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- OWASP Secure Code review,• Basic programing knowledge in any programming language and knowledge on secure development practices.
- OWASP TOP 10 vulnerabilities and their mitigations
- Hands on experience in Web Application Security Testing tools (SAST & DAST) and Penetration testing tools such as HP Fortify, Checkmarx, Acunetix, Nessus, Burp Suite, Metasploit., Qualys Guard, Kali Linux , etc.
- Understand/modify exploit code and find logical security flaws in applications
- Should have knowledge and experience on Network Security, Application Security, Internet Security, attack vectors.
- To carry out technical vulnerability assessments, identify potential vulnerabilities and provide recommended controls and support to mitigate them.
Building the machine learning production (or MLOps) is the biggest challenge most large companies currently have in making the transition to becoming an AI-driven organization. This position is an opportunity for an experienced, server-side developer to build expertise in this exciting new frontier. You will be part of a team deploying state-of-the-art AI solutions for Fractal clients.
Responsibilities
As MLOps Engineer, you will work collaboratively with Data Scientists and Data engineers to deploy and operate advanced analytics machine learning models. You’ll help automate and streamline Model development and Model operations. You’ll build and maintain tools for deployment, monitoring, and operations. You’ll also troubleshoot and resolve issues in development, testing, and production environments.
- Enable Model tracking, model experimentation, Model automation
- Develop ML pipelines to support
- Develop MLOps components in Machine learning development life cycle using Model Repository (either of): MLFlow, Kubeflow Model Registry
- Develop MLOps components in Machine learning development life cycle using Machine Learning Services (either of): Kubeflow, DataRobot, HopsWorks, Dataiku or any relevant ML E2E PaaS/SaaS
- Work across all phases of Model development life cycle to build MLOPS components
- Build the knowledge base required to deliver increasingly complex MLOPS projects on Azure
- Be an integral part of client business development and delivery engagements across multiple domains
Required Qualifications
- 3-5 years experience building production-quality software.
- B.E/B.Tech/M.Tech in Computer Science or related technical degree OR Equivalent
- Strong experience in System Integration, Application Development or Data Warehouse projects across technologies used in the enterprise space
- Knowledge of MLOps, machine learning and docker
- Object-oriented languages (e.g. Python, PySpark, Java, C#, C++)
- CI/CD experience( i.e. Jenkins, Git hub action,
- Database programming using any flavors of SQL
- Knowledge of Git for Source code management
- Ability to collaborate effectively with highly technical resources in a fast-paced environment
- Ability to solve complex challenges/problems and rapidly deliver innovative solutions
- Foundational Knowledge of Cloud Computing on Azure
- Hunger and passion for learning new skills
Roles and Responsibilities:
Curriculum Development:
- Design and develop engaging LMS course content, modules, and assessments.
Content Management:
- Upload, organize, and maintain course materials within the LMS.
Stakeholder Collaboration:
- Work with subject matter experts and department heads to identify training needs and gather content.
Quality Assurance:
- Review and test course content to ensure it meets quality standards.
User Support:
- Provide guidance to learners and develop support materials like user guides and FAQs.
Evaluation and Improvement:
- Assess training effectiveness through evaluations and feedback, and implement improvements.
Qualifications:
- Bachelor’s degree in Education, Instructional Design, HR, or related field.
- Experience in curriculum development and instructional design for LMS.
- Proficiency with LMS software and e-learning authoring tools.
- Strong project management and communication skills.
- Detail-oriented with an analytical mindset.
