#ai engineer

[94shasha]

पूतना 🖤

[disk28]

[kamalkafir-blog]

Career Jobs Remote Jobs and other opportunities for Job seekers

Job title: Project Coordinator / Field Engineer Company: Athenian Group Job description: and covers both operational and engineering aspects Currently we are recruiting for a; Project Coordinator / Field Engineer… Expected salary: Location: Saskatchewan Job date: Sun, 13 Jul 2025 06:32:29 GMT Apply for the job now!

[skillbabu]

Ai/ML salary trends in india 2025: What you can earn and how to get there

In 2025, Artificial Intelligence (AI) and Machine Learning (ML) are not just buzzwords, they're defining the future of jobs. India is rapidly becoming a global hub for AI innovation, and companies are on the lookout for skilled professionals who can build, train and deploy intelligent systems.

If you’re considering a career in AI/ML or are already learning through a course like the one offered by Skill Babu, you’re on the right track. But the big question remains: How much can you really earn in AI/ML roles in India in 2025? And more importantly, how do you reach those top-paying positions?

Let’s break it down.

Why AI/ML Careers are booming in india

With the rise of digital transformation, businesses are investing in data-driven technologies to improve customer experiences, automate workflows and predict outcomes. AI and ML are at the heart of this revolution.

From banking to healthcare, retail to logistics AI skills are in high demand. According to NASSCOM, the Indian AI industry is projected to create over 500,000 new jobs by the end of 2025.

This demand directly impacts salaries, as companies compete to hire top AI/ML talent.

 Average AI/ML salaries in India (2025)

Here's what professionals are earning in India right now, based on experience and role. These are averages drawn from job platforms like Naukri, AmbitionBox, and Glassdoor.

Entry-Level (0–2 years): ₹6 – ₹10 LPA

Mid-Level (2–5 years): ₹12 – ₹20 LPA

Senior-Level (5+ years): ₹25 – ₹40 LPA

AI/ML Architects & Researchers: ₹45 LPA+

Freelancers or Contract AI Experts: ₹1,000 – ₹5,000/hour

Your salary depends on various factors like your skill set, tools used, location, certifications and project experience.

Top AI/ML Job roles in demand

Machine Learning Engineer – Builds and trains ML models.

Data Scientist – Uses data analysis and machine learning to find insights.

AI Engineer – Develops AI systems like chatbots, recommendation engines, etc.

Computer Vision Engineer – Works on image recognition and video analysis.

NLP Engineer – Focuses on language processing like voice assistants and translation.

AI Researcher – Designs new algorithms and innovations in deep learning.

Business Intelligence Analyst (with ML tools) – Extracts data-driven insights for businesses.

Each role has unique skill requirements, and many companies now prefer job-ready candidates with project experience not just degrees.

Must-Have skills to earn big in AI/ML

If you want to stand out in 2025 and unlock high-paying AI/ML opportunities, focus on learning these in-demand tools and concepts:

Python Programming – Core language for AI and ML.

Machine Learning Algorithms – Regression, classification, clustering.

Deep Learning – Neural networks, TensorFlow, Keras, PyTorch.

Data Handling – Pandas, NumPy, SQL.

Natural Language Processing (NLP) – Hugging Face, spaCy, NLTK.

Computer Vision – OpenCV, CNNs, object detection.

Deployment – Using Flask, Docker, or cloud platforms (AWS/GCP/Azure).

Certifications from platforms like Coursera, Udemy, and Google AI help but hands-on projects matter more. That’s where local institutes like Skill Babu in Jaipur come into play.

 How to Start Your Career in AI/ML (even if you're a beginner)

Many people believe you need a tech degree or years of experience to enter AI but that’s not true anymore. With the rise of online learning and practical training, anyone with basic computer knowledge can begin their AI journey.

Here’s a roadmap to get started:

Master Python Basics

Learn Math for ML – Especially linear algebra, statistics, and calculus

Take an AI/ML Certification Course – Choose project-based learning

Build Real Projects – Example: spam detection, price prediction, chatbot

Create a Portfolio on GitHub – Show your work publicly

Network on LinkedIn – Follow recruiters, AI professionals, and share your journey

Apply for Internships and Freelance Projects

If you’re in Jaipur, joining a course like Skill Babu’s AI/ML program can fast-track your learning with mentorship and placement support.

