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5.0 - 8.0 years

10 - 14 Lacs

bengaluru

Work from Office

About The Role 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 : Microsoft SQL Server Administration Good to have skills : NAMinimum 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. Your typical day will involve collaborating with various teams to ensure that application requirements are met, overseeing the development process, and providing guidance to team members. You will also engage in problem-solving activities, ensuring that the applications are functioning optimally and meeting the needs of stakeholders. Your role will require effective communication and coordination to drive project success and maintain high standards of quality in application development. 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.- Facilitate knowledge sharing and mentoring within the team to enhance overall performance.- Monitor project progress and ensure timely delivery of application features and updates. Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft SQL Server Administration.- Strong understanding of database design and management principles.- Experience with performance tuning and optimization of SQL queries.- Familiarity with backup and recovery strategies for SQL Server databases.- Ability to implement security measures to protect sensitive data. Additional Information:- The candidate should have minimum 5 years of experience in Microsoft SQL Server Administration.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

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8.0 - 12.0 years

16 - 27 Lacs

chennai

Work from Office

Responsibilities Ability to build and lead a team of data scientists. You would be required to identify, develop, and implement the appropriate statistical modeling and ML/Deep learning models to create new, scalable solutions that address business challenges across industry domains. Create business stories and presentations through Data Inferential Analysis Define, develop, maintain, and evolve data models, tools, and capabilities. Communicate your findings to the appropriate teams through visualizations Collaborate and communicate findings to diverse stakeholders Required Implementation Experience (any 3 or above): Clustering, Customer Segmentation & Targeting, Propensity Modeling, Churn Modeling, Lifetime Value Estimation, Forecasting, Modeling Response to Incentives, Marketing Mix Optimization, Price Optimization. Good to have exposure in Object detection/Image recognition, natural language processing, Sentiment Analysis, Topic Modeling, Concept Extraction, Recommender Systems, and text classification. Experienced in agile methodology for delivering on project milestones. Need to have command on verbal, presentation, and written communication skills. Preferred Qualifications: Bachelors/Masters/PhD degree in Math, Computer Science, Information Systems, Machine Learning, Statistics, Applied Mathematics, or related technical degree. 8+ years total experience with a minimum of 3 years of experience in a related position as a data scientist or ML engineer building predictive analytics and machine learning solutions for various types of business problems. Advanced knowledge of Statistical Modeling, Machine Learning Algorithms, and Python Programming Strong individual planning and project management skills, able to work on more than one responsibilities through right prioritization Self-motivated and driven to deliver agreed results on-time Ability to convert analytical output into clear, concise, and persuasive insights & recommendations for technical & non-technical audience Key traits: Be a problem solver and be proactive to solve the challenges that come his way. Should have excellent communication skills. Should be self-motivated and willing to work as part of a team. Should be able to collaborate and coordinate in a remote environment.

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4.0 years

0 Lacs

gurugram, haryana, india

On-site

ABOUT US: Bain & Company is a global consultancy that helps the world’s most ambitious change makers define the future. Across 61 offices in 39 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition and redefine industries. Since our founding in 1973, we have measured our success by the success of our clients, and we proudly maintain the highest level of client advocacy in the industry. In 2004, the firm established its presence in the Indian market by opening the Bain Capability Center (BCC) in New Delhi. The BCC is now known as BCN (Bain Capability Network) with its nodes across various geographies. BCN plays a critical role in supporting Bain's case teams globally to help with analytics and research across all industries, for corporate cases, client development, private equity diligence or Bain intellectual property. The BCN comprises of Consulting Services, Knowledge Services and Shared Services. WHO YOU’LL WORK WITH: This role is based out of the People & ORG CoE which sits in the broader Data & Tech cluster at the BCN. People & ORG CoE works on building and deploying analytical solutions pertaining to Operating Model and Organization Practice. The team primarily helps Bain case teams, across geographies and industries, solve critical client issues by applying battle-proven diagnostics/ solutions that can identify client pain points related to org, culture, and talent. The team also plays a significant role in creating, testing, and contributing to the proprietary products and Bain IP within the Org domain. This role will focus on development, maintenance and evolution of the state-of-the art org tool and data assets. WHAT YOU’LL DO: Become an expert and own, maintain and evolve advanced internal tools (Python focused) as well as help develop new tools with LLMs and GenAI, in individual capacity Be responsible for end-to-end handling of the entire tool process, i.e., developing Python scripts, troubleshooting errors, etc. Help with case delivery related to those tools and generate meaningful insights for Bain clients Potentially build and maintain internal web applications using front-end technologies (HTML, CSS, JavaScript) and frameworks like Streamlit; ensure compatibility across devices and browsers Work under the guidance of a Team Manager / Sr. Team Manager, playing a key role in driving the team’s innovation, especially on GenAI topics – identifying areas for automation and augmentation, helping team create efficiency gains Lead internal team calls and effectively communicate data, knowledge, insights and actionable next steps on tool development, relaying implications to own internal team where necessary Keep abreast of new and current statistical, database, machine learning, and advanced analytics techniques ABOUT YOU: Candidate should be a Graduate/ Post-graduate from top-tier college with strong academic background Must-have relevant experience of 4+ years on Python, with experience using/ building tools using GenAI, LLMs or Machine Learning will be preferred Advanced understanding of database design and Azure/ AWS servers functioning would be preferred Good to have experience in SQL, Git, and hands-on experience with statistical and machine learning models (e.g., regression, classification, clustering, NLP, ensemble methods), including practical application in business contexts Good to have experience of HTML, CSS, JavaScript (ES6+), pgadmin and low-code development tools such as Streamlit, Mendix, Power Apps Experience with data science/ data analytics and ETL tools such as Alteryx, Informatica, will be a plus Must be able to generate and screen realistic answers based on sound reality checks and recommend actionable solutions Must be willing to own and maintain high visibility and high impact product Experience in managing productized solutions will be helpful Excellent oral and written communication skills including the ability to communicate effectively with both technical and non-technical senior stakeholders Ability to prioritize projects, manage multiple competing priorities and drive projects to completion under tight deadlines WHAT MAKES US A GREAT PLACE TO WORK: We are proud to be consistently recognized as one of the world's best places to work, a champion of diversity and a model of social responsibility. We are currently ranked the #1 consulting firm on Glassdoor’s Best Places to Work list, and we have maintained a spot in the top four on Glassdoor's list for the last 12 years. We believe that diversity, inclusion and collaboration is key to building extraordinary teams. We hire people with exceptional talents, abilities and potential, then create an environment where you can become the best version of yourself and thrive both professionally and personally. We are publicly recognized by external parties such as Fortune, Vault, Mogul, Working Mother, Glassdoor and the Human Rights Campaign for being a great place to work for diversity and inclusion, women, LGBTQ and parents.

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5.0 years

0 Lacs

chennai, tamil nadu, india

On-site

Job Description: We are looking for an experienced Tableau Administrator to join our team. The ideal candidate will be responsible for managing, maintaining, and optimizing Tableau Server and Tableau Cloud environments to support business intelligence (BI) and data visualization initiatives. You will work closely with stakeholders to ensure secure and efficient data access, server performance, and user management. This role requires a deep understanding of Tableau Server administration, user security, and performance optimization within Tableau environments. Primary Skills: Tableau Admin Secondary Skills: SQL / PL SQL,Data & Analytics Concepts Role Description: The Tableau Administrator will be responsible for managing the Tableau infrastructure to ensure smooth performance, data accessibility, and user management. You will play a key role in the installation, configuration, and maintenance of Tableau Server, while supporting data visualization teams and ensuring scalability and security. In this role, you will work closely with data analysts, business intelligence (BI) developers, and IT teams to ensure that the Tableau environment is optimized and aligned with business needs. You will also assist in performance tuning and troubleshoot issues related to the Tableau server, licenses, and permissions. Role Responsibility: Tableau Server Management: Install, configure, and maintain Tableau Server in multi-environment setups (Dev, QA, Prod). Security & User Management: Administer user roles, permissions, and groups, and manage security settings, including SSO and LDAP configurations. Performance Optimization: Monitor and optimize server performance to ensure efficient data visualization and fast report load times. Data Integration & Management: Connect Tableau to various data Role Requirement: Bachelor’s degree in Computer Science, Information Technology, or a related field. 5+ years of experience in Tableau administration, including hands-on experience with Tableau Server and Tableau Cloud. Strong expertise in Tableau Server configuration, maintenance, patching, and upgrades. Proven experience in performance tuning, load sources, manage extract and refresh schedules, and troubleshoot connectivity issues. Backup, Recovery, and Maintenance: Manage server backups, disaster recovery plans, and perform regular maintenance tasks, including patching and upgrades. End-User Support: Provide technical support to Tableau users, including assistance with report publishing and dashboard troubleshooting. Documentation: Create and maintain documentation for server configurations, user management policies, and best practices. Training & Development: Conduct user training sessions and keep teams updated on Tableau Server features and best practices. balancing, and security management. Proficiency in SQL, scripting (Python, Shell, PowerShell), and database management. Excellent troubleshooting skills and ability to monitor server health and performance metrics. Strong communication skills and experience working with cross-functional teams. Additional Requirement: Experience with multi-tenant environments, server clustering, and disaster recovery planning. Familiarity with advanced security protocols such as row-level security and rolebased access. Tableau certification is a plus.

