Mailstone is looking for Senior Architect to join our dynamic team and embark on a rewarding career journey Should be able to resolve technical issues faced by team members Looking for someone from project management skill set Experience in system integration, performance monitoring Excellent communication and interpersonal skills, with the ability to collaborate effectively with other professionals and clients Provide technical guidance and mentorship to junior architects and design staff Excellent design, visualization, and problem-solving skills, with the ability to develop creative and innovative solutions Leadership and team management skills, with the ability to oversee and guide the work of other architects and design staff

Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NA Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As a Data Platform Engineer, you will assist with the data platform blueprint and design, collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models. You will play a crucial role in the development and maintenance of the data platform components, contributing to the overall success of the project. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Assist with the data platform blueprint and design. - Collaborate with Integration Architects and Data Architects to ensure cohesive integration between systems and data models. - Develop and maintain data platform components. - Contribute to the overall success of the project. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform. - Strong understanding of statistical analysis and machine learning algorithms. - Experience with data visualization tools such as Tableau or Power BI. - Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. - Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information: - The candidate should have a minimum of 2 years of experience in Databricks Unified Data Analytics Platform. - This position is based at our Pune office. - A 15 years full time education is required. Show more Show less

Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NA Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As a Data Platform Engineer, you will assist with the data platform blueprint and design, collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models. You will play a crucial role in the development and maintenance of the data platform components, contributing to the overall success of the project. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Assist with the data platform blueprint and design. - Collaborate with Integration Architects and Data Architects to ensure cohesive integration between systems and data models. - Develop and maintain data platform components. - Contribute to the overall success of the project. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform. - Strong understanding of statistical analysis and machine learning algorithms. - Experience with data visualization tools such as Tableau or Power BI. - Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. - Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information: - The candidate should have a minimum of 3 years of experience in Databricks Unified Data Analytics Platform. - This position is based at our Pune office. - A 15 years full time education is required. Show more Show less

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : SAP ABAP Development for HANA Good to have skills : NA Minimum 7.5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for managing the team and ensuring successful project delivery. Your typical day will involve collaborating with multiple teams, making key decisions, and providing solutions to problems for your immediate team and across multiple teams. Roles & Responsibilities: - Expected to be an SME - Collaborate and manage the team to perform - Responsible for team decisions - Engage with multiple teams and contribute on key decisions - Provide solutions to problems for their immediate team and across multiple teams - Lead the effort to design, build, and configure applications - Act as the primary point of contact - Manage the team and ensure successful project delivery Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP ABAP Development for HANA S4 HANA Implementation knowledge Life sciences experience - Strong understanding of statistical analysis and machine learning algorithms - Experience with data visualization tools such as Tableau or Power BI - Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms - Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information: - The candidate should have a minimum of 7.5 years of experience in SAP ABAP Development for HANA - This position is based at our Hyderabad office - A 15 years full-time education is required Show more Show less

Why This Role Matters: The purpose of the Software Engineering Specialist Data Science role is to support our digital transformation strategy. This involves working with large data sets to find opportunities increasing productivity, efficiency in field engineering. Must have strong experience in data visualisation, Data Warehouses, data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms. Must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. Responsibilities for Software Engineering Professional, Data Science: Work as the lead data strategist, identifying, integrating and visualizing new datasets that uncover hidden insights and drive business values. Work closely with the engineering team to strategize and execute the development of data products Own delivery and development of intelligent data products, mainly Data Visualization products. Execute analytical experiments methodically to help solve various problems and make a true impact across various domains and industries Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables Analyze data for trends and patterns, and Interpret data with a clear objective in mind Implement analytical models into production by collaborating with software developers and machine learning engineers. Communicate analytic solutions to stakeholders and implement improvements as needed to operational systems What You'll Be doing: Core activities Be a subject expert and drive shared learning and collaboration. Be a leader in the industry and recognised externally as a thought leader and for making outstanding contributions to the industry, perhaps via a professional body Key / unique decisions made by this role The role holder need to possess good hands on technical expertise and design/development/ implementation experience in building large scale enterprise applications. Strong and experienced individual who is self-motivated as well as able to mentor/guide other team members. The individual will have to perform design and development of functionalities and provide assistance in meeting business objectives, solving business problems and furthering business success by applying industry, applications and technical knowledge. Problem solving Solve problems with components delivered by the team; integration between systems; in-life deployment; and non-functional issues. Facilitate the team to scope the problem and determine a possible range of solutions. Take ownership of problems which have a significant risk to a team’s delivery. Process design & documentation The ability to describe, map and document down to the procedural detail complete processes on a structured way. The ability to organise and structure the process flow in synchronisation with the exchanges with other processes. Stakeholder Management Establishes a network of stakeholders, serving as an externally recognised expert in their field and influencing industry forums, external boards and/or conferences through technical expertise. Liaises with CFU and customer stakeholders, ensuring business needs are met through assurance of the design. Change management Able to create and sustain successful large scale and complex business change. An expert in change management. Role Responsibilities Work as the lead data strategist, identifying, integrating and visualizing new datasets that uncover hidden insights and drive business values. Work closely with the engineering team to strategize and execute the development of data products Own delivery and development of intelligent data products, mainly Data Visualization products. Execute analytical experiments methodically to help solve various problems and make a true impact across various domains and industries Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables Analyze data for trends and patterns, and Interpret data with a clear objective in mind Implement analytical models into production by collaborating with software developers and machine learning engineers. Communicate analytic solutions to stakeholders and implement improvements as needed to operational systems Essentials Proficiency with data visualization. Adept in QlikSense and peripheral Qlik products, Excel, PowerPoint, Power BI, SQL/Oracle/Teradata Expert Knowledge on DWH and exposure to BI projects Proficiency in writing complex SQL queries Advanced pattern recognition and analytics experience Experience in building complex data models from large datasets that power analytical dashboards Experience using statistical computer languages (Python, SLQ, etc.) to manipulate data and draw insights from large data sets. Understanding of Machine Learning algorithm is (Regression, Classification, Clustering, And Evaluation Metrics Comfort working in a dynamic, research-oriented group with several ongoing concurrent projects Work with stakeholders to determine how to use business data for valuable business solutions Search for ways to get new data sources and assess their accuracy Browse and analyse enterprise databases to simplify and improve product development, marketing techniques, and business processes Create custom data models and algorithms Coordinate with various technical/functional teams to implement models and monitor results Align to Agile methodologies Desirables Bachelors Degree In Engineering with 7-10 years of experience in Data Analytics. Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) Cloud Experience, preferably AWS GIT Experince Data Analytics Certification Experience in working with geographically dispersed teams About Us BT Group was the world’s first telco and our heritage in the sector is unrivalled. As home to several of the UK’s most recognised and cherished brands – BT, EE, Openreach and Plusnet, we have always played a critical role in creating the future, and we have reached an inflection point in the transformation of our business. Over the next two years, we will complete the UK’s largest and most successful digital infrastructure project – connecting more than 25 million premises to full fibre broadband. Together with our heavy investment in 5G, we play a central role in revolutionising how people connect with each other. While we are through the most capital-intensive phase of our fibre investment, meaning we can reward our shareholders for their commitment and patience, we are absolutely focused on how we organise ourselves in the best way to serve our customers in the years to come. This includes radical simplification of systems, structures, and processes on a huge scale. Together with our application of AI and technology, we are on a path to creating the UK’s best telco, reimagining the customer experience and relationship with one of this country’s biggest infrastructure companies. Change on the scale we will all experience in the coming years is unprecedented. BT Group is committed to being the driving force behind improving connectivity for millions and there has never been a more exciting time to join a company and leadership team with the skills, experience, creativity, and passion to take this company into a new era. A FEW POINTS TO NOTE: Although these roles are listed as full-time, if you’re a job share partnership, work reduced hours, or any other way of working flexibly, please still get in touch. We will also offer reasonable adjustments for the selection process if required, so please do not hesitate to inform us. DON'T MEET EVERY SINGLE REQUIREMENT? Studies have shown that women and people who are disabled, LGBTQ+, neurodiverse or from ethnic minority backgrounds are less likely to apply for jobs unless they meet every single qualification and criteria. We're committed to building a diverse, inclusive, and authentic workplace where everyone can be their best, so if you're excited about this role but your past experience doesn't align perfectly with every requirement on the Job Description, please apply anyway - you may just be the right candidate for this or other roles in our wider team. Show more Show less

