3072 Clustering Jobs - Page 14

The role is responsible for software development /testing/deployment/debugging process. This is an operational role that may seek appropriate level of guidance and advice to ensure delivery of quality outcomes. Responsibilities Writing effective and scalable code/test case Debugging and deploying applications Providing support for production environment Preparing software development calendar Preparing reports and dashboards on project time deviations, rework time etc Conducting development testing and reports testing issues to supervisor Identifying and tracking bugs, assessing nature of bugs, and executing corrective actions Desired Skill sets Good programming skills Familiar with software applications and tools Good Knowledge on coding/testing environment

🤖 Machine Learning Intern – Remote | Learn AI by Building It 📍 Location: Remote / Virtual 💼 Type: Internship (Unpaid) 🎁 Perks: Certificate After Completion || Letter of Recommendation (6 Months) 🕒 Schedule: 5–7 hrs/week | Flexible Timing Join Skillfied Mentor as a Machine Learning Intern and move beyond online courses. You’ll work on real datasets, build models, and see your algorithms in action — all while gaining experience that hiring managers actually look for. Whether you're aiming for a career in AI, data science, or automation — this internship will build your foundation with hands-on learning. 🔧 What You’ll Do: Work with real datasets to clean, preprocess, and transform data Build machine learning models using Python, NumPy, Pandas, Scikit-learn Perform classification, regression, and clustering tasks Use Jupyter Notebooks for experimentation and documentation Collaborate on mini-projects and model evaluation tasks Present insights in simple, digestible formats 🎓 What You’ll Gain: ✅ Full Python course included during the internship ✅ Hands-on projects to showcase on your resume or portfolio ✅ Certificate of Completion + LOR (6-month internship) ✅ Experience with industry-relevant tools & techniques ✅ Remote flexibility — manage your time with just 5–7 hours/week 🗓️ Application Deadline: 30th July 2025 👉 Apply now to start your ML journey with Skillfied Mentor

Dreaming big is in our DNA. It’s who we are as a company. It’s our culture. It’s our heritage. And more than ever, it’s our future. A future where we’re always looking forward. Always serving up new ways to meet life’s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do? AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics. Do You Dream Big? We Need You. Job Description Job Title: Senior Data Scientist Location: Bangalore Reporting to: Senior Manager PURPOSE OF ROLE Understand and solve complex business problems with sound analytical prowess and help business with impactful insights in decision making Ensure any roadblocks in implementation is brought to the notice of Analytics Manager so that project timelines do not get affected Document every aspect of the project in standard way, for future purposes Articulate technical complexities to the senior leadership in a simple and easy manner KEY TASKS AND ACCOUNTABILITIES Understand the business problem and work with business stakeholders to translate that to a data-driven analytical/statistical problem; participate in the solution building process Create appropriate datasets and develop statistical data models Translate complex statistical analysis over large datasets into insights and actions Analyze results and present to stakeholders Communicate the insights using business-friendly presentations Help and mentor other Data Scientists/Associate Data Scientists Build a pipeline of the project in Databricks which is production ready Build dashboards (preferably in Power BI) for easy consumption of the solutions QUALIFICATIONS, EXPERIENCE, SKILLS Level Of Educational Attainment Required Bachelor’s/Master’s Degree in Statistics, Applied Statistics, Economics, Econometrics, Operations Research or any other quantitative discipline. Previous Work Experience Minimum 4-6 years’ experience in data science role in building, implementing & operationalizing end-to-end solutions Expertise strongly desired in building statistical and machine learning models for classification, regression, forecasting, anomaly detection, dimensionality reduction, clustering etc. Exposure to optimization and simulation techniques (good to have) Expertise in building NLP based language models, sentiment analysis, text summarization and Named Entity Recognition Proven skills in translating statistics into insights. Sound knowledge in statistical inference and hypothesis testing Microsoft Office (mandatory) Expert in Python (mandatory) Advanced Excel (mandatory) And above all of this, an undying love for beer! We dream big to create future with more cheers

If you are interested in scaling Applied AI/ ML solutions to deliver business impact with customer satisfaction - this role will be the right fit for you. Responsibilities : You will be working on ensuring scale of applied AI products across risk and marketing, assets and liabilities within the bank. It will entail stress testing AI products on scale, identify ways to ensure simplified and intuitive customer journey. We are looking for sound understanding of AI/ ML techniques, strong UI/ UX, ability to simplify complexity and navigate through large/ big data. Qualifications: - Masters or Undergrad in Computer Science/Electrical Engineering/ Mechanical Engineering with 4-8 years of experience with minimum of 2-3 years in production implementation of AI/ML solutions - Experience in Java, Python, Linux, cloud computing environment (AWS/ GCP), big data tools like warehouse, spark and pipelines management. - Knowledge of different Al and Machine Learning techniques like transformers, regression, classification, clustering, CNN, tree-based algorithms, NLP etc. along with Hyper parameters tuning. - End-to-end system design: Feature engineering, implementation, debugging, and maintenance in production. - Experience implementing machine learning algorithms or research papers from scratch - Strong communication and project management skills - Experience in building bots, implementing GenAI and Computer Vision use cases or creating low code solutions would be a plus. - Experience in Financial Sector would be a plus. About the team : - You will be part of AI Centre of Excellence within Digital Banking Unit of the bank. - You will work in a fast paced environment where new ideas are encouraged. This will involve liaising with teams within Digital and those across the bank e.g. data engineers, data scientists, ML engineers, product managers and senior business stakeholders. The mandate of the Digital Business Unit at IndusInd Bank is as follows : - Building customer centric products with human centered design principles for retail Individual and micro, small and medium enterprise (MSME) customer segments - Build innovative products and propositions backed with problem solving mindset to discover and solve latent needs of customers - Build Embedded Finance (Banking as a Service) applications - Ensure designs are highly available, highly modular, highly scalable and highly secure - Drive digital business The unit's objectives are three fold : a) Drive better customer experience and engagement b) transform existing lines of businesses and c) build new digital only or banking as a service led digital business models.