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6.0 years

0 Lacs

hyderābād

On-site

Job Title: DBA – MS SQL Server with Snowflake Exposure Experience: 6+ years Location: Hyderabad (Onsite) Type: Full-time Role Overview: Looking for an experienced Database Administrator with strong expertise in MS SQL Server and working exposure to Snowflake . You will manage, optimize, and secure databases while supporting data integration and analytics needs. Key Responsibilities: Administer, monitor, and maintain MS SQL Server databases. Perform backups, restores, disaster recovery, and replication. Optimize performance via indexing, query tuning, and resource monitoring. Manage security, access controls, and compliance. Work with developers on database design and optimization. Support Snowflake for data integration, migration, and analytics. Troubleshoot and resolve database issues. Required Skills: 6+ years as an MS SQL Server DBA (2012/2014/2016/2019). Strong T-SQL and performance tuning experience. Hands-on with high availability solutions (AlwaysOn, clustering, log shipping). Exposure to Snowflake (schema design, tuning, data loading). Knowledge of ETL tools (SSIS) and cloud DB environments. Preferred: Microsoft SQL Server or Snowflake certification. PowerShell scripting and automation skills. Qualification: Bachelor’s in Computer Science/IT or equivalent experience. Job Type: Full-time Benefits: Health insurance Paid sick time Provident Fund Application Question(s): Do you have experience in Azure Synapse and Snowflake? What is your notice period? Work Location: In person

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8.0 years

0 Lacs

bengaluru

On-site

DESCRIPTION Role Overview: We're seeking a senior technical leader to drive the development and scaling of advanced product matching and selection systems. This role will lead technical initiatives addressing a multi-billion dollar market opportunity in retail technology, focusing on improving product discovery and selection coverage. Key job responsibilities Technical Architecture & Development (60%): Design and implement dual-layer machine learning systems combining state-of-the-art models Develop scalable data pipelines processing 600M+ products monthly Create automated validation frameworks with 99.9% accuracy Build real-time monitoring systems handling 10M+ daily queries Technical Objectives: Improve visual similarity matching from 32% to >70% across categories Develop automated trend detection using advanced AI/ML models Create clustering algorithms for 2000+ product types across multiple regions Manage technical dependencies across multiple engineering and science teams Success Metrics: Achieve >70% accuracy in product matching across categories Drive 60% improvement in processing efficiency Scale systems to handle 2x current capacity by Q4'26 Technical Requirements: Machine Learning & AI: Expert knowledge of machine learning models and frameworks Experience with computer vision and similarity algorithms Proficiency with Large Language Models Strong background in clustering algorithms Data Engineering: Experience with large-scale data pipelines Distributed computing systems expertise Real-time processing system design Data validation frameworks System Architecture: Modular architecture design Microservices architecture API design and development Performance optimization Scalable system design Leadership & Collaboration: Technical project leadership Cross-team collaboration Architecture governance Technical documentation Mentoring and guidance Required Qualifications: 8+ years of software development experience 5+ years of machine learning and data science experience 3+ years leading complex technical projects Bachelor's degree in Computer Science or related field Experience with large-scale distributed systems Track record of improving system performance metrics Preferred Qualifications: Master's degree in Computer Science, Machine Learning, or related field Experience with retail technology systems Previous experience with visual similarity algorithms Track record of successful large-scale system implementations Impact: This role will be instrumental in transforming our product discovery capabilities, directly impacting customer experience and business growth in the competitive retail technology space. A day in the life Key Technical Activities: Lead architectural decisions for ML systems and data pipelines Review and optimize model performance metrics Analyze system health and scalability metrics Develop technical specifications and proof of concepts Debug complex production issues Evaluate and approve architecture changes Design solutions for improving visual similarity algorithms Leadership & Collaboration: Lead technical design reviews and architecture syncs Mentor team members on ML best practices Collaborate with data scientists on model improvements Align with cross-functional teams on technical dependencies Guide implementation strategies across multiple teams Review and approve technical proposals Provide architectural guidance for scaling solutions Strategic Focus: Drive improvements in model accuracy and system performance Define technical standards and best practices Balance immediate technical needs with long-term architecture Evaluate new ML technologies and approaches Guide innovation in automated trend detection Ensure system reliability and scalability Monitor and improve key performance metrics Regular Interactions: ML Engineers and Data Scientists Product and Platform teams Infrastructure teams Business Intelligence teams Senior technical leadership This role combines hands-on technical expertise in ML/AI with strategic architectural leadership, requiring both deep technical knowledge and strong collaboration skills. The focus is on driving technical excellence while ensuring successful delivery of large-scale ML solutions that impact business metrics. About the team The RBS-Availability program includes Selection Addition (where new Head-Selections are added based on gaps identified by Selection Monitoring-SM), Buyability (ensuring new HS additions are buyable and recovering established ASINs that became non-buyable), SoROOS (rectify defects for sourceble out-of-stock ASINs ) Glance View Speed (offering ASINs with the best promise speed based on Store/Channel/FC level nuances), Emerging MPs, ASIN Productivity (To have every ASINS actual contribution profit to meet or exceed the estimate). The North-Star of the Availability program is to "Ensure all customer-relevant (HS) ASINs are available in Amazon Stores with guaranteed delivery promise at an optimal speed." To achieve this, we collaborate with SM, SCOT, Retail Selection, Category, and US-ACES to identify overall opportunities, defect drivers, and ingress across forecasting, sourcing, procurability, and availability systems, fixing them through UDE/Tech-based solutions. BASIC QUALIFICATIONS 5+ years of SQL experience Experience programming to extract, transform and clean large (multi-TB) data sets Experience with theory and practice of design of experiments and statistical analysis of results Experience with AWS technologies Experience in scripting for automation (e.g. Python) and advanced SQL skills. Experience with theory and practice of information retrieval, data science, machine learning and data mining PREFERRED QUALIFICATIONS Experience working directly with business stakeholders to translate between data and business needs Experience managing, analyzing and communicating results to senior leadership Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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5.0 years

10 - 10 Lacs

bengaluru

Remote

Technical Support Engineering Bangalore, Karnataka, India Date posted Aug 31, 2025 Job number 1863909 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 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 Required Qualifications: Bachelor's degree in Computer Science, Information Technology (IT), or related field AND 5 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 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.

