what's your honest opinion on the remote internship market right now? genuinely curious if others are seeing the same thing i am. #buildinpublic #tech #CodingJourney #internships #remote #mlengineer

Don’t waste 2026 learning the wrong skills. Data Scientist, ML Engineer, and AI Engineer are NOT the same career. Most people spend months following random roadmaps without understanding what the job actually looks like. Here's the simplest breakdown: • Data Scientist → Finds insights from data • ML Engineer → Deploys machine learning systems • AI Engineer → Builds AI products using LLMs, agents, and automation Choose the path that matches your strengths, not the hype. The AI industry doesn't need more confused learners. It needs specialists. Which path are you choosing in 2026? 👇 #AI #MachineLearning #DataScience #AIEngineer #MLEngineer #CareerGrowth

We're hiring at LIQUIDMIND®.AI — two engineering seats, one mission: Agentic AI for international trade. 🚀 Our products — TradeGuard AI, Patram AI, TariffIQ and TradeVeda — already run on live data with some of India's largest enterprises across steel, automotive, chemicals and textiles, including a USD 1B textile exporter. Recognised with the Aegis Graham Bell Award 2026 (Innovation in Gen AI) and as a Karnataka Elevate 2025 winner. 1️⃣ AI/ML Engineer — Bengaluru · Full-time · 2–5 yrs Own the complete AI lifecycle: document AI & vision, LLM integration (Claude on AWS Bedrock), RAG pipelines, fine-tuning, and production-grade deployment of the systems that read the documents moving global cargo. 👉 Apply: lnkd.in/gUhQFXFH 2️⃣ Forward Deployed Engineer — Bengaluru HQ client sites · Full-time · 2–6 yrs · 30–50% travel Embed with steel plants, auto exporters and chemical manufacturers. Map EXIM workflows on-site, stand up PoCs on live client data in days, build SAP/Oracle/ULIP/ICEGATE integrations, and own each deployment from first demo to production sign-off. 👉 Apply: naveen@liquidmind.ai with subject "FDE Application — Your Name" 📅 Applications close 15 July 2026. Full JDs attached below. If you build things that actually ship — or know someone who does — tag them. DMs open. @LiquidmindAI #Hiring #AgenticAI #MLEngineer #ForwardDeployedEngineer #AIJobs #TradeTech #EXIM #Bengaluru #StartupJobs

🚀 #OpenToWork ✅ Collaborate with engineers & researchers ✅ Keep pushing the boundaries of what AI can do If your team is hiring or you know someone who is, let's connect! 🙌 #MachineLearning #MLEngineer #AI #HiringAlert #JobSearch

Healthcare AI fails in clinics not because of bad models — but because they're built in isolation from real workflows Explainability deployment-readiness matters more than leaderboard scores. @SiemensHealth @Siemens #MedicalAI #HealthcareAI #MLEngineer

🌍 Just completed a full End-to-End Image Classification project on Intel's Natural Scenes Dataset! As a Data Scientist & ML Engineer, I built a complete pipeline that automatically identifies 6 types of natural scenes — Buildings, Forest, Glacier, Mountain, Sea & Street — from raw images. 📌 What I did: ✅ Exploratory Data Analysis (EDA) — class distributions, brightness/contrast stats, color histograms ✅ Data Augmentation — rotation, zoom, flip, brightness tuning to prevent overfitting ✅ Built & compared 4 Deep Learning models: 🔹 Simple CNN (Baseline) 🔹 Deep Custom CNN with BatchNorm Dropout 🔹 VGG16 Transfer Learning (freeze fine-tune) 🔹 MobileNetV2 Transfer Learning ✅ Grad-CAM visualizations — to explain WHAT the model actually sees ✅ Confusion Matrix, Classification Report & Per-Class Accuracy ✅ Final predictions exported as CSV with confidence scores 📊 Dataset: ~25,000 images | 6 classes | 150×150 px 🏆 Best Model Accuracy: 94% 💡 Key Takeaway: Transfer Learning is a game-changer. MobileNetV2 & VGG16 significantly outperformed custom CNNs — and Grad-CAM made the model explainable to non-technical stakeholders. 🚀 If your business needs: → Image classification or object detection solutions → Computer Vision pipelines for automation → Explainable AI for stakeholder reporting Let's connect and talk! 📩 DM me or drop a comment below. #MachineLearning #DeepLearning #ComputerVision #CNN #TransferLearning #ImageClassification #VGG16 #MobileNetV2 #GradCAM #Python #TensorFlow #Keras #DataScience #AI #NeuralNetworks #Kaggle #OpenToWork #MLEngineer #DataScientist #AIFreelancer #ClientWork #Portfolio #BuildInPublic #ArtificialIntelligence #MLOps #ExplainableAI #LinkedInLearning #TechPakistan #PakistaniDeveloper #FreelancePakistan