Job Title: Hyper-V Engineer / Specialist – PowerFlex & Data Center Build Location: Location: Delhi NCR, Pune, Mumbai and Bangalore(Hybrid) Experience: 6 to 10 Years Employment Type: Contract(Fixed Term: 3-6months) Notice Period: Immediate / Up to 30 Days Role Overview: We are looking for a technically proficient Hyper-V Engineer/Specialist to support our data center initiatives, including infrastructure builds and virtualization using Microsoft Hyper-V. The ideal candidate will also have hands-on experience with Dell PowerFlex storage systems and be well- versed in physical data center build activities such as racking, cabling, and server configuration. Key Responsibilities:  Design, deploy, and manage Hyper-V virtualization environments, including clusters, virtual networking, and storage integration.  Collaborate in data center build projects—installing and configuring physical servers, network switches, and cabling.  Implement and manage Dell PowerFlex infrastructure for hyper-converged and software- defined storage solutions.  Perform system patching, backup configuration, and failover testing for virtualized environments.  Monitor performance, capacity, and availability of virtual infrastructure and storage.  Create and maintain detailed documentation of system configurations, procedures, and change control records.  Work with cross-functional teams to ensure smooth deployments and minimal downtime.  Troubleshoot and resolve complex infrastructure and virtualization-related issues. Must-Have Skills:  Strong hands-on experience with Microsoft Hyper-V, Failover Clustering, and Virtual Machine Manager (VMM).  Knowledge and experience in Dell PowerFlex infrastructure (deployment, monitoring, storage pool setup).  Experience with data center build and operations, including physical server setup and structured cabling.  Familiarity with Windows Server (2016/2019/2022) in enterprise environments.  Understanding of networking fundamentals related to virtualization (vSwitches, VLANs, NIC teaming).  Experience with backup and disaster recovery for virtual environments. Preferred/Good to Have:  Exposure to other hypervisors (e.g., VMware ESXi, KVM).  Experience with monitoring tools (e.g., SCOM, Nagios, or SolarWinds).  Scripting knowledge (PowerShell, CLI).  Certifications like Microsoft Certified: Azure Administrator, Hyper-V Specialist, or Dell EMC PowerFlex. Education & Qualifications:  Bachelor's degree in Computer Science, Information Technology, or related field.  Industry certifications are a plus. Work Conditions:  Onsite work required during physical builds and project deployment phases.  May include off-hours or weekend support for migrations or scheduled downtimes. Job Types: Permanent, Contractual / Temporary Contract length: 3-6 months Pay: ₹150,000.00 - ₹170,000.00 per month

Job Description We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorgan Chase within Asset and Wealth Management, you will be an experienced member of an agile team, tasked with designing and delivering reliable, market-leading technology products that are secure, stable, and scalable. Your role involves implementing essential technology solutions across diverse technical domains, supporting various business functions to achieve the firm's strategic goals. Job Responsibilities Design, develop, and optimize complex PL/SQL procedures and functions. Perform SQL tuning and optimization to enhance performance. Implement resilient setups, including partitioning, indexing, clustering, and debugging. Develop and manage materialized views to improve query performance and data retrieval. Lead migration efforts of complex procedures to SQL, ensuring seamless integration and functionality. Design and implement Snowflake solutions, including external tables and dynamic queries. Manage sharing objects and visibility settings to ensure secure and efficient data access. Develop and optimize materialized views for enhanced data processing. Facilitate data movement in and out of Snowflake, ensuring data integrity and security. Optimize compute resources and monitor costs to ensure efficient and cost-effective operations. Required Qualifications, Capabilities, And Skills Formal training or certification on software engineering concepts and 3+ years applied experience Extensive hands-on experience in Oracle PL/SQL development and Snowflake implementation. Proven track record in SQL tuning, resilient setups, and migration of complex procedures. Strong understanding of materialized views, partitioning, indexing, and clustering in Oracle. Experience with external tables, dynamic queries, and compute optimization in Snowflake. Proficient in debugging and optimizing database systems for performance and reliability. Solid understanding of data sharing, visibility, and security best practices. Knowledge of cost monitoring and optimization strategies in Snowflake. Excellent communication skills to work effectively with cross-functional teams. Ability to provide technical leadership and mentorship to junior developers. Preferred Qualifications, Capabilities, And Skills Familiarity with cloud-based data solutions and integration strategies. Exposure to modern data visualization and reporting tools. Proficiency in Java and Python for enhanced software development capabilities. Experience with AI/ML technologies to drive innovation and data-driven insights. Passion for exploring new technologies and driving innovation in database systems. ABOUT US

About Us: Birlasoft, a global leader at the forefront of Cloud, AI, and Digital technologies, seamlessly blends domain expertise with enterprise solutions. The company’s consultative and design-thinking approach empowers societies worldwide, enhancing the efficiency and productivity of businesses. As part of the multibillion-dollar diversified CKA Birla Group, Birlasoft with its 12,000+ professionals, is committed to continuing the Group’s 170-year heritage of building sustainable communities. Job Description - Snowflake Tech Lead Experience: 10+ years Location: Mumbai, Pune, Hyderabad Employment Type: Full-time Job Summary We are looking for a Snowflake Tech Lead with 10+ years of experience in data engineering, cloud platforms, and Snowflake implementations. This role involves leading technical teams, designing scalable Snowflake solutions, and optimizing data pipelines for performance and efficiency. The ideal candidate will have deep expertise in Snowflake, ETL/ELT processes, and cloud data architecture. Key Responsibilities 1. Snowflake Development & Optimization Lead Snowflake implementation, including data modeling, warehouse design, and performance tuning. Optimize SQL queries, stored procedures, and UDFs for high efficiency. Implement Snowflake best practices (clustering, partitioning, zero-copy cloning). Manage virtual warehouses, resource monitors, and cost optimization. 2. Data Pipeline & Integration Design and deploy ETL/ELT pipelines using Snowflake, Snowpark, Coalesce. Integrate Snowflake with BI tools (Power BI, Tableau), APIs, and external data sources. Implement real-time and batch data ingestion (CDC, streaming, Snowpipe). 3. Team Leadership & Mentorship Lead a team of data engineers, analysts, and developers in Snowflake projects. Conduct code reviews, performance tuning sessions, and technical training. Collaborate with stakeholders, architects, and business teams to align solutions with requirements. 4. Security & Governance Configure RBAC, data masking, encryption, and row-level security in Snowflake. Ensure compliance with GDPR, HIPAA, or SOC2 standards. Implement data quality checks, monitoring, and alerting. 5. Cloud & DevOps Integration Deploy Snowflake in AWS, Azure Automate CI/CD pipelines for Snowflake using GitHub Actions, Jenkins, or Azure DevOps. Monitor and troubleshoot Snowflake environments using logging tools (Datadog, Splunk). Required Skills & Qualifications 10+ years in data engineering, cloud platforms, or database technologies. 5+ years of hands-on Snowflake development & administration. Strong expertise in SQL, Python for data processing. Experience with Snowflake features (Snowpark, Streams & Tasks, Time Travel). Knowledge of cloud data storage (S3, Blob) and data orchestration (Airflow, DBT). Certifications: Snowflake SnowPro Core/Advanced. Knowledge of DataOps, MLOps, and CI/CD pipelines. Familiarity with DBT, Airflow, SSIS & IICS

