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12 Open Vacancies at Safaricom & M-Pesa Africa

1. M-Pesa Africa - IT Operations Service Governance Specialist
2. Manager - Regional Security
3. Senior Officer- Digital Media
4. Principal Engineer โ€“ Telco and Information Technology DCN - Planning and Design
5. Commercial Manager, Farmer Solutions
6. Financial Products Manager
7. Cloud Infrastructure Engineer
8. M-Pesa Africa - Service Operations Manager
9. Enterprise Customer Support Engineer
10. M-Pesa Africa - Change & Release Specialist
11. Senior Lead, Energy Operations and Support
12. M-Pesa Africa - Senior Anti-Money Laundering Manager

Check Here: https://kenyatrends.co.ke/12-open-vacancies-at-safaricom-m-pesa-africa/
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๐ŸŽจ Looking for the Best Resources for Front End Design? โค๏ธ

๐ŸŒˆ Color Sites:
1. colorhunt.co
2. klart.io
3. color.adobe.com
4. webkul.github.io
5. pigment.shapefactory.co

๐Ÿ‘จโ€๐Ÿ’ป Telegram Channels
1. t.me/WebDevelopmentResourcesTP
2. t.me/ProductDesignResourcesTP
3. t.me/TechPsyche
4. t.me/udemycoursecouponsfree

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2. 1001fonts.com
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4. fontfreak.com/fonts-new.htm

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2. logovector.net
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2. brusheezy.com/brushes
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2. mockupworld.co
3. graphicburger.com
4. zippypixels.com

โœจ Inspiration Sites:
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2. designspiration.net
3. pinterest.com
4. dribbble.com

๐ŸŽฅ Video Sites:
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2. coverr.co
3. motionplaces.com
4. videezy.com

๐Ÿ–ผ Photo Sites Without Background:
1. cleanpng.com
2. pngimg.com
3. footyrenders.com
4. pngtree.com

๐Ÿ“ท Photo Sites:
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2. pexels.com
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Explore these Incredible Resources and take your Front End UI/UX Projects to the next level.

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Women in Cloud, in partnership with Microsoft, is launching the Microsoft Cybersecurity Certification Scholarship Program. This initiative provides Microsoft Cybersecurity Analyst Professional Certifications and a DevSecOps Peer-to-Peer Mentoring Network, designed to equip women to high-demand entry to mid level cybersecurity positions.

Apply Here: https://womenincloud.com/cybersecurity/
A social media manager needed for a beauty related brand.

If interested, send a message to +2348122700058
Technical Team Lead (Full Stack) Needed at Digi-Utu Africa

* Proficient in PHP, JavaScript, Node.js, and Laravel
* Experience: 8+ years
* Type: Remote, Full-time
* Budget: $2.5-3.5k/month

About the Job:
* Lead Scalable Development: Build and maintain high-performance applications using JavaScript, Node.js, PHP, and Laravel, setting technical standards for the team.
* Oversee CI/CD Pipelines: Partner with DevOps to design and manage automated CI/CD pipelines using Bamboo.
* Ensure Code Quality: Conduct code reviews, manage Git repositories, and uphold best practices in coding.
* Database Optimization: Architect efficient database solutions, ensuring seamless, secure data handling.
* Quality Assurance: Champion automated testing to maintain system reliability pre-deployment.
* Agile Collaboration: Work cross-functionally with designers, DevOps, and stakeholders to meet business goals.
* Accessibility Leadership: Advocate for WCAG-compliant development, mentoring the team in web accessibility.
* Mentorship: Guide and support junior developers, fostering professional growth.
* Technical Strategy: Define project direction and deliver creative, efficient solutions.
* Stay Ahead: Implement emerging technologies to keep projects cutting-edge.

Apply Now: https://kenyatrends.co.ke/technical-team-lead-full-stack-needed-at-digi-utu-africa/
Remote Tech Hiring at Conclase

Conclase is hiring for the following roles:

- Frontend Engineer
- Backend Engineer
- Frontend Mobile Developer
- Application Support Engineer

Conclase is hiring for the following positions:

Backend Engineer ( junior, Intermediate and senior).
Skills: Core, C#

Frontend Engineer ( Intermediate )
Skills: Angular,React

Frontend Mobile Developer ( Intermediate )
Skills: Flutter

Application support
Skills: DBMS (SQL,Oracle, MongoDB, DevOps)

Apply Here: https://kenyatrends.co.ke/remote-tech-hiring-at-conclase/
Learn Data Science in 2025

๐Ÿญ. ๐—”๐—ฝ๐—ฝ๐—น๐˜† ๐—ฃ๐—ฎ๐—ฟ๐—ฒ๐˜๐—ผ'๐˜€ ๐—Ÿ๐—ฎ๐˜„ ๐˜๐—ผ ๐—Ÿ๐—ฒ๐—ฎ๐—ฟ๐—ป ๐—๐˜‚๐˜€๐˜ ๐—˜๐—ป๐—ผ๐˜‚๐—ด๐—ต ๐Ÿ“š

Pareto's Law states that "that 80% of consequences come from 20% of the causes".