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8.0 years

0 Lacs

chennai

On-site

DESCRIPTION Role Overview: We're seeking a senior technical leader to drive the development and scaling of advanced product matching and selection systems. This role will lead technical initiatives addressing a multi-billion dollar market opportunity in retail technology, focusing on improving product discovery and selection coverage. Key job responsibilities Technical Architecture & Development (60%): Design and implement dual-layer machine learning systems combining state-of-the-art models Develop scalable data pipelines processing 600M+ products monthly Create automated validation frameworks with 99.9% accuracy Build real-time monitoring systems handling 10M+ daily queries Technical Objectives: Improve visual similarity matching from 32% to >70% across categories Develop automated trend detection using advanced AI/ML models Create clustering algorithms for 2000+ product types across multiple regions Manage technical dependencies across multiple engineering and science teams Success Metrics: Achieve >70% accuracy in product matching across categories Drive 60% improvement in processing efficiency Scale systems to handle 2x current capacity by Q4'26 Technical Requirements: Machine Learning & AI: Expert knowledge of machine learning models and frameworks Experience with computer vision and similarity algorithms Proficiency with Large Language Models Strong background in clustering algorithms Data Engineering: Experience with large-scale data pipelines Distributed computing systems expertise Real-time processing system design Data validation frameworks System Architecture: Modular architecture design Microservices architecture API design and development Performance optimization Scalable system design Leadership & Collaboration: Technical project leadership Cross-team collaboration Architecture governance Technical documentation Mentoring and guidance Required Qualifications: 8+ years of software development experience 5+ years of machine learning and data science experience 3+ years leading complex technical projects Bachelor's degree in Computer Science or related field Experience with large-scale distributed systems Track record of improving system performance metrics Preferred Qualifications: Master's degree in Computer Science, Machine Learning, or related field Experience with retail technology systems Previous experience with visual similarity algorithms Track record of successful large-scale system implementations Impact: This role will be instrumental in transforming our product discovery capabilities, directly impacting customer experience and business growth in the competitive retail technology space. A day in the life Key Technical Activities: Lead architectural decisions for ML systems and data pipelines Review and optimize model performance metrics Analyze system health and scalability metrics Develop technical specifications and proof of concepts Debug complex production issues Evaluate and approve architecture changes Design solutions for improving visual similarity algorithms Leadership & Collaboration: Lead technical design reviews and architecture syncs Mentor team members on ML best practices Collaborate with data scientists on model improvements Align with cross-functional teams on technical dependencies Guide implementation strategies across multiple teams Review and approve technical proposals Provide architectural guidance for scaling solutions Strategic Focus: Drive improvements in model accuracy and system performance Define technical standards and best practices Balance immediate technical needs with long-term architecture Evaluate new ML technologies and approaches Guide innovation in automated trend detection Ensure system reliability and scalability Monitor and improve key performance metrics Regular Interactions: ML Engineers and Data Scientists Product and Platform teams Infrastructure teams Business Intelligence teams Senior technical leadership This role combines hands-on technical expertise in ML/AI with strategic architectural leadership, requiring both deep technical knowledge and strong collaboration skills. The focus is on driving technical excellence while ensuring successful delivery of large-scale ML solutions that impact business metrics. About the team The RBS-Availability program includes Selection Addition (where new Head-Selections are added based on gaps identified by Selection Monitoring-SM), Buyability (ensuring new HS additions are buyable and recovering established ASINs that became non-buyable), SoROOS (rectify defects for sourceble out-of-stock ASINs ) Glance View Speed (offering ASINs with the best promise speed based on Store/Channel/FC level nuances), Emerging MPs, ASIN Productivity (To have every ASINS actual contribution profit to meet or exceed the estimate). The North-Star of the Availability program is to "Ensure all customer-relevant (HS) ASINs are available in Amazon Stores with guaranteed delivery promise at an optimal speed." To achieve this, we collaborate with SM, SCOT, Retail Selection, Category, and US-ACES to identify overall opportunities, defect drivers, and ingress across forecasting, sourcing, procurability, and availability systems, fixing them through UDE/Tech-based solutions. BASIC QUALIFICATIONS 5+ years of SQL experience Experience programming to extract, transform and clean large (multi-TB) data sets Experience with theory and practice of design of experiments and statistical analysis of results Experience with AWS technologies Experience in scripting for automation (e.g. Python) and advanced SQL skills. Experience with theory and practice of information retrieval, data science, machine learning and data mining PREFERRED QUALIFICATIONS Experience working directly with business stakeholders to translate between data and business needs Experience managing, analyzing and communicating results to senior leadership Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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0 years

3 - 6 Lacs

chennai

On-site

Key Responsibilities Design, develop, and maintain scalable data pipelines using AWS services and Snowflake. Build and manage data transformation workflows using dbt. Collaborate with data analysts, data scientists, and business stakeholders to deliver clean, reliable, and well-documented datasets. Optimize Snowflake performance through clustering, partitioning, and query tuning. Implement data quality checks, testing, and documentation within dbt. Automate data workflows and integrate with CI/CD pipelines. Ensure data governance, security, and compliance across cloud platforms. Required Skills & Qualifications: Strong experience with Snowflake (data modeling, performance tuning, security). Proficiency in dbt (models, macros, testing, documentation). Solid understanding of AWS services such as S3, Lambda, Glue, and IAM. Experience with SQL and scripting languages (e.g., Python). Familiarity with version control systems (e.g., Git) and CI/CD tools. Strong problem-solving skills and attention to detail. About Virtusa Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us. Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence. Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

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5.0 years

3 - 16 Lacs

ahmedabad

On-site

Company Ishitva aims at solving one of the biggest challenges faced by the world currently, which is the sorting and recycling of plastic and other dry waste. We build automation solutions for the waste management industry using industry 4.0 tools, including artificial intelligence, machine learning, and IoT. Our solutions use computer vision to make sorting of waste more efficient at different stages of the waste value chain. With a futuristic vision of revolutionising the recycling industry, today we provide solutions for automated picking, sorting, and segregation of dry waste, including plastics. Ishitva is recognised as top 10 leading AI-based start-ups in the country, and we are looking to build a team of young and energetic members who will work towards creating innovative solutions for some of the most urgent and important issues faced by the world. We are building a diverse team of professionals, engineers, and environment enthusiasts to help us. transform the waste management practices across the country. Job Summary: We are seeking an experienced Computer Vision AI/ML/DL Engineer with 5+ years of expertise in developing advanced models and algorithms for clustering, segmentation, object detection, and image processing. In this role, you will design, develop, and deploy scalable AI solutions using deep learning, computer vision, and machine learning frameworks. You will collaborate with cross-functional teams to integrate intelligent vision-based models into real-world automation systems for waste sorting and recycling. If you are passionate about building high-impact AI solutions that solve real-world challenges, we invite you to join our growing team. Roles and Responsibilities 1. Core AI/ML Development : ○ Research, design, and implement deep learning models for object detection, clustering, and segmentation ○ Develop robust image/processing pipelines for real-time industrial application. 2. Collaboration & Integration : ○ Work closely with software and hardware teams to deploy AI models into production systems. ○ Optimize models for real-time inference on edge devices and GPUs. ○ Collaborate with data engineering teams for dataset creation, annotation, and preprocessing. 3. Performance & Optimization : ○ Evaluate models using metrics such as mAP, IoU, Precision, Recall, F1-score, latency, throughput. ○ Optimize models for speed, accuracy, and scalability in production environments. ○ Implement active learning and semi-supervised approaches for continuous model improvement. 4. Agile Practices : ○ Participate in sprint planning, daily stand-ups, and retrospective meetings. ○ Contribute to roadmap planning and documentation. 5. Research & Innovation : ○ Explore novel architectures, algorithms, and frameworks applicable to industrial automation. ○ Stay updated with the latest advancements in AI/ML/DL and computer vision. Requirements of a successful candidate: · Education qualification—Bachelor’s/Master’s degree in Computer Science, AI/ML, Data Science, or related field. · 5+ years of hands-on experience in AI/ML/DL with a focus on computer vision. · Skills required · Strong expertise in deep learning frameworks: PyTorch, TensorFlow, and OpenCV. · Proven experience in clustering, segmentation, object detection, and image classification. · Experience with real-time model deployment on edge devices (Jetson, GPU, TPU). · Proficiency in Python, CUDA, and C++ (preferred). · Familiarity with MLOps tools (Docker, Kubernetes, Git, CI/CD pipelines). · Strong debugging, optimization, and problem-solving skills. · Any additional requirement—publications, patents, or Kaggle competition experience in computer vision—is an added advantage Why Join Us? · Opportunity to work on cutting-edge AI/ML/DL projects in industrial automation. · Collaborate with a diverse and passionate team of AI, hardware, and software specialists. · Be part of an organization driving sustainability and innovation in recycling and waste management. Benefits ● Pick-up drop-off facility from office to plant ● Accident Insurance Contact Ishitva: careers@ishtiva.in Job Type: Full-time Pay: ₹391,946.58 - ₹1,645,722.61 per year Work Location: In person

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5.0 years

0 Lacs

hyderabad, telangana, india

On-site

ExcelR is seeking experienced AI and Machine Learning trainers to deliver a comprehensive AI and Machine Learning curriculum. The training program will span 40 working days, with daily classes of 5–6 hours, tentatively from August 20, 2025, to October 21, 2025. The role involves teaching theoretical concepts, guiding hands-on projects, and mentoring students on real-world AI/ML applications. Skills Required : Foundational ML: Logistic Regression, SVM, Decision Trees, Ensemble Methods (Bagging, Random Forests), Boosting (Gradient Boosting, AdaBoost, XGBoost, LightGBM), PCA, Clustering (K-means, Hierarchical, DBSCAN), Market Basket Analysis, and Recommendation Systems. Deep Learning: ANN, CNN, RNN, LSTM, GRU, Transformers, GANs, Autoencoders, Diffusion Models (Stable Diffusion), and LLMs (e.g., GPT, BERT). Data Preprocessing: Standardization, normalization, encoding, train-test split, cross-validation, regularization (Lasso, Ridge, ElasticNet), and feature engineering. Generative AI: Text-to-image/audio/video generation, chatbots, sentiment analysis, and Retrieval-Augmented Generation (RAG) with FAISS. Web & Cloud Deployment: Building and deploying RESTful APIs using Flask/FastAPI, cloud computing with AWS (EC2, S3, Lambda) and Azure (Blob, App Services), and Streamlit for project deployment. Mathematics: Calculus, vector algebra, probability. Prompt Engineering: Zero-shot, few-shot, prompt tuning, and designing effective prompts. Case Studies: Hands-on projects (e.g., Bangalore housing prices, Breast cancer classification, Sales dataset). Qualifications : Education: Bachelor’s/Master’s in Computer Science, AI, ML, or related fields. Experience: 3–5 years in Machine Learning, Deep Learning, and Full Stack AI development, with hands-on experience in: Python and libraries like scikit-learn, TensorFlow, Keras, PyTorch. Generative AI (GANs, Diffusion Models, LLMs like GPT-2, LLaMA). Web development (Flask, FastAPI) and cloud deployment (AWS EC2, Azure). Tools like Hugging Face, FAISS, LangChain, and Streamlit. Teaching Skills: Prior teaching/training experience preferred, with the ability to explain complex topics (e.g., attention mechanisms, PCA) to undergraduate students. Certifications: Relevant certifications in AI/ML (e.g., AWS Certified Machine Learning, Google Professional ML Engineer) are a plus.