Job Description Position : System Administrator Location : Mumbai Education : Bachelor's degree (Technical) Experience : At least 8 to 10 years of experience in end user IT support with Active Directory, Exchange, server, Antivirus, Citrix and networking knowledge. Skills : In-depth Windows (2016 and higher versionsWin11 & Higher versions) Linux & High Availability, Load Balancing, and Disaster Recovery. Exchange, Security products, MCSE, AWS, Hyper -V, Nutanix, Citrix, SAN, NAS, virtual Platform experience. ITIL, Cisco IPT (not must but good if have expertise). Troubleshooting complex issues Hands-on experience on configuration management like Ansible, terraform. Ability to install and manage multiple application environments. In-depth knowledge of Server hardware, Lenovo Laptops hardware In-depth networking background VPN Endpoint troubleshooting. 24/7 Support. As Required Including But Not Limited To: Hardware and infrastructure Third party application support Job Functions: Responsible for setup, configuration, and troubleshooting of complex Windows environments (e.g., clustering, high availability, load balancing, etc.). Support cloud infrastructure on AWS/ azure platform. Hands on experience on Backup and restore technology. Handle IT project role out in Server domain. Configuring and maintaining Hyper V Configuring and managing Antivirus. O365 configuration and management. VPN configuration and management Monitoring and configuring logging of devices, endpoints, Troubleshooting knowledge of windows and hyper V cluster Managing load balancing devices. Configuring and managing Storages as SAN, NAS. Troubleshooting issues on replication at windows and storage level. Worked on Azure AWS / Hyper V platform / Nutanix Hypervisors Performance monitoring of servers (Disk space, usage, CPU & Memory usages). Blue dump analysis Troubleshooting port communication/ depletion issues. Configuring Print Servers Patching Servers using WSUS /tools New server VM builds & in place OS upgrades File & Print server's migration Maintaining Auditing and logging of servers and endpoints. Installation and configuring network services like Active Directory, DNS, DHCP, File & Print in windows Servers configuration management using Ansible, terraform. Troubleshooting AD replication issues. Managing AD,GPO,DNS & DHCP Managing Hyper-V environment. Worked on performance Servers Server Management using ILO Supporting On-call support for high priority issues Following ITIL Processes (Change Management, Incident Management & Problem Management etc.) Willing to work 24/7 environment. Must be flexible to work on weekends and after business hours, if required. Willing to work extended hours for supporting projects and troubleshooting issues. Certifications Desirable : Citrix, Nutanix, AWS, Azure About Us Datavail is a leading provider of data management, application development, analytics, and cloud services, with more than 1,000 professionals helping clients build and manage applications and data via a world-class tech-enabled delivery platform and software solutions across all leading technologies. For more than 17 years, Datavail has worked with thousands of companies spanning different industries and sizes, and is an AWS Advanced Tier Consulting Partner, a Microsoft Solutions Partner for Data & AI and Digital & App Innovation (Azure), an Oracle Partner, and a MySQL Partner.

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

We are looking for a technically proficient Hyper-V Engineer/Specialist to support our data center initiatives, including infrastructure builds and virtualization using Microsoft Hyper-V . The ideal candidate will also have hands-on experience with Dell PowerFlex storage systems and be well-versed in physical data center build activities such as racking, cabling, and server configuration. Key Responsibilities: Design, deploy, and manage Hyper-V virtualization environments , including clusters, virtual networking, and storage integration. Collaborate in data center build projects —installing and configuring physical servers, network switches, and cabling. Implement and manage Dell PowerFlex infrastructure for hyper-converged and software-defined storage solutions. Perform system patching, backup configuration, and failover testing for virtualized environments. Monitor performance, capacity, and availability of virtual infrastructure and storage. Create and maintain detailed documentation of system configurations, procedures, and change control records. Work with cross-functional teams to ensure smooth deployments and minimal downtime. Troubleshoot and resolve complex infrastructure and virtualization-related issues. Must-Have Skills: Strong hands-on experience with Microsoft Hyper-V , Failover Clustering, and Virtual Machine Manager (VMM). Knowledge and experience in Dell PowerFlex infrastructure (deployment, monitoring, storage pool setup). Experience with data center build and operations , including physical server setup and structured cabling. Familiarity with Windows Server (2016/2019/2022) in enterprise environments. Understanding of networking fundamentals related to virtualization (vSwitches, VLANs, NIC teaming). Experience with backup and disaster recovery for virtual environments. Job Types: Full-time, Contractual / Temporary Contract length: 3 months Pay: ₹150,000.00 - ₹170,000.00 per month Schedule: Monday to Friday Rotational shift Weekend availability Ability to commute/relocate: Bangalore, Karnataka: Reliably commute or planning to relocate before starting work (Required) Application Question(s): What is your current and expected CTC If selected how soon can you join Experience: PowerFlex & Data Center Build: 6 years (Required) Work Location: In person

