The L1/L2 Laptop/LAN Support Technician is responsible for providing technical assistance and support related to laptop and Local Area Network (LAN) systems. This role involves troubleshooting, maintaining, and repairing hardware and software issues, ensuring minimal downtime, and providing excellent customer service to end-users. The technician will handle both Level 1 (basic) and Level 2 (intermediate) support tasks, escalating more complex issues to higher-level support teams when necessary.
Key Responsibilities:
1. Technical Support:
- Provide first-level (L1) and second-level (L2) technical support for laptops, desktops, and LAN systems.
- Diagnose and resolve hardware and software issues related to laptops, desktops, printers, and other peripherals.
- Troubleshoot network connectivity issues, including wired and wireless connections.
- Install, configure, and update operating systems, drivers, and software applications.
2. Network Support
- Assist in the setup, configuration, and maintenance of LAN infrastructure, including routers, switches, and access points.
- Monitor network performance and troubleshoot network-related issues.
- Ensure network security by implementing and maintaining firewalls, VPNs, and other security measures.
3. Hardware Maintenance
- Perform hardware repairs and upgrades on laptops and desktops, including replacing hard drives, memory, and other components.
- Conduct routine maintenance and inspections of hardware to ensure optimal performance.
- Manage inventory of spare parts and equipment.
4. User Assistance
- Provide hands-on and remote support to end-users, guiding them through troubleshooting steps and resolving issues.
- Educate users on basic troubleshooting techniques and best practices for using laptops and LAN systems.
- Create and update user documentation and FAQs.
5. Incident Management
- Log and track support tickets using a ticketing system, ensuring timely resolution and follow-up.
- Escalate complex issues to L3 support or other specialized teams as needed.
- Maintain detailed records of issues, resolutions, and user interactions.
6. Compliance and Security
- Ensure compliance with company policies and procedures related to IT security and data protection.
- Implement and enforce security measures to protect sensitive information and prevent unauthorized access.
7. Collaboration
- Work closely with other IT team members to ensure seamless support and service delivery.
- Participate in team meetings, training sessions, and knowledge-sharing activities.
Qualifications:
- High school diploma or equivalent; associate or bachelor’s degree in Information Technology, Computer Science, or related field preferred.
Technical Skills:
- Proficiency in Windows and macOS operating systems.
- Knowledge of networking protocols, including TCP/IP, DNS, DHCP, and VPN.
- Familiarity with remote desktop tools and support software.
- Basic understanding of cybersecurity principles and practices.
Soft Skills:
- Strong problem-solving and analytical skills.
- Excellent communication and interpersonal skills.
- Ability to work independently and as part of a team.
- Customer-focused with a commitment to providing high-quality support.
Experience: 5 years
No. of Positions: 2
Job Type: Full-time
Benefits: Health Insurance
Work Days: Monday to Friday
Shubham Vishwakarma
Full Stack Developer - Averlon
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PHP
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- An attractive and varied job with a high level of personal responsibility;
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- Interested? Join us and start your learning and growth journey.
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Benison Technologies was started in 2011 with a mission to revolutionize the silicon industry in India, with a host of amazing big clients like Google, Cisco, McAfee, Intel, and so on, you get to experience the best of both worlds. If you consider yourself an engineer who is capable to join our ever-growing team, then this is the right opportunity for you:
Why Benison Tech?
We have a partial acquisition from one of the biggest names in the world (well we cant name them thanks to confidentiality) it’s one of the FAANG companies, and you can “Google” it if you like.
Oh! & one more thing, this did not happen by accident, our team put a ton of efforts to turn this gigantic dream into a reality.
Benison Tech has a consistent history of demonstrating growth through innovation time and again.
We don’t stop there, we then re-invest our profits back into the initiatives for the growth of our people, our culture and the company. Now enough with us, let’s talk about the job roles & responsibilities:
What you will be working on:
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- In addition to development, you will also get your hands involved in the architectural changes while fixing the legacy issues.
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- Key contributor for developing product strategies and features.
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Here are some technical skills required:
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- Good exposure to Makefiles, and building RPMs.
- Working to develop and test complex systems software, software development tools, applications, drivers, numerical methods, UIs, and web.
- May work directly with companies developing and optimising compilers, operating systems, and other software technologies.
- Designing & coding to support new features in the OS or Products.
- Debugging kernel code.
- Debugging customer issues.
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What we expect from you:
- 3 Years of relevant Experience
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Head to our website https://benisontech.com/">https://benisontech.com to learn more.
Data Science
Machine Learning (ML)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.
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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.
Job Description
Who are we looking for?
A senior level Java-J2EEE lead to manage a critical project for one of the biggest clients in banking domain. The Individual should be passionate about technology, experienced in developing and managing cutting edge technology applications.
We are looking for people from the trading background
Technical Skills:
- An excellent tech Lead or application architect with strong experience in monolithic Java legacy applications, modern cloud-native
- Strong hands-on experience in Spring, Core Java specifically on multi-threading, concurrency, memory management process, and fair understanding on network communication & protocols.
- experience working in software development on low-latency and high performing systems
- Experienced to guide & mentor the offshore team members, validating application deliverables on regular basis
- Ability to work in a collaborative manner with peers across different time zones.
- Passionate about good design and code quality and have strong engineering practices
- Experience working on GCP will be preferred.
Process Skills:
- Experience in analyzing requirements and develop software as per project defined software process
- Develop and review design, code
- Develop and document architecture framework, technical standards, and application roadmap
- Guide development teams to comply with the architecture and development standards and ensure quality application is designed, developed, and delivered
- Must have excellent communication skills.
Behavioral Skills:
- Resolve technical issues of projects and Explore alternate designs
- Effectively collaborates and communicates with the stakeholders and ensure client satisfaction
- Mentor, Train and coach members of project groups to ensure effective knowledge management activity.
Certification:
- Ultimate sun Java and GCP Certified
Ruby on Rails (ROR)
Go Programming (Golang)
NodeJS (Node.js)Roles/Responsibilities
- Own the coding/design of a sub-module
- Review the requirements and provide simple solutions
- Design the sub-module working with the tech-lead
- Hands-on code the critical parts of the module
- Ensure coding standards, proper design patterns, writing test cases and project mgmt processes are followed
- Mentor the junior programmers
- Peer and junior programmers code review
- Work independently and proactively to deliver production-ready code with minimal guidance
Jobs Skills required
- Strong experience in developing either backend or front end systems
- Backend Exp: RoR, NodeJS, Java, Go, MySQL, Mongo
- Ability to work in a team structure and deliver projects
- Very strong analytical and problem solving skills in super changing environment
- Understanding of algorithms and data structures
Machine Learning (ML)
Python
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon