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

At TGlobal we build real products for clients in the US, Europe and the Middle East, and we ship fast with AI in the loop and humans in charge. What you'd work on: → SaaS products, from first commit to launch → AI agents and automation workflows → E-commerce builds → Lead-gen systems that bring in real customers What we're looking for: → Comfortable across frontend and backend (React/Next.js, Node or Python) → You've shipped something people actually use → You use AI coding tools well and still own the quality → You like variety and take ownership end to end How we work: → Fully remote, flexible hours → We care about output, not time at a desk → Small team, real responsibility from week one See what we build: https://tglobal.in/work How we ship in two weeks: https://tglobal.in/process Interested? Comment "INTERESTED", then check out the TGlobal AI page and send them a message with something you've built: https://lnkd.in/gVUPjm2p Know someone who'd fit? A tag helps a lot 🙏 #Hiring #FullStackDeveloper #RemoteJobs #AIEngineering #TglobalAI

This is a full-time remote role, and needs strong hands-on experience with Databrick, python, Azure and AWS. You’ll be building and owning data pipelines end-to-end — ingestion to curated, analytics-ready data — on a modern lakehouse stack. Medallion architecture, Delta Lake, Unity Catalog, DLT, PySpark. The works. What we’re looking for: 1. 5+ years in data engineering (real experience, not resume padding) 2. Deep Databricks hands-on: Spark, Delta Lake, Workflows, Unity Catalog, cluster tuning 3. Expert-level Python: OOP, packaging, testing, the full software engineering discipline 4. Strong Azure (ADLS Gen2, ADF, Event Hubs) and AWS (S3, Glue, Lambda, Kinesis) 5. Can work with a minimum 4-hour daily overlap with US Eastern Time Candidate's preferred location: Mumbai or Pune, though the role is remote. If this sounds like you, send over your resume and a short note on your most relevant Databricks and Python project to connect@varysdi.com (No DMs). High intent only. AI slop is deeply discouraged and frowned upon! If anyone in your network comes to mind after reading this, we appreciate you pointing them our way. #Hiring #DataEngineering #Databricks #Python #Azure #AWS #DataPlatform #RemoteWork #LakeHouse #PySpark #TechHiring #DeltaLake #DataEngineer Varys DI Parth Waidya

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

Remote · Part-time · 0-2yr(Nightshift) Skills: Playwright, TypeScript/Python, Test Automation, CI/CD, Git Apply in a minute with your resume on Fillevo: https://lnkd.in/dhkD8Cb3

We are looking for an experienced Data Platform Production Support Engineer to support and maintain an enterprise data platform, ensuring reliable data pipelines, accurate reporting, and timely incident resolution. Key Responsibilities: • Provide L1/L2 production support for data platforms and pipelines. • Monitor pipeline health, investigate failures, and resolve incidents within defined SLAs. • Troubleshoot data pipeline failures and dashboard/data issues across source, ingestion, transformation, warehouse, and BI layers. • Perform Root Cause Analysis (RCA) and recommend preventive measures for recurring issues. • Support automated failure detection, ServiceNow incident management, and incident tracking. • Validate data quality, transformations, dependencies, and upstream/downstream impacts. • Maintain runbooks, knowledge articles, and operational documentation. • Identify opportunities to improve monitoring, alerting, automation, and operational efficiency. • Collaborate with Data Engineering, Analytics Engineering, Platform, Security, Business teams, and vendors. Required Skills: • 3+ years of experience in Data Engineering, Data Platform Operations, or Production Support. • Strong SQL skills for data investigation and validation. • Solid understanding of data pipelines, ETL/ELT processes, and end-to-end data flow. • Hands-on experience with Snowflake or similar cloud data warehouses. • Experience in production troubleshooting, RCA, incident management, SLA compliance, and escalation processes. • Ability to identify upstream/downstream dependencies and communicate effectively with stakeholders. • Comfortable supporting distributed teams across IST and North American time zones. Preferred Skills: • Experience with Fivetran, dbt Cloud, Sigma, or Atlan. • Familiarity with ServiceNow, Splunk, and monitoring/observability tools. • Python or scripting skills for support automation. • Knowledge of CI/CD, Git/GitHub, data quality, monitoring, and alerting. • Experience supporting enterprise cloud data platforms and integrations. Ideal Candidate: A proactive problem-solver with strong analytical skills, excellent communication, and the ability to work in a high-volume production support environment. Interested candidates can apply or share their profiles. Location: Remote (contract) Please send your resume with current and expected CTC on parsavtek@gmail.com / hello@parsavtek.com #Hiring #DataEngineering #ProductionSupport #Snowflake #SQL #DataPlatform #ETL #ELT #RCA #TechJobs #Remote