachelor’s degree from an accredited institution in Statistics, Applied Mathematics, Statistics, Data Science, Physics, Computer Science, Economics or related quantitative fields (Master’s degree preferred) For a Master's or a PhD, it is expected to have a minimum of 1 years of AI/Machine Learning/ Advanced Statistics/Data Science experience in technology companies, Life Sciences, Pharma, Biotech, or relevant regulated industries (banking, insurance etc.). Minimum 3 years of production level experience after bachelor's degree. Understanding of applied statistical modelling, math modeling, and ML techniques (e.g. Clustering, Classification, Regression, Dimensionality Reduction, Ensemble Methods, Natural Language Processing) Programming & Data Engineering: Experience in Python, PySpark, or R for data curation, transformation, analysis, modeling, and visualization tasks. Analytical Problem-Solving: Strong analytical and problem-solving abilities, focused on delivering actionable business solutions. Strong presentation and communication skills, client service and technical writing skills for both technical and business audiences. 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.

looking for enthusiastic Senior level SQL Database administrators 3 to 7 years Interested candidates kindly share your updated resume to: E-kalaivani.jayakumar@msc.com Job Location: - Chennai Ambattur Currently only * Male candidates preferable, as we have rotational shifts Position: - Senior SQL DBA Experience: - 3 to 7 years 4+ years of end-to-end experience in 24/7 Database administration of SQL Server 2017 plus. Good exposure to Administering Azure SQL Database. Basic knowledge of usage of Azure portal and cloud terminology. Experience in managing and patching SQL Server Failover cluster and AlwaysOn . Experience in monitoring using Redgate, SQL Monitor or any equivalent tool. Experience in DBA routine task automation through PowerShell. Proven experience in troubleshooting high critical incidents and provide live performance optimization support. Proven knowledge in performance tuning and review code for tuning scope. Basic Experience in SSIS, SSRS and SSAS. Proven support with ITIL process with great dedication for SLA. Proven self-learning skills and thirst for doing POCs in new tools and features. Good interpersonal skills, team player and fully adaptable to changing environment. Skill Set: - SQL DBA, Performance tuning, Azure, &T-SQL/PowerShell Shift : 24/7 including 5 days night Shift per Month Qualification: - B.E/B.Tech/BCA/MCA/ Job Location: - Chennai Ambattur Mode of work: work from Office Job Role : Permanent MSC Technology (India) Pvt Ltd MSC IT PARK, 4A, 3rd Main Rd, Old Ambattur, Attipattu, Ambattur Industrial Estate, Chennai, Tamil Nadu 600058 Gopinath G D (MSC Technology India) Human Resource Warm Regards

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. About the role: We are seeking skilled, proactive and motivational Mid Data Scientist who have good hands-on experience in data wrangling, transformations, building data-driven insights and statistical models. As part of the PDT DD&T (Data, Digital & Transformation) team, you will leverage advanced analytics to deliver data-driven solutions and strategic insights that drive impactful business outcomes. Collaborating with cross-functional teams—including Pricing, Marketing, and Forecasting—you will analyze datasets, build predictive models, and help shape data strategies to enhance organizational performance. Working closely with the Data Science Senior and fellow data scientists, you will contribute to the broader Data and Analytics chapter of the ICC by providing data-backed recommendations that support key strategic initiatives. How you will contribute: Support the Senior Data Scientist and team members in solving problems, analyzing data and finding solutions. Support in design, development, and deployment of advanced statistics, data science and Artificial Intelligence (AI/ML) solutions to solves complex business problems Collaborate with cross-functional teams to integrate data-driven insights into business strategies and operations Ensure smooth, successful and timely delivery of statistical/data science solutions, decision support solutions and AI/ML products. Preferred requirements: Bachelor’s degree from an accredited institution in Statistics, Applied Mathematics, Statistics, Data Science, Physics, Computer Science, Economics or related quantitative fields (Master’s degree preferred) For a Master's or a PhD, it is expected to have a minimum of 1 years of AI/Machine Learning/ Advanced Statistics/Data Science experience in technology companies, Life Sciences, Pharma, Biotech, or relevant regulated industries (banking, insurance etc.). Minimum 3 years of production level experience after bachelor's degree. Understanding of applied statistical modelling, math modeling, and ML techniques (e.g. Clustering, Classification, Regression, Dimensionality Reduction, Ensemble Methods, Natural Language Processing) Programming & Data Engineering: Experience in Python, PySpark, or R for data curation, transformation, analysis, modeling, and visualization tasks. Analytical Problem-Solving: Strong analytical and problem-solving abilities, focused on delivering actionable business solutions. Strong presentation and communication skills, client service and technical writing skills for both technical and business audiences. 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.

