1516 Clustering Jobs - Page 2

Tata Tele Business Services is looking for Cluster Lead to join our dynamic team and embark on a rewarding career journey A Cluster Lead is responsible for overseeing and managing a group or cluster of related teams or departments within an organization The primary objective is to ensure efficient operations, productivity, and the achievement of strategic goals within the assigned cluster Key Responsibilities:Team Leadership:Lead and manage a team of managers or supervisors responsible for various functions within the cluster Provide guidance, mentorship, and support to team members, fostering a positive and collaborative work environment Strategic Planning:Collaborate with senior management to develop and execute cluster-specific strategies aligned with the organization's overall goals Monitor and report on progress toward strategic objectives Operations Management:Oversee the day-to-day operations and processes of the cluster, ensuring efficiency and effectiveness Identify opportunities for process improvement and implement solutions Resource Allocation:Allocate resources, including personnel, budget, and technology, to meet the cluster's operational requirements Performance Monitoring:Establish key performance indicators (KPIs) for the cluster and ensure teams are working towards these targets Regularly assess performance and take corrective actions as needed Communication and Collaboration:Foster communication and collaboration both within the cluster and with other departments or clusters Ensure the sharing of best practices and knowledge transfer Risk Management:Identify potential risks and challenges within the cluster's operations and develop strategies to mitigate them Budget Management:Develop and manage the cluster's budget, ensuring cost control and resource optimization

Must Have Skills At least 9 years of experience in MS SQL Server Database administration In-depth knowledge of SQL Server architecture, internals, and performance tuning techniques Strong T-SQL Skills for query optimizations and performance Experience with at least SQL Server versions from SQL Server 2022/2019/2016/2014 Strong knowledge of Windows Failover Cluster Server and SQL Server AlwaysOn Excellent problem-solving skills, attention to detail, and analytical abilities Strong communication and interpersonal skills, with the ability to work effectively in a team environment Certification on MS SQL Server Adminsitration. Skills: t-sql,ms sql server database administration,communication,problem-solving,performance tuning,windows failover cluster server,query optimizations,attention to detail,sql server alwayson,sql server architecture,interpersonal skills,windows failover clustering,alwayson availability groups,complex query optimization,analytical abilities,microsoft sql server

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

6+ yrs of exp. in Hyper-v cluster,MS cluster Administration,Hyper-V replication,S2D cluster, Azure stack HCI,Networking,Performance Tuning,Patch Management,Windows Upgrades into production environment,including customer facing/customer support roles.

Project Role : Technology Platform Engineer Project Role Description : Creates production and non-production cloud environments using the proper software tools such as a platform for a project or product. Deploys the automation pipeline and automates environment creation and configuration. Must have skills : Red Hat OpenShift Good to have skills : Ansible on Microsoft Azure, Linux, KubernetesMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Technology Platform Engineer, you will be responsible for creating both production and non-production cloud environments utilizing appropriate software tools tailored for specific projects or products. Your typical day will involve deploying automation pipelines and automating the processes of environment creation and configuration, ensuring that all systems are optimized for performance and reliability. You will collaborate with various teams to ensure seamless integration and functionality across platforms, contributing to the overall success of the projects you are involved in. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Assist in troubleshooting and resolving technical issues related to cloud environments.- Collaborate with cross-functional teams to ensure alignment on project goals and deliverables.- Maintain & Run Management:Perform regular operational activities, including monitoring, troubleshooting and configuration changes. Operations of infrastructure and service stacks in Cloud. System management (upgrading, patching and tuning), compliance, capacity and performance management. Installation and upgrade of third-party products. Maintain and ensure high-availability on server or application level (through clustering or stand-by hosts).- Solution Deployment:Build and manage infrastructure resources, installation of Linux Operating System (Red Hat) on physical and virtual servers, on-prem and in cloud [Azure/GCP] using IaaS, PaaS and other technologies. Customer Support:Deliver exceptional support to internal and external stakeholders, ensuring high satisfaction level. Security & Vulnerability Management:Ensure compliance by onboarding all devices to respective security tools and, proactively improve stability and performance. Incident Response:Lead the investigation and response to performance or security issues, including root cause analysis and implementing corrective actions. Expertise & Development:Stay up to date with the latest technology trends and proactively innovate current approaches and solutions. Focus on automation opportunities.- Collaboration:Work closely with other areas to ensure seamless integration on technologies and processes. Professional & Technical Skills: - Must To Have Skills: Proficiency in Red Hat OpenShift.- Good To Have Skills: Experience with Linux, Kubernetes, Ansible on Microsoft Azure.- Strong understanding of cloud infrastructure and services.- Experience with automation tools and scripting languages.- Familiarity with container orchestration and management. 3+ years of experience in System Administration in a highly critical environment.- Expertise in Red Hat Linux 8 and 9. (Satellite, installation, system monitoring and maintenance, backup and recovery, tuning and troubleshooting, etc.)- Experience with deployment and operation of cloud resources (GCP, Azure)- Proficiency in automation of installation and deployment (Red Hat Satellite, Ansible, Terraform )- Experience with containerization and related tools (K8s, ArgoCD, Podman, Open Shift )- Experience in Server Clustering, Monitoring tools, DB administration, Network, Authentication, IP Protocol, Encryption and Active Directory is a plus.- Understanding and practical experience of ITIL framework- High commitment to delivery; adaptability & flexibility; strong sense of self-responsibility & ownership.- Drive to gain expertise on new technologies.- Good communication and analytical skills.- Proficiency in written and spoken English. Qualification 15 years full time education

Job Summary As an Associate Manager in Spend Analytics and Project Management, you will be responsible for leading the design, development, and implementation of AI/ML-powered procurement and analytics solutions. You will be working closely with cross-functional teams to conceptualize and deploy platforms that identify cost-saving opportunities, enhance supplier management, and deliver business intelligence to enterprise clients. Roles & Responsibilities Lead end-to-end project management of spend analytics and procurement automation solutions. Implement AI-driven sourcing and savings assessment engines across multiple spend categories including IT, Temp Labor, and Travel. Drive the architecture of GenAI-integrated platforms for PO-Contract matching and compliance monitoring. Build and deliver business cases, custom demos, and POCs for prospective clients during pre-sales cycles. Collaborate with clients to understand pain points and tailor BI dashboards and tools that drive actionable insights. Drive client success through continuous program governance, risk mitigation, and value realization. Mentor junior team members and lead multi-disciplinary teams for project execution and delivery. Qualification Professional & Technical Skills Must Have Skills : Project Management for Spend Analytics Expertise in Spend Analytics and NLP-powered classification tools Contract analytics, supplier clustering, and MDM frameworks Good to Have Skills : ML/NLP tools for text classification and anomaly detection Cloud platforms such as AWS and Databricks SQL/NoSQL and data governance frameworks