Regards,
Dhivya V
Primary Skills – SDA, DNAC, Cisco ISE, Routing and switching and Troubleshooting NAC, 802.1x, Supplicant configuration,
Switching Skills- IOS upgrade, SNMP, VLAN, STP, VSL
Routing Skills-OSPF, BGP, ISIS
Network Monitoring Tools- Cisco Prime (Integration, monitoring, and troubleshooting)
- Must have hands on experience in Implementing NAC,802.1x (Wired & Wireless)
- Strong knowledge on CAMPUS LAN Architecture and implementation
- Hands on experience in Routing, Switching, Cisco SDA, DNAC, Cisco ISE, Assurance
- Working experience in Cisco prime infra, Monitoring, Integration and Heat map generation
- Should have detailed technical understanding, troubleshooting of STP protocols (STP, PVST, RSTP, MSTP)
- Perform IOS upgrades on Switches and WLCs
- Troubleshoot skills on Quality of Service, Multicast and HSRP, Dot1x protocols, IPSLA
- Troubleshooting skills on Cisco VSS, VSL and stacking technologies
- Should have detailed technical understanding, troubleshooting and support of, Routing protocols (OSPF, BGP), MPLS in an enterprise environment.
- Perform root cause and troubleshoot network outages
- Should be proficient in Wireless technology, implementation, and troubleshooting
- Deliver reports on the actions performed.
- Hands-on experience with the networking products Like Cisco 6800, 9500,9400,9300, 3800, 2960x and 3650 switches. Juniper EX8200,EX4200,EX3300 and EX2200 switches
- Strong ability to troubleshoot complex network issues and Identify, diagnose, and resolve different types of network problems.
Secondary Skills –
- CCNP Certification
- Project Management: Managing individual network projects within the scope of the Network Team
- Excellent technical and business communication skills, both oral and written
We are looking for a highly capable machine learning engineer to optimize our machine learning systems. You will be evaluating existing machine learning (ML) processes, performing statistical analysis to resolve data set problems, and enhancing the accuracy of our AI software's predictive automation capabilities.
To ensure success as a machine learning engineer, you should demonstrate solid data science knowledge and experience in a related ML role. A first-class machine learning engineer will be someone whose expertise translates into the enhanced performance of predictive automation software.
Machine Learning Engineer Responsibilities:
Consulting with managers to determine and refine machine learning objectives.
Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models.
Transforming data science prototypes and applying appropriate ML algorithms and tools.
Ensuring that algorithms generate accurate user recommendations.
Turning unstructured data into useful information by auto-tagging images and text-to-speech conversions.
Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.
Developing ML algorithms to analyze huge volumes of historical data to make predictions.
Running tests, performing statistical analysis, and interpreting test results.
Documenting machine learning processes.
Keeping abreast of developments in machine learning.
Machine Learning Engineer Requirements:
Bachelor's degree in computer science, data science, mathematics, or a related field.
Master’s degree in computational linguistics, data analytics, or similar will be advantageous.
At least two years' experience as a machine learning engineer.
Advanced proficiency with Python, Java, and R code writing.
Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.
In-depth knowledge of mathematics, statistics, and algorithms.
Superb analytical and problem-solving abilities.
Great communication and collaboration skills.
Excellent time management and organizational abilities.
A Node.js job description typically outlines the responsibilities, qualifications, and expectations for a Node.js developer or related role. Node.js is a popular runtime environment for executing JavaScript on the server-side, making it an essential technology for web and application development. Below is a sample Node.js job description:
Job Title: Node.js Developer
Job Description:
Position Overview:
We are seeking a skilled Node.js developer to join our dynamic team. As a Node.js developer, you will be responsible for designing, implementing, and maintaining server-side applications using Node.js. Your primary focus will be on developing scalable, efficient, and high-performance applications while working closely with our front-end and back-end developers.
Responsibilities:
- Develop server-side applications using Node.js and Express.js or other Node.js frameworks.
- Collaborate with front-end developers to integrate user-facing elements with server-side logic.
- Build and optimize APIs for mobile and web applications.
- Implement security and data protection measures.
- Troubleshoot and resolve software defects and performance issues.
- Write clean, maintainable, and testable code.
- Deploy applications on cloud platforms like AWS, Azure, or Heroku.
- Stay up-to-date with Node.js and related technologies, and incorporate best practices and emerging trends into development processes.
- Perform code reviews to ensure code quality and adherence to coding standards.
- Participate in the development of technical documentation.
- Collaborate with cross-functional teams to develop and maintain software applications.
- Support and maintain the application infrastructure, including monitoring, scaling, and performance optimization.
Qualifications:
- Proven experience as a Node.js developer or similar role.
- Strong proficiency in JavaScript and its core concepts.
- Experience with Node.js and server-side frameworks like Express.js.
- Familiarity with front-end technologies such as HTML, CSS, and JavaScript.
- Understanding of asynchronous programming and event-driven architecture.
- Knowledge of database systems (e.g., MongoDB, PostgreSQL, MySQL).
- Experience with version control systems (e.g., Git).
- Basic knowledge of DevOps and cloud platforms.
- Good communication and collaboration skills.
- Problem-solving abilities and attention to detail.
- Ability to work both independently and as part of a team.
- Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent work experience).
Additional Skills (Preferred but not required):
- Experience with microservices architecture.
- Knowledge of containerization technologies like Docker and Kubernetes.
- Familiarity with test-driven development (TDD).
- Understanding of authentication and authorization mechanisms.
- Experience with continuous integration and continuous deployment (CI/CD) pipelines.
Company Culture and Benefits:
- We offer a collaborative and innovative work environment.
- Competitive salary and benefits package.
- Opportunities for professional growth and development.
- Flexible work arrangements and remote work options.
We are hiring Full Stack Developer - at W2S Solutions - 3 to 6 years of experience.
Industry: IT-Software / Software Services
Role: Software Developer
Location: Chennai/Coimbatore
Salary: Best in the Industry
Job Description:
- Lead a team of Full Stack Developers in building Cloud Products/Solutions Participate in R&D activities led by architects
- Frond end: React JS, AngularJS, Angular 4 and above with deep knowledge of PureJS and DOM.
- Hands on experience in Node JS, MongoDB, Express JS.
- Should have good experience in Python, MySQL, Postgresql and Django.
- Must capable to handle projects alone.
- API development with REST knowledge is must.
- Cross platform mobile app development is nice to have.
- Should have handled projects in Agile methodology
- Strong knowledge of software implementation best practices
- Strong experience in designing and working with MVC and 3 tier architecture and Single Threaded Event Loop Model.
Desired Candidate Profile:
- Ability to quickly learn new concepts and software is necessary
- Candidate should be a self-motivated, independent, detail oriented, responsible team player and exhibit exceptional relationship management skills
- Strong organizational and project management skills.
Note: Looking for Immediate Joiners
Experience in programming Embedded C applications.
• Strong development experience in embedded C and RTOS
• Strong debugging skills
• Embedded development tools and methodologies
• Version Control Systems – Clear Case / RTC /GIT
Should have detailed knowledge on microcontrollers / microprocessors
Should have detailed knowledge on Battery Electric Vehicle Powertrain (BEV), Fuel Cell and H2-Motor
Should have detailed knowledge in powertrain function development for BEV, Fuel Cell and H2-Motor
Strong development experience in MATLAB for powertrain function development
Strong development experience in CAN / LIN /Flexray / UDS / KWP, SPI communication protocols
Knowledge in tools like CANalyser / CANoe, CANDiva, CANstress, CANDELA studio, Lauterbach
Experience in scripting languages like Shell / Perl / CAPL / Make etc.,
Experience in using tools like Logiscope / Function Generator / Oscilloscope, etc
Experience in configuration management & defect tracking tools
Automotive domain and powertrain systems knowledge a plus
Ability to work as part of a dedicated project team and independently
Strong communication and interpersonal skills.
Must be a self-starter.
at Lister Technologies
Essential Skills |
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Role Description |
A fully hands on technical role where the SDeT is expected to work in a cross functional squad including Product Mgmt, Software Engineers, SDeTs, OPS/SRE and be responsible for understanding the feature requirements, understanding the platform architecture, functional flows, determine what test cases are relevant and implement the API/Service/UI automation.
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