The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. Responsibilities Analyze raw data: assessing quality, cleansing, structuring for downstream processing Design accurate and scalable prediction algorithms Collaborate with engineering team to bring analytical prototypes to production Generate actionable insights for business improvements Qualifications Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau)

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. About the role: We are seeking skilled, proactive and motivational Mid Data Scientist who have good hands-on experience in data wrangling, transformations, building data-driven insights and statistical models. As part of the PDT DD&T (Data, Digital & Transformation) team, you will leverage advanced analytics to deliver data-driven solutions and strategic insights that drive impactful business outcomes. Collaborating with cross-functional teams—including Pricing, Marketing, and Forecasting—you will analyze datasets, build predictive models, and help shape data strategies to enhance organizational performance. Working closely with the Data Science Senior and fellow data scientists, you will contribute to the broader Data and Analytics chapter of the ICC by providing data-backed recommendations that support key strategic initiatives. How you will contribute: Support the Senior Data Scientist and team members in solving problems, analyzing data and finding solutions. Support in design, development, and deployment of advanced statistics, data science and Artificial Intelligence (AI/ML) solutions to solves complex business problems Collaborate with cross-functional teams to integrate data-driven insights into business strategies and operations Ensure smooth, successful and timely delivery of statistical/data science solutions, decision support solutions and AI/ML products. Preferred requirements: Bachelor’s degree from an accredited institution in Statistics, Applied Mathematics, Statistics, Data Science, Physics, Computer Science, Economics or related quantitative fields (Master’s degree preferred) For a Master's or a PhD, it is expected to have a minimum of 1 years of AI/Machine Learning/ Advanced Statistics/Data Science experience in technology companies, Life Sciences, Pharma, Biotech, or relevant regulated industries (banking, insurance etc.). Minimum 3 years of production level experience after bachelor's degree. Understanding of applied statistical modelling, math modeling, and ML techniques (e.g. Clustering, Classification, Regression, Dimensionality Reduction, Ensemble Methods, Natural Language Processing) Programming & Data Engineering: Experience in Python, PySpark, or R for data curation, transformation, analysis, modeling, and visualization tasks. Analytical Problem-Solving: Strong analytical and problem-solving abilities, focused on delivering actionable business solutions. Strong presentation and communication skills, client service and technical writing skills for both technical and business audiences. 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.

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. About the role: We are seeking skilled, proactive and motivational Mid Data Scientist who have good hands-on experience in data wrangling, transformations, building data-driven insights and statistical models. As part of the PDT DD&T (Data, Digital & Transformation) team, you will leverage advanced analytics to deliver data-driven solutions and strategic insights that drive impactful business outcomes. Collaborating with cross-functional teams—including Pricing, Marketing, and Forecasting—you will analyze datasets, build predictive models, and help shape data strategies to enhance organizational performance. Working closely with the Data Science Senior and fellow data scientists, you will contribute to the broader Data and Analytics chapter of the ICC by providing data-backed recommendations that support key strategic initiatives. How you will contribute: Support the Senior Data Scientist and team members in solving problems, analyzing data and finding solutions. Support in design, development, and deployment of advanced statistics, data science and Artificial Intelligence (AI/ML) solutions to solves complex business problems Collaborate with cross-functional teams to integrate data-driven insights into business strategies and operations Ensure smooth, successful and timely delivery of statistical/data science solutions, decision support solutions and AI/ML products. Preferred requirements: Bachelor’s degree from an accredited institution in Statistics, Applied Mathematics, Statistics, Data Science, Physics, Computer Science, Economics or related quantitative fields (Master’s degree preferred) For a Master's or a PhD, it is expected to have a minimum of 1 years of AI/Machine Learning/ Advanced Statistics/Data Science experience in technology companies, Life Sciences, Pharma, Biotech, or relevant regulated industries (banking, insurance etc.). Minimum 3 years of production level experience after bachelor's degree. Understanding of applied statistical modelling, math modeling, and ML techniques (e.g. Clustering, Classification, Regression, Dimensionality Reduction, Ensemble Methods, Natural Language Processing) Programming & Data Engineering: Experience in Python, PySpark, or R for data curation, transformation, analysis, modeling, and visualization tasks. Analytical Problem-Solving: Strong analytical and problem-solving abilities, focused on delivering actionable business solutions. Strong presentation and communication skills, client service and technical writing skills for both technical and business audiences. 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.

We are looking for a skilled SQL DBA to join our team at JADE Global Software Pvt. Ltd., with 6-8 years of experience in the software industry. Roles and Responsibility Design, implement, and manage database architectures to support business requirements. Develop and maintain databases to ensure high performance, security, and availability. Collaborate with cross-functional teams to identify and prioritize database needs. Troubleshoot and resolve complex database issues efficiently. Ensure compliance with organizational standards and best practices. Optimize database queries for improved performance and efficiency. Job Requirements Strong knowledge of database design principles and data modeling techniques. Experience with database management systems such as MySQL or PostgreSQL. Proficiency in writing efficient SQL queries and stored procedures. Excellent problem-solving skills and attention to detail. Ability to work collaboratively in a team environment. Strong communication and interpersonal skills.