Skill required: Delivery - Advanced Analytics Designation: I&F Decision Sci Practitioner Specialist Qualifications: Master of Engineering/Masters in Business Economics Years of Experience: 7 to 11 years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do Data & AI You will be a core member of Accenture Operations global Data & AI group, an energetic, strategic, high-visibility and high-impact team, to innovate and transform the Accenture Operations business using machine learning, advanced analytics to support data-driven decisioning. What are we looking for Extensive experience in leading Data Science and Advanced Analytics delivery teams Strong statistical programming experience Python or working knowledge on cloud native platforms like AWS Sagemaker is preferred Azure/ GCP Experience working with large data sets and big data tools like AWS, SQL, PySpark, etc. Solid knowledge in at least more than two of the following Supervised and Unsupervised Learning, Classification, Regression, Clustering, Neural Networks, Ensemble Modelling (random forest, boosted tree, etc) Experience in working with Pricing models is a plus Experience in atleast one of these business domains:Energy, CPG, Retail, Marketing Analytics, Customer Analytics, Digital Marketing, eCommerce, Health, Supply Chain Extensive experience in client engagement and business development Ability to work in a global collaborative team environment Quick Learner and Independently deliver results. Qualifications:Masters / Ph.D. Computer science, Engineering, Statistics, Mathematics, Economics or related disciplines. Roles and Responsibilities: Building data science models to uncover deeper insights, predict future outcomes, and optimize business processes for clients. Utilizing advanced statistical and machine learning techniques to develop models that can assist in decision-making and strategic planning. Refining and improving data science models based on feedback, new data, and evolving business needs. Data Scientists in Operations follow multiple approaches for project execution from adapting existing assets to Operations use cases, exploring third-party and open-source solutions for speed to execution and for specific use cases to engaging in fundamental research to develop novel solutions. Data Scientists are expected to collaborate with other data scientists, subject matter experts, sales, and delivery teams from Accenture locations around the globe to deliver strategic advanced machine learning / data-AI solutions from design to deployment. Qualification Master of Engineering,Masters in Business Economics

Skill required: Delivery - Advanced Analytics Designation: I&F Decision Sci Practitioner Assoc Mgr Qualifications: Master of Engineering/Masters in Business Economics Years of Experience: 10 to 14 years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do Data & AI You will be a core member of Accenture Operations global Data & AI group, an energetic, strategic, high-visibility and high-impact team, to innovate and transform the Accenture Operations business using machine learning, advanced analytics to support data-driven decisioning. What are we looking for Extensive experience in leading Data Science and Advanced Analytics delivery teams Strong statistical programming experience Python or working knowledge on cloud native platforms like AWS Sagemaker is preferred Azure/ GCP Experience working with large data sets and big data tools like AWS, SQL, PySpark, etc. Solid knowledge in at least more than two of the following Supervised and Unsupervised Learning, Classification, Regression, Clustering, Neural Networks, Ensemble Modelling (random forest, boosted tree, etc) Experience in working with Pricing models is a plus Experience in atleast one of these business domains:Energy, CPG, Retail, Marketing Analytics, Customer Analytics, Digital Marketing, eCommerce, Health, Supply Chain Extensive experience in client engagement and business development Ability to work in a global collaborative team environment Quick Learner and Independently deliver results. Qualifications:Masters / Ph.D. Computer science, Engineering, Statistics, Mathematics, Economics or related disciplines. Roles and Responsibilities: Leading team of data scientists to build and deploy data science models to uncover deeper insights, predict future outcomes, and optimize business processes for clients. Refining and improving data science models based on feedback, new data, and evolving business needs. Analyze available data to identify opportunities for enhancing brand equity, improving retail margins, achieving profitable growth, and expanding market share for clients. Data Scientists in Operations follow multiple approaches for project execution from adapting existing assets to Operations use cases, exploring third-party and open-source solutions for speed to execution and for specific use cases to engaging in fundamental research to develop novel solutions. Data Scientists are expected to collaborate with other data scientists, subject matter experts, sales, and delivery teams from Accenture locations around the globe to deliver strategic advanced machine learning / data-AI solutions from design to deployment. Qualification Master of Engineering,Masters in Business Economics

Skill required: Delivery - Advanced Analytics Designation: I&F Decision Sci Practitioner Sr Analyst Qualifications: Any Graduation Years of Experience: 5 - 8 Years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do Data & AI You will be a core member of Accenture Operations global Data & AI group, an energetic, strategic, high-visibility and high-impact team, to innovate and transform the Accenture Operations business using machine learning, advanced analytics to support data-driven decisioning. What are we looking for Extensive experience in leading Data Science and Advanced Analytics delivery teams Strong statistical programming experience Python or working knowledge on cloud native platforms like AWS Sagemaker is preferred Azure/ GCP Experience working with large data sets and big data tools like AWS, SQL, PySpark, etc. Solid knowledge in at least more than two of the following Supervised and Unsupervised Learning, Classification, Regression, Clustering, Neural Networks, Ensemble Modelling (random forest, boosted tree, etc) Experience in working with Pricing models is a plus Experience in atleast one of these business domainsEnergy, CPG, Retail, Marketing Analytics, Customer Analytics, Digital Marketing, eCommerce, Health, Supply Chain Extensive experience in client engagement and business development Ability to work in a global collaborative team environment Quick Learner and Independently deliver results. QualificationsMasters / Ph.D. Computer science, Engineering, Statistics, Mathematics, Economics or related disciplines. Roles and Responsibilities: Extensive experience in leading Data Science and Advanced Analytics delivery teams Strong statistical programming experience Python or working knowledge on cloud native platforms like AWS Sagemaker is preferred Azure/ GCP Experience working with large data sets and big data tools like AWS, SQL, PySpark, etc. Solid knowledge in at least more than two of the following Supervised and Unsupervised Learning, Classification, Regression, Clustering, Neural Networks, Ensemble Modelling (random forest, boosted tree, etc) Experience in working with Pricing models is a plus Experience in atleast one of these business domainsEnergy, CPG, Retail, Marketing Analytics, Customer Analytics, Digital Marketing, eCommerce, Health, Supply Chain Extensive experience in client engagement and business development Ability to work in a global collaborative team environment Quick Learner and Independently deliver results. QualificationsMasters / Ph.D. Computer science, Engineering, Statistics, Mathematics, Economics or related disciplines. Qualification Any Graduation

