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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.

10,000 posts
Updated 43m ago
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Showing 1–20 of 10,000 posts

Ana Maria Lopez Moreno
Ana Maria Lopez Moreno

SR Partner Solution Architect Data+AI

45m ·
Senior
Took me some time to process everything from FabCon back in March—but these are the updates that really stayed with me… and honestly, I’m still processing them. What stood out the most wasn’t just new features—but the direction: 🧠 AI is becoming more autonomous and context-aware 🛠️ Data platform
Matched:mlops
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Kshama Baburaj

HR Recruiter (SAP) at Blue Ocean Systems Infotech Pvt Ltd

50m ·
Entry Level
HI, Urgent hiring for Singapore - Lead SAP Basis & Platform Architect (RISE/ BTP/ SaaS / GenAI) Platform Architecture & Governance Own end-to-end technical architecture for SAP S/4HANA, BW/4HANA on RISE PCE, BTP platform components, and connected SaaS solutions Define and maintain SAP technical sta
2
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Shankar Kalvankar
Shankar Kalvankar

Junior Data Scientist | AWS Certified (AIF-C01) & (MLA-C01) | MongoDB Certified Associate (Developer)

50m ·
Entry Level
Excited to share that I’ve earned the AWS Certified Machine Learning Engineer – Associate (MLA-C01) certification. This certification enhanced my expertise in building, deploying, and optimizing machine learning solutions on AWS. It strengthened my understanding of end-to-end ML workflows, scalable
Matched:ml engineermachine learning engineerdeep learningmlops
Ruchitha Reddy Naredla
Ruchitha Reddy Naredla

HR Recruiter at EduRun Group

52m ·
Entry Leveljob posts
EduRun Group is hiring!! 🚀 Hiring: Senior AI/ML Engineer | Mumbai | Work From Office We are looking for a Senior AI/ML Engineer (5–8 years) to build and scale LLM & RAG-based AI solutions and production-grade ML systems. 📍 Location: Mumbai 🏢 Work Mode: Work From Office ⏳ Duration: 6 months + ex
Matched:ml engineermlops
DA
DataX Annotation

29 followers

54m ·
Entry Level
How to ensure #Quality in #DataAnnotation projects? 👇 Research consistently proves a hard truth: A smaller, cleanly annotated dataset will consistently outperform a massive, noisily labeled one. Yet, a 2022 MIT study found error rates of 3-6% in widely used benchmark datasets, and in production,
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1 comments
Matched:mlops
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Nilesh Prasad
Nilesh Prasad

SSE@Walmart | ex-Couchbase(NoSQL) | ex-Epicor(ERP) | ex-42Gears(MDM) RestAPI,SQL,NoSQL,Cloud,Unit/Integration Testing,WebSockets,Java/Type Script,MultiThreading,Queue,MicroServices,Design Patterns,Observability

56m ·
Senior
How Spotify Delivers Personalized Music for Every User You open Spotify. Your homepage feels tailor-made. Playlists, recommendations, discovery — all personalized. But have you ever wondered: What happens behind the scenes to generate recommendations for millions of users? Platforms like Spotify r
Matched:ml engineermlops
CS
Cuspal | The Apex of Intelligent Healthcare Solutions

6 followers

56m ·
Entry Level
Deep Dive: Matryoshka Embeddings for Production Matryoshka Representation Learning produces embeddings useful at multiple dimensions: 768, 256, 128, or 64. Smaller dimensions = faster search, less storage. Perfect for resource-constrained SEA hospital environments. Production healthcare search oft
Matched:deep learningmlops
SC
Spectral Consultants

149,727 followers

58m ·
Entry Leveljob posts
🟪 Sharing exciting job opportunities – feel free to apply or refer to Spectral Consultants team 🔶 Claims Reinsurance - FE https://lnkd.in/gQvRTRwQ 🔶 Python Developer - Sr Analyst https://lnkd.in/gZz96sNB 🔶 Power BI Developer - Analyst https://lnkd.in/gT4rbTqz 🔶 Lead Data Analyst(SQL +Pyspar
3
Matched:ml engineermachine learning engineermlops
Soumit Patil
Soumit Patil

Ex -Technical Analyst | Helping People Find Genuine Jobs | Social Impact Advocate | Vipassana Practitioner | Director – Sujata Bodhgaya Foundation | Building Meaningful Connections | Spreading Kindness & Compassion

1h ·
Directorjob posts
🚀 Hiring Alert: AI Engineer – Miracle Labs | USA Opportunity 🇺🇸 Are you passionate about building real-world AI systems beyond just experiments? Here’s your chance to work on cutting-edge Agentic AI & Generative AI solutions at Miracle Innovation Labs! 📌 Position Details • Role: AI Engineer –
Matched:ml engineermlops
Suresh Kumar
Suresh Kumar

Lead @Tiger Analytics | @Georgian | Python | AWS | JavaScript | TypeScript | ReactJs | Redux | NodeJs | AntD | MySQL | MongoDB | GitHub

1h ·
Managerjob posts
🚀 Hiring: Senior Lead / Architect – NLP & GenAI (Data & AI) 📍 Chennai | Bengaluru | Hyderabad 🏢 Full-time 🔧 What you’ll do: • Design & deploy NLP and Generative AI solutions using LLMs • Build scalable pipelines (RAG, embeddings, transformers) • Develop AI agents, chatbots & automation syst
Matched:ml engineermlops
Adam Aljahdhami
Adam Aljahdhami

Founder & Operator at AVA Limo | Premium Chauffeur & Ground Transportation Services | Houston, TX I’m the founder and operator of AVA Limo, a premium chauffeur service based in Houston,