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. About the role: We are seeking skilled, proactive and motivational Mid Data Scientist who have good hands-on experience in data wrangling, transformations, building data-driven insights and statistical models. As part of the PDT DD&T (Data, Digital & Transformation) team, you will leverage advanced analytics to deliver data-driven solutions and strategic insights that drive impactful business outcomes. Collaborating with cross-functional teams—including Pricing, Marketing, and Forecasting—you will analyze datasets, build predictive models, and help shape data strategies to enhance organizational performance. Working closely with the Data Science Senior and fellow data scientists, you will contribute to the broader Data and Analytics chapter of the ICC by providing data-backed recommendations that support key strategic initiatives. How you will contribute: Support the Senior Data Scientist and team members in solving problems, analyzing data and finding solutions. Support in design, development, and deployment of advanced statistics, data science and Artificial Intelligence (AI/ML) solutions to solves complex business problems Collaborate with cross-functional teams to integrate data-driven insights into business strategies and operations Ensure smooth, successful and timely delivery of statistical/data science solutions, decision support solutions and AI/ML products. Preferred requirements: Bachelor’s degree from an accredited institution in Statistics, Applied Mathematics, Statistics, Data Science, Physics, Computer Science, Economics or related quantitative fields (Master’s degree preferred) For a Master's or a PhD, it is expected to have a minimum of 1 years of AI/Machine Learning/ Advanced Statistics/Data Science experience in technology companies, Life Sciences, Pharma, Biotech, or relevant regulated industries (banking, insurance etc.). Minimum 3 years of production level experience after bachelor's degree. Understanding of applied statistical modelling, math modeling, and ML techniques (e.g. Clustering, Classification, Regression, Dimensionality Reduction, Ensemble Methods, Natural Language Processing) Programming & Data Engineering: Experience in Python, PySpark, or R for data curation, transformation, analysis, modeling, and visualization tasks. Analytical Problem-Solving: Strong analytical and problem-solving abilities, focused on delivering actionable business solutions. Strong presentation and communication skills, client service and technical writing skills for both technical and business audiences. 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.

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. About the role: We are seeking skilled, proactive and motivational Mid Data Scientist who have good hands-on experience in data wrangling, transformations, building data-driven insights and statistical models. As part of the PDT DD&T (Data, Digital & Transformation) team, you will leverage advanced analytics to deliver data-driven solutions and strategic insights that drive impactful business outcomes. Collaborating with cross-functional teams—including Pricing, Marketing, and Forecasting—you will analyze datasets, build predictive models, and help shape data strategies to enhance organizational performance. Working closely with the Data Science Senior and fellow data scientists, you will contribute to the broader Data and Analytics chapter of the ICC by providing data-backed recommendations that support key strategic initiatives. How you will contribute: Support the Senior Data Scientist and team members in solving problems, analyzing data and finding solutions. Support in design, development, and deployment of advanced statistics, data science and Artificial Intelligence (AI/ML) solutions to solves complex business problems Collaborate with cross-functional teams to integrate data-driven insights into business strategies and operations Ensure smooth, successful and timely delivery of statistical/data science solutions, decision support solutions and AI/ML products. Preferred requirements: Bachelor’s degree from an accredited institution in Statistics, Applied Mathematics, Statistics, Data Science, Physics, Computer Science, Economics or related quantitative fields (Master’s degree preferred) For a Master's or a PhD, it is expected to have a minimum of 1 years of AI/Machine Learning/ Advanced Statistics/Data Science experience in technology companies, Life Sciences, Pharma, Biotech, or relevant regulated industries (banking, insurance etc.). Minimum 3 years of production level experience after bachelor's degree. Understanding of applied statistical modelling, math modeling, and ML techniques (e.g. Clustering, Classification, Regression, Dimensionality Reduction, Ensemble Methods, Natural Language Processing) Programming & Data Engineering: Experience in Python, PySpark, or R for data curation, transformation, analysis, modeling, and visualization tasks. Analytical Problem-Solving: Strong analytical and problem-solving abilities, focused on delivering actionable business solutions. Strong presentation and communication skills, client service and technical writing skills for both technical and business audiences. 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.

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. About the role: We are seeking skilled, proactive and motivational Mid Data Scientist who have good hands-on experience in data wrangling, transformations, building data-driven insights and statistical models. As part of the PDT DD&T (Data, Digital & Transformation) team, you will leverage advanced analytics to deliver data-driven solutions and strategic insights that drive impactful business outcomes. Collaborating with cross-functional teams—including Pricing, Marketing, and Forecasting—you will analyze datasets, build predictive models, and help shape data strategies to enhance organizational performance. Working closely with the Data Science Senior and fellow data scientists, you will contribute to the broader Data and Analytics chapter of the ICC by providing data-backed recommendations that support key strategic initiatives. How you will contribute: Support the Senior Data Scientist and team members in solving problems, analyzing data and finding solutions. Support in design, development, and deployment of advanced statistics, data science and Artificial Intelligence (AI/ML) solutions to solves complex business problems Collaborate with cross-functional teams to integrate data-driven insights into business strategies and operations Ensure smooth, successful and timely delivery of statistical/data science solutions, decision support solutions and AI/ML products. Preferred requirements: Bachelor’s degree from an accredited institution in Statistics, Applied Mathematics, Statistics, Data Science, Physics, Computer Science, Economics or related quantitative fields (Master’s degree preferred) For a Master's or a PhD, it is expected to have a minimum of 1 years of AI/Machine Learning/ Advanced Statistics/Data Science experience in technology companies, Life Sciences, Pharma, Biotech, or relevant regulated industries (banking, insurance etc.). Minimum 3 years of production level experience after bachelor's degree. Understanding of applied statistical modelling, math modeling, and ML techniques (e.g. Clustering, Classification, Regression, Dimensionality Reduction, Ensemble Methods, Natural Language Processing) Programming & Data Engineering: Experience in Python, PySpark, or R for data curation, transformation, analysis, modeling, and visualization tasks. Analytical Problem-Solving: Strong analytical and problem-solving abilities, focused on delivering actionable business solutions. Strong presentation and communication skills, client service and technical writing skills for both technical and business audiences. 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.