Job Description: Linux Specialist Section: Linux (RHEL, SUSE, Ubuntu, Almalinux, RockyLinux) Brief Background : The role requires a professional with a minimum of 3 years of hands-on experience in core Linux environments. Candidates must be RHCSA and RHCE certified and well-versed in enterprise-grade systems, SAP environments, clustering, load balancing, and handling government/custom project infrastructures. This is a blended operational support role involving proactive system maintenance, troubleshooting, automation, and secure environment management. Location : Nashik / Mumbai ROLES AND RESPONSIBILITIES : • Own customer/user OS level issues troubleshooting and provide timely solutions. • Thorough understanding and handling of incident/change/service tickets. • Update logs and documentation related to incidents, problems, and changes. • Performance tuning of OS, Webserver, Applications, and Databases. • Installation, configuration, and maintenance of Linux servers, mail servers, DNS, Apache, Tomcat etc. • Implement, Configuration, Tuning and support OS clustering (PCS, CRM) and load balancing (e.g., HAProxy, BigIP F5, other Enterprise LB etc). • Basic configuration and operational support for WAF & Load Balancers. • Participate in DR drills and support BCP activities. • Ensure system compliance, server hardening, CIS benchmarking and VA/PT closure. • Hands-on experience with centralized authentication (LDAP, AD, MFA). • Maintain patch management, antivirus, DLP, SIEM,backup agents as per project requirements. • Support storage connectivity and protocols (CIFS, ISCSI, NFS, FC, FCOE). • Develop or maintain automation scripts (e.g., Bash, Python, Ansible). • Prepare RCA and implement permanent fixes for recurring issues. • Work across various virtualization and cloud platforms (VMware, Xen, Azure etc). • Adhere to SLAs and escalation processes, maintaining process compliance. • Additionally having backup tool knowledge such as Veeam, Commvault etc. ESSENTIAL KNOWLEDGE AND SKILLS REQUIRED : • Strong hands-on experience with RHEL, SUSE, CentOS, Ubuntu Linux distributions. • Excellent understanding of High Availability, Redundancy, and Disaster Recovery concepts. • Familiarity with scripting (Bash, Python) and automation tools (Ansible, Puppet). • Thorough understanding of performance monitoring and tuning. • Experience in securing government and enterprise environments. • Strong knowledge of TCP/UDP, session management, packet handling. • Good understanding of product licensing and subscription models. • Customer-focused with strong communication and troubleshooting skills. • Self-motivated, process-driven, and team-oriented. EDUCATIONAL QUALIFICATIONS : MBA-IT , B.E./B.Tech in Computer/Electronics/IT or M.C.A or higher from a recognized university. EXPERIENCE Minimum 3 years of hands-on experience in Linux system administration with proven skills in enterprise and secure environments.

India Information Technology (IT) Group Functions Job Reference # 312700BR City Hyderabad Job Type Full Time Your role This is a role for an experienced SRE proficient in Windows Infrastructure and platforms who has sound technical skills and hands on experience in maintaining and improving all aspects of the Windows server environment for all flavors of Windows from 2012 through to Windows 2022 and Lead a team in an enterprise environment. You will Lead a team in an enterprise environment. The infrastructure environment is a hybrid cloud environment that includes an interdependent combination of Linux and Windows servers, Windows desktops, and high performance data and storage networks. will work with the SRE and Infrastructure engineering teams to improve the firm’s hybrid cloud infrastructure be involved in engineering project work and operational support to increase overall supportability and reliability of the firm’s enterprise technology environment. primarily focus on Windows Server, home grown orchestration and automation tools that are powered by PowerShell, Python and Azure Pipelines, virtualization and enterprise storage technologies but there will also be significant opportunities to work with the wider set of technology platforms in use at the firm. In addition, understand business priorities; adequately prioritize work accordingly to meet project objectives drive for improvements and implement them in regional or global scale communicate and collaborate with other internal partners for planning and coordination of implementation to ensure work is completed in a timely manner you will be expected to drive the execution Your team The hosting multi compute team is a global organization within the Technology Services team providing technology infrastructure platforms to underpin our partners business applications. You will be part of the Windows hosting team, which has a global footprint and works with clients and wider team members spread across the world. Together we drive consistency across business divisions and optimize operations and support costs. You'll be working with the global Windows SRE team. As an SRE Lead, you will be instrumental in maintaining and supporting the hybrid cloud Windows Server estate across the globe and will continuously look for ways to improve the management of these servers through automation. Your expertise  degree with 12+ years of experience in supporting and managing large scale Windows Server Deployments (2022, 2019,2016, 2012)  good knowledge of Windows Server, Azure integration services, and related technologies (e.g., Active Directory, RBAC, Azure Policy, failover clustering) is required, as is a working knowledge of networking concepts  hands on experience with Windows DHCP server administration and Scope migrations., Windows DFS (Both Standalone and Active Directory) and SMB, File Servers, Share and NTFS Permission structure.  experience supporting virtualization platforms (e.g., Hyper-V and VMware), enterprise storage platforms, database platforms (e.g., Microsoft SQL Server), and integration with cloud service providers (e.g., AWS, Azure, GCP) is also beneficial  understanding of PowerShell including an understanding of its underlying design, is required. Experience in Python and C# is preferred.  experience creating and maintaining CD Pipelines and IaC (Infrastructure as Code) deployments using Azure DevOps or GitLab  possess excellent verbal and written communication skills in English. Have worked in an agile setup and familiar with the Agile Manifesto  basic understanding of the Banking and Finance industries with previous job experience a plus. Exposure to enterprise environment ITIL based processes know-how , Issue Management and effective escalation management , Global User support exposure  familiar with Agile and SRE practices About us UBS is the world’s largest and the only truly global wealth manager. We operate through four business divisions: Global Wealth Management, Personal & Corporate Banking, Asset Management and the Investment Bank. Our global reach and the breadth of our expertise set us apart from our competitors.. We have a presence in all major financial centers in more than 50 countries. Join us At UBS, we embrace flexible ways of working when the role permits. We offer different working arrangements like part-time, job-sharing and hybrid (office and home) working. Our purpose-led culture and global infrastructure help us connect, collaborate, and work together in agile ways to meet all our business needs. From gaining new experiences in different roles to acquiring fresh knowledge and skills, we know that great work is never done alone. We know that it's our people, with their unique backgrounds, skills, experience levels and interests, who drive our ongoing success. Together we’re more than ourselves. Ready to be part of #teamUBS and make an impact? Contact Details UBS Business Solutions SA UBS Recruiting Disclaimer / Policy statements UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.