JD Summary The Server and VMware L3 Engineer is responsible for the design, implementation, management, and troubleshooting of the server infrastructure and VMware virtualization environment. This role requires advanced expertise in server management, virtualization technologies, and a strong focus on maintaining high availability, security, and performance of the infrastructure Key Responsibilities Server Management Design, configure, and maintain physical and virtual server environments. Perform server installations, upgrades, and patches. Monitor server performance, troubleshoot issues, and optimize performance. Configuration and troubleshooting in AD, DNS and DHCP Configuration and troubleshooting in windows clustering and high availability Plan and execute windows upgrades and migrations. VMware Administration Design, implement, and manage VMware vSphere environments. Perform advanced troubleshooting and resolve complex VMware issues. Plan and execute VMware upgrades and migrations. Reviewing VMWare ESXi server performance Verifying VMWare ESXi server configuration Configuring VMWare ESXi for High Availability Infrastructure Design and Implementation Develop and implement server and virtualization infrastructure strategies. Create and maintain detailed documentation of the server and VMware environment. Evaluate and recommend new technologies to improve infrastructure performance and reliability. Security and Compliance Implement and manage security policies and procedures for server and virtualization environments. Conduct regular security assessments and vulnerability scans. Ensure compliance with industry standards and regulations. Backup and Disaster Recovery Design and manage backup and disaster recovery solutions for server and virtualization environments. Perform regular backup tests and ensure data integrity and availability. Automation and Scripting Develop and maintain scripts for automating server and VMware tasks (e.g., PowerShell, vSphere PowerCLI). Implement automation solutions to streamline operations and improve efficiency. Continual Service Improvement Planning and executions Monitoring and Reporting Implement monitoring solutions to proactively identify and resolve issues. Generate regular reports on infrastructure performance, capacity, and security. Preparation of RCA for Major Incidents Preparing, maintaining and updating of SOP and KB Articles Repeated Incident / Alert Analysis Drive the Incident / Problem / Change management with help of team Maintaining and updating of Infra AS IS / Infra Documents Mentoring and Support Provide technical guidance and mentorship to junior engineers (L1/L2). Assist with training and knowledge sharing within the team. Project Management Lead and participate in infrastructure-related projects, ensuring timely and successful completion. Coordinate with stakeholders to gather requirements and provide regular project updates. Qualifications Education Bachelor's degree in Technology or a related field. Relevant certifications (e.g., VCP, VCAP, MCSE, etc.), but this is not mandatory criteria. Experience Minimum of 8-10 years of experience in server administration and VMware virtualization at an advanced level. Technical Skills Expertise in VMware vSphere, vCenter, and related technologies. Expertise AD, DNS and DHCP Strong knowledge of Windows and ESXi server administration. Experience with SAN/NAS storage solutions and their integration with VMware. Proficiency with backup and disaster recovery solutions (e.g., Veeam, Veritas). Familiarity with cloud platforms (e.g., AWS, Azure) and hybrid cloud environments. Knowledge of scripting and automation skills (e.g., PowerShell, PowerCLI). Expertise in windows clustering ITSM tools hands on for processes of Incident / Problem / Change management Datacenter process knowledge Knowledge of Service improvement Plan Performance tuning implementation suggested by OEM or product vendor VMware and Hyper-V Hotfix installation Planning and execution of DR Drills based on availability of DR setup and recovery procedures Knowledge of Service improvement Plan Soft Skills Excellent problem-solving and analytical skills. Strong communication and interpersonal skills. Ability to work independently and as part of a team. Detail-oriented and organized. Working Conditions May require occasional on-call support and availability outside of regular business hours. May involve lifting and transporting server and network equipment. WORK LOCATION Noida (Client premises)

Job Title: Windows Server Administrator Location: Mumbai Experience: 3+ years in Windows Server Administration Job Summary: We are looking for a skilled Windows Server Administrator to manage and maintain mission-critical Windows server infrastructure in a high availability (HA) environment. The ideal candidate will ensure stability, performance, and security across our Windows ecosystem, supporting 24x7 operations and helping deliver uninterrupted IT services to the business. Key Responsibilities: • Install, configure, and maintain Windows Server OS (2016/2019/2022) in enterprise environments. • Ensure high availability and disaster recovery through clustering, failover configuration, and backup strategies. • Monitor system performance, patch levels, and uptime using enterprise tools. • Manage Active Directory, DNS, DHCP, Group Policies, and domain services with best practices. • Administer Hyper-V or VMware virtualization platforms supporting the Windows infrastructure. • Perform routine system checks, capacity planning, and implement proactive maintenance. • Collaborate with network, storage, and security teams to ensure optimal performance and compliance. • Troubleshoot and resolve system-related issues impacting availability or performance. • Maintain documentation for systems, procedures, and change management in line with ITIL practices. • Participate in on-call rotation and support weekend maintenance windows when required. Required Skills & Experience: • 3+ years of experience in Windows Server Administration in enterprise environments. • Strong knowledge of Windows Server clustering, HA configurations, and failover mechanisms. • Expertise in Active Directory, DNS, DHCP, and Group Policy management. • Experience with backup and recovery tools (e.g., Veeam, Commvault). • Familiarity with virtualization platforms like Hyper-V and VMware ESXi. • Proficient with PowerShell scripting for automation and reporting. • Understanding of ITIL framework and change/release processes. • Strong troubleshooting and root cause analysis skills. Preferred Qualifications: • Microsoft Certified: Windows Server Hybrid Administrator Associate or equivalent certification. • Experience in hybrid cloud environments (e.g., Azure AD, Azure Site Recovery). • Exposure to monitoring tools (e.g., SCOM, Nagios, PRTG). • Experience working in a 24x7 operations or data center environment.

Join MSBC as an AI/ML Engineer – Deliver Real-World Intelligent Systems At MSBC, we design and implement practical AI solutions that solve real business problems across industries. As an AI/ML Engineer, you will play a key role in building and deploying machine learning models and data-driven systems that are used in production. This role is ideal for engineers with solid hands-on experience delivering end-to-end AI/ML projects. Key Tools and Frameworks • Programming Languages – Python (FastAPI, Flask, Django) • Machine Learning Libraries – scikit-learn, XGBoost, TensorFlow or PyTorch • Data Pipelines – Pandas, Spark, Airflow • Model Deployment – FastAPI, Flask, Docker, MLflow • Cloud Platforms – AWS, GCP, Azure (any one) • Version Control – Git Key Responsibilities • Design and develop machine learning models to address business requirements. • Build and manage data pipelines for training and inference workflows. • Train, evaluate, and optimise models for accuracy and performance. • Deploy models in production environments using containerised solutions. • Work with structured and unstructured data from various sources. • Ensure robust monitoring, retraining, and versioning of models. • Contribute to architecture and design discussions for AI/ML systems. • Document processes, results, and deployment procedures clearly. • Collaborate with software engineers, data engineers, and business teams. Required Skills and Qualifications • 4+ years of hands-on experience delivering ML solutions in production environments. • Strong programming skills in Python and deep understanding of ML fundamentals. • Experience with supervised and unsupervised learning, regression, classification, and clustering techniques. • Practical experience in model deployment and lifecycle management. • Good understanding of data preprocessing, feature engineering, and model evaluation. • Experience with APIs, containers, and cloud deployment. • Familiarity with CI/CD practices and version control. • Ability to work independently and deliver results in fast-paced projects. • Excellent English communication skills for working with distributed teams. • Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field. MSBC Group has been a trusted technology partner for over 20 years, delivering the latest systems and software solutions for financial services, manufacturing, logistics, construction, and startup ecosystems. Our expertise includes Accessible AI, Custom Software Solutions, Staff Augmentation, Managed Services, and Business Process Outsourcing. We are at the forefront of developing advanced AI-enabled services and supporting transformative projects. Operating globally, we drive innovation, making us a trusted AI and automation partner.