Job Title SUSE Linux System Administrator with Pacemaker Cluster Expertise Key Responsibilities 1.⁠ ⁠Design, implement, and manage high-availability SUSE Linux clusters using Pacemaker. 2.⁠ ⁠Ensure optimal performance, scalability, and reliability of Linux-based systems. 3.⁠ ⁠Troubleshoot and resolve complex technical issues in SUSE Linux environments. 4.⁠ ⁠Collaborate with development teams to ensure smooth deployment of applications. 5.⁠ ⁠Develop and maintain documentation for system configurations and procedures. Required Skills 1.⁠ ⁠Strong experience with SUSE Linux (SLE) administration. 2.⁠ ⁠In-depth knowledge of Pacemaker clustering technology. 3.⁠ ⁠Experience with Corosync, DRBD, and other clustering components. 4.⁠ ⁠Familiarity with Linux storage systems (LVM, iSCSI, etc.). 5.⁠ ⁠Scripting skills (Bash, Python, etc.). 6.⁠ ⁠Excellent problem-solving and analytical skills. Nice to Have 1.⁠ ⁠Experience with other clustering technologies (e.g., Red Hat Cluster Suite). 2.⁠ ⁠Knowledge of containerization (Docker, Kubernetes). 3.⁠ ⁠Familiarity with automation tools (Ansible, Puppet, etc.). Education and Certifications 1.⁠ ⁠Bachelor's degree in Computer Science or related field. 2.⁠ ⁠SUSE Certified Administrator (SCA) or equivalent certification. Experience Minimum 3-5 years of experience in Linux system administration with a focus on high-availability clustering using Pacemaker. Location, HCL Noida, Notice 0-30 days Show more Show less

Company Description Ivy: We’re a global business. But we’ve nurtured a start-up culture. And our hunger and drive to succeed keeps growing. Everyone, at all levels and in all departments, brings their A-game, every day. It's a dynamic, change-driven organisation. A place to be self-motivated, to have a can-do attitude, and to push boundaries. Job Description Ivy is hiring a Senior Data Scientist to join our team. As our Senior Data Scientist, you will build high-quality (normally deployed to a production environment) systems that align with our strategic goals and are fully integrated with our products and processes. You will work with stakeholders around the globe to scope our solutions, help them understand, test, and adopt our solutions. You will operate both as an individual contributor as well as a part of a larger delivery team, with a need to task manage more junior DS as needed. You will have a broad technical background to help shape and deliver cutting-edge machine learning solutions across a wide functional landscape, including CRM, Responsible Gambling, churn modelling, customer lifetime value, cross-sell, player protection, as well as clustering and forecasting. What Will You Do You will work with stakeholders around the globe to scope our solutions and help them understand, test, and adopt them. You will operate both as an individual contributor as well as a part of a larger delivery team, with a need to task manage more junior DS as needed. Build models and machine-learning algorithms, taking the opportunity from ideation through to deployment in our live production environment. Analyse large amounts of information to discover trends and patterns, presenting the results in a commercially impactful manner Extract and interpret the business insights and provide recommendations based on those insights. Apply mathematical rigor and a highly refined sense of both "where to look next" and "whatto doo instead" when performing your analyst. is Undertake pre-processing of structured and unstructured data for your analyst. ics Conduct research and development activities, data exploration and discovery, develop prototypes, algori theoremss, and proof of concepts, leveraging leading data science and technology solutions – bring in the best of the wider community to the team. Communicate data collection and statistical methodologies and their results to both technical and nontechnical audiences. You will operate both as an individual contributor as well as a part of a larger delivery team, with a need to task manage more junior DS as needed. Qualifications The candidate MUST have a minimum of 9+ years of experience in the field of AI & data science. Candidates from Tier-1 & Tier-2 colleges or PhD are preferred. Proficient in the application of data science concepts to commercial problems. Strong data science, predictive modelling, Machine Learning, and AI understanding and experience. Experience in working with vast amounts of data to detect trends and patterns. Proficient in translating business needs into technical data science requirements. Analytics mindset skill with the ability to turn a business question/problem into an analytics plan, deciding on what data to use, how to transform it, what methods/models to apply, and how to turn the outcome into usable, actionable output. Strong understanding of A/B testing techniques. Additional Information At Ivy, we know that signing top players requires a great starting package, and plenty of support to inspire peak performance. Join us, and a competitive salary is just the beginning. Depending on your role and location, you can expect to receive benefits like A regular bonus Healthcare support Pick and drop cab facility Great development opportunities Wellbeing support, and so much more. And outside of this, you’ll have the chance to turn recognition from leaders and colleagues into amazing prizes, join a winning team of talented people and be a part of an inclusive and supporting community where everyone is celebrated for being themselves. Should you need any adjustments or accommodations to the recruitment process, at either application or interview, please contact us. At ivy, we do what’s right. It’s one of our core values and that’s why we're taking the lead when it comes to creating a diverse, equitable and inclusive future - for our people, and the wider global sports betting and gaming sector. However you identify, across any protected characteristic, our ambition is to ensure our people across the globe feel valued, respected and their individuality celebrated. We comply with all applicable recruitment regulations and employment laws in the jurisdictions where we operate, ensuring ethical and compliant hiring practices globally. Show more Show less