Description Unleash your passion for innovation at the forefront of artificial intelligence! We are seeking talented applied scientists who are driven to revolutionize customer experiences through technologies. Join our team and embark on a journey to redefine the boundaries of machine learning, deep learning, reinforcement learning, and large language models (LLMs). At our team, you'll have the opportunity to tackle complex challenges across various domains, from optimizing marketing strategies to enhancing delivery time predictions. Whether your expertise lies in teaching machines to learn and adapt, building intelligent systems that interact using human-like language, or creating seamless user experiences, we offer a role that aligns with your skills and ambitions. Our Full-time Positions Span Several Key Areas, Including Machine Learning: Unleash the power of machine learning theory through experimentation and innovation. Leverage techniques such as random forests, Bayesian networks, ensemble learning, and clustering to develop learning systems capable of handling massive datasets and solving previously intractable problems. Reinforcement Learning: Drive advancements in reinforcement learning by developing algorithms that enable systems to make sequential decisions, learn from their environment, and optimize performance in dynamic, complex scenarios. Apply your expertise to create intelligent systems that learn and adapt in real time. Large Language Models (LLMs): Work on state-of-the-art LLMs to push the boundaries of natural language understanding and generation. Develop and deploy models that can comprehend, generate, and interact using human-like language, enabling a wide range of application-oriented solutions. Natural Language Processing and Speech Technologies: Engage with research in natural language processing. We are hiring in all areas of spoken language understanding, including NLP, NLU, ASR, and text-to-speech (TTS), to tackle complex challenges in human-computer interaction. Computer Vision and Robotics: Develop solutions where visual input enhances customer experiences. Work with advanced technology, focusing on highly targeted use cases to launch products that offer innovative and practical solutions to real-world problems. Join us and be part of a team that is redefining the future of artificial intelligence. Embrace the opportunity to invent, design, and implement state-of-the-art technologies that drive impactful outcomes and create unforgettable customer experiences. Key job responsibilities Access and work with vast datasets containing billions of images, videos, and other forms of data to build large-scale, high-impact systems. Analyze and model terabytes of text, images, and various data types to tackle real-world problems, translating business and functional requirements into rapid prototypes or proofs of concept. Lead the design and development of end-to-end systems, taking ownership of solutions from concept to deployment. Write technical white papers, develop technical roadmaps, and drive production-level projects that support critical initiatives. Collaborate closely with business partners to develop innovative solutions and deploy them into production, solving complex business problems. Engage with diverse teams and cross-functional groups to address and solve complex challenges, driving value and efficiency across the organization. Your work will push the boundaries of what's possible and deliver technologies that enhance customer experiences worldwide. Basic Qualifications Master's degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field Experience in solving business problems through machine learning, data mining and statistical algorithms Experience in designing experiments and statistical analysis of results Experience researching about machine learning, deep learning, NLP, computer vision, data science Preferred Qualifications Experience implementing algorithms using both toolkits and self-developed code Have publications at top-tier peer-reviewed conferences or journals 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. Company - ADCI - Karnataka Job ID: A2997182

Location: Haris & Co, Kerala Job Type: Full-Time Experience Level: 3+ Years in SEO (Agency or In-house) Key Responsibilities Conduct offline SEO training sessions as per the course curriculum Mentor students on on-page SEO, off-page SEO, technical SEO, AEO, Semantic SEO, Entity SEO, Enterprise SEO and SEO tools Guide students in real-time SEO projects, website audits, and case studies Stay updated with Google and other search engines algorithms updates and integrate them into training Evaluate student progress, Assign practical tasks and provide actionable feedback Organize SEO workshops, VIVA, challenges, and hackathons on HACA Collaborate with academic and marketing teams to align learning with trends Must Have Skills Proficiency in tools like Google Search Console, Google Analytics, SEMrush, Ahrefs, Moz, Screaming Frog, etc. Good understanding of content strategy, keyword clustering, topical authority, schema, and SEO copywriting Good communication and mentoring skills Ability to simplify complex SEO concepts for beginner level students Job Types: Full-time, Permanent Schedule: Day shift Work Location: In person

Manager EXL/M/1364660 ServicesGurgaon Posted On 27 May 2025 End Date 11 Jul 2025 Required Experience 4 - 8 Years Basic Section Number Of Positions 5 Band C1 Band Name Manager Cost Code D010938 Campus/Non Campus NON CAMPUS Employment Type Permanent Requisition Type Backfill Max CTC 20.0000 - 30.0000 Complexity Level Not Applicable Work Type Hybrid – Working Partly From Home And Partly From Office Organisational Group Analytics Sub Group Banking & Financial Services Organization Services LOB Services SBU Analytics Country India City Gurgaon Center EXL - Gurgaon Center 38 Skills Skill RISK ANALYTICS PYTHON SQL PYSPARK CREDIT CARDS STRATEGY Minimum Qualification B.TECH/B.E Certification No data available Job Description Responsibilities : Work in the capacity of Individual contributor in the project. Take lead in executing complex tasks and engage with the client to develop an understanding of needs and deliverables. Identify relevant data sources and sets to mine for client business needs. Analyze data for trends and patterns, and interpret data with a clear objective in mind. Research and devise innovative statistical/machine learning models for data analysis. Communicate analytic solutions to senior stakeholders. Candidate Profile: 4– 9 years of experience in data science position (preferably in Banking and Financial Services). Master's degree in economics, mathematics, engineering, computer science, operations research or related areas is preferred; candidates with BA/BS degrees from the top tier academic institutions are also welcome to apply.Experience in programming in Python, SQL and/or SAS. Understanding of basic statistical techniques like t-tests, chi-square tests, hypothesis testing, regression analysis, etc.Excellent understanding of machine learning techniques and algorithms, such as Classification, Clustering,Random Forest, XGBoost,GBM, Neural Networks, Keras. Industry experience related to data science will be preferred over academic/online projects or courses. Good communication and presentation skills. Excellent problem-solving skills. Workflow Workflow Type L&S-DA-Consulting

Req ID: 327365 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Linux/UNIX Lead Engineer to join our team in Hyderabad, Telangana (IN-TG), India (IN). Preferred Experience: Thorough technical knowledge of Linux/UNIX/AIX platforms (Ubuntu, RHEL/SuSE). Must be able to demonstrate deep technical troubleshooting and problem-solving skills. Expertise in UNIX heterogeneous platform environments, including Clustering, Backup operations, Patching and Activation, Technical skills in Network components are preferred (DNS, DHCP, TCP). Good fundamentals and technical hands-on experience in Linux/UNIX/AIX troubleshooting. Willingness to develop strong competencies in Linux/UNIX platform support. Knowledge of Shell scripting / Python/Ansible will be a plus. Excellent understanding of ITSM\ITIL processes and certification will be added advantage. Good communication, team building, and interpersonal skill are mandatory. Knowledge and experience in Migration methodologies and Migration tools like Double Take and other related industry-wide deployment/migration tools. Knowledge in Linux VHS V2V - Vmotion and Solaris Zones migration from SHS to SHS is preferred, Solid understanding of cloud computing, networking, and storage principles with a focus on AWS. Azure experience is a plus. Cloud administration, OS/server administration, patching, maintenance, and troubleshooting experience. Willing to work on multiple cloud platforms. Shell scripting and automation experience is a plus. Fundamental understanding of emerging technologies, including Containers and PaaS solutions Able to work on On-Call rotations Able to work independently in a project scenario. Experience handling P1/P2 calls and escalations Able to write quality KB articles, Problem Management articles, and SOPs/Runbooks Passion for delivering timely and outstanding customer service Able to Help L1/L2 staff in support Great written and oral communication skills with internal and external customers Basic Qualifications: 12+ years of overall operational experience 5+ years of experience working in a diverse cloud support environment in a 24*7 production support model 2+ years Scripting/APIs experience Preferred Certifications: Red Hat System Administration AWS SysOps Administrator/Developer/Solutions Architect Associate Certifications Azure Administrator Associate/Solution Architect Certifications GCP Cloud Enginee About NTT DATA NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

