Key Responsibilities: Lead ITSM Initiatives: Oversee and drive the implementation of ITSM frameworks, best practices, and tools (e-g , ITIL), ensuring alignment with business objectives and ensuring that services are delivered efficiently and effectively, Process Optimization: Continuously assess and improve ITSM processes, including Incident Management, Problem Management, Change Management, Service Request Management, and more Identify areas for improvement and implement streamlined processes to enhance service delivery, Stakeholder Collaboration: Work closely with IT teams, business leaders, and external vendors to ensure alignment of IT services with organizational needs Act as a liaison between business requirements and IT operations, Incident and Problem Management: Oversee the effective management of critical incidents and problems, ensuring root causes are identified and that resolutions are implemented in a timely manner, Change Management Oversight: Ensure that the Change Management process is followed and that changes to the IT environment are implemented with minimal disruption to business operations Drive change approval board meetings, Performance Reporting and Analytics: Develop and monitor ITSM metrics and KPIs to assess the performance of IT services Provide insights and recommendations for continuous improvement through data-driven analysis, Service Level Management: Ensure that Service Level Agreements (SLAs) are adhered to, and proactively manage service performance to meet or exceed agreed-upon levels of service, Compliance and Best Practices: Maintain up-to-date knowledge of industry trends, regulations, and ITIL best practices to ensure compliance and alignment with industry standards, CMDB Compliance: Maintain the IT Infra and Software inventory and keep it up to date all the time, Release Management: Verify release notes and ensure whatever goes to production is as per production requirements and is production ready, Cloud Cost Management: Keep track of cloud cost and report and address anomalies through an incident Prepare cloud Capex/Opex reports, Experience required: 6 to 10 years Interested ones please share your CV at chandni@biz2x,
About the Role: We are seeking an experienced and passionate Senior Site Reliability Engineer (SRE) to join our team In this role, you will work on improving the availability, reliability, and scalability of our services, systems, and infrastructure You will collaborate closely with development, operations, and security teams to ensure that our systems are robust, performant, and maintainable As a Senior SRE, you will also play a key role in mentoring junior engineers and driving best practices across the organization, Skills and Qualifications: Experience: 3-6 years of experience in Site Reliability Engineering, DevOps, or a similar field, with a solid understanding of both software development and system administration, Technical Expertise: Proficient with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes), Strong experience with monitoring and alerting tools (Prometheus, Grafana, Datadog, etc ), Proficiency with configuration management tools (Terraform, Ansible, Puppet, Chef), Experience with CI/CD pipeline management (Jenkins, GitLab, CircleCI), Strong knowledge with scripting languages (Python, Powershell, Go, etc ) for automation tasks, Strong understanding of networking, security, and system architecture principles, Problem-Solving Skills: Excellent analytical and troubleshooting skills, able to diagnose complex technical issues and identify solutions quickly, Interested ones please share resume at chandni@biz2x,
We are seeking a Business Analyst to join our Marketing Team, responsible for generating insights through data analysis and reporting The candidate will play a crucial role in optimizing marketing strategies, improving campaign performance, and supporting the marketing team with actionable insights, The Business Analyst will be responsible for generating insights through data analysis and reporting, playing a crucial role in optimizing marketing strategies and improving campaign performance, Responsibilities Daily Reporting & Analysis: Responsible for preparing and delivering daily performance reports to track key metrics and KPIs, Data Management: Utilize SQL to extract, manipulate, and analyze large datasets to generate insights, Reporting Tools: Leverage tools like Excel and PowerBI to create dashboards, reports, and visualizations for better decision-making, Marketing Insights: Provide data-driven insights to support marketing strategies and improve the performance of ongoing campaigns, Collaboration: Work closely with cross-functional teams, including marketing, sales, and product, to understand business requirements and provide analytical support, Performance Tracking: Monitor the effectiveness of marketing channels and campaigns (e-g , PPC, SEO, Affiliate Marketing, CPC) and recommend improvements, Ad-hoc Analysis: Conduct deep dives into specific data sets as required to identify trends, opportunities, and areas for optimization, Qualifications Education: b-tech/BE or a preferred MBA in Analytics or a related field, Experience: 1-4 years of proven experience in business analysis, preferably with a focus on marketing and analytics, Required Skills Hands-on experience with SQL to manage and query data, Advanced proficiency in Excel (VLOOKUP, Pivot Tables, Formulas, etc ), PowerBI experience to build reports, dashboards, and data visualizations, Preferred Skills Knowledge of Python for data analysis and automation is a plus, Knowledge of Google Analytics for performance tracking and reporting, Familiarity with digital marketing concepts such as PPC, SEO, Affiliate Marketing, and CPC,
We are urgently hiring for Senior Data Scientist with Biz2x at Noida As a Biz2x Data Scientist, you will shape the company's data-centric culture, work closely with our engineering team to develop our analytics infrastructure, and collaborate closely with our Chief Risk Officer on developing, validating, and automating our customer conversion and underwriting models While a background in financial services is not required, you must be passionate about tackling complex data challenges for the benefit of small and medium businesses everywhere Job Responsibility: - Drive the ongoing advancement and refinement of Biz2Credit's credit decisioning & pricing model optimizing risk and return while dramatically reducing decision cycle times Continuously evaluate alternative data sources and structures to document and improve the efficacy of our customer conversion models and processes Harness the power of Biz2Credit's technology to proactively identify emerging risks as well as opportunities with our customers Play a key role in the design and implementation of ongoing operational and risk reporting and analytics Work on data projects and proposals involving Biz2Credit's financial services partners worldwide (banks, non-banks, debt investors, equity investors and others) to analyze, classify and visualize credit-related data Perform ad hoc analyses on customer, business, and portfolio trends to generate actionable insights for internal and external stakeholders Manage multiple projects and priorities while delivering accurate & timely results in a fastpaced environment Requirements Degree in Statistics, Applied Mathematics, Engineering, Computer Science or other quantitative fields from leading university; Advanced degree preferred 3-6 years of experience in applied data science or machine learning roles Hands-on experience with LLMs and GenAI applications Expertise in Python and ML frameworks such as TensorFlow, PyTorch, Scikit-learn Strong experience in deep learning, NLP, and generative models (e-g , VAEs, GANs, Diffusion models) Experience with prompt engineering, fine-tuning, RAG (Retrieval-Augmented Generation), or model distillation Proficiency in SQL, data wrangling, and working with large datasets Familiarity with MLOps tools (e-g , MLflow, Airflow, Kubeflow) and cloud platforms (AWS/GCP/Azure) Preferred Qualifications Published work in ML/AI journals or major conferences (NeurIPS, ICML, ACL, CVPR, etc) Experience building and deploying LLM-powered applications in production Background in reinforcement learning, time series forecasting, or causal inference Understanding data privacy, model fairness, and ethical AI consideration