Cities with Highest AI/ML Salaries in India (2025)

Bangalore – ₹10L to ₹40L+

Hyderabad – ₹8L to ₹30L

Delhi NCR (Gurgaon, Noida) – ₹7L to ₹25L

Pune – ₹7L to ₹22L

Mumbai – ₹8L to ₹28L

Jaipur – ₹5L to ₹12L (but growing fast due to emerging startups and local training)

While metros offer the highest salaries, Tier-2 cities like Jaipur are witnessing a sharp rise in AI-based startups, opening opportunities for local talent.

 Final Thoughts: AI/ML is the Career of the Decade

AI and ML are transforming industries and they’re creating some of the most exciting and high-paying jobs in India today. Whether you're a college student, a job seeker, or someone looking to switch careers, learning AI/ML in 2025 is a smart move.

But success in this field doesn’t come from just watching videos. It comes from building real skills, practicing with hands-on projects, and learning from experts.

If you're in Jaipur and want to future-proof your career, Skill Babu’s AI/ML course can help you master the right tools, gain confidence, and land your first job in this booming field.

[alignminds]

AI Engineer

AI Engineers in the US, UK, UAE, and Germany are at the forefront of developing intelligent systems that drive innovation across industries. They specialize in machine learning, deep learning, NLP, and data analytics to build smart applications and automation tools. With strong expertise and access to advanced tech ecosystems, these engineers deliver scalable AI solutions tailored to diverse business needs.

[aicerts11]

AI + Engineering: Transforming the Future of Innovation

Artificial Intelligence is revolutionizing engineering by automating complex tasks, optimizing designs, and speeding up problem-solving. From predictive maintenance to smarter simulations, AI is helping engineers create more efficient, reliable, and sustainable solutions. Whether it's improving product designs or automating testing, AI is pushing the boundaries of what’s possible in engineering.

The future is intelligent, and engineers are leading the way! ⚡

#AI #Engineering #TechInnovation #Automation #SmartDesign #FutureOfEngineering #Innovation

[hiringiosdevelopers]

UX Magic Starts with Artificial Intelligence Developer

User experience design has reached a turning point. The static, one-size-fits-all web interfaces of the early days are making way for dynamic, intelligent ones that adapt themselves to the unique user in real-time. At the heart of this change is a single figure: the artificial intelligence developer who turns UX concepts into intelligent, responsive systems that feel like magic to the user.

Beyond the Classical Interface Design

The complementary relationship of UX designers and AI engineers creates experiences that transcend the limits of classical interfaces. While the designer is excellent at eliciting user needs and creating intuitive flows, an AI developer brings the technical muscle to make interfaces smart. The union creates products that don't just respond to user actions, they anticipate user intent.

Classic UX design is to create best paths for the average user. Intelligent UX design, with an AI developer as the driver, creates systems that learn best paths for each individual user. The interface is no longer a static structure that treats everyone alike, but a learning system that becomes more proficient at what it does with each use. Personalization at Scale

The Wizardry that users derive from AI-powered interfaces is a result of sophisticated personalization that goes on behind the scenes. A developer of AI programs creates systems that track user preferences, usage habits, and contextual cues to personalize the experience for a user. This is not merely customization settings, this is about creating interfaces that learn from user behavior.

Content prioritization is an excellent instance of this intelligent personalization. An artificial intelligence developer can design systems that learn the significance of various types of information for each person and automatically prioritize the pertinent content and demote the less significant pieces. The result makes the user feel like the interface has been designed just for him or her, evoking digital empathy that translates to involvement and happiness.

Predictive User Experience

The most magical aspect of AI-driven UX could very well be prediction. An AI developer creates systems to anticipate user needs based on context, history, and behavior patterns. These predictive capabilities enable interfaces to surface the right options to users even before they necessarily ask for them, making experience more intuitive and seamless.

Search functionality provides a particularly fine example of predictive UX magic. Rather than waiting for the complete user query, an artificial intelligence developer can implement systems providing relevant results as the user types, anticipate follow-up searches most likely to occur and even display information users might want before they realize they need it. The interface becomes an active assistant rather than a passive device.

