jobs in the wild.

📍 Location: Remote(India) 🎯 Experience: 1-3 years We’re looking for a hands-on professional who enjoys turning complex problems into reliable, production-ready solutions. What you’ll work on: ✅ Design, build, test, and improve machine learning engineer solutions for production use cases ✅ Translate business and technical requirements into maintainable implementations ✅ Build automated workflows, validation checks, monitoring, and documentation ✅ Collaborate with product, data, engineering, and business stakeholders ✅ Troubleshoot issues, improve performance, and contribute to engineering best practices Required skills & experience: ✔️ Hands-on experience with Python, SQL, scikit-learn, PyTorch or TensorFlow, Pandas ✔️ Working knowledge of NumPy, feature engineering, model evaluation, REST APIs ✔️ Practical exposure to Docker, Git, CI/CD ✔️ Understanding of cloud fundamentals, model monitoring ✔️ Strong problem-solving, debugging, documentation, and communication skills ✔️ Experience working with Git-based collaboration and Agile delivery practices Core tech stack: Python, SQL, scikit-learn, PyTorch or TensorFlow, Pandas, NumPy, feature engineering, model evaluation, REST APIs, Docker, Git, CI/CD, cloud fundamentals, model monitoring. If you enjoy solving meaningful problems, building reliable solutions, and taking ownership from idea to delivery, we’d like to hear from you. 📩 Send your updated resume to ntadi@holimore.com 💬 Comment ""Interested"" below or send me a direct message. Referrals are welcome—tag someone who may be a strong fit. #MachineLearningEngineer #Hiring #RemoteJobs #IndiaJobs #TechJobs #AIJobs #DataJobs #CareerOpportunity #Holimore"

Want to own the voice AI stack of a real product, not just assist on it? This role is for you. Tattvera is an AI-first software studio in Kolkata, building for clients across the US and Europe in FinTech, HRTech, Conversational AI, and SaaS. You'll take ownership of our real-time voice agents and work directly with the founders. 🎙️ What you'll own: • Real-time speech-to-speech and speech-to-text pipelines • AI voice agents that talk to users in real time • Our custom VAD engine that fixes audio stutter and barge-in interruptions • End-to-end latency optimization • RAG with a Knowledge Distiller service that auto-updates the knowledge base 🛠️ Must have: • Strong Python and FastAPI (or Flask/Django) • Built at least one working voice agent end to end (STT ➝ LLM ➝ TTS or speech-to-speech) • Real-time streaming with WebSockets or WebRTC • Integrating speech and LLM APIs: REST, webhooks, SDKs, auth (API keys, OAuth) • Basic audio handling (formats, chunking, sample rates) and some VAD exposure • Git and basic deployment ⭐ Good to have: RAG, Node.js, model training and fine-tuning, multilingual NLP, vector DBs, LangChain/LlamaIndex, Docker, cloud, Pipecat or LiveKit Agents 🎓 Pursuing or recently completed a degree in CS, IT, Data Science, or related fields 📍 Remote | 🕘 Full-time internship | ⏳ 3 to 6 months 💰 Stipend: ₹8,000 to ₹10,000/month | 🗓️ Start: Immediate 💼 Full-time offer possible based on performance ✨ Why join: real ownership of a core product area, direct work with the founders, and production experience most internships can't offer. 📩 Send your resume, GitHub, and a demo or repo of a voice agent you've built to careers@tattvera.com Subject: "AI Intern Application" Selection: resume and demo review ➝ short task ➝ interview Know someone who'd fit? Tag them or share 🙌 #Hiring #AIInternship #VoiceAI #VoiceAgents #ConversationalAI #Python #RemoteInternship #Kolkata

Here’s the engineering problem. Take 20 CCTV streams from different manufacturers. Different resolutions. Unreliable networks. Poor lighting. Limited compute. Now build a system that can continuously process those streams, detect meaningful events, escalate complex observations to stronger vision models, and operate reliably at a commercially viable cost. That’s one of the problems we’re solving at NavSecura Technologies. We’re developing a real-time video intelligence system that connects existing camera infrastructure with NavArgus, our operational intelligence platform. What you’ll own: * Real-time video ingestion and processing — RTSP, FFmpeg, GStreamer. * Object detection, tracking, temporal event analysis and model fine-tuning. * Multi-stage inference using lightweight detectors and vision-language models. * Model evaluation, false-alarm reduction and dataset development. * CPU/GPU optimisation, throughput, latency and inference economics. * Production reliability, observability and integration with NavArgus. Who we’re looking for: An engineer with strong Python, PyTorch and computer vision fundamentals who has built and tested working systems. Experience deploying video models, handling continuous streams or optimising inference is particularly valuable. We care more about demonstrated engineering ability than the number of frameworks on your résumé. This is a founding engineering position. You’ll have direct technical ownership, work closely with the founder and help make foundational architecture decisions. The backend foundation is under development. The production vision system is still to be built and validated. Location: India — Remote-first Employment: Full-time Role: Founding Computer Vision Engineer Salary: ₹10–14 LPA (annual CTC) To apply: Send your résumé and one computer vision project you’ve personally built. Tell us three things: 1. What was the technical problem? 2. What did you personally build? 3. What failed, and how did you fix it? NavSecura Technologies #ComputerVision #Hiring #PyTorch #VideoAI #FoundingEngineer