Req ID: 327368 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Cloud Engineer to join our team in Hydrabad, Telangana (IN-TG), India (IN). Preferred Experience: Knowledge of Windows 2003/2008/2012/2016/2019/2022 Servers (Must Have), Server installation, configuration, Active Directory Management (OU/GPO/Forest and domain config and etc), Hyper-V / Vmware - Deployment and management of hyper V VMs, Disk Administration: Shrink Partitions & Share Drives, Disk Quotas, DFS, Patch management, Troubleshooting skills in OS & Hyper-V related. Hand-on knowledge of various RAID technologies (RAID 0+1, RAID 1, RAID 5, etc.), Knowledge of Clustering (geo cluster, multimode passive/active). Working Knowledge of File and Print servers, Knowledge on server management tools, Log monitoring/maintenance, and Solid understanding of cloud computing, networking, and storage principles with a focus on AWS. Azure experience is a plus. Cloud administration, OS/server administration, patching, maintenance, and troubleshooting experience. Willing to work on multiple cloud platforms. Powershell, scripting, and automation experience. DevOps/scripting/Terraform experience is a plus. Fundamental understanding of emerging technologies, including Containers and PaaS solutions Able to work on On-Call rotations Able to work independently in a project scenario and do POCs. Experience handling P1/P2 calls and escalations Able to write quality KB articles, Problem Management articles, and SOPs/Run-books Passion for delivering timely and outstanding customer service Able to Help L1/L2 staff in support Great written and oral communication skills with internal and external customers Basic Qualifications: 12+ years of overall operational experience 5+ years of AWS/Azure experience 3+ years of experience working in a diverse cloud support environment in a 24*7 production support model 2+ years DevOps/scripting/APIs experience Preferred Certifications: AWS SysOps Administrator/Developer/Solutions Architect Associate Certifications Azure Administrator Associate/Solution Architect Certifications About NTT DATA NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

Assistant Manager EXL/AM/1265152 Digital SolutionsNoida Posted On 26 May 2025 End Date 25 Jun 2025 Required Experience 2 - 4 Years Basic Section Number Of Positions 3 Band B1 Band Name Assistant Manager Cost Code G090637 Campus/Non Campus NON CAMPUS Employment Type Permanent Requisition Type Backfill Max CTC 600000.0000 - 1000000.0000 Complexity Level Not Applicable Work Type Hybrid – Working Partly From Home And Partly From Office Organisational Group EXL Digital Sub Group Digital Solutions Organization Digital Solutions LOB Digital Delivery Practice SBU Xtrakto.AI Country India City Noida Center Noida - Centre 59 Skills Skill DATA SCIENCE - AI COMPUTRE VISION NLP Minimum Qualification B.TECH/B.E MCA MSC Certification No data available Job Description Job Responsibilities: Design, develop and implement solutions for a wide range of NLP use cases involving classification, extraction and search on unstructured text data Create and maintain state of the art scalable NLP solutions in Python/ Java/ Scala for multiple business problems. This involves: Choosing most appropriate NLP technique(s) based on business needs and available data Performing data exploration and innovative feature engineering Training and tuning a variety of NLP models / solutions which include regular expressions, traditional NLP models as well as SOTA transformer based models Augmenting models by integrating domain specific ontologies and/or external databases Reporting and Monitoring the solution outcome Work experience with document-oriented databases such as MongoDB Collaborate with ML engineering team to deploy NLP solutions in production - both on premise as well as cloud deployment Interact with clients and internal business teams to perform solution feasibility as well as design and develop solutions Open to working across different domains – Insurance, Healthcare and Financial Services etc. Required Skills: Experience (including graduate school) on training machine learning models, applying and developing text mining and NLP techniques Exposure to OCR and computer vision Experience in extracting content from documents is preferred Experience (including graduate school) with Natural Language Processing techniques is required Hands on experience with Natural Language Processing tools such as Stanford CORE-NLP, NLTK, spaCy, Gensim, Textblob etc. Experience/ Familiarity with document clustering in supervised un un-supervised scenarios Expertise in at least two of the state of the art techniques in NLP like BERT, GPT, XL Net etc. Applied experience of machine learning algorithms using Python Organized, self-motivated, disciplined and detail oriented Production level coding experience in Python is required Ability to read recent ML research papers and adapt those models to solve real-world problems Experience with any deep learning framework, including Tensorflow, Caffe, MxNet, Torch, Theano Experience with optimization on GPUs (a plus) Hands on experience with using cloud technologies on AWS/ Microsoft Azure is preferred Workflow Workflow Type Digital Solution Center