1h ·
CXO/Founder
Everyone's chasing 'out-of-the-box' MLOps. But what if the very thing promising speed is secretly trapping your team in a cycle of vendor lock-in and unforeseen maintenance nightmares? It's time to talk about the dark side of 'easy' ML deployment. I've seen teams lured by the promise of a unified p
Matched:ml engineermlops
vishal Kumar
vishal Kumar

MLOps at Sourcebae

1h ·
Entry Level
🚀 MLOps Roadmap: Your Guide from Fundamentals to Advanced! Are you looking to break into the exciting and rapidly growing field of Machine Learning Operations (MLOps)? Look no further! This comprehensive roadmap lays out the essential skills and technologies you need to master, from building a soli
2
Matched:machine learning engineermlops

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Adam Aljahdhami
Adam Aljahdhami

Founder & Operator at AVA Limo | Premium Chauffeur & Ground Transportation Services | Houston, TX I’m the founder and operator of AVA Limo, a premium chauffeur service based in Houston,

1h ·
CXO/Founder
We've mastered model training, but our ML models are still facing a gauntlet just to reach users. The 'last mile' of MLOps isn't just about pipelines; it's a strategic chasm costing companies millions in unrealized AI value. What if the real problem isn't your data scientists, but your deployment ph
Matched:ml engineermlops
CN
Cloud Native Nagpur

1 follower

1h ·
Entry Level
Kubernetes is making a serious move into AI infrastructure We’re watching Kubernetes transition from: Container orchestration To AI-native platform The Kubernetes community has officially announced the AI Gateway Working Group. This isn’t hype — it’s coming straight from the official Kubernetes bl
Matched:mlops
Shruti Gyani
Shruti Gyani

HR

1h ·
Entry Leveljob posts
🚀 We’re Hiring: Senior AI/ML Engineer 📍 Location: Mumbai (1st Preference) | Bangalore (2nd Preference) ⏳ Notice Period: Immediate Joiners 💼 Experience: 5–8 Years We are looking for a highly skilled Senior AI/ML Engineer to lead the development of scalable LLM/RAG solutions and production-grade A
Matched:ml engineermlops
Aboo Ubaitha Fainaz Ahamed
Aboo Ubaitha Fainaz Ahamed

Senior AI Engineer @ N-able | GenAI | LLM | SLM | Agentic AI & Automation | RAG | LLMOps | Building production-grade AI systems

1h ·
Senior
“𝐏𝐫𝐨𝐦𝐩𝐭 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫” 𝐢𝐬 𝐩𝐫𝐨𝐛𝐚𝐛𝐥𝐲 𝐭𝐡𝐞 𝐦𝐨𝐬𝐭 𝐦𝐢𝐬𝐥𝐞𝐚𝐝𝐢𝐧𝐠 𝐣𝐨𝐛 𝐭𝐢𝐭𝐥𝐞 𝐢𝐧 𝐀𝐈 𝐫𝐢𝐠𝐡𝐭 𝐧𝐨𝐰. Last week I saw a role asking for: Distributed systems + APIs + MLOps + Security + Product thinking… That’s not prompt engineering. That’s Agent Engineering. A
3
Matched:mlops
Mohammed Danish
Mohammed Danish

BCA Undergraduate | Learning Python, Data Structures , Machine Learning & Artificial intelligence

1h ·
Entry Level
We built an AI system that detects, diagnoses, and auto-heals distributed systems in under 8 seconds. At MIT. Here's what it actually looks like. The challenge: "Build a real-time AI observability system that ingests live logs & metrics from a running distributed application, performs root cause ana
1
Matched:mlops
DANISH ZULFIQAR
DANISH ZULFIQAR

AI/ML Engineer | LLMs · RAG Pipelines · NLP · Computer Vision | Python · PyTorch · LangChain | Open to Full-Time Roles

1h ·
Entry Level
Most people think AI is just about building models. In reality, the hardest part is turning those models into usable, real-world systems. I recently built a Smartphone Addiction Prediction System taking it all the way from raw data to a deployed application. What I did: 1) Cleaned and preprocesse
2
2 comments
Matched:machine learning engineerdeep learningmlops
Nuruzzaman Faruqui
Nuruzzaman Faruqui

AI Educator & Assistant Professor | Teaching Artificial Intelligence with Human-Centered Communication | Researcher | Author

1h ·
Seniorjob posts
🚀 𝗝𝗼𝗯 𝗢𝗽𝗽𝗼𝗿𝘁𝘂𝗻𝗶𝘁𝘆: 𝗘𝗻𝘁𝗿𝘆 𝗟𝗲𝘃𝗲𝗹 𝗔𝗜/𝗠𝗟 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿: 𝗦𝗩𝗟 𝗮𝘁 𝗜𝗕𝗠 Exciting opportunity with IBM for an Entry Level AI/ML Engineer to join the AI/ML Center of Excellence at IBM Silicon Valley Lab in San Jose, California. If you have a bachelor’s or master’s degr
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Matched:ml engineermachine learning engineermlops
Dinesh Kalluri
Dinesh Kalluri

AI DevOps Engineer | MLOps Engineer | SRE

1h ·
Entry Level
🚀 End-to-End MLOps Project on AWS – From Logging to Real-Time Predictions Excited to share my hands-on implementation of a complete MLOps pipeline using core AWS services like AWS CloudTrail, Amazon S3, Amazon CloudWatch, AWS Lambda, and Amazon SageMaker. 🔹 What I built: ✅ Centralized Logging & Se
Matched:mlops

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