📍 Location: Open to candidates across India 💼 Opportunity: Full-Time | Project-Based (as applicable) We're looking for a motivated AI engineer who can turn advanced AI concepts into practical, real-world solutions. WHO SHOULD APPLY? Computer science graduates, postgraduate students, master's students, and experienced AI professionals with strong technical skills and hands-on project experience. WHAT YOU'LL DO: ▪️ Build, train, fine-tune, and optimise AI models. ▪️ Develop intelligent AI-driven applications and solutions. ▪️ Work with machine learning and deep learning technologies. ▪️ Research and implement emerging AI techniques. ▪️ Design scalable and reliable AI systems. ▪️ Solve complex technical challenges and improve model performance. WHAT WE'RE LOOKING FOR: ✅ Strong understanding of AI, ML, and deep learning. ✅ Hands-on experience building and improving AI models. ✅ Strong programming and analytical skills. ✅ Excellent problem-solving abilities. ✅ Ability to take ownership and work independently. ✅ Relevant projects, research, or professional experience. WHY JOIN US? Work on practical AI applications, experiment with emerging technologies, and build solutions that address real business challenges. 📩 HOW TO APPLY: Send your updated resume, GitHub/portfolio link, and a brief cover letter highlighting your AI projects and relevant experience through LinkedIn DM. If you're passionate about building the future with AI, let's connect! Tag talented AI engineers and computer science graduates who should explore this opportunity. #Hiring #AIEngineer #ArtificialIntelligence #MachineLearning #DeepLearning #GenerativeAI #LLM #PythonDeveloper #ComputerScience #AICareers #MachineLearningEngineer #DataScience #AIJobs #IndiaJobs #TechHiring #SoftwareEngineering #ResearchAndDevelopment #BangaloreTech #IIITBangalore #RVCE #MSRIT #BMSCE #PESUniversity #IISc #ChristUniversity #DSCE #NHCE #BMSIT #NMIT #CMRIT #BITBangalore #CambridgeInstituteOfTechnology #RNSIT #MSRUAS #MAHEBangalore #REVAUniversity #JainUniversity #AcharyaInstituteOfTechnology #PresidencyUniversity #DayanandaSagarUniversity #BangaloreTech #BangaloreEngineering #ComputerScience #CSE #ArtificialIntelligence #MachineLearning #DeepLearning #GenerativeAI #LLM #PythonDeveloper #AIEngineer #DataScience #TechHiring #CampusHiring #FreshersHiring #IndiaJobs #IITMadras #IITDelhi #IITBombay #IITKanpur #IITKharagpur #IITRoorkee #IITGuwahati #IITHyderabad #IITBHU #IITISM #IITIndore #IITMandi #IITRopar #IITJodhpur #IITPatna #IITGandhinagar #IITBhilai #IITGoa #IITJammu #IITDharwad #IITPalakkad #IITTirupati #IITDhanbad #IITAlumni #IITStudents #IITPlacements #IITRecruitment #AIEngineer #ArtificialIntelligence #MachineLearning #DeepLearning #GenerativeAI #ComputerScience #TechHiring

We're hiring at Banyan Software India! We have six open roles across Chennai, Bengaluru and India Remote. If your skill set aligns with any of them, reach out for more details. 1. Application Support Analyst (SQL & Data) at Clockwork IT Chennai / India Remote, with daily overlap with UK hours. 5+ years, including 18+ months building production LLM/AI systems. SQL, PostgreSQL or SQL Server, troubleshooting, log analysis and customer communication. 2. Founding AI Engineer at Berkeley Myles Solutions Bengaluru / India Remote. 15+ years. Production-grade agentic AI, MCP, RAG, LLM evaluation, Python or .NET, Azure. You would build the AI platform for ProgressPlus, an ERP used by UK manufacturers. 3. Senior Full Stack Developer (Laravel & Vue) at Clockwork IT Chennai / India Remote, with daily overlap with UK hours. 10+ years of PHP with deep Laravel and strong Vue 3. You would modernise the TotalCtrl field service platform. 4. Senior Full-Stack Engineer (AI, Cloud) Bangalore (hybrid). 6–13 years. React/Next.js, TypeScript, .NET/Python/Java, AWS/Azure, Terraform, CI/CD and AI-assisted development. 5. Senior Site Reliability Engineer Bangalore (hybrid). 5–10 years. AWS/Azure, Kubernetes, Terraform, observability, incident response and DevSecOps. 6. Forward Deployed Engineer (Application Modernization) Bangalore (hybrid). 5+ years. Full-stack, AWS cloud-native, microservices, IaC, and AI-assisted SDLC with Cursor and Claude Code. Interested, or know someone great? Message me and I'll share details. #Hiring #BanyanSoftware #JobOpening #India #Bangalore #Chennai #RemoteJobs #AIEngineer #SRE #FullStackDeveloper #LLM #SQL #Laravel #DevOps #TechJobs

📍 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

(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