
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.

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We are looking to expand our existing Python team across our offices in Surat.
The requirements are as follows:
1) Familiar with the the Django REST API Framework.
2) Experience with the FAST API framework will be a plus
3) Strong grasp of basic python programming concepts ( We do ask a lot of questions on this on our interviews :) )
4) Experience with databases like MongoDB , Postgres , Elasticsearch , REDIS will be a plus
5) Experience with any ML library will be a plus.
6) Familiarity with using git , writing unit test cases for all code written and CI/CD concepts will be a plus as well.
7) Familiar with basic code patterns like MVC.
8) Grasp on basic data structures.
Description of Role
- We are looking for an enthusiastic analytically minded data driven BI Consultant/Developer role in Mumbai based Data & Analytics team
- The Business Intelligence consultant/developer is a member of the analytics team whose focus is to provide hands-on consulting and
- · Understand and document the reporting business requirements, processes and workflows developing both written and visual depictions of requirements and process flows.
- · Work closely with BI product manager & lead dashboard design and information presentation ideation meetings with business stakeholders.
- Works extensively in Tableau Desktop, MS Power BI designing and building highly customized dashboards to provide stunning visual anal build assets like datasets, reports and dashboards using tools like Tableau, Powerbi & dataiku for internal customers within investment (Performance, Marketing, Sales etc.)
Key responsibilities
- · Builds Tableau/Power BI Data Models utilizing best practices, ensures data accuracy and ability to blend with other certified data sources.
- · Understand Analytics & Business Intelligence framework and partner with Analytics Technology & Enterprise reporting Technology team to build & deploy reports and dashboards.
- · Evaluate data sources and technology options, recommend appropriate solutions.
- · Build and maintain a reporting data dictionary and data lineage.
- · Perform data analysis, data mapping, and develop ad hoc queries.
- · Write SQL queries, stored procedures, and scripts, ETL jobs.
- · Perform QA testing of developed deliverables and assist with User Acceptance Testing
- · Manage the prioritization, logging and tracking of user related issues, defects, enhancements, and work requests.
Experience and Skills
- · Analytic and data driven mindset with a finesse to build dashboards that tell a story.
- · Strong communication skills, interacting effectively with quantitative colleagues as well as less technical audiences.
- · Minimum of 5 years of proven experience creating Dashboards, Reports and Visualizations with interactive capabilities.
- · Minimum of 5 years’ experience in business/data analysis and data preparation
- · Minimum 2 years of experience in working with big data & building data apps using Python.
- · Broad industry knowledge of investment management a plus
- · Excellent verbal and writing skills in English.
- · Excellent time management and ability to work under pressure to meet tight deadlines.
- · Maintain a strong commitment to quality.
Job Title: Jewellery Designer
Location: Dubai
Experience: 5+ years
Key Requirements:
- Expertise in designing high-quality jewellery.
- Proficient in design software (e.g., Rhino, Matrix, CAD).
- Strong creativity and attention to detail.
- Knowledge of market trends and client preferences.
Required Skills:
"Overall 5-9 years of experience
Experience of working in Agile projects and aware of key Agile concepts
Good Problem solving and communication skills
Team player, hard working and innovative in his approach
Having stretch mindset and eagerness to learn/adopt new frameworks.
Expertise in Java 8 version or later
Hands on coding experience in Core Java ,Java, J2ee
Should have experience in Spring Boot
Should have good experience in Hibernate, Spring DATA JPA
Experience in RestFull Web services and microservices
Hands on knowledge in JMS and messaging Queues
Hands on Knowledge in Open API spec / swagger 2.0
Hands on knowledge in writing unit test cases using java test framework (Junits, Mockito)
Strong Ability to troubleshoot vulenerabilities and sonar issues and remediate with appropriate sonar rules compliant solution.
Should have hands on experience in SDLC
Should have an excellent client interaction background with Smart, Innovative, Enthusiastic, Proactive
Nice to Have
------------
Knowledge in kafka integeration
knowledge in OCP4 configs and deployment
Knowledge on secret Vaulting
Experience working in Agile project
- Knowledge on CI/CD process.
Experience Level: Overall 15 - 20 years and minimum 5 years as Product QA Leader
Mandatory Skills:
• Passion for technology with a commitment to quality
• Hands-on skills as regards Product/Platform QA Strategy, Automation Testing, Regression Testing
and Testing Methodologies
• QA Leadership, Mobile App (iOS/Android) Testing, Program Management, Agile / Scaled Agile / Lean
methodologies
• Product Release Test Management, Product Maintenance Test Management
• Understanding of Retail, E-commerce industry (good to have)
• Understanding and hands-on knowledge of Jira, Xray, Automation, Regression Tools
• Demonstrated experience in test planning for complex features/systems
• Ability to work independently and thrive while focusing on the details, such as spotting subtle
problems, raising issues, and taking ownership of the solution
• Demonstrated experience in QA project management over multiple products, simultaneously
• Excellent communication skills


XressBees – a logistics company started in 2015 – is amongst the fastest growing companies of its sector. Our
vision to evolve into a strong full-service logistics organization reflects itself in the various lines of business like B2C
logistics 3PL, B2B Xpress, Hyperlocal and Cross border Logistics.