At least SQL DBA experience, 6+ years required Thorough Knowledge of Windows Operating System, Networks and Active Directory . Knowledge of creating and maintaining standby / replication setup . Strong in SQL fundamentals . Knowledge of using Enterprise Manager and Query Analyzed for basic administration . Knowledge of configuring and setting up maintenance activities for DB . Knowledge of SQL statements tuning and DB Tuning . Knowledge on DB structures (filegroups, Indexes - clustered /non clustered/fillfactor) . Knowledge on Memory structures (configurable parameters) Knowledge of complete /differential / transactional backups and their recovery scenarios . Knowledge on High Availability configuration like replication and log shipping , cluster setup . Knowledge of DTS and bcp and other data load tools across same and different RDBMS Knowledge on database design and storage recommendation and NTFS file systems & capacity planning . Knowledge in making scripts for automations , writing procedures and functions . Knowledge of ITIL processes & Transition Management . Excellent communication Skills Prior experience in a 24x7 environment desired Strong analytical and troubleshooting skills. Provide on-call support as and when required Ability to handle pressure Additional Qualification / Skills : Wxp - 6+ yrs Location - Kochi, Pune CBR-130K Team Leader MCSE MSSQL Certification is mandatory Technically sound knowledge on Clustering, Log Shipping, Mirroring, Always on In depth Knowledge on SQL server 2000, 2005, 2008, 2012, 2014, 2016, 2017, 2019 Versions. cloud, Azure, AW Do Provide adequate support in architecture planning, migration & installation for new projects in own tower (platform/dbase/ middleware/ backup) Lead the structural/ architectural design of a platform/ middleware/ database/ back up etc. according to various system requirements to ensure a highly scalable and extensible solution Conduct technology capacity planning by reviewing the current and future requirements Utilize and leverage the new features of all underlying technologies to ensure smooth functioning of the installed databases and applications/ platforms, as applicable Strategize & implement disaster recovery plans and create and implement backup and recovery plans Manage the day-to-day operations of the tower Manage day-to-day operations by troubleshooting any issues, conducting root cause analysis (RCA) and developing fixes to avoid similar issues. Plan for and manage upgradations, migration, maintenance, backup, installation and configuration functions for own tower Review the technical performance of own tower and deploy ways to improve efficiency, fine tune performance and reduce performance challenges Develop shift roster for the team to ensure no disruption in the tower Create and update SOPs, Data Responsibility Matrices, operations manuals, daily test plans, data architecture guidance etc. Provide weekly status reports to the client leadership team, internal stakeholders on database activities w.r.t. progress, updates, status, and next steps Leverage technology to develop Service Improvement Plan (SIP) through automation and other initiatives for higher efficiency and effectiveness Team Management Resourcing Forecast talent requirements as per the current and future business needs Hire adequate and right resources for the team Train direct reportees to make right recruitment and selection decisions Talent Management Ensure 100% compliance to Wipros standards of adequate onboarding and training for team members to enhance capability & effectiveness Build an internal talent pool of HiPos and ensure their career progression within the organization Promote diversity in leadership positions Performance Management Set goals for direct reportees, conduct timely performance reviews and appraisals, and give constructive feedback to direct reports. Ensure that organizational programs like Performance Nxt are well understood and that the team is taking the opportunities presented by such programs to their and their levels below Employee Satisfaction and Engagement Lead and drive engagement initiatives for the team Track team satisfaction scores and identify initiatives to build engagement within the team Proactively challenge the team with larger and enriching projects/ initiatives for the organization or team Exercise employee recognition and appreciation Deliver NoPerformance ParameterMeasure1Operations of the towerSLA adherence Knowledge management CSAT/ Customer Experience Identification of risk issues and mitigation plans Knowledge management2New projectsTimely delivery Avoid unauthorised changes No formal escalations Mandatory Skills: MSSQL Database Admin. Experience5-8 Years.

Key Responsibilities: Data Analysis : Analyze large datasets to identify trends, patterns, and insights that inform business decisions. Predictive Modeling : Develop and implement machine learning algorithms to predict future outcomes and optimize business processes. ( By LLM, AI / ML) Data Visualization : Create reports and visualizations to communicate findings to non-technical stakeholders. Collaboration : Work with cross-functional teams to develop data-driven strategies and implement solutions. Data Management : Ensure data quality, integrity, and compliance with data governance policies. Required Skills: Technical Skills : Proficiency in programming languages like Python and SQL, and experience with machine learning frameworks and tools. Data Science Techniques : Knowledge of statistical modeling, data mining, and machine learning algorithms, such as regression, clustering, and decision trees. Communication : Strong written and verbal communication skills to effectively convey insights to stakeholders. Minimum 5 years of experience in data science or a related field, with a proven track record of implementing data-driven solutions. Strong problem-solving skills with an emphasis on product development and process optimization. Experience working with large datasets and developing predictive models to drive business outcomes.

