Sales Executive

Job description

Location - Airoli ( Navi Mumbai)

CTC - Upto 50 LPA

Experience- 14 - 18 years

· Responsible for Design, planning and implement the best of art network technologies.

· Analyse business IT needs and requirements to develop technical solutions.

· Design network systems to meet business needs, including LANs, WANs, intranets, Internet connections, Cloud network, data communication networks, etc.

· Perform network modelling, analysis, budgeting, and planning tasks.

· Experience in Troubleshoot complex networks, identifying and correcting technical issues.

· Act as L4 during crisis/incident event management incidents as needed.

· Cross team /partner engagements to represent Project concerns/needs.

· Provide leadership to manage demands from projects and technology upgrades including recommendations for vendor tools/solutions and global alignment of networks.

· Manage oversight of complex network operations processes based on a combination of vendors, custom solutions, and internal resources.

· Decision making authority is broad and can have significant material impact on cost, business planning and success of Bank core business.

· Support adoption of new technologies and tools, recommend capability improvements to network engineering, and assist in lab/ QA deployments for technology trials.

· Ensure that information security and risk management are embedded within the culture requiring continuous improvement to a complex set of functions to coordinate security and compliance risks related to information systems and assets.

· Direct and manage network-related projects from initiation to completion. Coordinate with cross-functional teams to ensure projects are delivered on time, within scope, and within budget.

· Direct the continuous and secure maintenance of the corporate, data centre, and cloud networking infrastructure, including network security and Disaster Recovery & Business Continuity Plans.

Data Scientist – Program Embedded 

Job Description:   

We are seeking a highly skilled and motivated senior data scientist to support a big data program. The successful candidate will play a pivotal role in supporting multiple projects in this program covering traditional tasks from revenue management, demand forecasting, improving customer experience to testing/using new tools/platforms such as Copilot Fabric for different purpose. The expected candidate would have deep expertise in machine learning methodology and applications. And he/she should have completed multiple large scale data science projects (full cycle from ideation to BAU). Beyond technical expertise, problem solving in complex set-up will be key to the success for this role. This is a data science role directly embedded into the program/projects, stake holder management and collaborations with patterner are crucial to the success on this role (on top of the deep expertise). 

What we are looking for: 

1. Highly efficient in Python/Pyspark/R. 
2. Understand MLOps concepts, working experience in product industrialization (from Data Science point of view). Experience in building product for live deployment, and continuous development and continuous integration. 
3. Familiar with cloud platforms such as Azure, GCP, and the data management systems on such platform. Familiar with Databricks and product deployment on Databricks. 
4. Experience in ML projects involving techniques: Regression, Time Series, Clustering, Classification, Dimension Reduction, Anomaly detection with traditional ML approaches and DL approaches. 
5. Solid background in statistics, probability distributions, A/B testing validation, univariate/multivariate analysis, hypothesis test for different purpose, data augmentation etc. 
6. Familiar with designing testing framework for different modelling practice/projects based on business needs. 
7. Exposure to Gen AI tools and enthusiastic about experimenting and have new ideas on what can be done. 
8. If they have improved an internal company process using an AI tool, that would be great (e.g. process simplification, manual task automation, auto emails) 
9. Ideally, 10+ years of experience, and have been on independent business facing roles. 
10. CPG or retail as a data scientist would be nice, but not number one priority, especially for those who have navigated through multiple industries. 
11. Being proactive and collaborative would be essential. 

Some projects examples within the program: 

1. Test new tools/platforms such as Copilo, Fabric for commercial reporting. Testing, validation and build trust. 
2. Building algorithms for predicting trend in category, consumptions to support dashboards. 
3. Revenue Growth Management, create/understand the algorithms behind the tools (can be built by 3rd parties) we need to maintain or choose to improve. Able to prioritize and build product roadmap. Able to design new solutions and articulate/quantify the limitation of the solutions. 
4. Demand forecasting, create localized forecasts to improve in store availability. Proper model monitoring for early detection of potential issues in the forecast focusing particularly on improving the end user experience. 

Vue.JS Developer

1.   Should have worked in Agile methodology

2.   Should have at least 5+ years of experience

3.   Should have expertise in creating reusable components and coupling including routings

4.   Should have good knowledge of data visualization in Reports/Charts