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"

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

We're hiring. 4 roles, Bengaluru, work from office. An early-stage AI company building wearable devices that capture real customer–salesperson conversations on retail shop floors, and turning them into the intelligence brands use to fix how they sell. Clients across jewellery, apparel, electronics, furniture, auto and BFSI. 1. AI/ML Engineer — Multilingual Audio & NLP (4+ yrs) Speech recognition, speaker diarization, language ID, translation and NER across Indian languages. Fine-tuning and training ML models end to end. Scalable data pipelines (Spark / Beam / TFX), PyTorch / TensorFlow, FastAPI, AWS / GCP / Azure. 2. Embedded Firmware Developer — Audio Processing C / C++ on microcontrollers and DSP chips. Audio codecs, noise reduction, filtering, EQ. RTOS, drivers, middleware. You've shipped audio firmware and optimised it for CPU, memory and power. 3. Assistant Manager — Operations & Implementation (3–5 yrs | ₹5.5–6 LPA) Own brand onboarding from contract to live stores: device mapping and dispatch, store training, daily monitoring, escalations, client comms. Heavy Excel / Sheets (pivots, XLOOKUP, QUERY, FILTER). Logistics or e-commerce background preferred. English + Hindi; a third Indian language is a plus. 6 days, 10 AM–7 PM. 4. Operations Executive — Device & Field Operations (1–3 yrs | ₹3–3.5 LPA) Build and pack device kits, keep serialised inventory straight, run courier dispatch and returns, support live stores on phone and WhatsApp. Hindi + Kannada / Tamil essential. 6 days, 10 AM–5 PM and 8–10 PM. One form for all four roles → https://lnkd.in/djhBg7y9 Know someone who fits? Tag them. #Hiring #Bengaluru #AIML #Embedded #Firmware #Operations #Startup

ArkaVanta Systems is looking for an experienced Data Scientist with strong ML engineering expertise who can build, deploy and manage scalable machine learning solutions in production. 📍 Locations: Gurugram | Noida | Delhi | Bengaluru | Pune | Hyderabad | Chennai | Mumbai | Jaipur | Bhopal 💼 Experience: 6–8 Years 🔥 Priority: HIGH ⚡ Immediate / Early Joiners Preferred 🛠️ Must-Have Technical Skills ✅ Python – Strong hands-on ML development ✅ PyTorch / scikit-learn / CatBoost ✅ GCP Vertex AI – Model training, tuning and validation ✅ Kubernetes & Argo Workflows – ML pipeline orchestration ✅ MLOps – Model deployment, versioning and monitoring ✅ Feature Engineering – EDA, evaluation and validation ✅ Production ML – Inference pipelines, performance optimisation and troubleshooting 🎯 What You'll Work On • Build and operationalise end-to-end ML models • Automate model training and inference workflows • Deploy scalable ML pipelines on GCP and Kubernetes • Manage model artefacts, versioning and rollback • Monitor production models, drift and inference reliability ⭐ Good to Have • Real-time or batch inference • CI/CD for ML pipelines • Model monitoring and automated retraining 📩 Interested candidates, send your CV to: arkavanta@arkavanta.com Subject: Data Scientist – GCP/MLOps Please share: • Total & relevant experience • Current CTC / Expected CTC • Notice period / Earliest joining date • Current location / Preferred location • LinkedIn profile URL • UAN availability confirmation (mandatory) 🔁 Referrals are welcome! #Hiring #DataScientist #MachineLearning #MLOps #GCP #VertexAI #Kubernetes #ArgoWorkflows #Python #AIJobs #ArkaVanta

(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

Ready to redefine what’s next in AI research? We’re hiring PhD Interns for the AI Research Lab (AIRL) at HPE Labs India. We’re looking for PhD students in their second to fourth year who are pursuing Computer Science or a related discipline, with experience in areas such as: Machine Learning and Deep Learning Generative AI, LLMs and RAG Data Science and Data Engineering NLP, Computer Vision and AI for Science Python, PyTorch, TensorFlow, MLflow or Kubeflow Distributed systems and cloud-native technologies Internship duration: 6 months Location: Bengaluru Apply now: https://lnkd.in/g8bfdMuV Refer to the post for complete eligibility criteria, research areas and preferred skills. #HPECareers #WeAreHPE Suparna Bhattacharya Satish Kumar Mopur Tarun Kumar Samuel Daniel Dharmendra . Guruuprasad Naik Surbhi . Ambrini B Ashirwad A Rao Rakesh Kumar Lopalee Mahapatra