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india

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Artificial Intelligence & Machine Learning Intern 📍 Location: Remote (100% Virtual) 📅 Duration: 3 Months 💸 Stipend for Top Interns: ₹15,000 🎁 Perks: Certificate | Letter of Recommendation | Full-Time Offer (Performance-Based) About INLIGHN TECH INLIGHN TECH is a future-ready edtech company providing hands-on, project-based virtual internships to help students and graduates build practical skills. Our AI & ML Internship is tailored for aspiring professionals looking to gain real-world experience in artificial intelligence and machine learning through coding, experimentation, and project development. 🚀 Internship Overview As an AI & Machine Learning Intern , you'll work on real datasets and implement ML algorithms to solve classification, regression, and clustering problems. You'll get the opportunity to apply deep learning models, understand the ML pipeline, and contribute to AI-powered projects under expert guidance. 🔧 Key Responsibilities Clean and preprocess datasets for machine learning Build and evaluate models using libraries like Scikit-learn , TensorFlow , or PyTorch Implement algorithms such as Linear Regression, Decision Trees, SVM, K-Means, and Neural Networks Work on real-world AI applications like image recognition, sentiment analysis, or recommendation systems Visualize model performance using Matplotlib , Seaborn , or Power BI Collaborate in a team environment using Git/GitHub and participate in code reviews Document model assumptions, evaluation results, and future improvements ✅ Qualifications Pursuing or recently completed a degree in Computer Science, AI, Data Science , or a related field Strong foundation in Python , statistics , and machine learning concepts Familiarity with Numpy, Pandas, Scikit-learn , and deep learning frameworks Understanding of the ML lifecycle , from data collection to deployment Good problem-solving skills and an eagerness to learn Bonus: experience with NLP, computer vision , or ML model deployment (Flask/Streamlit) 🎓 What You’ll Gain Hands-on experience with real-time AI and ML projects A portfolio of ML models, visualizations, and predictive tools Internship Certificate upon successful completion Letter of Recommendation for top performers Opportunity for a Full-Time Offer based on your work A strong foundation to pursue roles in ML engineering, data science, and AI research

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5.0 years

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hyderabad, telangana, india

On-site

Experience: 5+ Years Proficiency in Python to manipulate data and draw insights from large data sets is a must. Knowledge of a variety of machine learning techniques (clustering, decision trees, boosting, artificial neural networks, etc.) and their real-world advantages/drawbacks. Knowledge of popular ML and non-ML libraries: TensorFlow, Torch, Sklenar, etc. Solid understanding of machine learning concepts and techniques, particularly in NLP. Experience on popular NLP and Computer vision libraries is a plus: Spacy, NLTK, OpenCV, … Knowledge of popular cloud infrastructure: Google Cloud, AWS, Microsoft Azure, … Experience in code management using Git Secondary Skills Strong problem-solving skills and the ability to work collaboratively in a team environment. Excellent written and verbal communication skills. Experience in leveraging large language models (LLMs) and frameworks such as Lang Chain and Lang Smith for creating and optimizing AI-driven conversational applications.

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3.0 years

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pune, maharashtra, india

Remote

About Arctera Arctera keeps the world’s IT systems working. We can trust that our credit cards will work at the store, that power will be routed to our homes and that factories will produce our medications because those companies themselves trust Arctera. Arctera is behind the scenes making sure that many of the biggest organizations in the world – and many of the smallest too – can face down ransomware attacks, natural disasters, and compliance challenges without missing a beat. We do this through the power of data and our flagship products, Insight, InfoScale and Backup Exec. Illuminating data also helps our customers maintain personal privacy, reduce the environmental impact of data storage, and defend against illegal or immoral use of information. It’s a task that continues to get more complex as data volumes surge. Every day, the world produces more data than it ever has before. And global digital transformation – and the arrival of the age of AI – has set the course for a new explosion in data creation. Joining the Arctera team, you’ll be part of a group innovating to harness the opportunity of the latest technologies to protect the world’s critical infrastructure and to keep all our data safe. Job Summary Respond to customer inquiries (voice or other digital communications) for an assigned product(s) within a Technical Support Engineer environment. Provide technical support to Arctera customers, partners, and field support staff with varying levels of support maintenance entitlements i.e., entry level, through to premier level entitlements, with focus on diagnosing, troubleshooting, and debugging Veritas software and hardware, including cloud platforms. Position provides an opportunity to continuously develop technical skills through learning and supporting a platform that brings together availability, protection, and insights for our customers. Position requires a motivated, self-starter and self-learner with a customer-first attitude. Primary Accountabilities Provide technical support for Arctera products, on-premises and in cloud platforms. Answer technical questions from customers, partners, and field reps. Resolve cases per productivity, performance and SLA standards and support goals. Document and diagnose system issues resulting in production outages. Research, document, and collaborate on cases as required. Author or update technical documents in Veritas Knowledge Base. Address multiple issues simultaneously, with a case for each issue raised. Establish close interactions with team members. Determine when necessary to engage team members to enable timely case resolution. Participate in weekly meetings and forums with other technical support engineers. Participate in evaluation of new products and features. Knowledge Core Technologies: Experience across one or more of the following. Operating Systems - Microsoft Windows 2008/ 2008 R2/2012 Expertise in Microsoft Exchange 2007, 2010, 2013 – Messaging Admin Expertise in Outlook Client - 2007, 2010, 2013 and Outlook Web Access ( OWA) Web Server - IIS 6/7/8 Virtualization technologies: VMWare, Hyper-V Expertise in Advance Relational Database principles and methodologies (SQL) Expertise in Enterprise Level Infrastructure Technology - Active Directory, DNS, DHCP Networking Protocols , Network Topologies and overall Network Landscape Knowledge of Storage Systems : EMC - Centera , Celerra ; NetApp storage ( SAN & NAS) Knowledge of High Availability Technologies and Clustering Strong expertise on Veritas Enterprise Vault/ Archiving software Working knowledge in one or more of the following technologies: Cross platform server environments and Server Hardware Exchange Archiving File Server Archiving IBM Domino Server and Lotus Notes Microsoft SharePoint Server Additional knowledge: Working knowledge in one or more of the following. Enterprise Information Systems, Application Servers, and Hardware Infrastructure. Virtualization: VMware, Hyper-V, RHV, Nutanix, and Containers (Docker, Podman). Databases: Microsoft SQL Server / MySQL / PostgreSQL. Oracle Database. IBM DB2. Microsoft Exchange / Microsoft 365. Storage: DAS/NAS/SAN: Switches, Zoning, HBA, SFP, WWN, WWPN. Cloud: Object Storage (AWS, Azure, GCP) and on-premises disaster recovery solutions. Basic familiarity with SaaS, PaaS, IaaS, and APIs. Clustering and High Availability systems. Experience with scripting languages (i.e., Python, Perl, and PHP) is beneficial. Skills & Competencies Customer Service Positive attitude and customer centric mindset. Commitment to delivering customer value. Assist customers on live calls via remote assistance. Collaboration Engagement with peers in an open and collaborative environment. Ability to work with multiple stakeholders: Sales, Engineering, Development. Demonstrate b sense of willingness to learn, share, and work together as team. Communication Skills Effective customer relationship management. Capable of navigating customer expectations with empathy. Active and reflective listening, problem solving and troubleshooting techniques. Clear and concise technical documentation: Problem Statement, Case Notes, Knowledge Articles. Ability to simplify technical topics in common terms. Time management Plan and prioritize activities effectively. Ability to pivot swiftly to meet customer needs. Apply flexibility and adapt to changing priorities in a dynamic working environment. Maximize engagement with team members to effectively drive case resolution. Troubleshooting Apply decision making and problem-solving techniques. Use systems knowledge to formulate a clear problem statement. Ability to trace application faults at a process level in distributed system environments. Think quickly and react to situations with customer impact. Ability to break down complex problems into simple components Preferred Certifications CompTIA: Linux+, Network+, Server+. Red Hat: RHCSA, RHCE. Cisco: CCNA, CCNP. Cloud Certifications: Amazon, Microsoft, Google. Job Complexity Works on problems of moderate scope where analysis of situations or data requires a review of a variety of factors. Exercises judgment within defined procedures and practices to determine appropriate action. Builds productive internal/external working relationships. Supervision Normally receives general instructions on routine work, detailed instructions on new assignments under general supervision. Follows established directions. Work is reviewed for accuracy and overall adequacy. Experience / Education / Qualifications Diploma holders / Graduates / Postgraduates in Engineering / Science. 3+ years’ of Sys Admin or related enterprise Technical Support Certification in one’s product area. 3+ years’ experience providing 2nd /3rd level support in an enterprise class product company, or 3+ years’ experience working in a LIVE production environment or datacenter with heterogeneous IT infrastructure. 2+ years’ experience of public and/or private cloud platform experience preferred.

