Content Writer

Hi Folks!!

Currently we are hiring for Network Engineer for Top MNC

Roles and Responsibilities:

·      Providing support to the Enterprise level clients in configuration of the Wireless LAN Controllers, Access Points and CPPM server

·      Troubleshooting all kind of network and user connectivity issues post deployment

·      Fault localization and restoration of service over remote session

·      Handling POC cases and escalation tickets as well

·      Making configuration changes as per customer’s requirement and wireless environment

·      Co-ordinate with multi-vendors engineers to have successful user authentication like Layer-2 Security features 802.1x authentication, Port security and VLAN Mobility

·      Co-ordinate with L3 Engineers to resolve critical issues        

·      Effectively handle network outage issues and resolve them in a timely manner

·      Configuring Authentication and encryption in wireless networks with Clear pass

·      Working with AAA configuration, including AD, LDAP, RADIUS for Windows and MAC OS X platform

·      Reviewing the WLAN configuration of customers and identifying any configuration mistakes that could cause potential issues

·      Recreating/simulating the customer’s issues in the local lab to verify the issue and provide an effective resolution

·      Providing network support for client’s wired and wireless networks via remote management and telephone

·      Conduct technical discussion with level 1 engineers on weekly basis

Required Skills:

·      CCNA certified with Wireless Knowledge

·      Basic Knowledge on any of Aruba Clear Pass, FortiNAC, Cisco ISE NAC solution

·      Basic implementation skills on Aruba Clear Pass for Wired, Wireless and Guest NAC solution.

·      Must have experience in configuring switches, routers.

·      Must provide technical support for the team & projects during escalation.

·      Good understanding of dot1x, mac authentication and solution for BYOD

·      Capable to prepare HLD (high level design) and LLD (low level design) for new requirements.

Responsibilities:

• Be the analytical expert in Kaleidofin, managing ambiguous problems by using data to execute sophisticated quantitative modeling and deliver actionable insights.
• Develop comprehensive skills including project management, business judgment, analytical problem solving and technical depth.
• Become an expert on data and trends, both internal and external to Kaleidofin.
• Communicate key state of the business metrics and develop dashboards to enable teams to understand business metrics independently.
• Collaborate with stakeholders across teams to drive data analysis for key business questions, communicate insights and drive the planning process with company executives.
• Automate scheduling and distribution of reports and support auditing and value realization.
• Partner with enterprise architects to define and ensure proposed.
• Business Intelligence solutions adhere to an enterprise reference architecture.
• Design robust data-centric solutions and architecture that incorporates technology and strong BI solutions to scale up and eliminate repetitive tasks

Requirements:

• Experience leading development efforts through all phases of SDLC.
• 5+ years "hands-on" experience designing Analytics and Business Intelligence solutions.
• Experience with Quicksight, PowerBI, Tableau and Qlik is a plus.
• Hands on experience in SQL, data management, and scripting (preferably Python).
• Strong data visualisation design skills, data modeling and inference skills.
• Hands-on and experience in managing small teams.
• Financial services experience preferred, but not mandatory.
• Strong knowledge of architectural principles, tools, frameworks, and best practices.
• Excellent communication and presentation skills to communicate and collaborate with all levels of the organisation.
• Team handling preferred for 5+yrs experience candidates.
• Notice period less than 30 days.

Senior Data Scientist-Job Description

The Senior Data Scientist role is a creative problem solver who utilizes statistical/mathematical principles and modelling skills to uncover new insights that will significantly and meaningfully impact business decisions and actions.  She/he applies their data science expertise in identifying, defining, and executing state-of-art techniques for academic opportunities and business objectives in collaboration with other Analytics team members. The Senior Data Scientist will execute analyses & outputs spanning test design and measurement, predictive analytics, multivariate analysis, data/text mining, pattern recognition, artificial intelligence, and machine learning.

Key Responsibilities:

• Perform the full range of data science activities including test design and measurement, predictive/advanced analytics, and data mining, and analytic dashboards.
• Extract, manipulate, analyse & interpret data from various corporate data sources developing advanced analytic solutions, deriving key observations, findings, insights, and formulating actionable recommendations.
• Generate clearly understood and intuitive data science / advanced analytics outputs.
• Provide thought leadership and recommendations on business process improvement, analytic solutions to complex problems.
• Participate in best practice sharing and communication platform for advancement of the data science discipline.
• Coach and collaborate with other data scientists and data analysts.
• Present impact, insights, outcomes & recommendations to key business partners and stakeholders.
• Comply with established Service Level Agreements to ensure timely, high quality deliverables with value-add recommendations, clearly articulated key findings and observations.