Adaptive Interface Intelligence

True artfulness of intelligent UX is found when interfaces adapt their shape and behavior based on user tendencies. An AI professional creates systems that can alter layouts, reorder feature prominence, and even adapt interaction patterns based on user preference and usage patterns.

This adaptive intelligence can also be used in accessibility and usability optimization. An artificial intelligence developer can create systems that detect user difficulty with specific interface elements and adapt automatically to reduce friction. The interface is more usable for each individual user without direct feedback or manual configuration.

Contextual Awareness

Smart interfaces can acquire context in manners that are almost telepathic to consumers. An artificial intelligence developer designs systems that consider time of day, location of the user, device type, and history of use to provide contextually purposeful experiences. Contextual awareness facilitates interactions that feel natural and pertinent instead of generic and robotic.

Magic typically lies in small things. An artificial intelligence developer can implement features that adjust interface brightness based on light availability, plan various features based on day and hour of the day, or alter information density based on the user's current device. These context-sensitive adjustments construct experiences that are felt to be carefully crafted for each moment of use.

Seamless Learning Systems

The most advanced AI-driven UX consists of systems that continuously learn while entirely being transparent to users. An artificial intelligence engineer designs learning mechanisms that enhance interface performance without user training or obvious feedback. The system learns through usage, but users just enjoy progressively better interactions.

This stealth learning may involve load time optimization for most frequently used core features, pre-loading of content the user will likely need, or adjusting interaction behavior based on user preference. The AI engineer ensures none of this happens in broad daylight, leaving the interfaces plain but delivering wiser experiences.

Emotional Intelligence in Design

Long-term AI-driven UX entails emotional intelligence, which is sensitive to user sentiment and emotion. An AI developer can design systems with senses of frustration, confusion, or happiness by tracking behavioral signals and adapt the interface accordingly. Emotional sensitivity constructs experiences that are felt as empathetic and nourishing.

The integration of artificial intelligence creators into UX design is more than a matter of technical advancement, it's a fundamental rethinking of interfaces and how they can serve people. The magic user's experience with intelligent interfaces is not accidental; it's the creation of sophisticated systems that are designed by artificial intelligence developer who understand both technical possibility and psychology. As user expectations keep evolving, designers' collaboration with AI developers will increasingly focus on ensuring that experiences feel as if they are indeed magical.

[shreypost]

Started learning python today. Solved HackerRank questions and earned my first star

#Day1

[nikhilvaidyahrc]

Highest Paying IT Jobs in India in 2025: Roles, Skills & Salary Insights

Published by Prism HRC – Best IT Job Consulting Company in Mumbai

India's IT sector is booming in 2025, driven by digital transformation, the surge in AI and automation, and global demand for tech talent. Whether you're a fresher or a seasoned professional, knowing which roles pay the highest can help you strategize your career growth effectively.

This blog explores the highest-paying IT jobs in India in 2025, the skills required, average salary packages, and where to look for these opportunities.

Why IT Jobs Still Dominate in 2025

India continues to be a global IT hub, and with advancements in cloud computing, AI, cybersecurity, and data analytics, the demand for skilled professionals is soaring. The rise of remote work, startup ecosystems, and global freelancing platforms also contributes to higher paychecks.

1. AI/ML Engineer

Average Salary: ₹20–40 LPA

Skills Required:

Python, R, TensorFlow, PyTorch

Deep learning, NLP, computer vision

Strong statistics and linear algebra foundation

Why It Pays Well:

Companies are pouring investments into AI-powered solutions. From chatbots to autonomous vehicles and predictive analytics, AI specialists are indispensable.

2. Data Scientist

Average Salary: ₹15–35 LPA

Skills Required:

Python, R, SQL, Hadoop, Spark

Data visualization, predictive modelling

Statistical analysis and ML algorithms

Why It Pays Well:

Data drives business decisions, and those who can extract actionable insights are highly valued. Data scientists are among the most sought-after professionals globally.

3. Cybersecurity Architect

Average Salary: ₹18–32 LPA

Skills Required:

Network security, firewalls, encryption

Risk assessment, threat modelling

Certifications: CISSP, CISM, CEH

Why It Pays Well:

With rising cyber threats, data protection and infrastructure security are mission critical. Cybersecurity pros are no longer optional—they're essential.