Company Description Ivy: We’re a global business. But we’ve nurtured a start-up culture. And our hunger and drive to succeed keeps growing. Everyone, at all levels and in all departments, brings their A-game, every day. It's a dynamic, change-driven organisation. A place to be self-motivated, to have a can-do attitude, and to push boundaries. Job Description Ivy is hiring a Senior Data Scientist to join our team. As our Senior Data Scientist, you will build high-quality (normally deployed to a production environment) systems that align with our strategic goals and are fully integrated with our products and processes. You will work with stakeholders around the globe to scope our solutions, help them understand, test, and adopt our solutions. You will operate both as an individual contributor as well as a part of a larger delivery team, with a need to task manage more junior DS as needed. You will have a broad technical background to help shape and deliver cutting-edge machine learning solutions across a wide functional landscape, including CRM, Responsible Gambling, churn modelling, customer lifetime value, cross-sell, player protection, as well as clustering and forecasting. What Will You Do You will work with stakeholders around the globe to scope our solutions and help them understand, test, and adopt them. You will operate both as an individual contributor as well as a part of a larger delivery team, with a need to task manage more junior DS as needed. Build models and machine-learning algorithms, taking the opportunity from ideation through to deployment in our live production environment. Analyse large amounts of information to discover trends and patterns, presenting the results in a commercially impactful manner Extract and interpret the business insights and provide recommendations based on those insights. Apply mathematical rigor and a highly refined sense of both "where to look next" and "whatto doo instead" when performing your analyst. is Undertake pre-processing of structured and unstructured data for your analyst. ics Conduct research and development activities, data exploration and discovery, develop prototypes, algori theoremss, and proof of concepts, leveraging leading data science and technology solutions – bring in the best of the wider community to the team. Communicate data collection and statistical methodologies and their results to both technical and nontechnical audiences. You will operate both as an individual contributor as well as a part of a larger delivery team, with a need to task manage more junior DS as needed. Qualifications The candidate MUST have a minimum of 9+ years of experience in the field of AI & data science. Candidates from Tier-1 & Tier-2 colleges or PhD are preferred. Proficient in the application of data science concepts to commercial problems. Strong data science, predictive modelling, Machine Learning, and AI understanding and experience. Experience in working with vast amounts of data to detect trends and patterns. Proficient in translating business needs into technical data science requirements. Analytics mindset skill with the ability to turn a business question/problem into an analytics plan, deciding on what data to use, how to transform it, what methods/models to apply, and how to turn the outcome into usable, actionable output. Strong understanding of A/B testing techniques. Additional Information At Ivy, we know that signing top players requires a great starting package, and plenty of support to inspire peak performance. Join us, and a competitive salary is just the beginning. Depending on your role and location, you can expect to receive benefits like A regular bonus Healthcare support Pick and drop cab facility Great development opportunities Wellbeing support, and so much more. And outside of this, you’ll have the chance to turn recognition from leaders and colleagues into amazing prizes, join a winning team of talented people and be a part of an inclusive and supporting community where everyone is celebrated for being themselves. Should you need any adjustments or accommodations to the recruitment process, at either application or interview, please contact us. At ivy, we do what’s right. It’s one of our core values and that’s why we're taking the lead when it comes to creating a diverse, equitable and inclusive future - for our people, and the wider global sports betting and gaming sector. However you identify, across any protected characteristic, our ambition is to ensure our people across the globe feel valued, respected and their individuality celebrated. We comply with all applicable recruitment regulations and employment laws in the jurisdictions where we operate, ensuring ethical and compliant hiring practices globally. Show more Show less

Indore, Madhya Pradesh, India Qualification : Deploying various Open-Source Network Security Solutions Integrate relevant components. Performance Optimization and Optimization of Rules set. Event driven process flow and actions – customization of IPC and enrichments. System Engineering for reliability and system performance improvement Research on new approaches and IP creation. Skills Required : IP Networks, Linux Internals, Scripting, LUA, Event Driven Scripting, YARA, SIGMA Role : Rich Experience in working on Network Security Products such as IDS / IPS, Next Generation Firewall, Experience of as product Development / Solution Engineering Experience in working on IP networking, IP networking Protocols, Computer System internals, IPCs. Good understanding and knowledge of TCP/IP networking: Including L2/L3/L4/L7 protocols (SIP, RTP, SMTP, HTTP, POP3, FTP, STP, VLAN, VTP, TCP/IP, BGP, OSPF, GTP, GRE,DHCP, DNS, FTP, HTTP/S and SNMP) Strong Understanding of PCAP, DPI (Deep Packet Inspection) Deployment and performance optimization of– Suricata / SNORT/ Zeek. Creating and adopting Rules for IDS/IPS, Experience in working large networks ~ 10G/100G/400G. Network Clustering, Parallel processing, Virtual Appliances, Working on Linux, Cloud Environment, Network Processing Cards (NICs), Parallel processing, Off-loading, Accelerations Qualifications Postgraduate in Com Sc. Engineering with specialization in IP Networking Programming Skills in C/C++, Python Operating Systems: Linux Experience: 4-6 years. Experience : 4 to 6 years Job Reference Number : 11592