Job requisition ID :: 82238 Date: Jun 23, 2025 Location: Kolkata Designation: Associate Director Entity: Associate Director | SAP QM | Kolkata | SAP Your potential, unleashed. India’s impact on the global economy has increased at an exponential rate and Deloitte presents an opportunity to unleash and realize your potential amongst cutting edge leaders, and organizations shaping the future of the region, and indeed, the world beyond. At Deloitte, your whole self to work, every day. Combine that with our drive to propel with purpose and you have the perfect playground to collaborate, innovate, grow, and make an impact that matters. The team SAP is about much more than just the numbers. It’s about attesting to accomplishments and challenges and helping to assure strong foundations for future aspirations. Deloitte exemplifies the what, how, and why of change so you’re always ready to act ahead Your work profile. As a Manager in our SAP Team, you’ll build and nurture positive working relationships with teams and clients with the intention to exceed client expectations: - SAP QM Professional should have: End to end project implementation experience in SAP SD in atleast 12- 15 projects (excluding support projects). Must To Have Skills: Proficiency in SAP Quality Management (QM) Strong understanding of statistical analysis and machine learning algorithms Experience with data visualization tools such as Tableau or Power BI Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Qualifications Graduate degree (Science or Engineering) from premier institutes. Strong communication skills (written & verbal). Willingness to travel for short and long term durations. Your role as a leader At Deloitte India, we believe in the importance of leadership at all levels. We expect our people to embrace and live our purpose by challenging themselves to identify issues that are most important for our clients, our people, and for society and make an impact that matters. Actively focuses on developing effective communication and relationship-building skills Builds own understanding of our purpose and values; explores opportunities for impact Understands expectations and demonstrates personal accountability for keeping performance on track Understands how their daily work contributes to the priorities of the team and the business Demonstrates strong commitment to personal learning and development; acts as a brand ambassador to help attract top talent How you’ll grow At Deloitte, our professional development plan focuses on helping people at every level of their career to identify and use their strengths to do their best work every day. From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to help build world-class skills in addition to hands-on experience in the global, fast-changing business world. From on-the-job learning experiences to formal development programs at Deloitte University, our professionals have a variety of opportunities to continue to grow throughout their career. Explore Deloitte University, The Leadership Centre Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our purpose Deloitte is led by a purpose: To make an impact that matters . Every day, Deloitte people are making a real impact in the places they live and work. We pride ourselves on doing not only what is good for clients, but also what is good for our people and the Communities in which we live and work—always striving to be an organization that is held up as a role model of quality, integrity, and positive change. Learn more about Deloitte's impact on the world

Greetings from Sona Comstar!!! Please find the job Description in below. Company Details: Sona BLW Precision Forgings Ltd is an automotive technology company in India. It is primarily engaged in designing, manufacturing, and supplying high-quality mission-critical automotive components such as differential assemblies, gears, conventional and micro-hybrid starter motors, and others. Headquartered in Gurugram, India with 4,500 Employees, the company has 2 Business Verticals Driveline Business & Motor Business. With 10 Manufacturing Facilities in 4 Countries India, USA, China, Mexico the company focuses on Conventional Products like Differential Bevel Gears, Differential Assemblies, Portal Axle Gears, Starter Motors and EV Focused Products like Differential Assemblies, Reduction Gears, Traction Motors, Motor Controllers, E-Axles, Integrated Motor Controller Module. Our company is certified for Leading Industry Certifications like IATF 16949, ISO 14001, ISO 45001, ISO 50001, TPM, ENMS, OHSAS 18001, ASES, VQE. With significant production volumes since inception and leading market shares in our products we are supplying to most of the major global OEMs, geographically deriving most of the revenue from Outside India. Company Website: https://sonacomstar.com/ Experience: 3+ Years Qualification: B.E/B. Tech Location: Chennai – Padur Job Description: Position Responsibilities: Develop Python scripts for data manipulation, automation, and creating machine learning models. Implement and maintain AI/ML algorithms such as regression, classification, clustering, and neural networks. Build and deploy machine learning models using libraries like TensorFlow, Keras, scikit-learn, and PyTorch. Utilize Power BI to create interactive dashboards, reports, and data visualizations to communicate insights. Collaborate with cross-functional teams to gather requirements, develop data pipelines, and ensure effective use of ML models in business processes. Conduct linear regression analysis to identify trends and relationships in large datasets. Continuously optimize and improve existing machine learning models for better performance and scalability. Provide regular updates on model performance, conduct testing, and fine-tune the algorithms for enhanced accuracy. Document code and model development process to maintain transparency and support ongoing team development. Required Experience: 3-5 years of experience in Python programming, specifically for data analysis, automation, and machine learning. Strong knowledge of machine learning algorithms (e.g., linear regression, decision trees, random forests, SVM, etc.). Hands-on experience with Power BI for developing dashboards, reports, and business analytics solutions. Experience with data pre-processing, feature engineering, and model evaluation. Solid understanding of statistics and linear regression analysis, including interpreting results and deriving actionable insights. Familiarity with SQL and database management systems to extract, clean, and analyze data. Proven ability to work collaboratively in a team environment and communicate technical results to non-technical stakeholders. Desired Experience: Knowledge of big data technologies for handling large-scale datasets. Familiarity with business intelligence tools like Tableau, Qlik, or others, in addition to Power BI. Ability to apply advanced statistical techniques to improve model accuracy (e.g., regularization, cross-validation). Experience in deploying ML models to production environments and monitoring their performance over time. KEERTHANA S 7845793459

Responsibilities: * Design, develop, test & maintain full-stack applications using Python, React.JS, Node.JS, NestJS, TypeScript & NextJS with REST APIs on AWS/Azure/GCP cloud platforms. Annual bonus

We are looking for a team member within strategic forecasting team based out of Pune. Robust forecasting is a priority for businesses, as the product potential has major implications to a wide range of disciplines. While forecasting of realistic potential can be arrived through both qualitative and quantitative methods, the challenge lies in selecting and deploying the right methodology. Thus, it is essential to have someone who understands and aspires to implement advanced analytics techniques such as Monte Carlo simulations, agent-based modeling, conjoint frameworks, NLP, clustering etc. within forecasting vertical. Primary responsibilities include, but are not limited to :Responsible for one/multiple therapy areas – demonstrating good pharmaceutical knowledge and project management capabilit yResponsible for conceptualizing and delivering forecasts and analytical solutions, using both strategic as well as statistical techniques within area of responsibilit yDrive continuous enhancements to evolve the existing forecasting capabilities in terms of value-add, risk/ opportunity/uncertainty - identify and elevate key forecasting levers/insights/findings to inform decision makin gCollaborate across stakeholders – our Manufacturing Division, Human Health, Finance, Research, Country, and senior leadership – to build and robust assumptions, ensuring forecast accuracy improves over time to support decision makin gDrive innovation and automation to bring in robustness and efficiency gains in forecasting/process; incorporate best-in-class statistical forecasting methods to improve the accurac yCommunicate effectively across stakeholders and proactively identify and resolve conflicts by engaging with relevant stakeholder sResponsible for delivery of forecasts in a timely manner with allocated resource sDetermine the optimal method for forecasting, considering the context of the forecast, availability of data, the degree of accuracy desired, and the timeline availabl eContribute in evolving our offerings through innovation, standardization/ automation of various offerings, models and processe s Qualification and skill s:Engineering / Management / Pharma post-graduates with 3+ years of experience in the relevant roles; with 1-2 years of experience in pharmaceutical strategic forecasting or analyti csProven ability to work collaboratively across large and diverse functions and stakeholde rsAbility to manage ambiguous environments, and to adapt to changing needs of busine ssStrong analytical skills; an aptitude for problem solving and strategic thinki ngWorking knowledge of Monte Carlo simulations and range forecasti ngAbility to synthesize complex information into clear and actionable insigh tsProven ability to communicate effectively with stakeholde rsSolid understanding of pharmaceutical development, manufacturing, supply chain and marketing functio ns

