jobs in the wild.

Remote role for someone strong in AI, research, automation, lightweight app building, technical problem-solving, and fast execution. High-agency generalist Apply: https://lnkd.in/g2XykhAZ https://lnkd.in/gFrYRq2h

📍 Remote | 🕒 5–8+ yrs | 💼 Full-time We’re looking for a hands-on engineer with deep graph database expertise to architect and optimize large-scale knowledge graph systems powering enterprise GenAI applications. What you’ll do: ▪ Build scalable knowledge graphs: entity extraction, relationship inference, entity linking, semantic enrichment, at billions of nodes ▪ Design graph-backed RAG systems and multi-hop reasoning ▪ Optimize Neo4j performance: Cypher, query planning, b-tree/full-text/HNSW indexing, traversal and caching ▪ Build distributed ingest pipelines with idempotence, state management, consistency and monitoring ▪ Evaluate and integrate graph DBs, vector stores, semantic search and LLM APIs What you bring: ‣ Neo4j, graph data modeling, and graph algorithms (PageRank, centrality, community detection, k-NN, link prediction) ‣ Data engineering: ETL/ELT, data lineage and quality, structured and unstructured data at scale ‣ SQL, NoSQL, and vector databases (ANN, HNSW) ‣ Azure: Functions, AKS, CosmosDB, Durable Functions, Service Bus, Event Hub, Event Grid, Synapse, Data Factory, Cognitive Search, Key Vault, RBAC ‣ IaC (Bicep, Terraform, ARM), distributed systems, event-driven and async architectures, microservices ‣ Python/Java, API design, observability (App Insights, ELK, Prometheus) ‣ GenAI: OpenAI, Azure OpenAI, Claude, prompt engineering, RAG, embeddings, inference and cost optimization ‣ 2+ yrs building Neo4j knowledge graphs and 2+ yrs deploying GenAI systems ‣ Master’s in CS, Engineering or Math (Ph.D. preferred) Nice to have: › Neo4j or Azure certifications (AZ-104, AZ-305, DP-900) › GNNs (PyTorch Geometric, DGL, GraphSAGE, Node2Vec), RDF/semantic web › Spark GraphX, Gremlin, sharding, and multi-tenancy at 100M+ nodes › Docker, Kubernetes, Helm › Open-source contributions 📩 Apply now or DM me | Refer someone great! 👇 #Hiring #KnowledgeGraph #Neo4j #GraphDatabase #GenAI #RAG

Hiring alert: We in Bosch Research India are looking for motivated and passionate research engineers to work at the confluence of Control Engineering and Artificial intelligence, machine learning. For this role deep understanding of control systems and modern control theory is a must, only knowledge of AI/ML is not enough. It's an interdisciplinary area where control theory will be combined with AI/ML for relevant applications. For details kindly go through the detailed JD and apply if the topics resonate with your background and skills.

(Sensor Fusion & Time-Series Data) at Aravo. We’ve built an Android SDK that verifies indoor doorstep deliveries where GPS fails. Ground validated with top Indian 3PL leadership. ​We are hiring a Milestone-Based AI/ML Developer to build our sensor-fusion analysis pipeline and 0–100 delivery confidence scoring model. ​💻 The Tech Stack & Focus: ○ ​Domain: Time-Series Processing, Sensor Fusion, Human Activity Recognition (HAR). ○ ​Tools: Python, NumPy, SciPy, Scikit-learn, PyTorch / TensorFlow. ○​Data Sources: IMU sensors (Accelerometer, Gyroscope), Barometer deltas, Wi-Fi/BLE RSSI.​ 📦 Key Deliverables: 1. ​Signal filtering & feature extraction pipelines for raw Android IMU sensor logs. 2. ​Machine learning/rule-based classifiers for indoor gait analysis (stair climbing vs. elevator vs. stationary). 3. ​Algorithmic model to generate a tamper-proof 0–100 Delivery Verification Score per trip. ​💰 Compensation: Paid Fixed-Milestone Contract ⏱️ Hours: Flexible / Part-Time (Evenings & Weekends) 📍 Location: Remote (India) ​Interested? DM me your GitHub/portfolio or drop your resume below! ​#MachineLearning #SignalProcessing #SensorFusion #TimeSeries #Python #MLJobs #BuildInPublic

We're Hiring in Bengaluru! We're expanding our engineering team and looking for 3 strong profiles to work on projects from a leading global design & technology services company. 🔹 Full Stack AI Engineer (3–5 yrs) - React + TypeScript + Node.js, building production AI/LLM-powered web apps. If you've shipped with LLM APIs, this one's for you. https://lnkd.in/dKzXj6tX 🔹 Backend Python Developer (4–6 yrs) - Python 3.12 + FastAPI + Kafka/RabbitMQ + Kubernetes. Event-driven systems for network & infrastructure monitoring. https://lnkd.in/dqCBjZad 🔹 Full Stack Engineer (4–6 yrs) - Python + C# .NET Core + React + SQL. Building scalable apps for an Integrated Talent Management platform. https://lnkd.in/dyHs4V5U Apply via the links above - and feel free to refer a friend. If your profile fits any of the three roles, our team will call you within 24 hours. #FutureOfWork #Hiring #Bengaluru #FullStack #Python #AIEngineer #DotNet #React #TechJobs

Our EXL Enterprise AI – Global Technology team is growing, and we are looking for strong AI engineering and product leaders who are passionate about building and scaling next-generation enterprise AI capabilities. We are hiring: 🔹 Sr. AVP – AI Engineering & Product Management | 15+ years 🔹 AVP – Core AI Engineering | 12+ years 🔹 Sr. Manager – Core AI Engineering | 10+ years | 2 openings 📍 Delhi NCR preferred, with opportunities open across India. If you bring deep experience in AI engineering, GenAI/Agentic AI, scalable AI architecture and enterprise product development, I would be happy to connect. #EnterpriseAI #AIJobs #GenAI #AgenticAI #AIEngineering #ProductLeadership #Hiring #Technology - Please DM your profile / email to sethubaskarans07@gmail.com --> only if you meet the eligibility criteria outlined above.