Technical Support Engineering Bangalore, Karnataka, India Date posted Jun 09, 2025 Job number 1829337 Work site Up to 50% work from home Travel 0-25 % Role type Individual Contributor Profession Technical Support Discipline Technical Support Engineering Employment type Full-Time Overview With more than 45,000 employees and partners worldwide, the Customer Experience and Success (CE&S) organization is on a mission to empower customers to accelerate business value through differentiated customer experiences that leverage Microsoft’s products and services, ignited by our people and culture. We drive cross-company alignment and execution, ensuring that we consistently exceed customers’ expectations in every interaction, whether in-product, digital, or human-centered. CE&S is responsible for all up services across the company, including consulting, customer success, and support across Microsoft’s portfolio of solutions and products. Join CE&S and help us accelerate AI transformation for our customers and the world. Within CE&S, the Customer Service & Support (CSS) organization builds trust and confidence for every person and organization through delivering a seamless support experience. In CSS, we are powered by Microsoft’s AI technology to help consumers, businesses, partners, and more, resolve their issues quickly and securely, helping prevent future problems from occurring and achieving more from their Microsoft investment. In the Customer Service & Support (CSS) team we are looking for people with a passion for delivering customer success. As a Senior Technical Support Engineer, you will own, troubleshoot and solve complex customer technical issues. This opportunity will allow you to accelerate your career growth, hone your problem-solving, collaboration and research skills, and deepen your technical proficiency. This role is flexible in that you can work up to 50% from home. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Qualifications Required Qualifications: Bachelor's degree in Computer Science, Information Technology (IT), or related field AND 3+ years of technical support, technical consulting experience, or information technology experience o OR 5+ years of technical support, technical consulting experience, or information technology experience. o OR equivalent experience Language Qualification English Language: fluent in reading, writing and speaking. Preferred Qualifications: Windows System Administration, Configuration, including a good basic understanding of: Registry File Storage User Accounts and Access Control Event Logs and Auditing Performance, Resource Monitor Networking (TCP, IP) Experience in one or more of these areas desirable Automated installation of Windows User Profile management Windows Update management Kerberos and delegation Bitlocker administration Windows Shell configuration and management Windows Activation, Licensing Remote Desktop Services configuration and management Clustering Printing configuration and management Resilient Storage technology (clustering, storage spaces) Server management tools Hyper-V management and VM deployment Application installation and management Windows backup and VSS PowerShell scripting Active Directory topology and management Network Tracing and analysis Public Key Infrastructure (PKI) deployment, management Remote File Systems (SMB) Group Policy management DNS deployment, management Troubleshooting hangs and crashes in Windows Network Virtualisation (Hyper-V, SDN) Troubleshooting performance issues using PerfMon and other tools Strong experience in below technologies Memory Management, Windows Registry, Blue Screen Windows Shell configuration and management Server hang and crash, Server No Boot and Reboot Scenarios Troubleshooting server performance issues using PerfMon and other tools Ability to meet Microsoft, customer and / or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire / transfer and every two years thereafter. Responsibilities Response and Resolution: You own, investigate, and solve complex customer technical issues and act as an advisor to the customer, collaborating within and across teams and leveraging troubleshooting tools and practices. Readiness: You lead in building communities with peer delivery roles and share your knowledge through readiness programs, technical coaching and mentoring of others. You deepen your technical and professional proficiency to enable you to resolve complex customer issues, through training and readiness. Product/Process Improvement: You engage with Microsoft Engineering/ Supportability teams to investigate potential product defects and help develop automation techniques and diagnostic tools driving Microsoft product improvements. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.  Industry leading healthcare  Educational resources  Discounts on products and services  Savings and investments  Maternity and paternity leave  Generous time away  Giving programs  Opportunities to network and connect Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Technical Support Engineering- HCI Bangalore, Karnataka, India Date posted Jun 09, 2025 Job number 1821122 Work site Up to 50% work from home Travel 0-25 % Role type Individual Contributor Profession Technical Support Discipline Technical Support Engineering Employment type Full-Time Overview With over 17,000 employees worldwide, the mission of the Customer Experience & Success (CE&S) organization is to empower customers to accelerate business value through differentiated customer experiences that leverage Microsoft’s products and services, ignited by our people and culture. Come join CE&S and help us build a future where customers achieve their business outcomes faster with technology that does more. Within CE&S, the Customer Service & Support (CSS) organization builds trust and confidence for every person and organization through delivering a seamless support experience. In CSS, we are powered by Microsoft’s AI technology to help consumers, businesses, partners, and more, resolve their issues quickly and securely, helping prevent future problems from occurring and achieving more from their Microsoft investment. In the Customer Service & Support (CSS) team we are looking for people with a passion for delivering customer success. As a Technical Support Engineer, you will own, troubleshoot and solve customer technical issues. This opportunity will allow you to accelerate your career growth, hone your problem-solving, collaboration and research skills, and develop your technical proficiency. This role is flexible in that you can work up to 50% from home. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Qualifications 5+ years technical support, technical consulting experience, or information technology experience OR Bachelor's Degree in Computer Science, Information Technology (IT), or related field AND 3+ years technical support, technical consulting experience, or information technology experience Windows System Administration, Configuration, including a good basic understanding of: Registry File Storage User Accounts and Access Control Event Logs and Auditing Performance, Resource Monitor Networking (TCP, IP) Experience in one or more of these areas desirable Failover Clustering Resilient Storage technology (clustering, storage spaces) Server management tools Hyper-V management and VM deployment Network Tracing and analysis Network Virtualisation (Hyper-V, SDN) Troubleshooting performance issues using PerfMon and other tools Azure fundamentals with experience in resource deployment using ARM templates, bicep. etc Ability to meet Microsoft, customer and / or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire / transfer and every two years thereafter. Responsibilities Response and Resolution: You own, investigate and solve customer technical issues, collaborating within and across teams and leveraging troubleshooting tools and practices. Readiness: You lead or participate in building communities with peer delivery roles and, where appropriate, share your knowledge. You develop specific technical and professional proficiency to enable you to resolve customer issues, through training and readiness. Product/Process Improvement: You identify potential product defects and escalate appropriately to resolve, contributing to Microsoft product improvements. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.  Industry leading healthcare  Educational resources  Discounts on products and services  Savings and investments  Maternity and paternity leave  Generous time away  Giving programs  Opportunities to network and connect Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : SAP MM Materials Management Good to have skills : NA Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for managing the team and ensuring successful project delivery. Your typical day will involve collaborating with multiple teams, making key decisions, and providing solutions to problems for your immediate team and across multiple teams. Roles & Responsibilities: - Expected to be an SME - Collaborate and manage the team to perform - Responsible for team decisions - Engage with multiple teams and contribute on key decisions - Provide solutions to problems for their immediate team and across multiple teams - Lead the effort to design, build, and configure applications - Act as the primary point of contact for the project - Manage the team and ensure successful project delivery - Collaborate with multiple teams to make key decisions - Provide solutions to problems for the immediate team and across multiple teams Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP MM Materials Management - Strong understanding of statistical analysis and machine learning algorithms - Experience with data visualization tools such as Tableau or Power BI - Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms - Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information: - The candidate should have a minimum of 5 years of experience in SAP MM Materials Management - This position is based at our Hyderabad office - A 15 years full-time education is required 15 years full time education Show more Show less

Job Description Job Title: MS SQL Server DBA Job Summary – highlight project details/what is exciting about the role : Strong experience as a MS SQL Server DBA. Overall, 8-12 years of Experience as MS SQL Server DBA In-depth knowledge of SQL Server database Architecture, including database design, installation, configuration, and maintenance. Proficiency in writing SQL queries, PowerShell scripts, automating reports. Experience with database performance tuning and optimization techniques. Familiarity with high availability and disaster recovery solutions, such as database Always On mirroring, log shipping, and clustering. Knowledge of database security best practices and the ability to implement and enforce security measures. Strong problem-solving and troubleshooting skills. Excellent communication and collaboration skills. Strong knowledge in AWS Environment. Hands On with SQL RDS databases, DB refresh in RDS, knowledge of S3 bucket, IAM roles, SNS alarms, Snapshot and Recovery. Key Responsibilities – list what the person will be doing on a day to day basis: % of time Installation, Administration and Maintenance of SQL Server Instances. Implement and maintain database backup and recovery strategies to minimize data loss and downtime. Perform regular database maintenance tasks, such as index rebuilding, query optimization, and database tuning. Proactively identify and resolve database performance issues and bottlenecks. Monitor and analyze database performance metrics and provide recommendations for improvement. Plan and execute database migration and upgrade projects from ON Prem to EC2 or RDS. Troubleshoot and resolve database-related problems in a timely manner. Document database configurations, procedures, and troubleshooting steps. Setup High-Availability techniques like Always ON, Mirroring as part of Disaster Recovery Strategy for the Databases, troubleshooting issues. Utilize your extensive experience to design, implement, and maintain high-performance SQL Server databases, ensuring optimal performance, availability, and reliability. Perform in-depth performance tuning and optimization, identifying and resolving performance bottlenecks, slow queries, and other related issues. Analyze wait events and proactively address performance challenges to ensure smooth and efficient database operations. Oversee and manage database replication strategies, including setup, configuration, monitoring, and troubleshooting of replication in Standalone and Always ON. Implement and manage Change Data Capture (CDC) processes to enable real-time data integration and synchronization across databases. Monitor database health using various tools, set up alerting mechanisms, and respond to incidents in a timely manner to minimize downtime and data loss. Database upgrades, migrations, and patching while minimizing risks and downtime on both Standalone and Aways ON. Document database configurations, processes, and best practices, contributing to the creation and maintenance of internal knowledge resources. Stay up-to-date with the latest industry trends, emerging technologies, and best practices in SQL Server database administration. Provide 24x7 support for critical production systems. Job Requirements As per the 2006 Age Discrimination Act please do not specify number of years experience. Use words like Extensive, Strong, Good, Fair Essential Skills SQL Server Adminstration and AWS cloud Nice to Have Skills. Oracle / PostgreSQL Qualifications A bachelor's degree in computer science or a related discipline Extensive knowledge of SQL and SQL server tools Handson in AWS cloud Database cloud migration expertise Experience in Database Performance, Development and Maintenance In-depth understanding of database security, backup and recovery, and performance monitoring requirements Familiarity with relational and dimensional data modelling Extensive knowledge in database design, implementation, and conversion Knowledge of PowerShell and Unix shell scripting Outstanding writing and verbal communication abilities Working knowledge of Linux /Windows Server infrastructures Travel required YES NO Show more Show less