JOB DESCRIPTION Technology Deployment and Management Service (TDMS) organization is a critical arm of Oracle FLEXCUBE consulting group. TDMS delivers Oracle Technology services for FSGBU product customer, while the applications team focusses on the application customization and setup. We are looking for a highly capable, self-motivated and independent Cloud Operations Engineers based in India. If you are passionate about Oracle technology as well as cloud computing, this is the ideal role you’ve been waiting for. Our team supports technology which are available both Cloud and on-premise. Extensive Experience with multiple Public Cloud Provider (OCI, Azure, AWS, GCP) Extensive experience supporting Cloud or PaaS / SaaS production environment Experience with Cloud Services and Cloud Automation solution Manage and administer cloud platforms of OCI / Azure / AWS hosting enterprise applications and databases of Oracle /MySQL on Linux/ Windows environments and hosting infrastructure in accordance with company security guidelines. Experience in providing Level 2/3 support on Public Cloud (OCI, AWS, AZUE, etc.) Strong analysis and troubleshooting skills and experience Experience in carrying out Cost Analysis Automation – experience in the likes of Ansible or Cloud Formation Scripting experience in Python, Powershell or Ansible Platform experience with the likes of RedHat, Linux or Windows advantageous Experience in Containers/VMWare Knowledge of ITIL best practices Responsible for developing processes for enforcing cloud governance, architecture, operating procedures, monitoring, and system standards. Respond to incidents, own them and drive to completion, participate in root cause analysis. Orchestrating and automating cloud-based platforms with primary focus on OCI, AWS and Azure. Deploying and debugging cloud initiatives as needed in accordance with best practices throughout the development lifecycle. Employing exceptional problem-solving skills, with the ability to see and solve issues before they snowball into problems. Educating teams on the implementation of new cloud-based initiatives and writing SOP (Standard Operating Procedures) to accomplish repetitive tasks. Requirements Graduate in Computer Science or Engineering. Certification in OCI / AWS / Azure as Solutions Architect given a high priority. Any Cloud Security certification a plus. Experience in infrastructure setup, services operation, monitoring and governance in public cloud environments (OCI, AWS, Azure). Strong experience working with enterprise application architectures and Databases (Oracle) clustering, High Availability. Extensive knowledge of Linux / Windows based systems including Hardware, software, networking, Cloud storage and fault tolerant designs. Very strong in writing puppet modules for deployment automation, Terraforms and scripting languages like Perl, Python, Power shell scripting. Experience in DevOps setup procedures and process, workflow automation, CI/CD pipeline development. Excellent communication and written skills and ability to generate and evangelize architectural documentation / diagrams across many teams. Skilled at working in tandem with a team of engineers, or alone as required Career Level - IC2 RESPONSIBILITIES Technology Deployment and Management Service (TDMS) organization is a critical arm of Oracle FLEXCUBE consulting group. TDMS delivers Oracle Technology services for FSGBU product customer, while the applications team focusses on the application customization and setup. We are looking for a highly capable, self-motivated and independent Cloud Operations Engineers based in India. If you are passionate about Oracle technology as well as cloud computing, this is the ideal role you’ve been waiting for. Our team supports technology which are available both Cloud and on-premise. Extensive Experience with multiple Public Cloud Provider (OCI, Azure, AWS, GCP) Extensive experience supporting Cloud or PaaS / SaaS production environment Experience with Cloud Services and Cloud Automation solution Manage and administer cloud platforms of OCI / Azure / AWS hosting enterprise applications and databases of Oracle /MySQL on Linux/ Windows environments and hosting infrastructure in accordance with company security guidelines. Experience in providing Level 2/3 support on Public Cloud (OCI, AWS, AZUE, etc.) Strong analysis and troubleshooting skills and experience Experience in carrying out Cost Analysis Automation – experience in the likes of Ansible or Cloud Formation Scripting experience in Python, Powershell or Ansible Platform experience with the likes of RedHat, Linux or Windows advantageous Experience in Containers/VMWare Knowledge of ITIL best practices Responsible for developing processes for enforcing cloud governance, architecture, operating procedures, monitoring, and system standards. Respond to incidents, own them and drive to completion, participate in root cause analysis. Orchestrating and automating cloud-based platforms with primary focus on OCI, AWS and Azure. Deploying and debugging cloud initiatives as needed in accordance with best practices throughout the development lifecycle. Employing exceptional problem-solving skills, with the ability to see and solve issues before they snowball into problems. Educating teams on the implementation of new cloud-based initiatives and writing SOP (Standard Operating Procedures) to accomplish repetitive tasks. Requirements Graduate in Computer Science or Engineering. Certification in OCI / AWS / Azure as Solutions Architect given a high priority. Any Cloud Security certification a plus. Experience in infrastructure setup, services operation, monitoring and governance in public cloud environments (OCI, AWS, Azure). Strong experience working with enterprise application architectures and Databases (Oracle) clustering, High Availability. Extensive knowledge of Linux / Windows based systems including Hardware, software, networking, Cloud storage and fault tolerant designs. Very strong in writing puppet modules for deployment automation, Terraforms and scripting languages like Perl, Python, Power shell scripting. Experience in DevOps setup procedures and process, workflow automation, CI/CD pipeline development. Excellent communication and written skills and ability to generate and evangelize architectural documentation / diagrams across many teams. Skilled at working in tandem with a team of engineers, or alone as required QUALIFICATIONS Career Level - IC2 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.

