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Who's Hiring ML Engineers? Live LinkedIn Posts

ML and AI engineering hiring posts from LinkedIn. See which companies are building ML teams, what frameworks (PyTorch, TensorFlow) they use, and whether they require PhDs or prioritize production experience.

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Showing 1–20 of 10,000 posts

Umair Ahmad Bhatti
Umair Ahmad Bhatti

Consultant – Data Analytics & AI Solutions | Data Engineering | SaaS | Cloud (AWS & Azure) | AI/ML, GenAI & Agentic AI | Data Architecture | Data Modeling | Project Leadership

2h ·
Senior
Excited to share that I’ve successfully renewed my Databricks accreditations! Staying current across: • Databricks Fundamentals • Generative AI Fundamentals • AI Agent Fundamentals • Platform Architect (AWS, Azure, GCP) • Platform Administrator Continuously learning and evolving with the latest i
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Muhammed Rishad C
Muhammed Rishad C

Final-Year Computer Science Student | Software Engineer | End-to-End ML & Full-Stack Solutions l Event Operations Team @ Advisor X Growth

2h ·
Entry Level
I’ve spent the last few months architecting PaperVal, a platform designed to solve one of the most tedious manual tasks in the academic world: theory-based exam evaluation. I’m proud to say the system is now fully operational. The Architecture: To ensure both performance and accuracy, I built this
1
Matched:machine learning engineermlops
Jitender Bhatia
Jitender Bhatia

CEO & Founder | Salesforce Architect at Forcecraver | Expert in Salesforce, DataCloud, Agentforce, SAP, Oracle, Full Stack Development, Data Science & Engineering | Transforming CRM & Tech Solutions

2h ·
CXO/Founderjob posts
🚀 We’re Hiring: MLOps Engineer 📍 Remote (India Only) | ⏳ Immediate Joiners Preferred We are looking for a highly experienced MLOps Engineer with strong expertise in cloud, machine learning, and large-scale distributed systems. 🔧 Key Requirements: • 12+ years in IT, 5+ years relevant experience
Matched:ml engineermachine learning engineerdeep learningmlops
Anis-Ul-Islam Rafid
Anis-Ul-Islam Rafid

Software Engineer at Kahf Yazılım A.Ş.

2h ·
Entry Level
🚀 NVIDIA just dropped something every AI engineer has struggled with… Meet AITune — an open-source toolkit that automatically finds the fastest inference backend for your PyTorch model. No more guessing between TensorRT, Torch-Inductor, TorchAO, or Torch-TensorRT. AITune: ✅ Benchmarks multiple
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Umair Ahmad Bhatti
Umair Ahmad Bhatti

Consultant – Data Analytics & AI Solutions | Data Engineering | SaaS | Cloud (AWS & Azure) | AI/ML, GenAI & Agentic AI | Data Architecture | Data Modeling | Project Leadership

2h ·
Senior
Excited to share that I’ve earned the Databricks Accredited AI Agents Fundamentals certification! 🚀 This certification deepened my understanding of: • Building and evaluating AI agent systems • LLM-based workflows and orchestration • Observability, tracing, and evaluation in GenAI Looking forward
Matched:mlops
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Rahul Sahay
Rahul Sahay

Principal Architect @ Datamatics | .NET · Java · ML. · Azure | Microsoft MVP (7×) | Microservices · Clean Architecture · AI | IIT Madras (ML) | 48K+ Learners | 👉 rahulsahay.com

2h ·
Senior
Over the last few years, I’ve been working on building production-grade systems, not just models. And more recently, while working on large-scale healthcare transformations (including what we’re building at Bupa), one pattern has become very clear: 👉 Most ML work never reaches production. Not beca
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Matched:ml engineermachine learning engineermlops
J
Jobjunction4u

412 followers

2h ·
Entry Leveljob posts
🚨 Hiring Opportunity – AI Agent Developer JobJunction4U brings an exciting opportunity in AI & Advanced ML with Sysfort. 💼 Role: AI Agent Developer 📍 Location: Pune 👨‍🎓 Experience: 0–1 Year 🕒 Type: Full-Time This is a great opportunity for early-career professionals to work on cutting-edge
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Matched:ml engineermachine learning engineermlops
J
Jobjunction4u

412 followers

2h ·
Entry Leveljob posts
🚨 Hiring Opportunity – Associate AI Engineer JobJunction4U brings an exciting opportunity in AI & Data Science with The Family Office. 💼 Role: Associate AI Engineer 📍 Location: Bengaluru 👨‍🎓 Experience: Freshers 🕒 Type: Full-Time This is a great opportunity for fresh graduates to work on re
1
Matched:ml engineermlops
Manimaran V
Manimaran V

Convenor - Placements and Industry Interface | Expert in Networking, Campus Connects, Customer-Centric Solutions, and Smart Working Strategies | National Engineering College, Kovilpatti | Motivational Speaker

2h ·
Managerjob posts
Job Opportunity Alert #433 This week(13.04.26 to 18.04.2026) walk in interview Opportunities!! 1.We are hiring AI/ML Engineers (3–10 years) and Data Engineers (6+ years) to build intelligent, scalable data and AI solutions at Agilisium. 18th April 2026 10:30 AM – 3:00 PM IndiQube Eco, Bangalore
25
Matched:ml engineermlops
Laxmi Kumawat
Laxmi Kumawat

Global CXO Resume Architect & LinkedIn Branding Authority | Crafting Elite Leadership Brands for Boardroom & C-Suite Excellence | Proven 7× Faster Executive Interview Shortlisting | Partner to CXO Across 20+ Countries