Our Company Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! Position Summary A data scientist cum data engineer with 5+ years of experience with a deep understanding of data analysis, Big Data & Cloud technologies, AI & machine learning, GenAI and NLP techniques. You will be responsible for developing & building low level design as per approved Tech specs, extracting valuable insights from large datasets, building advanced AIML models and driving data-driven decision-making within the organization or for the enterprise customers. This role involves a combination of data analysis, model development, and strategic thinking to solve complex business problems. You will interact with key stakeholders and apply your technical proficiency in AIML, Python, R and algorithms. You will work across different stages of the development project using data science & technologies to provide solutions and interface directly with enterprise customers for the Adobe Experience Platform. What You’ll Do Interface with Adobe customers to gather requirements, map solutions & make recommendations. Document projects with clear business objectives, provides data gathering & data preparation, final algorithm, detailed set of results Experience in Natural Language Processing, GenAI and Image processing Support the execution of Data Science solutions to business problems Innovate on new ideas to solve customer needs & assist to create GTM strategies for new solutions Experience in AIML modeling like propensity models, clusterings, regression, etc. Developing ETL pipelines involving big data. Developing data processing\analytics applications primarily using PySpark. Experience of developing applications on cloud(AWS/Azure/GCP) mostly using services related to storage, compute, ETL, DWH, Analytics and streaming. Clear understanding and ability to implement distributed storage, processing and scalable applications. Experience in working with SQL and NoSQL database. Ability to write and analyze SQL, HQL and other query languages for NoSQL databases. Proficiency in writing disitributed & scalable data processing code using PySpark, Python and related libraries. Experience in developing applications that consume the services exposed as ReST APIs. Understand and clean datasets, interpret outputs and make them comprehensible to understand for other teams. Strong collaboration with consultants onshore & offshore Create reusable statistical models & modify existing algorithms Report on customer trends and deployment performance and identify areas that we can use target using ML/Data science solutions. Requirements 2+ years of experience & knowledge with Web Analytics or Digital Marketing. 5+ years of experience in AIML role, with a focus on building data pipelines for conducting data intensive analysis 5+ years of experience with Machine Learning and alogrithims for classification, clustering, prediction, recommendations and NLP 5+ years of experience with common Data Science Toolkits (i.e. R, Jupyter Notebooks, PySpark etc.) 5+ years of enterprise development using Python Strong understanding of GenAI and LLM Ability to enhance Standard Algorithms is required Knowledge & experience using Amazon Sagemaker, Microsoft Azure ML or Google AI technologies 5+ years of complex SQL experience 5+ years of Data Modeling experience Demonstrate exceptional organizational skills and ability to multi-task simultaneous different customer projects Strong verbal & written communication skills to lead customers to a successful outcome and explain complex technical concepts to non-technical stakeholders. Excellent problem-solving and critical-thinking skills. Experience with big data technologies and cloud platforms (e.g., AWS, Azure, Google Cloud) Must be self-managed, proactive and customer focused Degree in Computer Science, Information Systems or related field Should be able to work in teams Special Consideration given for Experience & knowledge with Adobe Experience Cloud solutions Experience & knowledge with Web Analytics or Digital Marketing Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015. Show more Show less

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation. Years of Experience: Candidates with 15+ years of hands on experience Must Have Familiarity with the CCaaS domain, contact center operations, customer experience metrics, and industry-specific challenges Understanding of conversational (chats, emails and calls) data to train Conversational AI systems In-depth knowledge of CCaaS platforms like NiceCX, Genesys, Cisco etc., including their architecture, functionalities, and integration capabilities Familiarity with contact center metrics, such as average handle time (AHT), first call resolution (FCR), and customer satisfaction (CSAT) Familiarity with sentiment analysis, topic modeling, and text classification techniques Proficiency in data visualization tools like Tableau, Power BI, Quicksight and others Understanding of cloud platforms (e.g., AWS, Azure, Google Cloud) and their services for scalable data storage, processing, and analytics NLU Verticals Expertise: ASR generation, SSML modeling, Intent Analytics, conversational AI testing, Agent Assist, Proactive Outreach Orchestration, and Generative AI Apply advanced statistical and machine learning techniques to analyze large datasets and develop predictive models and algorithms, enhancing contact center performance. Nice To Have Proficiency in programming languages such as Python/Pyspark/R/SQL Strong understanding of data science principles, statistical analysis, and machine learning techniques. Experience in predictive modeling Skilled in techniques like regression analysis, time series forecasting, clustering and NLP techniques Knowledge of distributed computing frameworks like Hadoop and Spark for processing large volumes of data. Understanding of NoSQL databases (e.g., MongoDB, Cassandra) for handling unstructured and semi-structured data. Awareness of data security best practices, encryption techniques, and compliance regulations (e.g., GDPR, CCPA). Understanding of ethical considerations in data science and responsible AI practices. Educational Background BE / B.Tech / MCA / M.Sc / M.E / M.Tech / MBA Show more Show less

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation. Years of Experience: Candidates with 15+ years of hands on experience Must Have Familiarity with the CCaaS domain, contact center operations, customer experience metrics, and industry-specific challenges Understanding of conversational (chats, emails and calls) data to train Conversational AI systems In-depth knowledge of CCaaS platforms like NiceCX, Genesys, Cisco etc., including their architecture, functionalities, and integration capabilities Familiarity with contact center metrics, such as average handle time (AHT), first call resolution (FCR), and customer satisfaction (CSAT) Familiarity with sentiment analysis, topic modeling, and text classification techniques Proficiency in data visualization tools like Tableau, Power BI, Quicksight and others Understanding of cloud platforms (e.g., AWS, Azure, Google Cloud) and their services for scalable data storage, processing, and analytics NLU Verticals Expertise: ASR generation, SSML modeling, Intent Analytics, conversational AI testing, Agent Assist, Proactive Outreach Orchestration, and Generative AI Apply advanced statistical and machine learning techniques to analyze large datasets and develop predictive models and algorithms, enhancing contact center performance. Nice To Have Proficiency in programming languages such as Python/Pyspark/R/SQL Strong understanding of data science principles, statistical analysis, and machine learning techniques. Experience in predictive modeling Skilled in techniques like regression analysis, time series forecasting, clustering and NLP techniques Knowledge of distributed computing frameworks like Hadoop and Spark for processing large volumes of data. Understanding of NoSQL databases (e.g., MongoDB, Cassandra) for handling unstructured and semi-structured data. Awareness of data security best practices, encryption techniques, and compliance regulations (e.g., GDPR, CCPA). Understanding of ethical considerations in data science and responsible AI practices. Educational Background BE / B.Tech / MCA / M.Sc / M.E / M.Tech / MBA 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 and qualifications: Experience 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. India - Haryana - Gurgaon Technology Full-Time Regular 06/07/2025 ID # R-95599