🚀 Hiring Alert: Machine Learning Engineer, AI Solutions Hub (AISH) 🏢 Northeastern University 📍 Portland, Maine, USA 💰 Up to $107,000/year Join an innovative AI team working on cutting-edge machine learning and AI solutions. Perfect opportunity for ML engineers ready to make an impact! 🔗 Apply Now: studentscircles.com/northeas… #MachineLearning #AIJobs #MLEngineer #Hiring #TechCareers

🚀 Want to Become a Machine Learning Engineer in the Next 12 Months? Stop wondering where to start and follow a proven roadmap designed to help you build the skills employers are looking for. ✅ Python Fundamentals ✅ Mathematics & Statistics for ML ✅ Data Analysis & SQL ✅ Machine Learning Algorithms ✅ Deep Learning Concepts ✅ MLOps & Deployment ✅ Portfolio Projects & Career Preparation This 12-Month Machine Learning Engineer Roadmap breaks the learning journey into manageable steps, helping you stay focused and avoid information overload. A structured roadmap is one of the most effective ways to progress from beginner to job-ready ML engineer. Whether you're a student, software developer, data analyst, or career changer, this roadmap provides a clear path toward building real-world machine learning skills. 📈 Invest in your future. 🎯 Learn with purpose. 💻 Build projects that matter. Get your roadmap here: etsy.com/listing/4516393041/… #MachineLearning #AI #ArtificialIntelligence #MLEngineer #DataScience #PythonProgramming #CareerDevelopment #TechCareer #LearningRoadmap #MLOps #DeepLearning #CodingJourney #FutureOfWork #TechEducation

🚀 Want to Become a Machine Learning Engineer in the Next 12 Months? Stop wondering where to start and follow a proven roadmap designed to help you build the skills employers are looking for. ✅ Python Fundamentals ✅ Mathematics & Statistics for ML ✅ Data Analysis & SQL ✅ Machine Learning Algorithms ✅ Deep Learning Concepts ✅ MLOps & Deployment ✅ Portfolio Projects & Career Preparation This 12-Month Machine Learning Engineer Roadmap breaks the learning journey into manageable steps, helping you stay focused and avoid information overload. A structured roadmap is one of the most effective ways to progress from beginner to job-ready ML engineer. Whether you're a student, software developer, data analyst, or career changer, this roadmap provides a clear path toward building real-world machine learning skills. 📈 Invest in your future. 🎯 Learn with purpose. 💻 Build projects that matter. Get your roadmap here: etsy.com/listing/4516393041/… #MachineLearning #AI #ArtificialIntelligence #MLEngineer #DataScience #PythonProgramming #CareerDevelopment #TechCareer #LearningRoadmap #MLOps #DeepLearning #CodingJourney #FutureOfWork #TechEducation

Two of the most confused job titles in tech right now. ML Engineer. AI Engineer. People use them interchangeably in job posts, interviews and LinkedIn bios. They are not the same role. #DataScience #MachineLearning #AI #MLEngineer #AIEngineer #DataScientist #Python

If you are looking for jobs.... #Jobs #Hiring #SDE #MLEngineer #Startups #trending

Two of the most confused job titles in tech right now. ML Engineer. AI Engineer. People use them interchangeably in job posts, interviews and LinkedIn bios. They are not the same role. Here is the clearest breakdown I have seen. An ML Engineer builds and ships machine learning models at scale. The focus is accuracy, performance and scalability. If you love data, math, algorithms and optimising models this is your role. An AI Engineer builds AI-powered applications and systems that solve real world problems. The focus is intelligent systems, user experience and real world impact. If you love building products, working with LLMs and connecting models to real solutions this is your role. The skills overlap significantly. Python, SQL, cloud platforms, statistics. Both roles need these. But the day to day work, the mindset and the problems you solve are fundamentally different. Save this. Share it with anyone who is trying to figure out which path to take. ♻️ Repost to help someone who is confused about which role to apply for. #DataScience #MachineLearning #AI #MLEngineer #AIEngineer #DataScientist #LearnAI

ML Engineers: Remote opportunities paying up to $250/hr. 💰 $70–$250/hr 🌎 Remote ⏱️ Part-Time Projects Mercor is building a Machine Learning Engineer Talent Network for future projects with leading AI labs. Looking for experience in: ✅ Python ✅ PyTorch / TensorFlow ✅ ML Model Development ✅ Model Deployment ✅ MLOps Apply once and get matched with projects as they become available. More details on JobsPulse 👇 jobspulse.co/jobs/machine-le… #MachineLearning #MLEngineer #AIJobs #PyTorch #TensorFlow #MLOps #RemoteJobs #Hiring

