11+ Metasploit Jobs in Coimbatore | Metasploit Job openings in Coimbatore

• 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.

👋 Welcome to Slooze!

If you’re seeing this, you’ve just bumped into Slooze — and we’re thrilled to meet you.

We’re currently hiring, and we’d love to learn more about your skills. To get started, we have a quick screening challenge for you.

✅ What to Do:

-Review the challenge at the link below

-Select the one that best aligns with your expertise

-Submit your solution with the subject line: 

SUB: [Your Role] | [Your First Name]

🔗 Take-Home Challenge - dub.sh/slooze-takehome

We’re excited to see what you bring to the table!

Best, 

The Hiring Team 

🌐 Company Page: linkedin.com/company/slooze

Performance Marketing Specialist 

Job Type: Full-time (On-site)

Location: Coimbatore

Experience: Minimum 7 - 10 Years

(With 2 years Experience in Edu Tech)

KGiSL Educational Institutions seeks a seasoned Performance Marketing Specialist to spearhead our Lead generation initiatives. As a pivotal member of our leadership team, you will devise and execute comprehensive paid marketing strategies across prominent channels, including Google Ads, Facebook Ads, and LinkedIn Ads, to drive lead generation, conversions, and brand visibility.

Key Responsibilities:

- Paid Marketing Strategy Development: Craft and execute paid marketing campaigns to drive lead generation, conversions, and business growth.

- Campaign Optimization: Manage and optimize campaigns for performance marketing, ensuring maximum ROI and campaign efficacy.

- Team Leadership: Lead, mentor, and develop a high-performing paid marketing team, fostering a culture of innovation and collaboration.

- Performance Analysis: Analyze campaign performance, providing actionable insights and data-driven recommendations to optimize marketing efforts.

- Budget Management: Effectively manage paid marketing budgets, allocating resources to maximize ROI and achieve business objectives.

Requirements:

- Minimum 7-10 Years of Experience: Proven expertise in paid marketing, digital marketing, or a related field, with a strong track record of successful campaign execution.

- Technical Proficiency: Familiarity with tools and platforms used for lead generation, social media marketing (SMM), search engine marketing (SEM), and performance marketing.

- Leadership and Analytical Skills: Strong leadership, analytical, and problem-solving skills, with the ability to drive business growth and innovation.

Preferred Qualifications:

- Edtech Experience: Prior experience in the Edtech sector is highly desirable.

- Immediate Joiners: Candidates available for immediate joining are preferred.

What We Offer:

- Competitive Compensation: A competitive salary structure.

- Comprehensive Benefits: A comprehensive benefits package, including health insurance

- Professional Growth: Opportunities for professional growth, development, and career advancement.

- Dynamic Work Environment: A dynamic and collaborative work environment that fosters innovation and creativity.

Responsible for completing the UK Year End accounts as per the timeline with zero errors as per the tasks allocated by client manager or dot manager.

Prompt communication for all the queries pertaining to the job and resolving the queries.

Ensure client and dot managers are informed about leave absence in advance and the work at hand is completed.

To timely fill timesheet and utilise the time to complete the jobs effectively.

Sending an updated work email to client manager and dot manager respectively.

Knowledge of Preparing UK Year-End working paper.

Posting of bank transactions into the bookkeeping software’s such as- Payments, Receipts, Deposits Bank Fees, etc. and reconciling Bank Accounts. 

Detailed knowledge of filling Vat returns with HMRC.

Exporting Reports on Excel Spreadsheet and PDF generated from the Software.

Knowledge of running the UK payroll is an advantage but not essential. Feedback and resolve any issues or conflicts.

Job Title: Data Science Trainer

Location: Coimbatore

Employment Type: Full-time

Job Summary:

We are seeking an experienced and passionate Data Science Trainer to deliver engaging and practical training sessions to students or professionals. The trainer will design curriculum, prepare materials, and guide learners in developing data science skills through real-world projects and case studies.

Key Responsibilities:

• Develop and deliver comprehensive training programs on Data Science concepts, tools, and techniques.
• Teach topics including but not limited to:
• Data Analysis (NumPy, Pandas, Data Cleaning, EDA)
• Data Visualization (Matplotlib, Seaborn, Plotly)
• Statistics & Probability (Descriptive, Inferential)
• Machine Learning (Supervised & Unsupervised Algorithms, Model Evaluation)
• Deep Learning (Neural Networks, TensorFlow, PyTorch – if applicable)
• Big Data Tools (Hadoop, Spark – if applicable)
• Provide hands-on training with industry-relevant datasets and projects.
• Prepare lesson plans, assignments, assessments, and evaluation reports.
• Mentor learners individually to ensure conceptual clarity and practical application.
• Keep training content updated with the latest industry trends and technologies.
• Collaborate with the academic or corporate training team for curriculum improvement.

Required Skills & Qualifications:

• Bachelor’s/Master’s degree in Computer Science, Statistics, Mathematics, or related field.
• Proven experience in Data Science, Machine Learning, and Data Analytics.
• Proficiency in Python (NumPy, Pandas, Scikit-learn, etc.) and SQL.
• Strong understanding of statistical concepts and their application in data analysis.
• Experience with visualization tools like Tableau/Power BI is a plus.
• Excellent communication and presentation skills.
• Ability to simplify complex concepts for learners with varied backgrounds.
• Prior teaching/training experience preferred.

Qualifications

● Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical

experience (or) degree in an analytical field (e.g. Computer Science, Engineering, Mathematics,

Statistics, Operations Research, Management Science)

● 3+ years experience with data analysis and metrics development

● 3+ years experience analyzing and interpreting data, drawing conclusions, defining

recommended actions, and reporting results across stakeholders

● 2+ years experience writing SQL queries

● 2+ years experience scripting in Python

● Demonstrated curiosity in and excitement for Web3/blockchain technologies

● Interested in learning new technologies to solve customer needs with lots of creative freedom

● Strong communication skills and business acumen

● Self-starter, motivated by an interest for developing the best possible solutions to problems

● Experience with Google Cloud - Bigquery, DataBricks stack, DBT, Tableu, Jupyter is a plus

Required Technical Skills

 Experience required: 5-8 yrs.  Minimum 5 years of ServiceNow Design and Development experience apart from

support/admin.  Good to have any #ServiceNow Implementation Specialist Certification or Application

Developer Certification.  #ITSM/ #ITBM/ #ITOM/ #SecurityOps/ #grc development experience (Good to have).  Hand on experience in Integration of third-party API's - Primary skills: ServiceNow

#ITSM/GRC Dev engineer.  Must be CSA certified and great plus if certified as Implementation specialist.  Hands On Experience in #Integration of #API's. Preferred

 Minimum years of experience: 3 years in ServiceNow development

Certification is mandatory - #CAD Custom Application Development

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.