Qualification:

• Bachelor's Degree (B.A./B.S.) or Master’s Degree (M.A./M.S.) in Computer Science, Statistics, Mathematics, Machine Learning, Physics, or similar degree
• 5+ years of experience in data science in a digitally advanced industry focusing on strategic initiatives, marketing and/or operations.
• Advanced knowledge of best-in-class analytic software tools and languages: Python, SQL, R, SAS, Tableau, Excel, PowerPoint.
• Expertise in statistical methods, statistical analysis, data visualization, and data mining techniques.
• Experience in Test design, Design of Experiments, A/B Testing, Measurement Science Strong influencing skills to drive a robust testing agenda and data driven decision making for process improvements
• Strong Critical thinking skills to track down complex data and engineering issues, evaluate different algorithmic approaches, and analyse data to solve problems.
• Experience in partnering with IT, marketing operations & business operations to deploy predictive analytic solutions.
• Ability to translate/communicate complex analytical/statistical/mathematical concepts with non-technical audience.
• Strong written and verbal communications skills, as well as presentation skills.

• Would be responsible for end to end loan processing, from initial receipt of loan application to credit approval stage within TAT parameters.

• Reviewing the loan application.
• Reviewing the credit application
• Credit underwriting 
• KYC verfication.

SiteRecon is looking for an Engineering Leader who can visualize the nuts and bolts of the product architecture and bring it to life. You will be responsible for leading the engineering team and contributing to product conception from an engineering standpoint. You will also be the thought leader for engineering in the team. 

You will lead the development of new smart web applications and you will be mainly involved in the development of our platform (SiteRecon). You will be working in an exciting environment alongside people with tremendous ambition. You will have the freedom to implement your own designs & solutions. You will be working together with the core team of SiteRecon - all graduates from IITs working at the cutting edge for the past few years, CEO, CPO, and CDS. 

Role and Responsibilities:

• Ensure high-quality customer experience through our products. 
• Hiring and retaining engineering teammates. 
• Inculcate a culture where high-quality engineers can thrive and grow. 
• Contribute to product conception from an engineering perspective.
• Take complete, end to end ownership of development and production pipelines of internal tools and consumer-facing products.
• Ensure high performance, reliability, and availability of hosted deep learning and geoprocessing services.
• Translate high-level tasks and product requirement documents into technical design documents and scalable, maintainable and readable codebases.
• Develop and implement high and low-level system design for engineering projects.
• Develop scripts and set up the infrastructure for monitoring and logging for all deployed software.
• Coordinate with internal teams to understand data processing pipelines and provide technical solutions.
• Effectively lead teams of junior developers and ensure high code quality through code reviews, automated linting, etc.
• Represent engineering team before stakeholders outside SiteRecon (users, investors, job candidates)

Does This Sound Like You?

Must Haves:  

• 3+ years of experience in the backend (preferably Django), frontend and software design and architecture.
• Experience with DevOps technologies such as Docker, Kubernetes, Jenkins or CI/CD.
• Knowledge of messaging services like Apache Kafka, RabbitMQ.
• Understanding of cloud services like AWS and GCP.
• Experience working at a startup that scaled while you were there.
• Experience managing a team, converting product requirements into engineering sow.

Good To Haves:  

• Experience with PostGIS or any other geo-database.
• Understanding of Geographic Information Systems and related terminologies.
• Experience in developing production versions of deep learning applications.

Candidate attribute (Culture Fit):

• Comfortable operating in a constantly changing and fast-paced environment.
• A passionate, driven individual who can achieve results through both, independently and teamwork and collaborative approaches.
• Have a strong work ethic and natural ownership ability.

                                                       JD – Engineering Manager Role

Responsibilities:

• Designed, developed and deployed cloud-native applications (we use AWS)
• Working on or leading enterprise tech products and worked with enterprise customers
• Mentor & grow / Hire Engineering Managers to lead up these individual units.
• Work closely with Product Management, Business Development and Operations team and enable them by providing scalable and high quality technology solutions at a rapid pace.
• Set up the organisation & processes to enable timely delivery of projects with high quality.
• Set up best practices for development and champion their adoption.
• Well versed in Software Architecture and Design - You should be able to spot flaws in the existing architecture and design. You would help us refactor and re-architecture the code for easier and faster development.
• Oversee Architecture & design of technically robust, flexible and scalable solutions.
• Perform well in uncertainties and collaborate and work with unclear interfaces to other teams in our rapidly evolving organisations.
• Create clear career paths for team members and help them grow with regular & deep mentoring.
• Identify, define, and coordinate the training needs of the team.
• Perform regular performance evaluation and share and seek feedback on a regular basis
• Building and maintaining data capabilities at KredX while taking care of scaling, privacy and processing aspects.
• Ability to work with external partners and vendors to integrate with KredX product
• Write blogs and other technical papers to share the lessons with community both inside and outside the company and or participates in technical events to get new knowledge to the organisation while improving brand of engineering team at KredX
• Appropriately escalate any issues/concerns that require immediate attention from other affected parties
• Always be thinking about the engineering systems and business from different angles - fraud, downtimes, scale, business direction and more

Requirements:

• Experience in working with large scale unstructured data, and data science
• Deep Understanding of enterprise grade technologies.
• Deep understanding & expertise with highly transactional, large relational and complex systems.
• Strong leadership skills.
• Possess superb troubleshooting and problem analysis skills.
• Knowledgeable about new engineering paradigms and developments in software engineering