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The Cyber Security Analyst will help to assess, plan, and enact security measures to protect the Hubbell organization from security breaches and attacks on its computer networks and systems. This job involves simulating attacks to identify vulnerabilities, testing new software to help protect the
company & data, and assisting users in adhering to new regulations and processes to ensure safety and compliance. The Cyber Security Analyst will work as part of the Security Operations team to execute, monitor and report-out on the scheduled tasks associated with maintaining the overall cyber hygiene for the company
Respond and investigate security breaches and other cybersecurity incidents.
Install security measures and operate software to protect systems and information infrastructure, including firewalls and data encryption programs.
Work in conjunction with the cybersecurity team to develop automation for scheduled tasks and reporting
Respond to specific threats, evaluating company exposure, and risk.
Assist in the execution of penetration testing.
Research security enhancements and make recommendations to management.
Stay up to date on cybersecurity trends, threats, and remediation
Attend daily security operations meetings
Qualifications
A degree in Computer Science, IT, Systems Engineering or a related qualification
2-3 years of experience with software development in C-Sharp, Python or Java
2 years of experience with scripting tools such as PowerShell, Unix Bash and Bourne
Familiarity with patch management
Familiar with common cyber frameworks and tools such as NIST and MITRE Attack
Awareness of common cybersecurity threats and hacking methodologies
Preferred
Previous experience with Incident response and forensics
Knowledge Network security and segmentation
- Good understanding of NODE JS back-end development
- Strong understanding of Node.js and frameworks available for it
- Understanding of front-end technologies, such as React or Angular, HTML and CSS3
-Solid understanding of object-oriented development and design patterns.
- Good experience with AJAX, REST and JSON
- Experience with development practices such as Test-Driven Development and Continuous Integration
-Experience in Version Control Systems like GIT, Bitbucket
- Must have good problem solving and analytical skills.
- Must be a team player, having good communication skills, self-starter
- Ability to pick up new technology is needed.
Greetings!
Hiring the below position for one of our premium client.
Role: PEGA Developer
Experience: 5-15 years
Location: PAN India
Certification: CSA & CSSA mandatory
- 4.5 - 9 of experience in Pega Development with Pega relevant certification.
- Working experience in Pega PRPC and Pega layer cake structure, class structure rule resolution ruleset structure, portals views and harness components.
- Basic data storage and database query knowledge through Pega.
- Good knowledge around integration and exposure to REST and SOAP APIs.
- Good to have knowledge and experience on at least one Pega Industry framework.
- Should be able to track and manage own tasks.
- Should have very good verbal and written communication
Job Description:
1.Be a hands on problem solver with consultative approach, who can apply Machine Learning & Deep Learning algorithms to solve business challenges
a. Use the knowledge of wide variety of AI/ML techniques and algorithms to find what combinations of these techniques can best solve the problem
b. Improve Model accuracy to deliver greater business impact
c.Estimate business impact due to deployment of model
2.Work with the domain/customer teams to understand business context , data dictionaries and apply relevant Deep Learning solution for the given business challenge
3.Working with tools and scripts for sufficiently pre-processing the data & feature engineering for model development – Python / R / SQL / Cloud data pipelines
4.Design , develop & deploy Deep learning models using Tensorflow / Pytorch
5.Experience in using Deep learning models with text, speech, image and video data
a.Design & Develop NLP models for Text Classification, Custom Entity Recognition, Relationship extraction, Text Summarization, Topic Modeling, Reasoning over Knowledge Graphs, Semantic Search using NLP tools like Spacy and opensource Tensorflow, Pytorch, etc
b.Design and develop Image recognition & video analysis models using Deep learning algorithms and open source tools like OpenCV
c.Knowledge of State of the art Deep learning algorithms
6.Optimize and tune Deep Learnings model for best possible accuracy
7.Use visualization tools/modules to be able to explore and analyze outcomes & for Model validation eg: using Power BI / Tableau
8.Work with application teams, in deploying models on cloud as a service or on-prem
a.Deployment of models in Test / Control framework for tracking
b.Build CI/CD pipelines for ML model deployment
9.Integrating AI&ML models with other applications using REST APIs and other connector technologies
10.Constantly upskill and update with the latest techniques and best practices. Write white papers and create demonstrable assets to summarize the AIML work and its impact.
· Technology/Subject Matter Expertise
- Sufficient expertise in machine learning, mathematical and statistical sciences
- Use of versioning & Collaborative tools like Git / Github
- Good understanding of landscape of AI solutions – cloud, GPU based compute, data security and privacy, API gateways, microservices based architecture, big data ingestion, storage and processing, CUDA Programming
- Develop prototype level ideas into a solution that can scale to industrial grade strength
- Ability to quantify & estimate the impact of ML models.
· Softskills Profile
- Curiosity to think in fresh and unique ways with the intent of breaking new ground.
- Must have the ability to share, explain and “sell” their thoughts, processes, ideas and opinions, even outside their own span of control
- Ability to think ahead, and anticipate the needs for solving the problem will be important
· Ability to communicate key messages effectively, and articulate strong opinions in large forums
· Desirable Experience:
- Keen contributor to open source communities, and communities like Kaggle
- Ability to process Huge amount of Data using Pyspark/Hadoop
- Development & Application of Reinforcement Learning
- Knowledge of Optimization/Genetic Algorithms
- Operationalizing Deep learning model for a customer and understanding nuances of scaling such models in real scenarios
- Optimize and tune deep learning model for best possible accuracy
- Understanding of stream data processing, RPA, edge computing, AR/VR etc
- Appreciation of digital ethics, data privacy will be important
- Experience of working with AI & Cognitive services platforms like Azure ML, IBM Watson, AWS Sagemaker, Google Cloud will all be a big plus
- Experience in platforms like Data robot, Cognitive scale, H2O.AI etc will all be a big plus
A Desktop Support Engineer is responsible for providing technical support for computer hardware and software issues in an organization's desktop environment. The role involves assisting employees with troubleshooting, maintaining, and resolving issues related to their desktops, laptops, and peripherals.
Job Summary:
- Hardware Support:
- Install, configure, and maintain desktops, laptops, and peripherals (printers, monitors, etc.).
- Perform hardware repairs and upgrades.
- Software Support:
- Troubleshoot and resolve software-related issues, including OS installations, software updates, and application support.
- Ensure proper functioning of office productivity software (MS Office, etc.) and enterprise applications.
- Network Support:
- Provide assistance in connecting workstations to the company network and resolving connectivity issues.
- Troubleshoot network-related issues on desktops and laptops.
- User Support:
- Assist employees with troubleshooting technical problems, including login issues, system crashes, and application errors.
- Offer guidance on proper system usage and IT best practices.
- System Maintenance:
- Regularly update and patch desktop systems to ensure security and functionality.
- Backup important files and data as per company policy.
- Documentation:
- Maintain logs of issues, solutions, and configurations for future reference.
- Document common problems and resolutions for knowledge-sharing purposes.
- Customer Service:
- Provide excellent customer service and maintain a professional demeanor when dealing with users' technical issues.
Key Skills:
- Technical Knowledge: Proficient in desktop operating systems (Windows, Mac OS, Linux) and office software.
- Problem-Solving: Ability to diagnose and resolve technical issues efficiently.
- Communication: Strong verbal and written communication skills to interact with end-users.
- Networking Basics: Understanding of network configurations and troubleshooting.
- Time Management: Capable of handling multiple requests and prioritizing tasks.
- Performs implementation of high level design and specifications.
- Develops low level design, class diagrams, flow charts.
- Performs Unit testing of individually developed components and fix errors, if any
- Assist in preparation of design, technical reference & operational documentation, packaging document in collaboration with the Lead.
- Strives for technology innovation in terms of exploring new and efficient ways of writing code
- Is responsible for writing simple, reusable code by following coding standards
- Ensure proper documentation of implementation and reviews.
- Ensure timely follow ups and escalations with leads with respect to any process gaps/risks/impediments.
Responsibilities
- Writing clean, high-quality, high-performance, maintainable code
- Develop and support software including applications, database integration, interfaces, and new functionality enhancements
- Responsible for the product development and maintenance
- Analyze and resolve performance bottlenecks
Requirements
- 3+ Years of experience in Web Application Development
- Should excel in working with large-scale applications and frameworks
- Expert in Programming using Angular 8/10/11, Web API
- Should have knowledge in Relational and Non-Relational databases (NO SQL).
- Strong knowledge of SDLC methodologies – Agile/Scrum
- Very good development skills in front end technologies/javascript.
- Good understanding of Object-Oriented Programming, Design Concepts & Unit Testing
- Good understanding of Web Security Concepts
- Developing and maintaining all server-side network components.
- Ensuring optimal performance of the central database and responsiveness to front-end requests.
- Collaborating with front-end developers on the integration of elements.
- Designing customer-facing UI and back-end services for various business processes.
- Developing high-performance applications by writing testable, reusable, and efficient code.
- Implementing effective security protocols, data protection measures, and storage solutions.
- Running diagnostic tests, repairing defects, and providing technical support.
- Documenting Node.js processes, including database schemas, as well as preparing reports.
- Recommending and implementing improvements to processes and technologies.
- Keeping informed of advancements in the field of Node.js development.