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3.0 years

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hyderabad, telangana, india

On-site

Job Overview: We are seeking an experienced and passionate Data Science Trainer to join our team and deliver comprehensive training programs on Data Science, Machine Learning, Deep Learning, and related technologies. The ideal candidate will have a strong background in data science concepts, practical industry experience, and a proven ability to teach complex topics effectively. This role involves designing and conducting interactive sessions based on our structured syllabus, guiding learners through hands-on projects, and fostering a deep understanding of data-driven problem-solving. Key Responsibilities: Deliver Engaging Training Sessions: Conduct classroom or online sessions on core Data Science topics, including introductions to Data Science vs. Data Analytics vs. AI, project lifecycles, statistical fundamentals, Python programming, data visualization, machine learning algorithms, unsupervised learning, deep learning, natural language processing (NLP), and generative AI. Hands-On Demonstrations and Projects: Lead practical demos using tools like Jupyter, Spyder, Google Colab, and generative AI for exploratory data analysis (EDA), model building, and deployment. Guide participants through case studies such as breast cancer classification, Bangalore housing prices prediction, sales data analysis, and time series forecasting with ARIMA. Curriculum Alignment and Customization: Follow the provided syllabus to cover subtopics like probability distributions, hypothesis testing, regression models (linear, logistic), classifiers (SVM, Decision Trees), ensemble techniques (Random Forests, Gradient Boosting, XGBoost), dimensionality reduction (PCA), clustering (K-Means, DBSCAN), recommendation systems, neural networks (ANN, RNN, LSTM), text preprocessing, word embeddings (Word2Vec), and large language models (LLMs) with transformers. Mentor and Assess Learners: Provide guidance on roles in data science, important learnings, and career paths. Handle Q&A sessions, evaluate participant progress through assignments, cross-validation exercises, and final projects involving model deployment. Incorporate Best Practices: Teach data transformation techniques (scaling, encoding), model validation (K-Fold CV), handling overfitting/underfitting, regularization (Lasso, Ridge), and ethical considerations in AI/ML. Stay Updated and Innovate: Integrate emerging trends like Hugging Face libraries for LLMs and pre-trained models. Collaborate with the team to update the curriculum based on industry advancements. Administrative Duties: Prepare training materials, datasets, and code examples. Track participant engagement and provide feedback for program improvement. Required Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. A PhD is a plus. Certification in Data Science, Machine Learning, or related areas (e.g., from Coursera, edX, or Google) is desirable. Essential Skills and Experience: Technical Expertise: Proficiency in Python programming, including data types, control structures, loops, functions, NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn, TensorFlow, Keras, and libraries for NLP (e.g., NLTK, spaCy) and generative AI (e.g., Hugging Face Transformers). Strong knowledge of statistics: central tendency, distributions (normal, skewness, kurtosis), charts (histograms, box plots, scatter plots), probability, hypothesis testing (Z-test, t-test), and confidence intervals. Expertise in Machine Learning: Supervised (regression, classification with metrics like RMSE, R², AUC, confusion matrix), unsupervised (PCA, clustering), ensemble methods (Bagging, Boosting, XGBoost, LightGBM), time series analysis (ARIMA), and recommendation systems (collaborative/content-based filtering). Deep Learning proficiency: Neural networks (perceptrons, backpropagation, activation functions, optimizers), RNNs, LSTMs/GRUs, and language modeling (N-grams, Word2Vec). NLP skills: Text preprocessing (tokenization, stemming, lemmatization), representations (BoW, TF-IDF), sentiment analysis, NER, and applications of pre-trained models. Familiarity with data handling: EDA, cleaning, transformation, partitioning, visualization, and deployment techniques. Teaching and Communication Skills: 3+ years of experience as a trainer, instructor, or mentor in Data Science/ML courses, preferably in academic or corporate settings. Ability to explain complex concepts simply, using real-world use cases (e.g., business problems in mobile/banking). Experience with interactive tools like Google Colab for in-class exercises and AI-assisted learning. Professional Experience: 5+ years in Data Science or related roles, with hands-on project experience in ML model development, deployment, and optimization. Proven track record of working on diverse datasets and case studies, including overfitting mitigation, feature engineering, and hyperparameter tuning (e.g., Grid Search CV). Soft Skills: Excellent presentation and interpersonal skills to engage diverse audiences. Problem-solving mindset with a focus on practical, industry-relevant training. Ability to adapt to learner needs, handle Q&A effectively, and promote collaborative learning. Preferred Qualifications Industry experience in deploying ML models or working with big data tools. Publications, contributions to open-source projects, or speaking engagements in Data Science conferences. Familiarity with ethical AI practices and bias mitigation in models.

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3.0 years

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pune, maharashtra, india

On-site

Job Description: Analyst – SEO Years of Experience: 1.5 – 3 years Work Mode: Onsite Company: Puretech Digital – Pune ( https://www.puretech.com) Job Summary: We are looking for a results-driven and detail-oriented Analyst - SEO to join our digital marketing team at Puretech Digital. This role is ideal for someone who has a solid foundation in SEO principles, understands the technical and content-side nuances of optimization, and is eager to grow within a fast-paced, agency environment. You’ll be responsible for end-to-end SEO strategy execution - spanning site audits, keyword research, on-page & off-page recommendations, reporting, and continual technical evaluations. Key Responsibilities: Conduct keyword research with a deep understanding of search intent , keyword clustering, and content mapping. Evaluate and improve information architecture and heading tag structures to enhance user journey and SEO value. Perform technical SEO audits , ensuring crawlability, optimal site speed, proper sitemap setup, and clean site health. Implement and troubleshoot Meta tags , OG tags , and structured data ( Schema markup ) across web pages. Optimize Core Web Vitals metrics - LCP, FCP, CLS - to improve site performance and user experience. Ensure fast-loading pages by addressing various site speed factors like image compression, server response time, and script handling. Understand and apply best practices around sitemap configuration , including frequency, priority, and correct formatting. Provide on-page recommendations : keyword-rich content, internal linking, canonicalization, and unique metadata. Support content creation by determining ideal content length , keyword density, semantic relevance, and overall value in line with E-E-A-T (Experience, Expertise, Authority, Trustworthiness). Proactively build and monitor backlink strategies using ethical link-building techniques. Generate and present error-free SEO reports with insights on rankings, CTR, bounce rate variations, and search performance using tools like Google Search Console , GA4 , and third-party SEO platforms . Who We’re Looking For: 1.5 to 3 years of hands-on SEO experience, preferably in a digital agency or performance-driven environment. Bachelor's degree in Engineering (preferred) or a related field. Strong understanding of search engine algorithms , ranking factors, and technical SEO fundamentals (404 vs soft 404 errors, crawlability, site speed benchmarks, etc.) Practical experience in using SEO tools like Ahrefs, SEMrush, Screaming Frog, Moz , or equivalent. Familiarity with HTML source code to make or suggest improvements for site crawling and indexing. Up-to-date with Google’s algorithm updates and how they impact search visibility and performance. Strong analytical skills and data interpretation capabilities. Excellent communication skills and a keen attention to detail. Passion for learning and staying ahead in SEO trends, tools, and best practices. Why Join Us? At Puretech Digital, we’re more than just a workplace. You’ll get hands-on experience across high-impact SEO projects, mentorship from digital veterans, and the opportunity to innovate and grow. If you live and breathe SEO, we want to hear from you. If you’re someone who understands SEO basics, knows how search works, and is ready to grow with hands-on experience, we’d love to hear from you! Send your resume to jesno.john@puretech.com and let’s talk.

