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Noida
4 - 6 yrs
₹12L - ₹13L / yr
Computer Networking
Network
Cisco Certified Network Associate (CCNA)
Neural networks
LAN
+1 more
L2 Network Engineer (NOC - Operation & Monitoring)
We are looking for experienced L2 Network Engineers to join our NOC (Network Operations Center) team. The ideal candidate should have 3+ years of experience in IT networking with expertise in troubleshooting, configuration, and monitoring of network devices.
Job Details:
- Location: Sec-24, Noida, UP
- Working Hours: 9:30 AM – 6:30 PM
- Support Days: Monday to Saturday
- Experience Required: 3+ years in IT Networking
- Education: B.Tech / MCA (Passing year 2021, No distance learning)
- Certifications: CCNA / CCNP
- Salary: ₹3.0 - ₹3.6 LPA
Key Responsibilities:
- Monitor and manage network performance to ensure smooth operations.
- Troubleshoot and configure routers, switches, and other network devices.
- Work with ITSM tools for incident and problem management.
- Analyze and resolve network issues related to IP addressing, subnetting, VLANs, and routing protocols (OSPF, BGP).
- Implement security policies, access controls, and network configurations as per company standards.
- Support and optimize LAN/WAN infrastructure to ensure minimal downtime.
- Configure and manage MPLS, SD-WAN, and VLAN Trunking Protocol (VTP).
- Handle STP (Spanning Tree Protocol), Inter-VLAN Routing, and SNMP monitoring.
Technical Skills Required:
- Networking Protocols: OSPF, BGP, MPLS, ICMP, SNMP
- Network Components: Routers, Switches, Firewalls, Load Balancers
- IP Addressing & Subnetting: IPv4, IPv6, CIDR
- Network Monitoring & ITSM Tools: Experience with at least one tool
- LAN & WAN Technologies: VLAN, Trunking, Inter-VLAN Routing
- Security & Management: Access Control, SNMP Monitoring, Community Strings
Who Should Apply?
- Candidates with strong troubleshooting and network configuration skills.
- Those looking to grow in NOC operations, network monitoring, and L2 network support.
- Individuals with a CCNA/CCNP certification and experience in handling enterprise-level networks.
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NCR (Delhi | Gurgaon | Noida)
2 - 7 yrs
₹4L - ₹9L / yr


Natural Language Processing (NLP)
Artificial Intelligence (AI)

+2 more
Company Profile :
Precily AI is a startup headquartered in Delhi NCR. Precily is currently working with leading consulting & law firms, research firms & technology companies. Aura (Precily AI) is a data- analysis platform for enterprises that increase the efficiency of the workforce by providing AI- based solutions.
Responsibilities & Skills Required :
The role requires deep knowledge in designing, planning, testing and deploying analytics solutions including the following :
1) Natural Language Processing (NLP), Neural Networks, Text Clustering, Topic Modelling, Information Extraction, Information Retrieval, Deep learning, Machine learning, cognitive science, and analytics.
2) Proven experience implementing and deploying advanced AI solutions using R/Python.
3) Apply machine learning algorithms, statistical data analysis, text clustering, summarization, extracting insights from multiple data points.
4) Excellent understanding of Analytics concepts and methodologies including machine learning (unsupervised and supervised).
5) Hand on in handling large amounts of structured and unstructured data.
6) The measure, interpret and derive learning from results of the analysis that will lead to improvements document processing.
Skills Required :
1) Python, R, NLP, NLG, Machine Learning, Deep Learning & Neural Networks
2) Word Vectorizers
3) Word Embeddings ( word2vec & GloVe )
4) RNN ( CNN vs RNN )
5) LSTM & GRU ( LSTM vs GRU )
6) Pretrained Embeddings ( Implementation in RNN )
7) Unsupervised Learning
8) Supervised Learning
9) Deep Neural Networks
10) Framework: Keras/Tensor flow
11) Keras Embedding Layer output
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It is India’s biggest vernacular e-sports gaming platform.
Agency job
via Accord Manpower Services by Silky Malik
NCR (Delhi | Gurgaon | Noida)
3 - 7 yrs
₹12L - ₹34L / yr

Data Structures
Data engineering
Big Data
Neural networks
• Experience with Big Data, Neural network (deep learning), and reinforcement learning
• Ability to design machine learning systems
• Research and implement appropriate ML algorithms and tools
• Develop machine learning applications according to requirements
• Select appropriate datasets and data representation methods
• Run machine learning tests and experiments
• Perform statistical analysis and fine-tuning using test results
• Extend existing ML libraries and frameworks
• Keep abreast of developments in the field
• Understanding of data structures, data modeling and software architecture
• Deep knowledge of math, probability, statistics and algorithms
• Ability to write robust code in Python, Java and R
Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
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