Our strong domain expertise and constant focus on innovation has helped us rapidly evolve as the most trusted
logistics partner of India. XB has progressively carved our way towards best-in-class technology platforms, an
extensive logistics network reach, and a seamless last mile management system.
While on this aggressive growth path, we seek to become the one-stop-shop for end-to-end logistics solutions. Our
big focus areas for the very near future include strengthening our presence as service providers of choice and
leveraging the power of technology to drive supply chain efficiencies.
Job Overview
XpressBees would enrich and scale its end-to-end logistics solutions at a high pace. This is a great opportunity to join
the team working on forming and delivering the operational strategy behind Artificial Intelligence / Machine Learning
and Data Engineering, leading projects and teams of AI Engineers collaborating with Data Scientists. In your role, you
will build high performance AI/ML solutions using groundbreaking AI/ML and BigData technologies. You will need to
understand business requirements and convert them to a solvable data science problem statement. You will be
involved in end to end AI/ML projects, starting from smaller scale POCs all the way to full scale ML pipelines in
production.
Seasoned AI/ML Engineers would own the implementation and productionzation of cutting-edge AI driven algorithmic
components for search, recommendation and insights to improve the efficiencies of the logistics supply chain and
serve the customer better.
You will apply innovative ML tools and concepts to deliver value to our teams and customers and make an impact to
the organization while solving challenging problems in the areas of AI, ML , Data Analytics and Computer Science.
Opportunities for application:
- Route Optimization
- Address / Geo-Coding Engine
- Anomaly detection, Computer Vision (e.g. loading / unloading)
- Fraud Detection (fake delivery attempts)
- Promise Recommendation Engine etc.
- Customer & Tech support solutions, e.g. chat bots.
- Breach detection / prediction
An Artificial Intelligence Engineer would apply himself/herself in the areas of -
- Deep Learning, NLP, Reinforcement Learning
- Machine Learning - Logistic Regression, Decision Trees, Random Forests, XGBoost, etc..
- Driving Optimization via LPs, MILPs, Stochastic Programs, and MDPs
- Operations Research, Supply Chain Optimization, and Data Analytics/Visualization
- Computer Vision and OCR technologies
The AI Engineering team enables internal teams to add AI capabilities to their Apps and Workflows easily via APIs
without needing to build AI expertise in each team – Decision Support, NLP, Computer Vision, for Public Clouds and
Enterprise in NLU, Vision and Conversational AI.Candidate is adept at working with large data sets to find
opportunities for product and process optimization and using models to test the effectiveness of different courses of
action. They must have knowledge using a variety of data mining/data analysis methods, using a variety of data tools,
building, and implementing models, using/creating algorithms, and creating/running simulations. They must be
comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion
for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
Roles & Responsibilities
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Building cloud services in Decision Support (Anomaly Detection, Time series forecasting, Fraud detection,
Risk prevention, Predictive analytics), computer vision, natural language processing (NLP) and speech that
work out of the box.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Build core of Artificial Intelligence and AI Services such as Decision Support, Vision, Speech, Text, NLP, NLU,
and others.
● Leverage Cloud technology –AWS, GCP, Azure
● Experiment with ML models in Python using machine learning libraries (Pytorch, Tensorflow), Big Data,
Hadoop, HBase, Spark, etc
● Work with stakeholders throughout the organization to identify opportunities for leveraging company data to
drive business solutions.
● Mine and analyze data from company databases to drive optimization and improvement of product
development, marketing techniques and business strategies.
● Assess the effectiveness and accuracy of new data sources and data gathering techniques.
● Develop custom data models and algorithms to apply to data sets.
● Use predictive modeling to increase and optimize customer experiences, supply chain metric and other
business outcomes.
● Develop company A/B testing framework and test model quality.
● Coordinate with different functional teams to implement models and monitor outcomes.
● Develop processes and tools to monitor and analyze model performance and data accuracy.
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Deliver machine learning and data science projects with data science techniques and associated libraries
such as AI/ ML or equivalent NLP (Natural Language Processing) packages. Such techniques include a good
to phenomenal understanding of statistical models, probabilistic algorithms, classification, clustering, deep
learning or related approaches as it applies to financial applications.
● The role will encourage you to learn a wide array of capabilities, toolsets and architectural patterns for
successful delivery.
What is required of you?