Silverpush is at the forefront of AI-powered video advertising, delivering sophisticated video ad solutions that empower brands to achieve impactful campaigns within a privacy-centric environment. Operating across 30+ countries, we specialize in creating contextually relevant advertising experiences that drive genuine engagement and conversion. Silverpush's commitment to innovation and technological advancement enables us to navigate the evolving digital landscape, providing our partners with the tools necessary to connect with audiences on a global scale. We are dedicated to fostering a culture of creativity and excellence, driving the future of ad tech with integrity and foresight. For more information about Silverpush’s innovative advertising solutions, please visit www.silverpush.co. Responsibilities: ● Analyze complex datasets to identify trends, patterns, and correlations, and extract actionable insights that can inform strategic decisions. ● Design and build predictive models using statistical and machine learning techniques (e.g., regression, classification, XGBoost, clustering). ● Research and develop analyses and forecasting and optimization methods across ads performance, content performance modeling, and live experiments. ● Research and prototype using cutting-edge LLM technologies and generative AI to unlock new opportunities in personalization, targeting, and automation. Ideal Candidate Profile ● 3+ years of experience in Data Science, ideally in advertising or media-related domains. ● Degree in a quantitative discipline (e.g., Statistics, Computer Science, Mathematics, Masters in DS). ● Deep experience working with large-scale structured and unstructured data. ● Strong foundation in machine learning and statistical modeling. ● Familiar with building and deploying models in production (basic MLOps knowledge). ● Comfortable with NLP and computer vision, and interested in applying LLMs to real-world use cases. ● Excellent communication skills, with the ability to explain complex concepts to non-technical stakeholders. Technical Skills ● Languages & Tools: Python, PySpark, SQL ● ML Techniques: Regression, Classification, Clustering, Decision Trees, Random Forests, XGBoost, SVM ● LLM Tech: Familiarity with tools like OpenAI, Hugging Face, LangChain, and prompt engineering ● Data Infrastructure: ETL tools, Postgres, BigQuery/Snowflake, S3/GCP ● Statistical Analysis: A/B testing, experiment design, causal inference

At Allstate, great things happen when our people work together to protect families and their belongings from life's uncertainties. For over 90 years, our innovative drive has kept us a step ahead of our customers" evolving needs. From advocating for safety measures like seat belts and airbags to being a leader in pricing sophistication, telematics, and device and identity protection. This role is responsible for leading the use of data to make decisions. You will develop and execute new machine learning predictive modeling algorithms, code tools using machine learning/predictive modeling for business decisions, integrate new data to improve modeling results, and find solutions to business problems through machine learning/predictive modeling. In addition, you will manage projects of small to medium complexity. We are seeking a Data Scientist to apply machine learning and advanced analytics to solve complex business problems. The ideal candidate will possess technical expertise, business acumen, and a passion for solving high-impact problems. Your responsibilities will include developing machine learning models, integrating new data sources, and delivering solutions that enhance decision-making. You will collaborate with cross-functional teams to translate insights into action, from design to deployment. Key Responsibilities: - Design, build, and validate statistical and machine learning models for key business problems. - Perform data exploration and analysis to uncover insights and improve model performance. - Communicate findings to stakeholders, collaborate with teams to ensure solutions are adopted. - Stay updated on modeling techniques, tools, and technologies, integrating innovative approaches. - Lead data science initiatives from planning to delivery, ensuring measurable business impact. - Provide mentorship to junior team members and lead technical teams as required. Must-Have Skills: - 4 to 8 years of experience in applied data science, delivering business value through machine learning. - Proficiency in Python with experience in libraries like scikit-learn, pandas, NumPy, and TensorFlow or PyTorch. - Strong foundation in statistical analysis, regression modeling, classification techniques, and more. - Hands-on experience with building and deploying machine learning models in cloud environments. - Ability to translate complex business problems into structured data science problems. - Strong communication, stakeholder management, analytical, and problem-solving skills. - Proactive in identifying opportunities for data-driven decision-making. - Experience in Agile or Scrum-based project environments. Preferred Skills: - Experience with Large Language Models (LLMs) and transformer architectures. - Experience with production-grade ML platforms and orchestration tools for scaling models. Primary Skills: Business Case Analyses, Data Analytics, Predictive Analytics, Predictive Modeling, Waterfall Project Management. Shift Time: Shift B (India). Recruiter Info: Annapurna Jha, email: ajhat@allstate.com. About Allstate: The Allstate Corporation is a leading insurance provider in the US, with operations in multiple countries, including India. Allstate India is a strategic business services arm focusing on technology, innovation, and operational excellence. Learn more about Allstate India here.,

Job Description We are seeking an experienced Senior Windows Server Administrator to oversee, maintain, and enhance our on-premise and cloud-based Windows server infrastructure. The ideal candidate will have in-depth knowledge of Windows server systems, virtualization platforms (Hyper-V, VMware), cloud technologies (Azure, AWS), and advanced scripting using PowerShell. This role is critical to ensuring our server environment is secure, reliable, and optimized for performance. Key Responsibilities Install, configure, and manage Windows servers (2012, 2016, 2019, 2022) to ensure high availability and performance. Diagnose and resolve complex server-related issues, both hardware and software, within defined SLAs. Provide Level 3 support for escalated server incidents, collaborating with cross-functional teams as needed. Plan and implement patches, hotfixes, and security updates in compliance with IT security standards. Troubleshoot and manage network-related configurations (TCP/IP, DNS, DHCP, VPN) for Windows environments. Configure and manage firewalls, IDS/IPS systems, and enforce server hardening techniques. Manage virtualization platforms (Hyper-V, VMware) to ensure optimal resource allocation, clustering, and high availability. Administer cloud-based Windows environments on Microsoft Azure and Amazon Web Services (AWS). Write and maintain PowerShell scripts to automate routine administrative tasks and enhance operational efficiency. Utilize System Center Operations Manager (SCOM) for monitoring, alerting, and proactive system health analysis. Design and execute backup & recovery strategies using tools such as Veeam, Commvault, or native Windows Backup. Maintain detailed documentation including server inventories, configuration standards, runbooks, and SOPs. Perform capacity planning, performance tuning, and growth forecasting for server infrastructure. Collaborate with network, security, and development teams to deliver seamless, secure, and scalable solutions. Ensure adherence to compliance standards and ITIL practices for change, incident, and problem Skills and Experience : Graduation in Computer Science, Information Technology, or related discipline. 12+ years of hands-on experience in Windows Server Administration in enterprise environments. Strong knowledge and troubleshooting skills Familiarity with networking concepts including TCP/IP, routing, firewall policies, and VPN configurations. Experience with security practices such as server hardening, patch management, and threat mitigation. Exposure to DevOps/CI tools like Ansible, Jenkins, or Terraform (optional but advantageous). Strong understanding of backup and disaster recovery techniques and tools. Excellent documentation, communication, and team collaboration : Microsoft Certified : Windows Server Hybrid Administrator Associate Microsoft Certified : Azure Administrator Associate AWS Certified SysOps Administrator VMware Certified Professional (VCP) ITIL Foundation (ref:hirist.tech)