Job Description Professional Expertise: Minimum 7+ years’ experience in Linux/ Solaris Server administration Experience in UNIX Environment - Solaris and Linux Work experience at client location in 24*7 shift support Expertise in installation, configuration and upgradation, patching, administration and storage implementation Ability to articulate standard methodologies for during implementation Experience in Oracle VM Manager LDOM / OVM Administration Experience in Oracle Engineered system Exadata, Exalogic, PCA etc Experience in Oracle storage Experience in Oracle VM Manager LDOM Administration Diversity and Inclusion: An Oracle career can span industries, roles, Countries and cultures, giving you the opportunity to flourish in new roles and innovate, while blending work life in. Oracle has thrived through 40+ years of change by innovating and operating with integrity while delivering for the top companies in almost every industry. In order to nurture the talent that makes this happen, we are committed to an inclusive culture that celebrates and values diverse insights and perspectives, a workforce that encourages thought leadership and innovation. Oracle offers a highly competitive suite of Employee Benefits crafted on the principles of parity, consistency, and affordability. The overall package includes certain core elements such as Medical, Life Insurance, access to Retirement Planning, and much more. We also encourage our employees to engage in the culture of giving back to the communities where we live and do business. At Oracle, we believe that innovation starts with diversity and inclusion and to build the future we need talent from various backgrounds, perspectives, and abilities. We ensure that individuals with disabilities are provided reasonable accommodation to successfully participate in the job application, interview process, and in potential roles. To perform crucial job functions. That’s why we’re committed to crafting a workforce where all individuals can do their best work. It’s when everyone’s voice is heard and valued that we’re encouraged to go beyond what’s been done before. Responsibilities Required Technical and Professional Expertise Professional Expertise: Minimum 7+ years’ experience in Linux/ Solaris Server administration Experience in UNIX Environment - Solaris and Linux Work experience at client location in 24*7 shift support Expertise in installation, configuration and upgradation, patching, administration and storage implementation Ability to articulate standard methodologies for during implementation Experience in Oracle VM Manager LDOM / OVM Administration Experience in Oracle Engineered system Exadata, Exalogic, PCA etc Experience in Oracle storage Experience in Oracle VM Manager LDOM Administration Preferred Technical and Professional Expertise: Working knowledge of OS clustering, partitioning, virtualization and storage administration, integration with operating systems Demonstrated expertise in UNIX - Solaris and Linux. Working experience in OVM Migration projects Working knowledge on Engineered system like Exadata, Exalogic, 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 Added Advantage Scripting knowledge Qualifications Career Level - IC3 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.

🌟 We're Hiring: SQL DBA! 🌟 We are seeking an experienced SQL Database Administrator (DBA) to manage and optimize our database systems. The ideal candidate will have a robust understanding of database architecture, performance tuning, and security measures to ensure data integrity and availability. 📍 Location: Gurgram, Delhi, India ⏰ Work Mode: Work From Office 💼 Role: SQL DBA What You'll Do 🎯 Design, implement, and maintain SQL databases for optimal performance 🔧 Monitor database health and troubleshoot issues proactively 📊 Perform regular backups, recovery tasks, and data migrations 🛡️ Ensure database security by implementing access controls and encryption 🔍 Conduct performance tuning and optimization of queries 🤝 Collaborate with development teams to support data-driven applications What We’re Looking For ✅ 9+ years of experience in SQL database administration ✅ Strong knowledge of T-SQL programming and query optimization techniques ✅ Experience with high-availability solutions like clustering or replication ✅ Familiarity with cloud-based database solutions is a plus ✅ Excellent problem-solving skills and attention to detail Ready to make an impact? 🚀 Apply now and let’s grow together!

Experience: 5 to 12 Years Required Qualifications: Data Engineering Skills 3–5 years of experience in data engineering, with hands-on experience in Snowflake and basic to intermediate proficiency in dbt. Capable of building and maintaining ELT pipelines using dbt and Snowflake, with guidance on architecture and best practices. Understanding of ELT principles and foundational knowledge of data modeling techniques (preferably Kimball/Dimensional). Intermediate experience with SAP Data Services (SAP DS), including extracting, transforming, and integrating data from legacy systems. Proficient in SQL for data transformation and basic performance tuning in Snowflake (e.g., clustering, partitioning, materializations). Familiar with workflow orchestration tools like dbt Cloud, Airflow, or Control M. Experience using Git for version control and exposure to CI/CD workflows in team environments. Exposure to cloud storage solutions such as Azure Data Lake, AWS S3, or GCS for ingestion and external staging in Snowflake. Working knowledge of Python for basic automation and data manipulation tasks. Understanding of Snowflake's role-based access control (RBAC), data security features, and general data privacy practices like GDPR. Key Responsibilities Design and build robust ELT pipelines using dbt on Snowflake, including ingestion from relational databases, APIs, cloud storage, and flat files. Reverse-engineer and optimize SAP Data Services (SAP DS) jobs to support scalable migration to cloud-based data platforms. Implement layered data architectures (e.g., staging, intermediate, mart layers) to enable reliable and reusable data assets. Enhance dbt/Snowflake workflows through performance optimization techniques such as clustering, partitioning, query profiling, and efficient SQL design. Use orchestration tools like Airflow, dbt Cloud, and Control-M to schedule, monitor, and manage data workflows. Apply modular SQL practices, testing, documentation, and Git-based CI/CD workflows for version-controlled, maintainable code. Collaborate with data analysts, scientists, and architects to gather requirements, document solutions, and deliver validated datasets. Contribute to internal knowledge sharing through reusable dbt components and participate in Agile ceremonies to support consulting delivery. Skills: data modeling,cloud storage,ci,workflow orchestration tools,elt pipelines,aws s3,data engineering,azure data lake,data security,ci/cd,dbt,workflow orchestration,cloud storage solutions,snowflake,git,airflow,gcs,sql,python,sap data services