3h ·
CXO/Founder
Top 10 Senior Data Scientist – Scenario-Based Interview Questions (5–10+ Years Experience | Latest Tools & Technologies | Tough Level | Global – UAE | UK | USA | Canada | Australia | New Zealand) If you are targeting senior Data Scientist roles, these scenario-based questions are designed to test
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Matched:ml engineermachine learning engineermlops
Shubhankit Sirvaiya
Shubhankit Sirvaiya

Lead AI/ML Engineer | LinkedIn Top Voice | Building AI Assets | Ex- Accenture Growth & Strategy | Ex- WWT | ML Engineer | Top Data Mining Voice 2024

3h ·
Manager
Move first or miss out, AI Engineering 2.0 waiting list closing soon Seats for this cohort are almost full. If you want the projects, platform labs, mentor time, and interview prep that actually change careers, this is the moment to act. What you get if you sign up now: • 16 plus production styl
1
Matched:ml engineermlops
Mohamed Salman A S
Mohamed Salman A S

Google & Meta Ads Management | WordPress Developer | Python | N8N |REST API| Social Media Marketing | UI/UX | Incredible To Developing SparkAI | JavaScript | AI Agent |

3h ·
Entry Level
🚀 I just shared the complete AI/ML Engineer Roadmap — and the full course is available FREE on GitHub! This isn't just an infographic. It's a structured path from Python basics all the way to deploying LLMs in production — the exact skills top companies are hiring for in 2025. 📦 What you'll get: →
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Archana Saykar
Archana Saykar

MS in Information Systems at University of Cincinnati | SRE | Cloud & Platform Engineering | Azure DevOps | CI/CD Automation | Observability | Incident Management

3h ·
Entry Level
My resume download broke on my own portfolio website. I didn't notice. My monitoring system did. I built an end-to-end monitoring system that watches my live website, detects failures using ML, and sends AI-generated incident reports to Slack - automatically. Here's what happened when the resume
7
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S.H.Mohammed Iliyas
S.H.Mohammed Iliyas

Immediate Joiner | Senior DevOps | SRE Engineer | Kubernetes | AWS | Azure | GCP | Terraform | Observability & Monitoring| ArgoCD | Docker | CI/CD Automation| Ansible |

3h ·
Senior
🚀 Will AI replace DevOps Engineers? Or make them more valuable? 🤖☁️ With the recent launch of AWS DevOps Agent, a big question is trending: 👉 “Why hire experienced DevOps engineers when AI + juniors can do the job?” Let’s break this myth 👇 💡 Reality Check: AI is NOT replacing DevOps — it’s
Matched:mlops
Gaurav Bhowmick, PMP®
Gaurav Bhowmick, PMP®

PMO at JPMorganChase || PMP Certified || ex-Morgan Stanley || ex-Crisil || CFA L3 Candidate

3h ·
Senior
Why the Data Lakehouse Won and What it Quietly Broke The data lakehouse went from architectural curiosity to industry default in less than four years. The pitch was simple. Combine the schema rigor of warehouses with the cheap storage and flexible ingestion of lakes. Run analytics, ML, and streamin
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Matched:ml engineermlops
Rodrigo Prado
Rodrigo Prado

Senior Solutions Architect @ Amazon Web Services (AWS) | IT Service Management

3h ·
Senior
Why do AI agents fail in production? Tool calling errors are killing trust. Agentic tool calling enables AI agents to query databases, trigger workflows, and retrieve real-time data. But base models hallucinate tools and pass bad parameters. Amazon SageMaker AI's Serverless model customization with
1
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Selvakumar T
Selvakumar T

Python l AWS l SmartComms Architect @ Hexaware Technologies | ThunderHead I Agile Methodologies l Certified Scrum master

3h ·
Senior
Python is not just for building AI models — it is powering end-to-end AI systems. Most teams focus on: “Using Python for model development.” But in reality, Python plays a role across the entire AI lifecycle: • Data ingestion & preprocessing • Feature engineering • Model training & evaluation • A
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Sreenivasulu Reddy K.
Sreenivasulu Reddy K.

Performance Engineer | perfMLOps | Scaling ML Systems on Amazon EKS | Latency |Reliability | Observability & Site Relability Engineering(SRE)

3h ·
Entry Level
Your ML model isn’t slow. Your system is. In testing, your model responds in 50ms. In production? 500ms+. What changed? Here’s what actually causes inference latency spikes: • Resource contention in Kubernetes • Cold cache / feature fetch delays • Autoscaling lag • Model reload overhead Most te
3
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SF
Sahil F.

GenAI @ AMD | AI Systems & Performance Optimization | CS @ NYU | Ex J&J Robotics · Samsung Research

3h ·
Entry Level
Most ONNX content stops at torch.onnx.export. I wanted to go deeper. Just published a practitioner's guide covering the full picture.. from the ONNX IR internals and ORT's execution pipeline, to where constant folding actually happens, which operator fusion patterns ORT applies at each optimization
3
Matched:ml engineermlops
AS
Aditya Sharma

Freelance Recruiter IT Staffing

3h ·
Entry Leveljob posts
📢 🚨 URGENT AI/ML TRAINERS – MAHARASHTRA 🚨 📢 🔬 Python | TensorFlow | PyTorch | Computer Vision | NLP Experts 📍 Mumbai | Pune | Nagpur | Aurangabad | Immediate College Batches 🎯 AI/ML SPECIALIZATIONS: ✅ Machine Learning – Supervised/Unsupervised Learning, XGBoost, Random Forest, Feature Enginee
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