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager Job Description & Summary A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Creating business intelligence from data requires an understanding of the business, the data, and the technology used to store and analyse that data. Using our Rapid Business Intelligence Solutions, data visualisation and integrated reporting dashboards, we can deliver agile, highly interactive reporting and analytics that help our clients to more effectively run their business and understand what business questions can be answered and how to unlock the answers. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Job Description & Summary : Manager Advanced Analytics & ML – Financial Services Responsibilities This is for an opening at the Manager level in the Data and Analytics division at PwC India. The role will be centered around Financial services domain. A successful candidate is expected to work pro-actively and effectively on multiple client engagements and take ownership of the entire project delivery. This includes having project management skills, technical and/or functional expertise, and commitment to comply with the PwC delivery quality expectation. Further, this role requires a candidate with strong interpersonal skills, who not only enjoys the challenge of working with other teams but externally with a variety of clients as well. Strong personal and professional presence and self-confidence, capable of working effectively with senior team as well as all other levels. The candidate will be required to showcase excellent communication skills and will have demonstrated consistently the skill and capability in delivering impactful and insightful projects in the past. He/she will also be required to participate in client meetings, understand the business needs and then design end to end machine learning and analytics solutions to fulfill those business needs. They will also be expected to contribute to practice or Firm development. This may be adjudged in various ways such as serving as a mentor to other team members, by leading training/development initiatives, contributing to thought leadership papers, and developing reusable assets. Detailed role and responsibilities are provided below: Roles and Responsibilities: Develop, Review and implement Solutions applying advanced analytics techniques including but not restricted to Machine Learning, Deep Learning, AI, NLP and Visualization Troubleshoot, isolate and remediate model errors. Work on and manage large to mid-size projects, and ensure smooth service delivery on assigned products, engagements and/or geographies. Work with project leaders to analyse resource needs and gaps and devise alternative ways forward. Provide expert reviews for all projects within the assigned subject Ability to lead business development initiatives including responding to RFPs, preparation and delivery of client presentations with the objective of sales and business development. Ability to manage cross functional teams and mentor junior team members Understanding of statistical methods to enable appropriate interpretation of results Experience analyzing programs through the lens of client requirements and design optimal solutions for fulfilling those requirements. Conceptual thinking and ability to find innovative ways to solve analytical problems Should have worked on multiple analytics consulting and implementation projects Skills & Qualifications Required: Minimum 8-10 years of experience in advanced analytics and machine learning space with at least 4-6 years of experience in financial services. Advanced understanding and hands-on experience in SQL and at least one of R or Python. Basic exposure to other statistical packages such as R, Python and SAS. Deep understanding of predictive algorithms such as logistic regression, linear regression, decision trees, random forest, xgboost, SVM etc. and clustering algorithms such as k-means, k nearest neighbour, hierarchical etc. Hands on experience in NLP and deep understanding of text analytics algorithms and modelling workflow Good knowledge of neural networks, deep learning, RNN, CNN, LSTM etc, Working knowledge of big data environment setups such as Spark, PySpark, Hive, Hadoop etc. Advanced understanding of Cloud (AWS, Azure, etc.) and good exposure to Azure/AWS machine learning workbench and MLOps workflow. Excellent verbal and written communication skills. Experienced in creating power point presentations, dashboards, solving complicated client problems and communicating the precise insights. Strong organizational skills & the ability to prioritize and work on projects with great efficiency & attention to the details. Minimum qualification – B.E; MBA is preferred (with at least 5 years of exp. post MBA) Mandatory Skill Sets Advanced Analytics & ML Preferred Skill Sets Advanced Analytics & ML Years Of Experience Required 9+ Education Qualification BTech/MBA/MCA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering, Master of Business Administration Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills Advanced Analytics Optional Skills Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date Show more Show less

Who We Are Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet related spend in a single system. Combined with industry leading AI, the Motive platform gives you complete visibility and control, and significantly reduces manual workloads by automating and simplifying tasks. Motive serves more than 120,000 customers – from Fortune 500 enterprises to small businesses – across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector. Visit gomotive.com to learn more. At Motive, our People Analytics team sits at the intersection of data science and talent strategy, transforming how we understand and enhance organizational performance. As a Data Scientist on our rapidly growing team, you'll leverage advanced analytics to tackle our most pressing talent challenges and drive measurable business impact. Role Description You'll pioneer the application of data science to human capital, building sophisticated models and research that decode organizational behavior and shape Motive's talent strategy. Your work will span critical areas including: Predicting and enhancing talent acquisition, development, and retention Quantifying and elevating employee experience Optimizing team performance Maximizing productivity Rethinking how we measure talent Human capital problems require particular attention to sample size impacts, covariance, selection bias, modeling choices, and other issues that can be the difference between highly meaningful & impactful results, and noise. In this role, you will leverage structured problem solving approaches and data science skills to identify and deliver high impact solutions, as well as develop unique data science skills and human-capital expertise. The Ideal Candidate Is Passionate about human capital: You are excited by the value we can add to our company and our employees, and are inspired to help make a large positive impact Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Statistically-minded. You’ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with network analysis, clustering, classification, time series, and sentiment analysis. Required Qualifications Bachelor's degree in Data Science, Statistics, Economics, or related quantitative field Background in organizational psychology or behavioral economics 3+ years of experience applying advanced analytics in people analytics, HR, or workforce planning Expert proficiency in Python or R, and SQL Proven track record of building and deploying machine learning models Experience with statistical analysis, experimental design, and causal inference Strong project management skills with demonstrated ability to lead complex analytical initiatives Excellent communication skills - ability to translate complex analyses into actionable insights for diverse stakeholders Preferred Qualifications Master’s or PhD in a quantitative field or equivalent practical experience Experience with Organizational Network Analysis Experience in visualization tools (e.g., Tableau, PowerBI) Experience with natural language processing and unstructured data analysis Track record of publishing or presenting analytical work Familiarity with HR systems and people data structures Creating a diverse and inclusive workplace is one of Motive's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives. Please review our Candidate Privacy Notice here . UK Candidate Privacy Notice here. The applicant must be authorized to receive and access those commodities and technologies controlled under U.S. Export Administration Regulations. It is Motive's policy to require that employees be authorized to receive access to Motive products and technology. Show more Show less

Job Title: Data Scientist Location: Remote Job Type: Full-Time | Permanent Experience Required: 4+ Years About the Role: We are looking for a highly motivated and analytical Data Scientist with 4 years of industry experience to join our data team. The ideal candidate will have a strong background in Python , SQL , and experience deploying machine learning models using AWS SageMaker . You will be responsible for solving complex business problems with data-driven solutions, developing models, and helping scale machine learning systems into production environments. Key Responsibilities: Model Development: Design, develop, and validate machine learning models for classification, regression, and clustering tasks. Work with structured and unstructured data to extract actionable insights and drive business outcomes. Deployment & MLOps: Deploy machine learning models using AWS SageMaker , including model training, tuning, hosting, and monitoring. Build reusable pipelines for model deployment, automation, and performance tracking. Data Exploration & Feature Engineering: Perform data wrangling, preprocessing, and feature engineering using Python and SQL . Conduct EDA (exploratory data analysis) to identify patterns and anomalies. Collaboration: Work closely with data engineers, product managers, and business stakeholders to define data problems and deliver scalable solutions. Present model results and insights to both technical and non-technical audiences. Continuous Improvement: Stay updated on the latest advancements in machine learning, AI, and cloud technologies. Suggest and implement best practices for experimentation, model governance, and documentation. Required Skills & Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or related field. 4+ years of hands-on experience in data science, machine learning, or applied AI roles. Proficiency in Python for data analysis, model development, and scripting. Strong SQL skills for querying and manipulating large datasets. Hands-on experience with AWS SageMaker , including model training, deployment, and monitoring. Solid understanding of machine learning algorithms and techniques (supervised/unsupervised). Familiarity with libraries such as Pandas, NumPy, Scikit-learn, Matplotlib, and Seaborn. Show more Show less