Database Engineer Roles and Responsibilities: • Design, implement, and maintain high-performance, scalable, and secure database systems ensuring data integrity and availability. • Monitor and optimize SQL queries, indexes, and database configurations to support efficient data retrieval, especially under high load conditions. • Perform regular database updates, migrations, transformations, and scripting tasks while minimizing downtime and ensuring data consistency. • Analyze database performance through load testing, identify bottlenecks, and recommend actionable improvements to enhance stability and speed. • Manage data security, encryption, backup policies, and disaster recovery strategies to ensure compliance and business continuity. • Collaborate with DevOps, development, and analytics teams to troubleshoot performance, connectivity, and data inconsistency issues, and implement best practices. • Develop and maintain effective database architectures, schemas, and documentation such as data dictionaries and architecture diagrams. • Proactively monitor database growth and recommend appropriate scaling strategies and resource optimization. • Contribute to the design, maintenance, and enhancement of data lakes and data warehouses to support analytics and reporting needs. • Leverage multi-database experience, including technologies such as OpenSearch, Firebase, Firestore, and PostgreSQL, to manage a diverse and dynamic data environment. • Stay updated on emerging database technologies, tools, and industry best practices to continuously improve system performance and reliability. Qualifications & Skills • Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent experience); MCA or M.Tech is a plus. • 5+ years of proven experience as a Database Administrator (DBA) working across both relational and non-relational database technologies. • Strong command of database security, performance monitoring, and backup and recovery processes. • Experience in database monitoring, troubleshooting, and resolving performance and connectivity issues. • Solid understanding of relational and dimensional data modeling. • Hands-on experience with cloud databases, particularly AWS. • Familiarity with clustering, replication, and high-availability (HA) database solutions. • Relevant certifications (e.g., Oracle Certified DBA, Microsoft SQL Server Certification) are an added advantage. • Exposure to DevOps tools and practices, contributing to automation, CI/CD pipelines, and cross-functional collaboration. If you believe in making an impact on society and are keen to be a part of the education sector, we would be delighted to hear from you.

We are looking for a Senior Data Scientist/TL in our EO Applied Data Science (EO Data) Team. Our mission is realized through foundational research and development in applied machine learning. With a plethora of Geospatial Data Science use-cases that we have solved so far, such as Land Use and Land Cover (LULC), Crop Classification, Sowing and Harvest Progression, Change Detection, Route Optimization, Satellite Image Time-Series (SITS) classification, Image2Image (I2I) Translation, Cross Modal Fusion etc, we are now focusing on advancing the next-generation Machine Learning (ML) applications, and surpass the State-Of-The-Art (SOTA), especially in more ambiguous, complex geographies. We look forward to applying our research to critical products, while touching the lives of millions of users, via revolutionary, real, and near-real time large-scale software systems utilizing Terabytes of data. At the core of such systems, we are envisioning foundational geospatial data science models that are season, modality and ground agnostic. We have been at the forefront of adaptable and efficient models, as evidenced by our findings through publications at top ML/GRS conferences. About SatSure: SatSure is a deep tech, decision intelligence company that leverages Earth-Observation (EO) data to solve crucial problems at the nexus of agriculture, finance, infrastructure, utilities, aviation, energy, climate, to name a few. Our goal is to create an impact for the other millions, focusing on the developing world. We want to make insights from earth observation data accessible to all. With a founding team having roots in the Indian Institute of Space Science and Technology (IIST), Indian Space Research Organisation (ISRO), Indian Institute of Remote Sensing (IIRS), and the leadership team having diverse backgrounds (IBM, Samsung, Intel, USC, IITKGP, IITG, IITM), we value technical innovation and scale. If you are interested in working in an environment that focuses on the impact on society, driven by cutting-edge technology, and where you will have the freedom to work on innovative ideas and be creative with no hierarchies, SatSure is the place for you. Roles & Responsibilities: Own a couple of technical roadmaps and charters for assisting the science manager in terms of resource management. Technically mentor science staff and projects. Work in collaboration with product owners, applied data scientists, MLOps, geospatial experts, platform engineers to envision solutions to real-world, ambiguous business use-cases with low latency/ high throughput. Focus on identifying and solving customer problems with simple and elegant solutions, while working backwards from customer requirements. Quickly propose and validate hypotheses to direct the product roadmaps. Own time-bound, End-to-End (E2E) solutioning of large-scale ML applications, ranging from resource, requirements gathering, data collection, cleaning and annotation, model development, validation, deployment, monitoring, etc. Brainstorm, deep dive, implement, debug into fundamentals of the systems (e.g., architectures, losses, efficiency, serving etc), while writing clean, production level code, and conduct A/B as necessary. Define proper output Data Science metrics and calibrate them to the desired business metrics. Clearly communicate findings verbally and in writing to stakeholders of varied backgrounds. Have attention to detail. Engage and initiate collaborative efforts to meet ambitious (applied research and product/client delivery) goals. Innovate and advance State-Of-The-Art (SOTA) in-house solutions, and communicate findings as IPs (patents, papers), as deemed applicable by business. Mentor junior staff, interns as applicable. Assist Science managers in effective project, resource management, hiring, and timely deliverables (in an agile manner), via showcasing strong sense of ownership and accountability. Qualification: M.Tech, MS (Research), PhD in a technical field (e.g., CS, EE, EC, Remote Sensing, etc), preferably from leading academic/ industrial labs/institutes, corporates. Undergraduates/Dual-Degree with research experience as mentioned below may also be considered. Experience working in industry (2-6 years of experience), on projects from proof-of-concept to deployment and monitoring, while partnering with business stakeholders, product managers, engineers, and other data scientists to translate business needs into technical, deployed solutions. 1-2 years of industry experience as a technical leader, as evidenced by simultaneous, multiple project and/or people management/mentorship instances. Demonstration of functioning in a matrixed organization while aligning cross-functional stakeholders towards shared goals, and exhibiting excellent behavioral skills. Must-have: To be eligible for this role, we are looking for candidates with the following qualifications: A proven track record of relevant experience in computer vision, NLP, learning theory, optimization, ML+Systems, foundational models, etc. Technically familiar with some, or most of (as evidenced by problem solving skills in novel scenarios): Convolutional Neural Networks (CNNs), LSTMs/RNNs/GRUs, Transformers, UNet, YOLO, RCNN, Encoder-Decoder Architectures, Generative Models (GAN, VAE, Diffusion), Contrastive Learning, Self-Supervised Learning, Semi-Supervised Learning, Representation Learning, Image Super Resolution, Traditional Machine Learning (Classification, Regression, Clustering), Active Learning, Learning with Noisy Labels, Multimodal Learning, Synthetic Aperture Radar (SAR)/VV-VH bands, Normalized Difference Vegetation Index (NDVI), False Colour Composite (FCC), Dimensionality Reduction (PCA, UMAP, Isomap), Time-Series Modeling/ Forecasting, Model compression (Distillation, Pruning, Quantization), Automatic Mixed Precision training, Fourier Neural Operator (FNO), Climate+AI, Domain Adaptation, Domain Generalization, Anomaly Detection etc. Candidates with prior publications in (main tracks/ workshops of) ICLR, CVPR, ICCV, ECCV, NeurIPS, ICML, AAAI, IJCAI, ACL, EMNLP, TACL, NAACL, TMLR, IGARSS, InGARSS, IEEE Transactions, etc, would have an edge too (with preference to first-authored ones). Proficiency in at least one general programming language (preferably, Python), along with strong hands-on experience with ML frameworks (e.g. PyTorch) in terms of training large, optimized, scalable, ML models. Strong verbal and written communication skills. Experience with SQL, large scale distributed systems (e.g., Spark), MLOps will be handy. Benefits: Medical Health Cover for you and your family including unlimited online doctor consultations Access to mental health experts for you and your family Dedicated allowances for learning and skill development Comprehensive leave policy with casual leaves, paid leaves, marriage leaves, bereavement leaves Twice a year appraisal Interview Process: Intro call Assessment Presentation Interview rounds (ideally up to 3-4 rounds) Culture Round / HR round Link to SatSure blogs