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6.0 - 8.0 years

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hyderabad, telangana, india

On-site

Position Overview We are seeking an experienced Splunk Developer to join Enterprise Monitoring team. The ideal candidate will have 6-8 years of hands-on experience with Splunk, including search optimization, machine learning capabilities, and deep technical expertise in log analysis and monitoring solutions. Key Responsibilities 1. Machine Learning & AIOps Design and implement ML-based monitoring solutions using Splunk’s ML Toolkit (MLTK) . Build predictive and anomaly detection models for infrastructure metrics (CPU, memory, latency, etc.). Develop custom ML use cases —such as log clustering, failure prediction, and capacity forecasting. Optimize real-time analytics for large-scale datasets (millions of events/sec). 2. Splunk Observability & Unified Dashboards Implement end-to-end observability using Splunk Observability Cloud (APM, RUM, Log Observer, Infrastructure Monitoring) . Design unified dashboards that consolidate metrics, traces, and logs across hybrid cloud (AWS/Azure/GCP) and on-prem systems. Correlate ML insights with observability data to automate root cause analysis (RCA). Integrate with OpenTelemetry, Prometheus, and distributed tracing for full-stack visibility. 3. Search Optimization & Scalability Reduce search overhead by optimizing SPL queries and data model acceleration. Implement summary indexing and data sampling for high-volume environments. 4. Automation & Advanced Analytics Python scripting for custom ML pipelines, API integrations, and automation . Leverage Splunk’s REST API for dynamic dashboarding and alerting. Splunk App Development & Integrations : Build custom apps and integrate Splunk with third-party tools (ITSM, CI/CD, Cloud platforms) . Mandatory Skills ✅ 6-8 years of Splunk development with proven ML use cases (anomaly detection, forecasting, clustering). ✅ Hands-on Splunk Observability Cloud (SignalFX/APM/IM/Log Observer) . ✅ Experience building unified dashboards for infrastructure (servers, Kubernetes, cloud, network) . ✅ Strong Python for ML (Pandas, Scikit-learn, TensorFlow/PyTorch is a plus) . ✅ Search optimization at scale (data models, accelerated reports, summary indexing) . ✅ Familiarity with DevOps practices (CI/CD pipelines, Terraform, Ansible). ✅ Experience with OpenTelemetry, Prometheus, and distributed tracing. ✅ Knowledge of IT operations, SRE (Site Reliability Engineering), and incident management. 🔹 Splunk certifications (MLTK, Observability, Core Certified Power User) . 🔹 Knowledge of MLOps pipelines (model training, deployment, monitoring). 🔹 Experience with OpenTelemetry, Prometheus, and Grafana integrations . Why This Role? This is not just a Splunk admin role —we need someone who can: 🔷 Build AI-driven monitoring to predict failures before they happen. 🔷 Turn observability data into actionable insights with ML-powered dashboards. 🔷 Optimize performance across hybrid cloud, containers, and legacy systems . If you’ve built ML models in Splunk and designed observability solutions for complex environments, this role is ideal for a Splunk expert who can optimize performance, enhance observability, and implement AI-driven monitoring solutions to improve system reliability and efficiency

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0 years

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india

Remote

Company: Pixeltalent Lab Location: Remote Duration: 1–3 Months Stipend: ₹15,000 (Fixed) Perks: Certificate | Letter of Recommendation | Hands-on Training About Pixeltalent Lab Pixeltalent Lab offers project-based internships designed to help aspiring machine learning engineers gain hands-on experience with model development, deployment, and optimization. Our Machine Learning Specialist Internship focuses on supervised and unsupervised learning, feature engineering, and real-world ML applications using Python-based tools. Role Overview As a Machine Learning Specialist Intern, you’ll work on designing, training, and evaluating machine learning models for classification, regression, and clustering tasks. You’ll gain practical exposure to data pipelines, model tuning, and deployment workflows using libraries like scikit-learn, TensorFlow, or PyTorch. Key Responsibilities Collect, clean, and preprocess structured and unstructured data Engineer features and select appropriate algorithms for ML tasks Train and evaluate models using scikit-learn, TensorFlow, or PyTorch Optimize model performance through hyperparameter tuning and validation Deploy models in test environments and monitor performance metrics Document experiments and maintain reproducible workflows using Git Requirements Pursuing or recently completed a degree in Machine Learning, Data Science, Computer Science, or related field Proficiency in Python and ML libraries such as scikit-learn, TensorFlow, or PyTorch Strong understanding of supervised and unsupervised learning techniques Familiarity with data preprocessing, feature engineering, and model evaluation Basic knowledge of Git and collaborative development practices Analytical mindset with attention to detail Ability to work independently and meet project deadlines What You’ll Gain Practical experience in machine learning model development and deployment Internship Completion Certificate Letter of Recommendation for top performers Exposure to real-world datasets and ML workflows A portfolio of trained models, notebooks, and deployment scripts

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india

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Company: Pixeltalent Lab Location: Remote Duration: 1–3 Months Stipend (Top Performers): ₹15,000 Perks: Certificate | Letter of Recommendation | Hands-on Training About Pixeltalent Lab Pixeltalent Lab offers project-based internships designed to help aspiring AI engineers and researchers gain practical experience. Our Artificial Intelligence Internship focuses on real-world applications of AI, including model development, data processing, and intelligent system design. Role Overview As an Artificial Intelligence Intern, you’ll work on designing and implementing AI models using Python and popular frameworks. You’ll contribute to tasks such as data preprocessing, algorithm development, and performance evaluation across live projects. Key Responsibilities Develop and test AI models using libraries such as TensorFlow, PyTorch, or OpenCV Work on projects involving computer vision, NLP, or recommendation systems Preprocess and analyze structured and unstructured data Implement algorithms for classification, clustering, and prediction Optimize model accuracy and performance Document workflows and collaborate with cross-functional teams Requirements Pursuing or recently completed a degree in Computer Science, AI, Data Science, or related field Proficiency in Python and AI/ML libraries Understanding of deep learning, neural networks, and supervised/unsupervised learning Familiarity with Jupyter Notebooks and version control (Git) Strong analytical and problem-solving skills Ability to work independently and meet project deadlines What You’ll Gain Hands-on experience with AI model development and deployment Internship Completion Certificate Letter of Recommendation for top performers Exposure to real-world AI applications and datasets A portfolio of AI projects and documented case studies

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india

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Company: Pixeltalent Lab Location: Remote Duration: 1–3 Months Stipend: ₹15,000 (Fixed) Perks: Certificate | Letter of Recommendation | Hands-on Training About Pixeltalent Lab Pixeltalent Lab offers project-based internships designed to help aspiring machine learning engineers gain hands-on experience in model development, deployment, and optimization. Our Machine Learning Engineer Internship focuses on supervised and unsupervised learning, feature engineering, and real-world ML applications using Python-based tools. Role Overview As a Machine Learning Engineer Intern, you’ll work on designing, training, and evaluating machine learning models for classification, regression, and clustering tasks. You’ll gain practical exposure to data pipelines, model tuning, and deployment workflows using libraries like scikit-learn, TensorFlow, or PyTorch. Key Responsibilities Collect, clean, and preprocess structured and unstructured data Engineer features and select appropriate algorithms for ML tasks Train and evaluate models using scikit-learn, TensorFlow, or PyTorch Optimize model performance through hyperparameter tuning and validation Deploy models in test environments and monitor performance metrics Document experiments and maintain reproducible workflows using Git Requirements Pursuing or recently completed a degree in Machine Learning, Data Science, Computer Science, or related field Proficiency in Python and ML libraries such as scikit-learn, TensorFlow, or PyTorch Strong understanding of supervised and unsupervised learning techniques Familiarity with data preprocessing, feature engineering, and model evaluation Basic knowledge of Git and collaborative development practices Analytical mindset with attention to detail Ability to work independently and meet project deadlines What You’ll Gain Practical experience in machine learning model development and deployment Internship Completion Certificate Letter of Recommendation for top performers Exposure to real-world datasets and ML workflows A portfolio of trained models, notebooks, and deployment scripts

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Company: Pixeltalent Lab Location: Remote Duration: 1–3 Months Stipend (Top Performers): ₹15,000 Perks: Certificate | Letter of Recommendation | Hands-on Training About Pixeltalent Lab Pixeltalent Lab is committed to bridging the gap between academic learning and industry readiness. Our Data Analyst Internship offers a practical, project-driven experience where interns tackle real-world datasets, build analytical models, and deliver insights that matter. Role Overview As a Data Analyst Intern, you’ll work with diverse datasets, apply machine learning techniques, and uncover trends that drive strategic decisions. This internship is ideal for those looking to build a strong foundation in data science and analytics. Key Responsibilities Collect, clean, and preprocess data for analysis Apply statistical and machine learning techniques Build models for classification, regression, and clustering tasks Develop dashboards and visualizations using Python or Power BI Present actionable insights to internal stakeholders Collaborate with a team of peers on live data projects Requirements Currently pursuing or recently completed a degree in Computer Science, Data Science, Mathematics, or a related field Solid understanding of Python and key libraries: Pandas, NumPy, Scikit-learn Familiarity with machine learning algorithms and SQL Strong analytical and problem-solving abilities Eagerness to learn and grow in a fast-paced environment What You’ll Gain Real-world experience with industry-standard tools and datasets Internship Completion Certificate Letter of Recommendation for outstanding contributors Potential for full-time opportunities A portfolio of completed data science projects

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0 years

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gurugram, haryana, india

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Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Software Engineer II We are the global technology company behind the world’s fastest payments processing network. We are a vehicle for commerce, a connection to financial systems for the previously excluded, a technology innovation lab, and the home of Priceless®. We ensure every employee has the opportunity to be a part of something bigger and to change lives. We believe as our company grows, so should you. We believe in connecting everyone to endless, priceless possibilities. The Mastercard Launch program is aimed at early career talent, to help you develop skills and gain cross-functional work experience. Over a period of 18 months, Launch participants will be assigned to a business unit, learn and develop skills, and gain valuable on the job experience. Mastercard has over 2 billion payment cards issued by 25,000+ banks across 190+ countries and territories, amassing over 10 petabytes of data. Millions of transactions are flowing to Mastercard in real-time providing an ideal environment to apply and leverage AI at scale. The AI team is responsible for building and deploying innovative AI solutions for all divisions within Mastercard securing a competitive advantage. Our objectives include achieving operational efficiency, improving customer experience, and ensuring robust value propositions of our core products (Credit, Debit, Prepaid) and services (recommendation engine, anti-money laundering, fraud risk management, cybersecurity) Role Gather relevant information to define the business problem Creative thinker capable of linking AI methodologies to identified business challenges Develop AI/ML applications leveraging the latest industry and academic advancements Ability to work cross-functionally, and across borders drawing on a broader team of colleagues to effectively execute the AI agenda All About You : Demonstrated passion for AI competing in sponsored challenges such as Kaggle Previous experience with or exposure to: Deep Learning algorithm techniques, open source tools and technologies, statistical tools, and programming environments such as Python, R, and SQL Big Data platforms such as Hadoop, Hive, Spark, GPU Clusters for deep learning Classical Machine Learning Algorithms like Logistic Regression, Decision trees, Clustering (K-means, Hierarchical and Self-organizing Maps), TSNE, PCA, Bayesian models, Time Series ARIMA/ARMA, Recommender Systems - Collaborative Filtering, FPMC, FISM, Fossil Deep Learning algorithm techniques like Random Forest, GBM, KNN, SVM, Bayesian, Text Mining techniques, Multilayer Perceptron, Neural Networks – Feedforward, CNN, LSTM’s GRU’s is a plus. Optimization techniques – Activity regularization (L1 and L2), Adam, Adagrad, Adadelta concepts; Cost Functions in Neural Nets – Contrastive Loss, Hinge Loss, Binary Cross entropy, Categorical Cross entropy; developed applications in KRR, NLP, Speech and Image processing Deep Learning frameworks for Production Systems like Tensorflow, Keras (for RPD and neural net architecture evaluation), PyTorch and Xgboost, Caffe, and Theono is a plus Concentration in Computer Science Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

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10.0 years

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pune, maharashtra, india

On-site

Description and Requirements "At BMC trust is not just a word - it's a way of life!" Description And Requirements CareerArc Code CA-DN Hybrid "At BMC trust is not just a word - it's a way of life!" We are an award-winning, equal opportunity, culturally diverse, fun place to be. Giving back to the community drives us to be better every single day. Our work environment allows you to balance your priorities, because we know you will bring your best every day. We will champion your wins and shout them from the rooftops. Your peers will inspire, drive, support you, and make you laugh out loud! We help our customers free up time and space to become an Autonomous Digital Enterprise that conquers the opportunities ahead - and are relentless in the pursuit of innovation! Are you motivated and inspired by innovation? Are you ready to join a company that puts technology at the forefront of business transformation? If so, you’re the kind of person we’re looking for. Being an Innovation Catalyst requires a unique ability to identify, initiate and implement meaningful change. It’s about an unrelenting commitment to help customers make incredible things happen with technology. At BMC, we change how people work with and look at technology. We are Innovation Catalysts. BMC Helix is the market leader in Consolidated Service Desk and IT Service Management solutions, with development sites in California, Texas, Canada, Israel and India. Join a very successful business with market leading product lines. Be one of the members of the R&D team as we continue to grow our existing business and expand into adjacent markets. Here is how, through this exciting role, YOU will contribute to BMC Helix's and your own success: Lead the development of core features and modules for the Helix ITSM/ITOM platform. Architect, design, and implement microservices using modern frameworks and technologies like Java, Spring Boot, Kubernetes, and RESTful APIs. Ensure high-quality code by adhering to best practices and industry standards. Collaborate with Product Managers to understand requirements and align technical solutions with business goals. Mentor and guide junior developers, fostering a culture of innovation and technical excellence. Work closely with Quality Engineers to define robust testing strategies, including automated and performance testing. Drive innovation through R&D, focusing on enhancing AI-driven capabilities in areas like predictive analytics and automation. Analyze and resolve complex technical issues, ensuring scalability and performance of the product. Collaborate with DevSecOps teams to ensure seamless CI/CD pipelines and maintain product security standards. Participate in product deployment, upgrade, and security processes, ensuring compliance with industry regulations. Incorporate user feedback into product enhancements, ensuring alignment with customer needs and market trends. Act as a technical liaison for key customers during critical escalations. To ensure you’re set up for success, you will bring the following skillset & experience: Bachelor’s or master’s degree in computer science/IT, Engineering, or related field. 10+ years in software development, with at least 2+ years as Technical Lead or equivalent. Proficient in Java (11+), Spring Boot, RESTful API development, and Microservices architecture. Experience in designing and developing complex framework and platform solutions with practical use of design patterns. Expertise with unit/integration testing, test driven development and related modern best practices/technologies Experience with open-source Java frameworks such as OSGI, Spring, Hibernate, Maven, JSecurity, JMS, JPA, JTA, JDBC. Experience with server-side issues such as caching, clustering, persistence, security, SSO, state management, high scalability/availability, and failover. Experience implementing Business Process Management software and integrating complex enterprise systems. Experience with PostgreSQL, Oracle or MS-SQL databases and Aspect oriented architectures. Good understanding of web services and SOA standards like REST, SOAP, XML, etc. Good understanding of microservices architecture, including Kubernetes, Docker and Kafka Excellent communication skills: demonstrated ability to explain complex technical issues to both technical and non-technical audiences. Must have strong decision-making skills; take-charge personality, and the ability to drive a plan to completion. Experience with open-source participation and Apache projects, patent process, in depth knowledge of App server architectures and SaaS or PaaS enabling platforms is a big plus. Hands-on experience with container orchestration tools like Kubernetes and Docker. Knowledge of DevSecOps tools (e.g., Jenkins, Terraform, Helm, Ansible) and security practices. Familiarity with cloud platforms (AWS, Azure, GCP) and SaaS environments. Strong communication and leadership abilities. Problem-solving mindset with a customer-first approach. Ability to manage multiple priorities in a dynamic, fast-paced environment. Any experience in implementing AI\ML, Gen AI in enterprise applications is huge plus. Whilst these are nice to have, our team can help you develop in the following skills: Knowledge of ITIL/ITSM processes and tools. Our commitment to you! BMC’s culture is built around its people. We have 6000+ brilliant minds working together across the globe. You won’t be known just by your employee number, but for your true authentic self. BMC lets you be YOU! If after reading the above, You’re unsure if you meet the qualifications of this role but are deeply excited about BMC and this team, we still encourage you to apply! We want to attract talents from diverse backgrounds and experience to ensure we face the world together with the best ideas! BMC is committed to equal opportunity employment regardless of race, age, sex, creed, color, religion, citizenship status, sexual orientation, gender, gender expression, gender identity, national origin, disability, marital status, pregnancy, disabled veteran or status as a protected veteran. If you need a reasonable accommodation for any part of the application and hiring process, visit the accommodation request page. BMC Software maintains a strict policy of not requesting any form of payment in exchange for employment opportunities, upholding a fair and ethical hiring process. At BMC we believe in pay transparency and have set the midpoint of the salary band for this role at 4,542,800 INR. Actual salaries depend on a wide range of factors that are considered in making compensation decisions, including but not limited to skill sets; experience and training, licensure, and certifications; and other business and organizational needs. The salary listed is just one component of BMC's employee compensation package. Other rewards may include a variable plan and country specific benefits. We are committed to ensuring that our employees are paid fairly and equitably, and that we are transparent about our compensation practices. ( Returnship@BMC ) Had a break in your career? No worries. This role is eligible for candidates who have taken a break in their career and want to re-enter the workforce. If your expertise matches the above job, visit to https://bmcrecruit.avature.net/returnship know more and how to apply.