You will get an opportunity to build and operate a suite of massive scale, integrated data/ML platforms in a broadly
distributed, multi-tenant cloud environment.
● B.S., M.S., or Ph.D. in Computer Science, Computer Engineering
● Coding knowledge and experience with several languages: C, C++, Java,JavaScript, etc.
● Experience with building high-performance, resilient, scalable, and well-engineered systems
● Experience in CI/CD and development best practices, instrumentation, logging systems
● Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights
from large data sets.
● Experience working with and creating data architectures.
● Good understanding of various machine learning and natural language processing technologies, such as
classification, information retrieval, clustering, knowledge graph, semi-supervised learning and ranking.
● Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest,
Boosting, Trees, text mining, social network analysis, etc.
● Knowledge on using web services: Redshift, S3, Spark, Digital Ocean, etc.
● Knowledge on creating and using advanced machine learning algorithms and statistics: regression,
simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
● Knowledge on analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Core metrics,
AdWords, Crimson Hexagon, Facebook Insights, etc.
● Knowledge on distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, MySQL, Kafka etc.
● Knowledge on visualizing/presenting data for stakeholders using: Quicksight, Periscope, Business Objects,
D3, ggplot, Tableau etc.
● Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural
networks, etc.) and their real-world advantages/drawbacks.
● Knowledge of advanced statistical techniques and concepts (regression, properties of distributions,
statistical tests, and proper usage, etc.) and experience with applications.
● Experience building data pipelines that prep data for Machine learning and complete feedback loops.
● Knowledge of Machine Learning lifecycle and experience working with data scientists
● Experience with Relational databases and NoSQL databases
● Experience with workflow scheduling / orchestration such as Airflow or Oozie
● Working knowledge of current techniques and approaches in machine learning and statistical or
mathematical models
● Strong Data Engineering & ETL skills to build scalable data pipelines. Exposure to data streaming stack (e.g.
Kafka)
● Relevant experience in fine tuning and optimizing ML (especially Deep Learning) models to bring down
serving latency.
● Exposure to ML model productionzation stack (e.g. MLFlow, Docker)
● Excellent exploratory data analysis skills to slice & dice data at scale using SQL in Redshift/BigQuery.
- Mapping micromarkets to identify potential salons for signing up in the Ekanek's Salon Partnership Program
- Setting up discussions with salon owners/key decision makers
- Pitching Ekanek's products/service assortment to the salon owners/decision makers
- Ensuring pre-work for launching program is on track
- Monitoring salon performance in the program
- Maintaining meaningful relationships with existing clients to ensure they are retained
- Escalating and resolving salon issues with customer experience team
- Identifying new clients through direct contact, word-of-mouth, and collaboration with the marketing department.
- Attending networking activities to research and connect with prospective clients.
- Upselling other products/services to salon owner/decision makers
This person MUST have:
- Min of 3-5 prior experience as a DevOps Engineer.
- Expertise in CI/CD pipeline maintenance and enhancement specifically Jenkins based pipelines.
- Working experience with engineering tools like git, git work flow, bitbucket, JIRA etc
- Hands-on experience deploying and managing infrastructure with CloudFormation/Terraform
- Experience managing AWS infrastructure
- Hands on experience of Linux administration.
- Basic understanding of Kubernetes/Docker orchestration
- Works closely with engineering team for day to day activities
- Manges existing infrastructure/Pipelines/Engineering tools (On Prem or AWS) for engineering team (Build servers/Jenkin nodes etc.)
- Works with engineering team for new config required for infra like replicating the setups, adding new resources etc.
- Works closely with engineering team for improving existing pipelines for build .
- Troubleshoots problems across infrastructure/services
Experience:
- Min 5-7 year experience
Location
- Remotely, anywhere in India
Timings:
- 40 hours a week (11 AM to 7 PM).
Position:
- Full time/Direct
- We have great benefits such as PF, medical insurance, 12 annual company holidays, 12 PTO leaves per year, annual increments, Diwali bonus, spot bonuses and other incentives etc.
- We dont believe in locking in people with large notice periods. You will stay here because you love the company. We have only a 15 days notice period.
Understanding PowerApps formulas and development methods. Ability to develop
POWER BI Min 2+ years of hand on experience in POWER BI Reports and dashboard development, MS SSAS, MS SSAS & POWER BI Candidate
Should have hands on experience on writing complex SQL queriesworkflows using PowerApps and Microsoft PowerAutomate.
Customizing SharePoint lists and disparate systems with PowerApps Knowledge of PowerApps and PowerAutomate licensing Automating business processes with Microsoft PowerAutomate.
Automating business processes with Microsoft PowerAutomate.
Ability to create custom connectors for Microsoft PowerAutomate.
Experience with API or rest services integrations.
Understanding of how to implement solutions with multiple data source Understanding PowerApps formulas and development methods