Job Title : Analyst Server Support Experience : 4-6 years Location : Pune (Currently Work from Home) Role Objective The successful candidate will be performing 2nd line server & storage-based support, deploying/managing changes and building/re-building servers that support Nexts eCommerce environment and managing mid size projects. The role includes, but is not limited to, proactive monitoring, 2nd line fault diagnosis and resolution, rebuilds and upgrades to existing servers and systems, managing and deploying changes to servers, anti-virus deployment and monitoring, designing, and producing management reports for server/storage health/capacity management and managing server security. Responsibilities Windows 2008/2012/2016 Server, Linux Servers, clustering technologies, VMWare, Hyper-V, Microsoft Systems SCCM/SCOM, TCP/IP, Microsoft SQL Server, IIS 7/8, PowerShell Scripting or VB Scripting and Altiris Deployment Server Demonstrate excellent problem resolution skills using intelligent qualified troubleshooting techniques, using a variety of internal and external resources. Good communication skills to liaise with UK Technical teams via phone, email and chat in a professional, efficient and clear manner. Can work with other technical teams to understand both business and functional impact. Have experience in managing small projects, displaying a methodical and logical approach to prioritizing, and organizing projects in line with business requirements. Self-motivating with the ability to identify and define development requirements. Can work on own initiative and priorities in a fast-moving environment. Work well as a member of a team whilst adhering to and promoting team standards. Understand and use change, incident, and request management. Produce documentation to a high standard and be proactive in knowledge transfer to colleagues and operational teams. Benchmarking and monitoring system performance to proactively manage server/storage estate. Provide regular reporting to senior management team. Keep the management team informed of major issues and concerns. Flexible to Overtime requests Desirable Understanding and experience of working for a Retail company specifically for IT - eCommerce Server Support Previous server/infrastructure experience in an operational environment Essential Proven track record in a technical environment Industry recognized qualifications such as MCP, MCSE advantageous Experience working with change, request, problem, and incident management. Technical Skills Proven practical expertise with common server technologies such as Windows Servers, DNS, DHCP, TCP/IP, IIS Proven practical expertise on Virtualization platform VMware, Hyper-V Proven practical expertise with Systems Center Products - SCOM/SCCM Proven practical expertise with storage solutions (SAN/NAS) XIV Proven practical expertise with Scripting PowerShell/VB Proven practical expertise with any software/application deployment software Altiris. Basic practical hands-on Linux server administrator Basic Understanding of cloud computing - Azure/AWS Basic understanding on SQL Administration Installation/Configuration/User Management Skills Set Mandatory : Windows Servers Windows Clustering HP, DELL Servers VMWare Administration (ref:hirist.tech)

We are looking for an experienced Data Scientist with a strong background in Retail & E-commerce Analytics , particularly in integrating offline store data into analytics solutions. The ideal candidate will leverage General Analytics , AI/ML , and other advanced data science techniques to bridge the gap between online and offline retail data, enabling smarter business decisions and enhancing customer experiences across both channels. Responsibilities: Offline Store Data Analytics : Analyze and integrate offline store data (sales, foot traffic, inventory, etc.) with online data to provide a holistic view of customer behavior and sales trends. Use AI/ML models to optimize offline store performance by forecasting demand, inventory needs, and staffing levels based on historical data. Analyze the impact of offline marketing campaigns and promotions on in-store foot traffic and sales, using predictive analytics and machine learning. Develop models to predict store performance, taking into account various factors like location, weather, local events, and other external variables. Retail & E-commerce Analytics : Use machine learning algorithms and statistical analysis to understand and predict consumer behavior, both in-store and online. Build and maintain models for customer segmentation , personalized marketing , and sales forecasting for both e-commerce and brick-and-mortar stores. Identify key metrics for store performance and customer satisfaction, helping management teams optimize strategies for in-store and online experiences. AI/ML Implementation For Retail Optimization : Apply AI/ML techniques (e.g., classification , regression , clustering , time series forecasting ) to retail data, enabling actionable insights for improving product assortment, pricing, and promotions both online and offline. Develop demand forecasting models for offline stores , ensuring optimal stock levels based on predicted customer needs and sales trends. Use machine learning to enhance inventory management in offline stores by predicting inventory shortages and surplus. Data Integration & Visualization : Work with large datasets from both offline and online sources to clean, integrate, and analyze the data, ensuring data accuracy and consistency. Develop dashboards and visualizations using tools like Tableau , Power BI , or Google Data Studio to communicate key findings and business insights to stakeholders. Create reports that combine insights from offline and online channels, providing a unified view of retail operations. Campaign Performance Analysis : Use data science techniques to analyze the effectiveness of offline marketing campaigns and promotions on both in-store and online traffic, conversion rates, and sales. Evaluate customer engagement with offline campaigns, offering insights into how online and offline channels influence each other. Collaboration With Cross-Functional Teams : Work closely with retail managers, marketing teams, and IT teams to implement data-driven solutions that improve customer experience and business performance. Collaborate with product, marketing, and supply chain teams to optimize the omnichannel strategy , including aligning online and offline inventories and promotions. Key Technical Skills: Machine Learning & AI : Proficiency in Python or R for building and deploying AI/ML models such as random forests , XGBoost , SVM , and neural networks . Strong experience in applying predictive modeling , regression analysis , and time series forecasting to retail data, including demand forecasting and sales prediction. Familiarity with deep learning techniques (e.g., RNNs , LSTMs ) for more complex data patterns, if relevant. Retail & E-commerce Analytics : Experience in analyzing point-of-sale (POS) data , foot traffic data , and customer journey data for offline retail stores. Understanding of e-commerce KPIs and how they integrate with offline store performance metrics. Strong knowledge of inventory optimization , supply chain management , and how they relate to both online and offline retail operations. Big Data & Data Integration : Proficiency in handling and analyzing large datasets from multiple sources (online and offline) using SQL , NoSQL , and cloud platforms like AWS , GCP , or Azure . Ability to work with ETL processes to integrate data from multiple systems, ensuring high-quality data for analysis. Data Visualization & Reporting : Experience with Tableau , Power BI , Google Data Studio , or other visualization tools to present insights and actionable business recommendations. Strong communication skills to present complex findings to both technical and non-technical stakeholders. Statistical Analysis : Proficiency in statistical methods for hypothesis testing, segmentation analysis, and measuring the effectiveness of retail strategies and campaigns. Familiarity with advanced statistical techniques, including Bayesian methods , Monte Carlo simulations , and multivariate testing . Desired Qualifications: Bachelor’s or Master’s degree in Computer Science , Data Science , Statistics , Engineering , or a related field. 5+ years of experience in data science or analytics in the retail or e-commerce industry, with a focus on offline store performance . Proven experience in applying AI/ML models to solve real-world business problems, including demand forecasting, personalization, and campaign optimization. Familiarity with offline store data (sales, foot traffic, inventory) and how it integrates with e-commerce platforms . Strong understanding of the retail industry, particularly in optimizing performance across omnichannel environments (online and offline).