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4.0 years

0 Lacs

gurugram, haryana, india

On-site

Job Title: PostgreSQL Database Administrator (DBA) 📍 Location: Pune (Candidates must be based in Pune or willing to relocate. Interviews will be conducted face-to-face in Pune.) 🕒 Experience: 2–4 years 💰 Salary: Up to ₹10 LPA 👥 Openings: 20 ⚡ Note: Immediate joiners will be given preference Job Summary We are looking for an experienced PostgreSQL Database Administrator (DBA) to join our growing technology team. The role involves installation, configuration, monitoring, maintenance, performance tuning, and security of PostgreSQL databases. The DBA will play a critical role in ensuring high availability, scalability, and integrity of our databases, while collaborating closely with development, operations, and infrastructure teams. Key Responsibilities Database Management & Operations Install, configure, and maintain PostgreSQL servers across production and non-production environments. Perform proactive health checks, monitoring, and maintenance for database performance and uptime. Implement backup & recovery strategies (pg_dump, pg_basebackup, WAL archiving, PITR). Manage PostgreSQL replication (streaming/logical) and clustering for HA/DR. Troubleshoot performance issues (query tuning, indexing, resource utilization). Execute routine maintenance (vacuum, reindex, analyze). Manage schema changes, user roles, and permissions in alignment with security policies. Plan and implement database upgrades, patching, and migrations. Performance Tuning & Optimization Optimize SQL queries and resolve performance bottlenecks. Leverage tools like pg_stat_activity, pg_stat_statements, pgBadger, Prometheus, and Grafana. Collaborate with developers on schema design and query optimization. Security & Compliance Enforce database security best practices. Monitor and respond to security incidents. Ensure compliance with data protection standards and regulations. Collaboration & Support Partner with developers, DevOps, and infrastructure teams for deployments and troubleshooting. Provide PostgreSQL expertise and mentoring within the team. Participate in on-call support for production issues. Maintain clear documentation and runbooks. Automation Develop scripts (Bash, Python) to automate DBA tasks. Implement automation for database provisioning, monitoring, and maintenance. Qualifications Bachelor’s degree in Computer Science/IT or related field. 2–7 years of hands-on PostgreSQL DBA experience in production environments. Strong knowledge of PostgreSQL internals (VACUUM, WAL, connection pooling). Proficiency in SQL and PL/pgSQL. Experience with replication (streaming/logical) & HA tools (Patroni, Repmgr, Pgpool-II). Expertise in backup, recovery, and disaster recovery planning. Strong Linux/Unix administration and shell scripting skills. Familiarity with monitoring tools (pgAdmin, Prometheus, Grafana, Datadog, Nagios). Excellent troubleshooting, problem-solving, and communication skills. Preferred Skills (Good to Have) Cloud experience: AWS RDS, GCP Cloud SQL, Azure PostgreSQL. Exposure to other databases (Oracle, MySQL) or NoSQL systems. Experience with version control (Git, Liquibase). Hands-on with database migration projects across platforms. 📩 Interested candidates can share their resumes at: 👉 saundrya.patil@telesourcenow.com

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15.0 years

0 Lacs

greater hyderabad area

On-site

Vertafore is a leading technology company whose innovative software solution are advancing the insurance industry. Our suite of products provides solutions to our customers that help them better manage their business, boost their productivity and efficiencies, and lower costs while strengthening relationships. Our mission is to move InsurTech forward by putting people at the heart of the industry. We are leading the way with product innovation, technology partnerships, and focusing on customer success. Our fast-paced and collaborative environment inspires us to create, think, and challenge each other in ways that make our solutions and our teams better. We are headquartered in Denver, Colorado, with offices across the U.S., Canada, and India. Job Description We are in search of the world’s most creative and experienced engineering leaders. We embrace entrepreneurs as well as those who come from more established organizations. As a key member of the Sr Manager of database operations leadership team, you will play a pivotal role in the strategic and operational management of our global database systems. Partnering closely with stakeholders across engineering, product, and business units, you will architect scalable and resilient solutions that support our enterprise platforms and strategic producer partners. This role requires strong leadership, technical, and operational skills to ensure high availability, security, scalability, and optimal performance of critical business systems. You will lead multiple teams of exceptional engineers, provide direction on technical architecture, influence cross-functional initiatives, and contribute to our technology strategy and ensure that the standard operating procedures are followed and revised as per needs. We’re looking for someone with a deep understanding of database systems, distributed architectures, and enterprise SaaS platforms—someone who is both a hands-on technical expert and an inspiring leader. Our culture fosters collaboration, innovation, integrity, mentorship, commitment to success and FUN and you will be adding your creativity and energy to it. Our managers are dedicated to growing their people and offering an opportunity that allows you to make impact in your career. Core Requirements And Responsibilities Essential job functions included but are not limited to the following: Lead the database operations strategy to support our growing portfolio of products with a focus on performance, security scalability, and high availability. Lead a team of DBA’s and database engineers promoting a culture of accountability, technical excellence, and continuous improvement. Collaborate cross-functionally with product, platform engineering, DevOps, and SRE to ensure our data infrastructure enables high-quality customer experiences. Conduct regular performance reviews, providing feedback and professional growth. Coordinate with the TAG team for recruiting, interviewing and hiring new team members as needed. Define and maintain the policies, standards and procedures for database management and operations. Drive architectural decisions for data storage, replication, disaster recovery, and reliability across cloud and hybrid environments. Set the vision for database automation, monitoring, observability, and incident response. Build and mentor high-performing teams through coaching, career development, technical guidance and promoting a culture of accountability, technical excellence, and continuous improvement. Optimize our use of both relational and NoSQL technologies in alignment with product scalability and user needs. Own the health and lifecycle of all database environments. Oversee the design, implementation, and management of SQL Server database instances (on-premises and cloud). Ensure high availability, performance tuning, and reliability of database systems. Manage routine database maintenance, patching, upgrades, and backups. Implement and enforce security policies, including encryption, access control, and auditing. Lead performance tuning initiatives, including indexing strategies, query optimization, and resource management. Manage capacity planning and resource scaling. Develop and maintain robust disaster recovery plans and backup/recovery processes. Ensure regular testing and compliance with recovery point and recovery time objectives (RPO/RTO). Establish and maintain key performance indicators (KPIs) for database operations and provide regular reports to senior management Implement robust monitoring and alerting mechanisms to quickly detect and revolve database related issues Knowledge, Skills And Abilities Bachelor’s degree in computer science, Information Systems, or a related field (Master’s preferred). Overall, 15 years of experience with 10+ years of hands-on experience with Microsoft SQL Server administration (2016 and newer). Strong technical knowledge of relational (e.g., SQL Server, Oracle, PostgreSQL, MySQL) and non-relational databases (e.g., Redis, MongoDB, Cassandra). Will be beneficial 5+ years of team leadership or management experience in a database operations role. Familiarity with Dyna trace Proven expertise in designing and running large-scale, distributed database systems in high-growth environments. Hands-on experience with modern cloud infrastructure (AWS preferred) Deep knowledge of database internals, Always on Availability Groups, replication, clustering, and security features. Experience with high-availability and disaster recovery strategies. Strong experience with T-SQL, PowerShell, and SQL Server performance monitoring tools. Familiarity with SQL Server in cloud platforms (e.g., Azure SQL, AWS RDS for SQL Server). Excellent communication, problem-solving, and decision-making skills. Are energetic, effectively managing relationships (up, down, across) and able to roll-up their sleeves to get the job done Have an ability to influence across boundaries and at all levels of the organization Think strategically to help drive features and services for short and long-term growth Can create a fun, fast paced, motivating and rewarding environment for their teams and the organization Attract, build and retain a highly engaged and capable development teams that can deliver on our technology and business strategies Think End-to-End by connecting all the pieces of the business Provide strong people management: attracting, retaining, inspiring and growing individuals; demonstrating a passion for people’s development and mobility Mentor and inspire others to raise the bar for everyone around them Are creative turning problems and solutions on their heads to come up with better designs, better technical solutions, better products We love development managers that: Bring an unwavering passion for managing the dynamics of a fast-paced environment Communicate effectively cross-functionally across various teams, organizations and internal and external stakeholders to drive engineering effort Are self-motivated and excellent problem-solvers Are driven to improve, personally and professionally Love to collaborate with their peers, designing pragmatic solutions Effectively lead and manage change within their area of responsibility as well as across the business Have a cooperative, collaborative, open and flexible mindset Preferred Microsoft certifications (e.g., MCSE: Data Management and Analytics, Azure Database Administrator Associate). Experience in DevOps practices, automation (AWS), and CI/CD for database deployments. Exposure to data warehousing, SSIS/SSRS/SSAS, and data governance practices.

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