SatSure is seeking a Data Science Manager interested in building, scaling, and operating geospatial software platforms for agriculture use cases to support state-of-the-art products. these products need to scale to millions of daily transactions with 99.99% uptime while allowing continuous and rapid deployments across new business lines. About SatSure: SatSure is a deep tech, decision intelligence company that works primarily at the nexus of agriculture, infrastructure, and climate action, creating an impact for the other millions, focusing on the developing world. We want to make insights from Earth observation data accessible to all. If you are interested in working in an environment that focuses on the impact on society, is driven by cutting-edge technology, and where you will have the freedom to work on innovative ideas and be creative with no hierarchies, SatSure is the place for you. Role: As a Data Science Manager in the Agriculture Domain, your role is pivotal in developing data products, extracting insights, and leveraging decision intelligence to optimize agricultural processes. This includes tasks such as identifying crop varieties, distinguishing between different agricultural layers, improving crop yields, estimating yields, enhancing sustainability, and driving innovation in the agriculture industry. You will lead a high-performing team comprising data scientists, ML researchers, and geospatial experts. Collaboration with cross-functional product and business teams will be crucial to develop and implement data-driven solutions that address the unique challenges faced by the agriculture sector, including the financing of farmer's loans. This role is central to our mission of supporting and empowering low-income farmers by utilizing geospatial data and ML/DL techniques to facilitate access to agricultural financing. Data Science Product Development: Lead the development of advanced deep learning, machine learning, and statistical models to address intricate agricultural challenges, including crop classification, yield estimation, and crop disease identification, using remote sensing and geospatial data across various resolutions (high-resolution and low-resolution satellite, drone, and aerial images). Lead and coach the team to design experiments, develop algorithms, and validate models. Collaborate with stakeholders to understand business objectives and define data science strategies aligned with the goals of the agriculture domain. Also helping with prioritization. Regularly communicate with stakeholders, project managers, and other developers regarding progress on the long-term technology roadmap. Delivering OKRs by defining goals, and roadmaps and facilitating qtr planning, sprint planning and grooming, retrospective meetings, etc to achieve those goals. Building, scaling, and automating end-to-end DS solutions to support products at scale. Optimize applications for minimum latency and high scalability Hiring & Building Team: Build, Lead, and Manage a team of ML researchers, Data Scientists, and Geospatial and Remote Sensing experts working in the Agriculture domain, providing guidance and mentorship. Defining career paths for team members and helping them grow with regular coaching and mentoring. Foster a collaborative and innovative team culture, encouraging knowledge sharing and professional development. Must-Have: 5 - 8 years of working experience in DL/ML/Data science/Computer Vision. 2+ years of experience in leading a team of data scientists/ machine learning engineers. Statistical knowledge along with great proficiency in Python. Strong understanding and implementation experience of predictive modeling algorithms such as regressions, time series, neural networks, clustering, decision trees, and heuristic models, with familiarity dealing with tradeoffs between model performance and business needs Experience combining user research and data science methodologies across multiple products within the business unit. Experience in developing advanced computer vision-based deep learning models to tackle complex challenges. Must have delivered multiple data science product(s) in production. Bachelor's / Master’s degree in Computer Science Engineering, Data Science, Deep Learning / Machine Learning preferred. Good-to-Have: Experience in developing computer vision-based machine learning and deep learning models for agricultural applications, utilizing remote sensing data. Experience in leading a team of geospatial engineers to solve challenging problems preferably in the agriculture domain. Competencies: Excellent communication skills that enable you to work cross-functionally with business folks, product managers, and technical experts, building solid relationships with a diverse set of stakeholders. Great at strategic planning, balancing stakeholders, and translating product requirements into technical. Vast analytical problem-solving capabilities & experience. Strong leadership and communication skills. Ability to work cross-functionally. Bias for action. Benefits : Medical Health Cover for you and your family including unlimited online doctor consultations Access to mental health experts for you and your family Dedicated allowances for learning and skill development Comprehensive leave policy with casual leaves, paid leaves, marriage leaves, bereavement leaves Twice a year appraisal Interview Process: Intro call Assessment Presentation Interview rounds (ideally up to 3-4 rounds) Culture Round / HR round Link to SatSure blogs

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Apache Spark Good to have skills : NA Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. You will be responsible for ensuring the functionality and efficiency of the applications, as well as collaborating with the team to provide solutions to work-related problems. A typical day in this role involves designing and implementing application features, troubleshooting and debugging issues, and actively participating in team discussions to contribute to the development process. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work-related problems. - Design and implement application features based on business requirements. - Troubleshoot and debug issues to ensure the functionality and efficiency of applications. - Collaborate with the team to provide solutions to work-related problems. - Stay updated with the latest technologies and industry trends. - Conduct code reviews and provide constructive feedback to improve code quality. Professional & Technical Skills: - Must To Have Skills: Proficiency in Apache Spark. - Strong understanding of statistical analysis and machine learning algorithms. - Experience with data visualization tools such as Tableau or Power BI. - Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. - Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information: - The candidate should have a minimum of 3 years of experience in Apache Spark. - This position is based at our Indore office. - A 15 years full-time education is required. 15 years full time education