About the Role We are seeking a highly skilled Senior AI/ML Engineer to join our dynamic team. The ideal candidate will have extensive experience in designing, building, and deploying machine learning models and AI solutions to solve real-world business challenges. You will collaborate with cross-functional teams to create and integrate AI/ML models into end-to-end applications, ensuring models are accessible through APIs or product interfaces for real-time usage. Responsibilities Lead the design, development, and deployment of machine learning models for various use cases such as recommendation systems, computer vision, natural language processing (NLP), and predictive analytics. Work with large datasets to build, train, and optimize models using techniques such as classification, regression, clustering, and neural networks. Fine-tune pre-trained models and develop custom models based on specific business needs. Collaborate with data engineers to build scalable data pipelines and ensure the smooth integration of models into production. Collaborate with frontend/backend engineers to build AI-driven features into products or platforms. Build proof-of-concept or production-grade AI applications and tools with intuitive UIs or workflows. Ensure scalability and performance of deployed AI solutions within the full application stack. Implement model monitoring and maintenance strategies to ensure performance, accuracy, and continuous improvement of deployed models. Design and implement APIs or services that expose machine learning models to frontend or other systems Utilize cloud platforms (AWS, GCP, Azure) to deploy, manage, and scale AI/ML solutions. Stay up-to-date with the latest advancements in AI/ML research, and apply innovative techniques to improve existing systems. Communicate effectively with stakeholders to understand business requirements and translate them into AI/ML-driven solutions. Document processes, methodologies, and results for future reference and reproducibility. Required Skills & Qualifications Experience: 5+ years of experience in AI/ML engineering roles, with a proven track record of successfully delivering machine learning projects. AI/ML Expertise: Strong knowledge of machine learning algorithms (supervised, unsupervised, reinforcement learning) and AI techniques, including NLP, computer vision, and recommendation systems. Programming Languages: Proficient in Python and relevant ML libraries such as TensorFlow, PyTorch, Scikit-learn, and Keras. Data Manipulation: Experience with data manipulation libraries such as Pandas, NumPy, and SQL for managing and processing large datasets. Model Development: Expertise in building, training, deploying, and fine-tuning machine learning models in production environments. Cloud Platforms: Experience with cloud platforms such as AWS, GCP, or Azure for the deployment and scaling of AI/ML models. MLOps: Knowledge of MLOps practices for model versioning, automation, and monitoring. Data Preprocessing: Proficient in data cleaning, feature engineering, and preparing datasets for model training. Strong experience building and deploying end-to-end AI-powered applications—not just models but full system integration. Hands-on experience with Flask, FastAPI, Django, or similar for building REST APIs for model serving. Understanding of system design and software architecture for integrating AI into production environments. Experience with frontend/backend integration (basic React/Next.js knowledge is a plus). Demonstrated projects where AI models were part of deployed user-facing applications. NLP & Computer Vision: Hands-on experience with natural language processing or computer vision projects. Big Data: Familiarity with big data tools and frameworks (e.g., Apache Spark, Hadoop) is an advantage. Problem-Solving Skills: Strong analytical and problem-solving abilities, with a focus on delivering practical AI/ML solutions. Nice to Have Experience with deep learning architectures (CNNs, RNNs, GANs, etc.) and techniques. Knowledge of deployment strategies for AI models using APIs, Docker, or Kubernetes. Experience building full-stack applications powered by AI (e.g., chatbots, recommendation dashboards, AI assistants, etc.). Experience deploying AI/ML models in real-time environments using API gateways, microservices, or orchestration tools like Docker and Kubernetes. Solid understanding of statistics and probability. Experience working in Agile development environments. What You'll Gain Be part of a forward-thinking team working on cutting-edge AI/ML technologies. Collaborate with a diverse, highly skilled team in a fast-paced environment. Opportunity to work on impactful projects with real-world applications. Competitive salary and career growth opportunities Job Types: Full-time, Permanent Pay: ₹800,000.00 - ₹1,100,000.00 per year Benefits: Paid sick time Paid time off Provident Fund Schedule: Day shift Fixed shift Supplemental Pay: Yearly bonus Application Question(s): What is your Notice Period? What is your current and expected CTC? Work Location: In person

Director, Data Insights & Automation Statistics & Data Corporation (SDC), a specialized contract research organization (CRO) headquartered in Arizona, delivering top-tier clinical trial services to pharmaceutical, biologic, and medical device/diagnostic companies since 2005. SDC providing a technology enabled service offering to provide clients with both clinical services expertise, as well as the technology they need to be successful in their clinical trials. Job Summary Direct the development and maintenance of the required systems, infrastructure, and personnel to enable reliable, cost effective, automation and machine learning solutions available within SDC and to external partners and clients. Ensure systems and applications have appropriate validation documentation in place according to standard operating procedures. Maintain portfolio of requested and completed applications, including metrics around resource needs (internal and external to DI&A), and intended goal of the application to enable discussion around prioritization. Develop agile development practices on large initiatives to ensure alignment with the specific company goals. Participate in the identification of cross department company goals and initiatives. Oversee the continued effort to clean, process, store and analyze clinical data with its application towards research and development of Artificial Intelligence (AI) and Machine Learning (ML) algorithms supporting better understanding of the safety and efficacy of new therapies. Contribute to the organization’s strong drive to be at forefront of using AI in clinical trials to simplify data processing and discover imperceptible correlations. Lead and manage software development activities to drive automation across SDC departments reducing error and increasing efficiency across those departments. Serve as the primary point within the company driving standardization. Primary Responsibilities Oversee day to data activities involving data science, data engineering, automation, and business intelligence Develop standard metrics demonstrating model performance, robustness, and validity Engage with various internal departments such as data management, technology solutions, biostatistics, statistical programming, project management, IT, and business development to strategically identify areas to apply AI and/or ML toward increasing the efficiency of processes and detecting information trends Ensure that algorithms can be practically deployed with minimal resource usage and maximum ease of use in existing architecture Oversee the delivery of high-quality software design documentation Develop ML models which autonomously identify inconsistent information in patient data and discover the correlations between patient data and medically relevant conditions such as a specific adverse event or high efficaciousness Prototype new ideas/technologies to create proof of concept and demos Develop standard operating procedures for the use of artificial intelligence within clinical trials Develop and communicate roadmap of activities and updates quarterly to executive management Ensure timelines and delivery are met and raise issues early for any risks Perform other related duties incidental to the work described herein Adherence to all essential systems and processes that are required at SDC to maintain compliance to business and regulatory requirements The above statements describe the general nature and level of work being performed by individuals assigned to this classification. This document is not intended to be an exhaustive list of all responsibilities and duties required of personnel so classified. Requirements Required Skills Experience with an AI framework such as: Tensorflow, MXNet, Theano, Keras, Pytorch, Caffe Experience in Python Experience in the software development process: Evidence of delivering production level code Familiarity with AI algorithms for problems, including natural language processing, classification, clustering, dimensionality reduction, anomaly detection Experience in applying AI to biomedical data analysis preferred Ability to develop and deliver presentations Ability to communicate effectively in writing and verbally Ability to identify issues, present problems, and implement solutions Capability of communicating technical concepts clearly, concisely, and understandably to non-technical colleagues Good leadership, organizational and time management skills, with the ability to multi-task Strong interpersonal communication and presentation skills Education or Equivalent Experience A Master’s degree in information and data science, operations research, mathematics, statistics, computer science or other related field, with focus in artificial intelligence preferred, and at least 7+ years of relevant professional experience or a Bachelor’s degree with 10+ years of relevant professional experience Benefits Why SDC SDC is a team of diversified professionals who deliver exceptional Biometric Services, Consulting, and Technology Solutions to pharmaceutical, biologic, and medical device/diagnostic companies. Since 2005 our purpose has been to partner with sponsors to provide high quality and experienced team members to develop great medicines that save lives and cure diseases in the most efficient manner possible. Our global team operates as a value partner to our clients by fulfilling their needs as our own and delivering exceptional results. We are a specialty CRO in that we provide scalable service offerings, focused services area specialists, efficient project timelines, optimal technology solutions, and proven success and experience. Our commitment to our clients is the same commitment to our employees. By offering strong benefits including competitive pay, generous time off, attainable career advances and positive work/life balance, we are able to attract some of the most talented people in the industry. We are committed to developing our employees. We recognize achievements, provide growth opportunities and career advancement, offer a flexible work schedule, engaging work culture and employee benefits. We are passionate about our company culture. Our recognition program is directly tied to our core values of Energy, Integrity, Engagement, Innovation, Ownership, and Commitment. We strive to provide a place of belonging to our employees with fun and engaging activities from SDC’s culture club. We are constantly growing and innovating to support our client and employee needs. Global in nature, we bring diverse perspectives enabling our growth in this ever-evolving industry. With a proven track record, SDC has been successfully executing client clinical programs since 2005. Take a look at how you can join our team! #LI-Hybrid

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. We are looking for an AI/ML Specialist with expertise in clustering algorithms, dimension reduction algorithms, and anomaly detection techniques on large datasets. The ideal candidate will be well-versed in unsupervised learning techniques and have solid proficiency in Python and various ML modules such as PyTorch, TensorFlow, or Scikit-learn. Additionally, the candidate should have extensive knowledge of Snowflake, Databricks, and Azure services like Azure ML and AKS. Knowledge of healthcare and FHIR standards. Primary Responsibilities: Develop and implement clustering algorithms to analyze large datasets and detect anomalies Apply dimension reduction techniques to enhance data processing and model performance Utilize unsupervised learning techniques to uncover patterns and insights from data Select, write, train, and test AI/ML models to ensure optimal accuracy and performance Collaborate with cross-functional teams to integrate AI/ML solutions into existing systems Utilize Python and ML modules (PyTorch, TensorFlow, Scikit-learn) for model development and deployment Leverage Snowflake and Databricks for data warehousing and management Utilize Azure services such as Azure ML and AKS for model deployment and management Continuously monitor and refine models to improve their effectiveness Document processes and results, and present findings to stakeholders Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, or a related field Proven experience in developing and implementing clustering algorithms, dimension reduction techniques, and anomaly detection Experience with Azure services (Azure ML, AKS) Knowledge of Snowflake and Databricks Proficiency in Python and ML modules (PyTorch, TensorFlow, Scikit-learn) Solid understanding of unsupervised learning techniques Proven excellent problem-solving skills and attention to detail Proven ability to work independently and as part of a team. Proven solid communication skills to convey complex technical concepts to non-technical stakeholders At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone–of every race, gender, sexuality, age, location and income–deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission.