11+ IT security assessment Jobs in Bangalore (Bengaluru) | IT security assessment Job openings in Bangalore (Bengaluru)
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- Threat and vulnerability analysis.
- Investigating, documenting, and reporting on any information security (InfoSec) issues as well as emerging trends.
- Analysis and response to previously unknown hardware and software vulnerabilities.
- Preparing disaster recovery plans.
SOC analysts are considered the last line of defense and they usually work as part of a large security team, working alongside security managers and cybersecurity engineers. Typically, SOC analysts report to the company’s chief information security officer (CISO).
SOC analysts need to be detail oriented because they are responsible for monitoring many aspects simultaneously. They need to watch the protected network and respond to threats and events. The level of responsibility typically depends on the size of the organization.
React.js
HTML/CSS
NextJs (Next.js)
JavascriptNEED TO HAVE :
1) Have some knowledge of front end like React.JS
2) HTML, CSS
3) Strong in Javascript concepts
4) Good communication skills
5) Loves to code
GOOD TO HAVE :
1) Experience with type script will be a plus
2) Experience with Nest.JS framework will be a plus
3) Strong hold on ES6 principles.
4) Familiar with TDD ( Test Driven Development ) will be a plus.
5) Familiar with working in CI / CD will be a plus
6) Micro-Service architecture knowledge will be an added benefit.
You can directly WhatsApp us on nine three one six one two zero one three two
Python
AngularJS (1.x)
Django
BootstrapHTML/CSSSkill : 4-10 years of experience in development of automation framework using Python
- Experience in GUI development using HTML/CSS/JS/Angular JS/Django are preferred
- Having good understanding of REST is desired
- Excellent Troubleshooting and Analytical Skills are desired
- Good Communications and interpersonal skill are desired
Python
ChatGPTJob Purpose and Impact:
The Sr. Generative AI Engineer will architect, design and develop new and existing GenAI solutions for the organization. As a Generative AI Engineer, you will be responsible for developing and implementing products using cutting-edge generative AI and RAG to solve complex problems and drive innovation across our organization. You will work closely with data scientists, software engineers, and product managers to design, build, and deploy AI-powered solutions that enhance our products and services in Cargill. You will bring order to ambiguous scenarios and apply in depth and broad knowledge of architectural, engineering and security practices to ensure your solutions are scalable, resilient and robust and will share knowledge on modern practices and technologies to the shared engineering community.
Key Accountabilities:
• Apply software and AI engineering patterns and principles to design, develop, test, integrate, maintain and troubleshoot complex and varied Generative AI software solutions and incorporate security practices in newly developed and maintained applications.
• Collaborate with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.
• Conduct research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services, optimizing existing generative AI models and RAG for improved performance, scalability, and efficiency, developing and maintaining pipelines and RAG solutions including data preprocessing, prompt engineering, benchmarking and fine-tuning.
• Develop clear and concise documentation, including technical specifications, user guides and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders.
• Participate in the engineering community by maintaining and sharing relevant technical approaches and modern skills in AI.
• Contribute to the establishment of best practices and standards for generative AI development within the organization.
• Independently handle complex issues with minimal supervision, while escalating only the most complex issues to appropriate staff.
Minimum Qualifications:
• Bachelor’s degree in a related field or equivalent experience
• Minimum of five years of related work experience
• You are proficient in Python and have experience with machine learning libraries and frameworks
• Have deep understanding of industry leading Foundation Model capabilities and its application.
• You are familiar with cloud-based Generative AI platforms and services
• Full stack software engineering experience to build products using Foundation Models
• Confirmed experience architecting applications, databases, services or integrations.
Python
PostgreSQLSizzle is an exciting new startup that’s changing the world of gaming. At Sizzle, we’re building AI to automate gaming highlights, directly from Twitch and YouTube streams. We’re looking for a superstar Python expert to help develop and deploy our AI pipeline. The main task will be deploying models and algorithms developed by our AI team, and keeping the daily production pipeline running. Our pipeline is centered around several microservices, all written in Python, that coordinate their actions through a database. We’re looking for developers with deep experience in Python including profiling and improving the performance of production code, multiprocessing / multithreading, and managing a pipeline that is constantly running. AI/ML experience is a plus, but not necessary. AWS / docker / CI/CD practices are also a plus. If you are a gamer or streamer, or enjoy watching video games and streams, that is also definitely a plus :-)
You will be responsible for:
- Building Python scripts to deploy our AI components into pipeline and production
- Developing logic to ensure multiple different AI components work together seamlessly through a microservices architecture
- Managing our daily pipeline on both on-premise servers and AWS
- Working closely with the AI engineering, backend and frontend teams
You should have the following qualities:
- Deep expertise in Python including:
- Multiprocessing / multithreaded applications
- Class-based inheritance and modules
- DB integration including pymongo and sqlalchemy (we have MongoDB and PostgreSQL databases on our backend)
- Understanding Python performance bottlenecks, and how to profile and improve the performance of production code including:
- Optimal multithreading / multiprocessing strategies
- Memory bottlenecks and other bottlenecks encountered with large datasets and use of numpy / opencv / image processing
- Experience in creating soft real-time processing tasks is a plus
- Expertise in Docker-based virtualization including:
- Creating & maintaining custom Docker images
- Deployment of Docker images on cloud and on-premise services
- Experience with maintaining cloud applications in AWS environments
- Experience in deploying machine learning algorithms into production (e.g. PyTorch, tensorflow, opencv, etc) is a plus
- Experience with image processing in python is a plus (e.g. openCV, Pillow, etc)
- Experience with running Nvidia GPU / CUDA-based tasks is a plus (Nvidia Triton, MLFlow)
- Knowledge of video file formats (mp4, mov, avi, etc.), encoding, compression, and using ffmpeg to perform common video processing tasks is a plus.
- Excited about working in a fast-changing startup environment
- Willingness to learn rapidly on the job, try different things, and deliver results
- Ideally a gamer or someone interested in watching gaming content online
Seniority: We are looking for a mid to senior level engineer
Salary: Will be commensurate with experience.
Who Should Apply:
If you have the right experience, regardless of your seniority, please apply.
Work Experience: 4 years to 8 years
About Sizzle
Sizzle is building AI to automate gaming highlights, directly from Twitch and YouTube videos. Sizzle works with thousands of gaming streamers to automatically create highlights and social content for them. Sizzle is available at www.sizzle.gg.
The ideal candidate possesses a passion for writing and an innovative ability to create successful marketing campaigns and aid in creating company growth. You will be responsible for generating exciting and compelling stories on both digital and print sources of media.
Responsibilities
• Handle social media under social media manager's supervision.
• Work on Digital marketing strategy planning.
• Writing blogs, articles and plagiarism free content.
• Competitor analysis.
Qualifications
- Bachelor's degree in Marketing or relevant work experience
- Proficiency in major digital and print platforms
Machine Learning (ML)Python
Data ScienceDuties and Responsibilities:
Research and Develop Innovative Use Cases, Solutions and Quantitative Models
Quantitative Models in Video and Image Recognition and Signal Processing for cloudbloom’s
cross-industry business (e.g., Retail, Energy, Industry, Mobility, Smart Life and
Entertainment).
Design, Implement and Demonstrate Proof-of-Concept and Working Proto-types
Provide R&D support to productize research prototypes.
Explore emerging tools, techniques, and technologies, and work with academia for cutting-
edge solutions.
Collaborate with cross-functional teams and eco-system partners for mutual business benefit.
Team Management Skills
Academic Qualification
7+ years of professional hands-on work experience in data science, statistical modelling, data
engineering, and predictive analytics assignments
Mandatory Requirements: Bachelor’s degree with STEM background (Science, Technology,
Engineering and Management) with strong quantitative flavour
Innovative and creative in data analysis, problem solving and presentation of solutions.
Ability to establish effective cross-functional partnerships and relationships at all levels in a
highly collaborative environment
Strong experience in handling multi-national client engagements
Good verbal, writing & presentation skills
Core Expertise
Excellent understanding of basics in mathematics and statistics (such as differential
equations, linear algebra, matrix, combinatorics, probability, Bayesian statistics, eigen
vectors, Markov models, Fourier analysis).
Building data analytics models using Python, ML libraries, Jupyter/Anaconda and Knowledge
database query languages like SQL
Good knowledge of machine learning methods like k-Nearest Neighbors, Naive Bayes, SVM,
Decision Forests.
Strong Math Skills (Multivariable Calculus and Linear Algebra) - understanding the
fundamentals of Multivariable Calculus and Linear Algebra is important as they form the basis
of a lot of predictive performance or algorithm optimization techniques.
Deep learning : CNN, neural Network, RNN, tensorflow, pytorch, computervision,
Large-scale data extraction/mining, data cleansing, diagnostics, preparation for Modeling
Good applied statistical skills, including knowledge of statistical tests, distributions,
regression, maximum likelihood estimators, Multivariate techniques & predictive modeling
cluster analysis, discriminant analysis, CHAID, logistic & multiple regression analysis
Experience with Data Visualization Tools like Tableau, Power BI, Qlik Sense that help to
visually encode data
Excellent Communication Skills – it is incredibly important to describe findings to a technical
and non-technical audience
Capability for continuous learning and knowledge acquisition.
Mentor colleagues for growth and success
Strong Software Engineering Background
Hands-on experience with data science tools
Kubernetes
Docker
Amazon Web Services (AWS)Experience and Education
• Bachelor’s degree in engineering or equivalent.
Work experience
• 4+ years of infrastructure and operations management
Experience at a global scale.
• 4+ years of experience in operations management, including monitoring, configuration management, automation, backup, and recovery.
• Broad experience in the data center, networking, storage, server, Linux, and cloud technologies.
• Broad knowledge of release engineering: build, integration, deployment, and provisioning, including familiarity with different upgrade models.
• Demonstratable experience with executing, or being involved of, a complete end-to-end project lifecycle.
Skills
• Excellent communication and teamwork skills – both oral and written.
• Skilled at collaborating effectively with both Operations and Engineering teams.
• Process and documentation oriented.
• Attention to details. Excellent problem-solving skills.
• Ability to simplify complex situations and lead calmly through periods of crisis.
• Experience implementing and optimizing operational processes.
• Ability to lead small teams: provide technical direction, prioritize tasks to achieve goals, identify dependencies, report on progress.
Technical Skills
• Strong fluency in Linux environments is a must.
• Good SQL skills.
• Demonstratable scripting/programming skills (bash, python, ruby, or go) and the ability to develop custom tool integrations between multiple systems using their published API’s / CLI’s.
• L3, load balancer, routing, and VPN configuration.
• Kubernetes configuration and management.
• Expertise using version control systems such as Git.
• Configuration and maintenance of database technologies such as Cassandra, MariaDB, Elastic.
• Designing and configuration of open-source monitoring systems such as Nagios, Grafana, or Prometheus.
• Designing and configuration of log pipeline technologies such as ELK (Elastic Search Logstash Kibana), FluentD, GROK, rsyslog, Google Stackdriver.
• Using and writing modules for Infrastructure as Code tools such as Ansible, Terraform, helm, customize.
• Strong understanding of virtualization and containerization technologies such as VMware, Docker, and Kubernetes.
• Specific experience with Google Cloud Platform or Amazon EC2 deployments and virtual machines.c
Business Analyst Job Description
About Us
DataWeave is a Data Platform which aggregates publicly available data from disparate sources and makes it available in the right format to enable companies take strategic decisions using trans-firewall Analytics.
It's hard to tell what we love more, problems or solutions! Every day, we choose to address some of the hardest data problems that there are. We are in the business of making sense of messy public data on the web. At serious scale!
Read more on http://dataweave.com/about/become-dataweaver">Become a DataWeaver
Roles and Responsibilities:
- Own overall relationship with assigned clients, which include: Increasing adoption, ensuring retention, and satisfaction.
- Work with the internal delivery team to ensure delivery quality to exceed client's expectations.
- Establish a trusted/strategic advisor relationship with each assigned client and drive continued value of our products and services.
- Develop, prepare, and nurture customers for testimonials, references and case studies.
- Work with clients to establish critical goals, or other key performance indicators and aid the customer in achieving their goals.
- Work to identify and/or develop upsell opportunities.
- Ensure billing and collection of the assigned accounts is under control.
- Advocate customer needs/issues cross-departmentally.
- Manage account escalations.
Skills and Requirements:
- Proven ability to drive continuous value of solutions/products.
- Familiarity working with clients of all sizes.
- Impeccable written and verbal communication skills.
- Detail oriented and analytical.
- Strong team player but still a self-starter.
- Thrives in a multi-tasking environment and can adjust priorities quickly.
Growth at DataWeave
- Fast paced growth opportunities at dynamically evolving start-up.
- You have the opportunity to work in many different areas and explore wide variety of tools to figure out what really excites you.
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