As an Associate Director at EY, you will play a crucial role in enabling business leaders to understand the performance of the Consulting and Implementation (C&I) sector, along with its key drivers, by providing actionable and impactful insights. Your responsibilities will include analyzing data, identifying patterns, and deriving insights within the context of the business environment. Additionally, you will be responsible for aligning insights with broader business transformation goals for the Super regions, working closely with Leadership. You will need to possess a combination of strong analytical skills, a strategic mindset, and a real-world perspective to address client issues and marketplace drivers effectively. Collaboration is key in this role, as you will work across Europe West Super Region, Industries, and Service Lines to identify growth enablers essential for activation and growth initiatives. Your main duties will involve championing strategic insight initiatives that influence leadership decision-making, aligning C&I Key Performance Indicators (KPIs) with strategic priorities, and collaborating with senior stakeholders to embed insights into go-to-market strategies. You will be responsible for generating actionable insights on C&I KPIs related to revenue, sales, and pipeline, as well as creating engaging presentations and executive communications. To excel in this role, you must have proven experience in influencing senior leadership, navigating complex matrix structures, and managing cross-border collaborations. Your ability to create and validate hypotheses based on business objectives, identify key drivers of performance, and produce insightful analysis will be essential. Additionally, you should have strong business writing skills and the capacity to balance autonomy with collaboration across various projects under tight deadlines. To qualify for this position, you should have at least 14 years of work experience, exposure to leading consulting firms, and a track record of managing complex processes and projects at a global level. Experience in strategic program management, professional services, or related industries is required, along with a background in areas such as Operations Management, Project Management, Client Services, or Leadership Enablement. Ideal candidates will also possess skills in summarizing business performance through visuals, mapping business problems to data, and leveraging external trends in performance analysis. Knowledge of tools such as MS PowerPoint, data visualization tools like Power BI and Tableau, as well as experience in project management concepts will be advantageous. At EY, you will have the opportunity to work in a dynamic and global delivery network, collaborating with diverse teams and contributing to the growth strategy of the organization. Continuous learning, transformative leadership, and a diverse and inclusive culture are some of the key aspects of the EY experience, enabling you to make a meaningful impact and build a better working world.,

As a skilled Integration Specialist, you will be responsible for interacting and collaborating with customers and partners to define the integration landscape. Your role will involve defining the logical sequence of integration activities for SaaS onboarding projects and coordinating with the product development team to implement recommended integration strategies. By improving the overall project delivery experience and go-live time through process and documentation enhancements, you will contribute to the success of integration projects. You will be supporting cloud infrastructure and system components required for integration while also taking the lead in the identification, isolation, resolution, and communication of issues within a client environment. To succeed in this role, you must have worked on at least one end-to-end SaaS implementation project and possess 3-10 years of application and data integration experience. Your experience with clustering and high availability configurations, along with Agile methodologies, will be beneficial. Designing an end-to-end scalable microservices-based integration solution is a must, in addition to having broad exposure to different technology stacks involved in a SaaS delivery model. Your knowledge and experience should encompass various aspects, including microservices design patterns, service orchestration, inter-service communication, data integration concepts and tools, network protocol stacks, security postures in integration technology stacks, API design, and API-based integration. Familiarity with Azure, AWS, and GCP public cloud platforms and their integration approaches is essential. Additionally, hands-on experience with the Kafka Connect Framework and skilled technical documentation abilities are required. As a solution designer at heart, you should be able to use modeling tools to create effective architecture views and possess strong organizational, analytical, critical thinking, and debugging skills. Excellent communication skills are vital for effectively articulating complex technical and functional requirements to project stakeholders. Being a self-starter who is willing to engage in all aspects of solution delivery, including implementation and process improvement, is key. A broad picture mindset is necessary to visualize the end-to-end solution of a project. Nice-to-have qualifications include domain knowledge of banking and financial institutions, experience with geographically distributed delivery and client teams, and hands-on experience with setting up and configuring Kafka brokers.,

As a Senior Analyst - Data Analytics, you will leverage your 3+ years of experience in Data Analytics and reporting to design and build interactive dashboards and reports using Power BI and Microsoft Fabric. Your strong technical expertise in Power BI, Microsoft Fabric, Snowflake, SQL, Python, and R will be instrumental in performing advanced data analysis and visualization to support business decision-making. You will utilize your experience with Azure Data Factory, Databricks, Synapse Analytics, and AWS Glue to develop and maintain data pipelines and queries using SQL and Python. Applying data science techniques such as predictive modeling, classification, clustering, and regression, you will solve business problems and uncover actionable insights. Your hands-on experience in building and deploying machine learning models will be crucial in building, validating, and tuning machine learning models using tools such as scikit-learn, TensorFlow, or similar frameworks. Collaborating with stakeholders, you will translate business questions into data science problems and communicate findings in a clear, actionable manner. You will use statistical techniques and hypothesis testing to validate assumptions and support decision-making. Documenting data science workflows and maintaining the reproducibility of experiments and models will ensure the success of analytics projects. Additionally, you will support the Data Analytics Manager in delivering analytics projects and mentoring junior analysts. Professional certifications such as Microsoft Certified: Power BI Data Analyst Associate (PL-300), SnowPro Core Certification (Snowflake), Microsoft Certified: Azure Data Engineer Associate, and AWS Certified: Data Analytics Specialty are preferred or in progress to enhance your expertise in the field.,