The D. E. Shaw group is a global investment and technology development firm with more than $60 billion in investment capital as of December 1, 2022, and offices in North America, Europe, and Asia. Since our founding in 1988, our firm has earned an international reputation for successful investing based on innovation, careful risk management, and the quality and depth of our staff. We have a significant presence in the world’s capital markets, investing in a wide range of companies and financial instruments in both developed and developing economies. We are looking for a Systems Engineer proficient in Windows Technologies to join our Site Reliability Engineering Team in Hyderabad/Bengaluru/Gurugram. This is a hands-on technical role within a cross-functional team responsible for contributing to infrastructure engineering projects and maintaining and improving the firm's technology platforms. This role offers the opportunity to be part of an inclusive, collaborative, and engaging team and organization. WHAT YOU'LL DO DAY-TO-DAY: The Windows Engineer will work on designing, implementing, and managing the firm’s Windows Infrastructure in collaboration with other IT Infrastructure teams. The Windows engineer will be involved in engineering project work and tier 2/3 operational support to increase the overall supportability and reliability of the firm’s enterprise technology environment. Additional responsibilities will include upgrading and/or re-designing existing infrastructure for improved performance and stability. WHO WE’RE LOOKING FOR: The candidate should have a Bachelor’s/Master’s degree in in Computer Science & Engineering or other technical disciplines, and 5+ years of work experience in the Windows domain is a must The ideal candidate should have a good understanding of Windows fundamentals and extensive experience with one or more of the following technologies – Active Directory, SCCM, SCOM, Hyper-V, VMware, Failover Clustering, Exchange, SQL Server, etc. Candidate should have good proficiency in PowerShell and experience with modern configuration management and development tools (e.g. git, continuous integration systems) is required. Experience with .NET development and/or Python is also a plus Candidate should have experience in Handling L2/L3 escalations from Helpdesk/NOC and proactively identifying and fixing issues in production environment Candidates should have previous experience with the design and end-to-end implementation of performant, reliable and secure systems, and troubleshooting capabilities and experience with diagnostic/tracing tools. We work in a highly collaborative environment and experience on Linux or Storage systems would be desirable The ideal candidate should also have willingness to learn and be a self-starter. Prior experience of technical leadership or managing small teams would be good to have Interested candidates can apply through our website: https://www.deshawindia.com/recruit/jobs/Ads/Linkedin/ProjLdSiteRelEngWindFeb24 We encourage candidates with relevant experience looking to restart their careers after a break to apply for this position. Learn about Recommence, our gender-neutral return-to-work initiative. The Firm offers excellent benefits, a casual, collegial working environment, and an attractive compensation package. For further information about our recruitment process, including how applicant data will be processed, please visit https://www.deshawindia.com/careers Members of the D. E. Shaw group do not discriminate in employment matters on the basis of sex, race, colour, caste, creed, religion, pregnancy, national origin, age, military service eligibility, veteran status, sexual orientation, marital status, disability, or any other protected class. Show more Show less

Senior Software Engineer We’re building the next-generation AI storage system, catering the needs for massive scale AI factories to meet unique demands of modern GenAI era. The modernization will deliver unparalleled performance, immense value and exceptional experiences for our Customers by modernizing and scaling the stack through development of several advanced technologies spanning storage management, memory management, clustering, Filesystems, distributed systems and performance for our next-gen software-defined storage platform. Most importantly, we’re modernizing with AI to accelerate our execution to streamline and standardize processes and reimagining work and customer experiences. Join us to do the best work of your career and make a profound social impact as a Senior Software Engineer on our Software Engineering Team in Bangalore . What You’ll Achieve As a Senior Software Engineer, you will be part of the Storage team to innovate and deliver Storage and data management support. You will collaborate and work closely with our Global engineering talents and will have significant opportunities to innovate and modernize the next-gen storage platform. You will: Design and develop various storage features for next-gen AI storage platform Participate in design collaboration, code reviews, exercising development tools and processes Take part in the full software development life cycle including development, testing, continuous delivery, and support Be an active member of an agile team Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role: Essential Requirements Proficiency and hands-on coding experience in C/C++ Experience in Linux user-space development, multithreading, IPC, networking, and RAID/storage solutions Solid understanding of concurrency and synchronization. Practical expertise in troubleshooting and debugging of complex systems Extensive knowledge of Object-oriented design, data structures and algorithms. Hands-on experience with Python and Bash scripting, CI/CD, automation Agile-based development experience. Strong interpersonal and verbal communication skills Desirable Requirements 5+ years of related experience. Bachelor’s or Master's degree in computer science or related field Knowledge in distributed systems architecture and memory management Who We Are We believe that each of us has the power to make an impact. That’s why we put our team members at the center of everything we do. If you’re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we’re looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Application closing date: 10th April 2025 Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here. "#NJP" Job ID: R263263 Show more Show less

Immediate Joiner!!! Job Summary We are seeking a skilled Windows System Administrator to join our IT team. The ideal candidate will be responsible for managing, configuring, and maintaining Windows-based systems, servers, and cloud environments to ensure stability, security, and performance. This role involves administering on-premises infrastructure (Windows Server, Active Directory, Exchange) and cloud platforms (Microsoft Azure, Microsoft 365), implementing security measures like MFA/2FA, and supporting virtualization technologies (VMware, Hyper-V). The candidate will collaborate with cross-functional teams to deliver robust IT solutions that align with organizational goals. Key Responsibilities System Administration : Install, configure, and maintain Windows Server environments (2016/2019/2022), including Active Directory Domain Services (AD DS), DNS, DHCP, and Group Policy. Manage Microsoft Exchange Server (on-premises/hybrid) or Exchange Online for email and collaboration services. Monitor system performance, troubleshoot issues, and ensure high availability using tools like Windows Admin Center and PowerShell. Cloud Management : Administer Microsoft Azure environments, including virtual machines, networking, storage, and Azure Active Directory (Entra ID). Implement and manage Microsoft 365 services, including user management, licensing, and security configurations. Deploy and maintain hybrid cloud solutions using Azure Arc and Azure AD Connect for seamless identity synchronization. Virtualization : Manage VMware vSphere environments, including ESXi hosts, vCenter, and virtual machine deployments. Configure and maintain Hyper-V virtual machines, ensuring optimal performance and resource allocation. Security & Compliance : Implement and manage Multi-Factor Authentication (MFA) and Two-Factor Authentication (2FA) across on-premises and cloud platforms. Enforce security policies, patch management, and compliance using Microsoft Defender for Cloud and Azure Policy. Perform regular security audits and respond to incidents to mitigate risks. Automation & Scripting : Develop and maintain PowerShell scripts to automate routine tasks, such as user provisioning, system monitoring, and backup processes. Utilize automation tools to streamline infrastructure management and improve operational efficiency. Documentation & Collaboration : Create and maintain detailed system documentation, including configurations, troubleshooting guides, and disaster recovery plans. Collaborate with network engineers, security administrators, and Microsoft 365 administrators to support enterprise-wide initiatives. Support & Troubleshooting : Provide Tier 2/3 support for Windows-based systems, resolving complex technical issues related to servers, desktops, and network devices. Ensure minimal downtime by implementing high-availability solutions like Windows Failover Clustering. Qualifications Education : Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent work experience). Experience : Minimum of 5-7 years of experience managing Windows Server environments and related technologies. Proven expertise in Microsoft Exchange, VMware vSphere, and Hyper-V virtualization. Hands-on experience with Microsoft Azure and Microsoft 365 administration. Familiarity with hybrid infrastructure and cloud integration (e.g., Azure AD Connect, Azure Arc). Certifications (Preferred): Microsoft Certified: Azure Administrator Associate (AZ-104). Microsoft 365 Certified: Enterprise Administrator Expert or Endpoint Administrator Associate. VMware Certified Professional – Data Center Virtualization (VCP-DCV). Legacy certifications like MCSE: Core Infrastructure or MCP are a plus. Technical Skills : Deep expertise in Active Directory, DNS, DHCP, and Group Policy management. Proficiency in PowerShell scripting and automation. Strong understanding of networking protocols (TCP/IP, VPNs, firewalls) and security best practices. Experience with backup solutions, disaster recovery planning, and system monitoring tools (e.g., SCCM, SCOM). Soft Skills : Excellent problem-solving skills and attention to detail. Strong communication skills to collaborate with technical and non-technical stakeholders. Ability to work independently and as part of a team in a fast-paced environment. Preferred Qualifications Experience with advanced Active Directory features, such as FSMO roles or AD Federation Services (AD FS). Knowledge of Microsoft Intune for endpoint management. Familiarity with other cloud platforms (e.g., AWS) or configuration management tools (e.g., Ansible). Experience leading infrastructure projects or mentoring junior administrators. Show more Show less