🧠 Hiring: Data Analytics AI Engineer - Fireblocks 📍 Hybrid - NYC | 💼 Full-time | 🧑‍💻 AI/ML Data | 💰 $156k–$204k base | 🕐 2 hours ago - June 3, 2026 Fireblocks is hiring a Data Analytics AI Engineer to join their global Data team. The company provides the simplest and most secure way for companies to work with digital assets and is trusted by major financial institutions, banks, and Web3 companies worldwide. 📋 Responsibilities include: - Design and build LLM-powered systems and data agents that improve internal capabilities for GTM, Product, and Engineering teams. - Analyze large-scale datasets to surface strategic insights, define KPIs, and translate findings into actionable recommendations. - Evaluate AI initiatives through experimentation and optimize models. - Ship production-grade analytics and AI apps via CI/CD. - Manage senior stakeholders and own projects end-to-end. 🔑 Requirements: - 5 years in AI/ML or data analytics AI. - Strong SQL; Python a plus. - Hands-on LLMs, prompt engineering, and model evaluation. - Analytical skills with senior stakeholder experience. - CI/CD with GitLab/GitHub. - Independent project ownership and communication skills. - NYC hybrid (3 days in office). 🛠 Nice-to-have: - Snowflake database agents. - dbt experience. - Fintech/Web3 familiarity. 📩 To apply: Apply directly via the Fireblocks careers page: fireblocks.com/careers/posit… (Applications will be reviewed on a rolling basis). 🔗 Original post: fireblocks.com/careers/posit… ⚠️ DYOR! I don’t verify every job. If someone asks to run files (even from GitHub) or ask for payment 🚩 likely a scam. ❗️ I'm not hiring myself! I just sharing fresh web3/crypto/blockchain roles DAILY for all levels! 💡 For Interns & juniors → t.me/crypto_vazima_english 💼 Mid/senior jobs → t.me/web3_jobs_crypto_vazima #Web3 #Crypto #Blockchain #AI #DataEngineer #MLEngineer #Fintech #Hiring #Jobs #NYC

• Neural Networks (ANN Basics) • Gradient Descent Currently revising these concepts for stronger fundamentals, better project understanding and has already moved towards Deep learning #MachineLearning #AI #DataScience #MLEngineer #Tech

No lies but let me tweet about the Retrieval Argumented Generation (RAG) pipeline that I just built I'm so proud of myself for building this all from scratch. No frameworks used. No Langchain, Llammaindex, all from scratch #ML #AI #RAG #MLEngineer

🚀 We're Hiring: AI / ML Engineer @ LIQUIDMIND®.AI 📩 Apply Now → lnkd.in/gUhQFXFH or email naveen@liquidmind.ai Agentic AI for International Trade · Full-Time · Bengaluru · 2–5 Years Experience ⏳ Apply by 31 May 2026 At LIQUIDMIND®.AI, we're building the future of international trade — automating complex EXIM workflows with cutting-edge Agentic AI. Our products are already live with a major Indian textile exporter (USD 1B revenue), and we're scaling fast. 🏆 Aegis Graham Bell Award 2026 — Innovation in Gen AI (MeitY, Govt. of India) 🥇 Karnataka Elevate 2025 Winner — Selected from 1,474 applicants 🤝 NASSCOM CoE Accelerator Partner 💡 What You'll Build: → Document AI & Vision systems for complex trade documents → RAG pipelines with smart chunking & retrieval → LLM integrations (GPT, Claude, open-source) → Production-grade AI with fine-tuning, deployment & monitoring 🛠️ Tech Stack: Python 3.11 · LangChain / LlamaIndex · FastAPI · Vector DBs · Docker · GPU · Cloud ✅ Who We're Looking For: • 2–5 years AI/ML engineering experience • Strong Python PyTorch / TensorFlow • Hands-on with LLMs, vision models & multimodal AI • Solid RAG architecture & vector database knowledge • Self-driven, ownership mindset — startup-ready 🎯 What You Get: ✦ Top compensation in the AI/ML Agents space ✦ End-to-end ownership with direct client impact ✦ Mentorship from deep AI/ML industry experts ✦ Exposure to the latest AI research & tools ✦ Real career trajectory in a collaborative startup 📩 Apply Now → lnkd.in/gUhQFXFH or email naveen@liquidmind.ai @LiquidmindAI @rajexplains #Hiring #AIEngineer #MLEngineer #AgenticAI #LLM #RAG #DocumentAI #GenerativeAI #MachineLearning #NLP #MultimodalAI #LangChain #Python #StartupJobs #BengaluruJobs #TechJobs #InternationalTrade #EXIM #LiquidMindAI #NowHiring

Building AutoMatch: SaaS that auto-sends candidate profiles to companies within 5-15 mins of job posting. Companies pay per placement. Using NLP to match skills. Why leave job matching to chance? Let AI do it 🚀 🔥#BuildInPublic #SaaS #MLEngineer #TechAfrica #AI #MachineLearning

Every AI system I build becomes a SaaS. Why? Because SaaS solves distribution. My pneumonia detector runs on cloud. My glaucoma AI is accessed via API. My satellite threat detector serves enterprises. That’s the model💡 #BuildInPublic #MLEngineer #TechAfrica #AI #MachineLearning

Just applied to SpaceXAI. 🚀 Built a LIVE satellite threat detector: → Sentinel-2 ESA satellite imagery → AWS Earth Search STAC API → NDVI multi-spectral physics → PyTorch ResNet18 CNN agroai-threat-detector.onren… Nigeria. Solo. Zero funding. #SpaceX #AI #MLEngineer #BuildInPublic