Position Overview Job Title: Infra and DevOps Engineer, AS Location: Pune, India Role Description The Infra & DevOps team within DWS India, sits horizontally over the project delivery, committed to provide best in class shared services across build, release and QA Automation space. Its’ main functional areas encompass Environment build, Integration of QA Automation suite, Release and Deployment Automation Management, Technology Management and Compliance Management. This role will be key to our programme delivery and include working closely with stakeholders including client Product Owners, Digital Design Organisation, Business Analysts, Developers and QA to advise and contribute from Infra and DevOps capability perspective by Building and maintaining non-prod and prod environments, setting up end to end alerting and monitoring for ease of operation and oversee transition of the project to L2 support teams as part of Go Live. We are looking for the best people to help create the next big thing in digital banking What We’ll Offer You As part of our flexible scheme, here are just some of the benefits that you’ll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Flexible working arrangements Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities: Drives automation (incl. automated build, test and deploy) Supports and manages Data / Digital systems architecture (underlying platforms, APIs, UI, Datasets …) in line with the architectural vision set by the Digital Design Organisation across environments. Drives integration across systems, working to ensure service layer integrates with the core technology stack whilst ensuring that services integrate to form a service ecosystem Monitors digital architecture to ensure health and identify required corrective action Serve as a technical authority, working with developers to drive architectural standards on the specific platforms that are developing upon Build security into the overall architecture, ensuring adherence to security principles set within IT and adherence to any required industry standards Liaises with IaaS and PaaS service provides within the Bank to enhance their offerings. Liaises with other technical areas, conducting technology research, and evaluating software required for maintaining the development environment. Works with the wider QA function within the business to drive Continuous Testing by integrating QA Automation suites with available toolsets. Your Skills And Experience Proven technical hands on in Linux/Unix is a must have. Proven experience on Infrastructure Architecture - Clustering, High Availability, Performance and Tuning, Backup and Recovery. Hands-on experience with DevOps build and deploy tools like TeamCity, GIT / Bit Bucket / Artifactory and knowledge about automation/ configuration management using tools such as Ansible or relevant. A working understanding of code and scripting language such as (Python, Perl, Ruby or JS). In depth Knowledge and experience in Docker technology, OpenShift and Kubernetes containerisation Ability to deploy complex solutions based on IaaS, PaaS and public and private cloud-based infrastructures. Basic understanding of networking and firewalls. Knowledge of best practices and IT operations in an agile environment Ability to deliver independently: confidently able to translate requirements into technical solutions with minimal supervision Collaborative by nature: able to work with scrum teams, technical teams, the wider business, and IT&S to provide platform-related knowledge Flexible: finds a way to say yes and to make things happen, only exercising authority as needed to prevent the architecture from breaking Coding and scripting: Able to develop in multiple languages in order to mobilise, configure and maintain digital platforms and architecture. Automation and tooling: strong knowledge of the automation landscape, with ability to rapidly identify and mobilise appropriate tools to support testing, deployment etc Security: understands security requirements and can independently drive compliance Education / Certification Any relevant DevOps certification. Bachelor’s degree from an accredited college or university with a concentration in Science, Engineering, or an IT-related discipline (or equivalent). How We’ll Support You Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs About Us And Our Teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

The job involves installing, configuring, and maintaining database systems such as Oracle, SQL Server, and PostgreSQL. You will be responsible for monitoring database performance, tuning for optimization, and ensuring data integrity and availability through backup and recovery processes. Managing user access and database security, implementing and maintaining database replication and clustering, as well as designing and maintaining disaster recovery plans are also part of your role. Additionally, you will be required to write and maintain scripts for automation and reporting, work with developers to optimize SQL queries and database design, perform data migration and transformation when necessary, and stay updated on the latest technologies and industry best practices. This is a full-time job that requires in-person work at the specified location. Interested candidates can contact @ 9787035355 for further details.,

• Administer and manage SQL Server databases in high-availability, clustered environments. • Implement and maintain robust backup, restore, and disaster recovery strategies.

We are looking for a Lead Data Scientist to join our collaborative team. You will play a key role in developing and implementing AI solutions across various applications, from statistical analysis to natural language processing. If you are passionate about leveraging data to create impactful solutions, we encourage you to apply. Responsibilities Develop and implement AI solutions including classification, clustering, and anomaly detection Conduct statistical data analysis and apply machine learning techniques Manage complete project delivery from data preparation to model evaluation Utilize Python programming and SQL for data manipulation and analysis Engage in ML Ops and model development workflows Create models that are accessible for business use Collaborate with teams using software development methodologies and version control Document processes and maintain project tracking tools such as Jira Stay updated with new technologies and apply problem-solving skills effectively Deliver production-ready solutions and facilitate knowledge sharing Requirements 9+ years of experience in software engineering, specializing in Data Science At least 1 year of relevant leadership experience Proficiency in statistical data analysis, machine learning, and NLP, with a clear understanding of practical applications and limitations Experience in developing and implementing AI solutions, including classification, clustering, anomaly detection, and NLP Expertise in complete project delivery, from data preparation to model building, evaluation, and visualization Proficiency in Python programming and SQL, with experience in production-level code and data analysis libraries Familiarity with ML Ops, model development workflows, and feature engineering techniques Capability in manipulating data and developing models accessible for business use, with experience in Azure AI Search Competence in software development methodologies, code versioning (e.g., GitLab), and project tracking tools (e.g., Jira) Enthusiasm for learning new technologies, with expertise in problem-solving and delivering production-ready solutions Fluency in UNIX command line Familiarity with Agile development practices Excellent communication skills in English, with a minimum proficiency level of B2+ Nice to have Knowledge of Cloud Computing Experience with Big Data tools Familiarity with visualization tools Proficiency in containerization tools