4. Cloud Solutions Architect

Average Salary: ₹17–30 LPA

Skills Required:

AWS, Microsoft Azure, Google Cloud

Cloud infrastructure design, CI/CD pipelines

DevOps, Kubernetes, Docker

Why It Pays Well:

Cloud is the backbone of modern tech stacks. Enterprises migrating to the cloud need architects who can make that transition smooth and scalable.

5. Blockchain Developer

Average Salary: ₹14–28 LPA

Skills Required:

Solidity, Ethereum, Hyperledger

Cryptography, smart contracts

Decentralized app (dApp) development

Why It Pays Well:

Beyond crypto, blockchain has real-world applications in supply chain, healthcare, and fintech. With a limited talent pool, high salaries are inevitable.

6. Full Stack Developer

Average Salary: ₹12–25 LPA

Skills Required:

Front-end: React, Angular, HTML/CSS

Back-end: Node.js, Django, MongoDB

DevOps basics and API design

Why It Pays Well:

Full-stack developers are versatile. Startups and large companies love professionals who can handle both client and server-side tasks.

7. DevOps Engineer

Average Salary: ₹12–24 LPA

Skills Required:

Jenkins, Docker, Kubernetes

CI/CD pipelines, GitHub Actions

Scripting languages (Bash, Python)

Why It Pays Well:

DevOps reduces time-to-market and improves reliability. Skilled engineers help streamline operations and bring agility to development.

8. Data Analyst (with advanced skillset)

Average Salary: ₹10–20 LPA

Skills Required:

SQL, Excel, Tableau, Power BI

Python/R for automation and machine learning

Business acumen and stakeholder communication

Why It Pays Well:

When paired with business thinking, data analysts become decision-makers, not just number crunchers. This hybrid skillset is in high demand.

9. Product Manager (Tech)

Average Salary: ₹18–35 LPA

Skills Required:

Agile/Scrum methodologies

Product lifecycle management

Technical understanding of software development

Why It Pays Well:

Tech product managers bridge the gap between engineering and business. If you have tech roots and leadership skills, this is your golden ticket.

Where are these jobs hiring?

Major IT hubs in India, such as Bengaluru, Hyderabad, Pune, Mumbai, and NCR, remain the hotspots. Global firms and unicorn startups offer competitive packages.

Want to Land These Jobs?

Partner with leading IT job consulting platforms like Prism HRC, recognized among the best IT job recruitment agencies in Mumbai that match skilled candidates with high-growth companies.

How to Prepare for These Roles

Upskill Continuously: Leverage platforms like Coursera, Udemy, and DataCamp

Build a Portfolio: Showcase your projects on GitHub or a personal website

Certifications: AWS, Google Cloud, Microsoft, Cisco, and niche-specific credentials

Network Actively: Use LinkedIn, attend webinars, and engage in industry communities

Before you know

2025 is shaping up to be a landmark year for tech careers in India. Whether you’re pivoting into IT or climbing the ladder, focus on roles that combine innovation, automation, and business value. With the right guidance and skillset, you can land a top-paying job that aligns with your goals.

Prism HRC can help you navigate this journey—connecting top IT talent with leading companies in India and beyond.

- Based in Gorai-2, Borivali West, Mumbai - www.prismhrc.com - Instagram: @jobssimplified - LinkedIn: Prism HRC

[94shasha]

माखनचोर 🤍

[kamalkafir-blog]

Technical Support Engineering - Microsoft Defender for O365

Job title: Technical Support Engineering – Microsoft Defender for O365 Company: Microsoft Job description: team at Microsoft as a cybersecurity support engineer responsible for learning and supporting the cutting-edge security…. As a Security and Compliance support engineer, you will be an elite member of a customer facing support team working on resolving… Expected salary: Location: Hyderabad,…

[a-guide-to-mastering-the-future]

We’re excited to announce our upcoming courses at IIBS College! With confirmed batches launching on January 11, 2025, now is the perfect time to enroll and expand your skill set in high-demand fields.

*Hurry up to avail the New Year’s Discount!

[marketinsightsenterprises]

Distributed Energy Resource Management Systems (DERMS)

Distributed Energy Resource Management Systems (DERMS) are revolutionizing energy management by optimizing distributed resources like solar panels and EVs. With growing demand for renewable energy, DERMS are essential for grid stability and efficiency.

Learn more.

For Downloade Sample Report.