This law should serve as a guiding framework for the volume of content you need to know to be proficient in data science.

Often rookies make the mistake of overspending their time learning algorithms that are rarely applied in production. Learning about advanced algorithms such as XLNet, Bayesian SVD++, and BiLSTMs, are cool to learn.

But, in reality, you will rarely apply such algorithms in production (unless your job demands research and application of state-of-the-art algos).

For most ML applications in production - especially in the MVP phase, simple algos like logistic regression, K-Means, random forest, and XGBoost provide the biggest bang for the buck because of their simplicity in training, interpretation and productionization.

So, invest more time learning topics that provide immediate value now, not a year later.

๐Ÿฎ. ๐—™๐—ถ๐—ป๐—ฑ ๐—ฎ ๐— ๐—ฒ๐—ป๐˜๐—ผ๐—ฟ โšก๏ธ

Thereโ€™s a Japanese proverb that says โ€œBetter than a thousand days of diligent study is one day with a great teacher.โ€ This proverb directly applies to learning data science quickly.

Mentors can teach you about how to build a model in production and how to manage stakeholders - stuff that you donโ€™t often read about in courses and books.

So, find a mentor who can teach you practical knowledge in data science.

๐Ÿฏ. ๐——๐—ฒ๐—น๐—ถ๐—ฏ๐—ฒ๐—ฟ๐—ฎ๐˜๐—ฒ ๐—ฃ๐—ฟ๐—ฎ๐—ฐ๐˜๐—ถ๐—ฐ๐—ฒ โœ๏ธ

If you are serious about growing your excelling in data science, you have to put in the time to nurture your knowledge. This means that you need to spend less time watching mindless videos on TikTok and spend more time reading books and watching video lectures.

Join https://t.me/DataScienceResourcesTP for more

ENJOY LEARNING ๐Ÿ‘๐Ÿ‘

WhatsApp Channel: https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
๐Ÿค– About Machine Learning 101! ๐Ÿ“š

๐Ÿค” What is Machine Learning?
๐Ÿ“Š Machine Learning (ML) is a subset of Artificial Intelligence (AI) that enables computers to learn from data without being explicitly programmed.

๐Ÿ” How does Machine Learning work?
1๏ธโƒฃ Data Collection ๐Ÿ“
2๏ธโƒฃ Data Preprocessing ๐Ÿ“Š
3๏ธโƒฃ Model Training ๐Ÿค–
4๏ธโƒฃ Model Testing ๐Ÿ“
5๏ธโƒฃ Deployment ๐Ÿš€

๐Ÿ“ˆ Types of Machine Learning:
1๏ธโƒฃ Supervised Learning ๐Ÿ‘จโ€๐Ÿซ
2๏ธโƒฃ Unsupervised Learning ๐Ÿค”
3๏ธโƒฃ Reinforcement Learning ๐Ÿ†

๐Ÿ“ Real-World Applications:
1๏ธโƒฃ Healthcare: Disease diagnosis, patient care ๐Ÿฅ
2๏ธโƒฃ Finance: Risk analysis, fraud detection ๐Ÿฆ
3๏ธโƒฃ Virtual Assistants: Siri, Google Assistant ๐Ÿ“ฑ
4๏ธโƒฃ Autonomous Vehicles: Self-driving cars ๐Ÿš—
5๏ธโƒฃ Marketing: Personalized recommendations ๐Ÿ“ˆ

๐Ÿค” Quiz Time!

What type of ML is used in image recognition?
1) Supervised Learning
2) Unsupervised Learning
3) Reinforcement Learning
Answer by react๐Ÿฅณ

#MachineLearning #AI #DataScience #Innovation

Unsupervised Learning Cheatsheet: t.me/MachineLearningResourcesTP/6
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Multiple Tech Roles at GR8Tech
1. Middle QA Automation Engineer (Java)
2. Senior DevOps Engineer
3. Middle Project Manager for Data Platform Team
4. Middle DevOps Engineer
5. Junior Product Manager
6. Middle Application Security Engineer

Apply Here: https://kenyatrends.co.ke/multiple-tech-roles-at-gr8tech/
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