CSE is looking for a Senior Research Associate to work towards enabling climate resilience and resource efficiency in the built environment. Focus of the work will be on urban analytics with thematic dissect of environmental issues such as urban heat island effect, resource efficiency, C&D waste and dust management among others. CSEs Sustainable Habitat Programme is working towards mainstreaming climate resilience and decarbonization in urban planning and practices. With a focus on urban heat mitigation, the aim of this work is to safeguard cities and also reduce their carbon footprint through promotion of optimal urban form and clustering, improving wind flow with better layouts, optimizing green and blue spaces, increasing shading, choice of better materials, passive design, low-carbon cooling systems, and reducing and repurposing waste heat as part of advanced solutions. Under the circular economy initiative, the programme works on scientific management of C&D waste and reducing the fugitive dust load and carbon emissions from the construction sector. These strategies now need to be integrated with urban planning and design as part of climate proofing. Other than research, the work profile includes advocacy, outreach and capacity building of the relevant public institutions and the larger built environment community to influence mandates and practice. This will require contributing to the programmes written papers and reports, designing training modules, and handholding and liaison with individuals and organisations. Skills pertaining to remote sensing and geo-spatial mapping will have an advantage. The selected candidate will be a part of Sustainable Habitat, which aims at reducing the resource footprint of and improving the quality and liveability of our urban habitat. Competencies Essential Skills to analyze/interpret data related to a citys physical form, socio-spatial characteristics, land use planning, zoning and building codes, etc. Skills to conduct thematic analyses such as urban heat island effect, energy efficiency, C&D waste ecosystem and value trade chain mapping, etc. Proficiency with spatial mapping tools such as GIS. Desirable Familiarity with low-carbon urban planning and other passive techniques such as water sensitive urban design and planning. Sound understanding/ research experience on city cooling strategies and urban heat island effect and its mitigation. Familiarity with city heat action plans, cool roof programmes among other cooling efforts in India. Broad understanding of C&D waste and dust management processes in Indian cities. Qualification and Experience A Masters degree in Urban Planning/Environment Planning/Engineering. Up to 2 years of experience in non-profit/academia/consulting sector in the field of urban planning, environmental sustainability and/or energy efficiency. Given details above are flexible if the candidate is able to demonstrate a deep interest and capability in working on the issues of sustainability in buildings and habitat. Essential Soft Skills Fluency in written and spoken English Ability to perform under pressure Ready and willing to travel as and when required Good interpersonal skills Ability to be self-organized about their work Discipline to work independently with little or remote supervision CSE pays a competitive salary that will be commensurate with qualification and experience. Location: New Delhi Application Deadline: Jun. 21st, 2025. How To Apply Candidates can apply online (preferable) or through post. For online submission: Please visit http://jobs.cseindia.org and choose SRA SBHP. Or Post It To Ms. Jagdeep Gupta Executive Director- Planning & Operations Centre for Science and Environment 41, Tughlakabad Institutional Area, New Delhi 110062 Tel: 29956394/6339/5124, Fax: 29955879 PS: Only short-listed candidates will be contacted for an interview and written test. Show more Show less

Job Title: Site Reliability Engineer (DBRE) Job Type: Full-time Level: IC3 About the Role At Freshworks, uptime is sacred. As a Lead Site Reliability Engineer (SRE), you'll be the engineer behind the curtain—designing for resilience, automating recovery, and ensuring our systems stay fast, stable, and observable at scale. You’ll partner closely with engineering, platform, and product teams to shift reliability left and set the standard for performance and availability. If you live for clean telemetry, root cause resolution, and engineering chaos into confidence, this is your playground. Job Description Key Responsibilities Design and implement tools to improve availability, latency, scalability, and system health. Define SLIs/SLOs, manage error budgets, and drive performance engineering efforts. Build and maintain automated monitoring, alerting, and remediation pipelines. Collaborate with engineering teams to improve reliability by design. Lead incident response, root cause analysis, and blameless postmortems. Champion observability across services—logs, metrics, traces. Contribute to infrastructure architecture, automation, and reliability roadmaps. Advocate for SRE best practices across teams and functions. Requirements 7–12 years of experience in SRE, DevOps, or Production Engineering roles. Coding Proficiency : Develop clear, efficient, and well-structured code. Linux Expertise : In-depth knowledge of Linux for system administration and advanced troubleshooting. Containerization & Orchestration : Practical experience with Docker and Kubernetes for application deployment and management. CI/CD Management : Design, implement, and maintain Continuous Integration and Continuous Delivery pipelines. Security & Compliance : Understand security best practices and compliance in infrastructure. High Availability & Scalability : Design and implement highly available, scalable, and resilient distributed systems. Infrastructure as Code (IaC) & Automation : Proficient in IaC tools and automating infrastructure provisioning and management. Disaster Recovery (DR) & High Availability (HA) : Deep knowledge and practical experience with various DR and HA strategies. Observability : Implement and utilize monitoring, logging, and tracing tools for system health. System Design (Distributed Systems) : Design complex distributed systems with a focus on reliability and operations. Problem-Solving & Troubleshooting : Excellent analytical and diagnostic skills for resolving complex system issues. Qualifications Technical Skills & Experience Extensive hands-on experience of 7-12 Years with relational databases (e.g., MySQL, PostgreSQL, SQL Server) and distributed NoSQL systems (e.g., Cassandra, MongoDB, DynamoDB). Proven track record of designing and operating databases in large-scale cloud-native environments (AWS, GCP, Azure). Strong programming skills in Python, Go, or Bash for building infrastructure tooling and automation frameworks. Expertise with Infrastructure as Code (Terraform, Helm, Ansible) and Kubernetes for managing production database systems. Deep knowledge of database replication, clustering, backup/restore, and failover techniques. Advanced experience with observability tooling (Prometheus, Grafana, Datadog, New Relic) for monitoring distributed databases. Strong communication skills and ability to influence across teams and levels. Degree in Computer Science, Engineering, or related field. Experience building and scaling services in production with high uptime targets (99.99%+). Clear track record of reducing incident frequency and improving response metrics (MTTD/MTTR). Strong communicator who thrives in high-pressure environments. Passionate about automation, chaos engineering, and making things just work. Additional Information At Freshworks, we are creating a global workplace that enables everyone to find their true potential, purpose, and passion irrespective of their background, gender, race, sexual orientation, religion and ethnicity. We are committed to providing equal opportunity for all and believe that diversity in the workplace creates a more vibrant, richer work environment that advances the goals of our employees, communities and the business. Show more Show less