jobs in the wild.

📍 Location: Bangalore 🏢 Work Model: Hybrid (2 days a week at office) 💼 Experience: 6-8 years 🔧 What you'll do: • Build production-grade AI applications, copilots, and multi-agent systems • Design RAG architectures, semantic search, and vector database solutions • Orchestrate intelligent agents with planning, reasoning, and tool usage • Apply context engineering: prompt design, memory, grounding, retrieval strategies • Build MCP (Model Context Protocol) integrations for secure access to enterprise tools • Create evaluation frameworks and AI observability (tracing, token tracking, dashboards) • Ensure security, governance, and responsible AI, including prompt injection protection ✅ What we're looking for: • 6-8+ years in software engineering with strong Python or Node.js • Hands-on experience deploying AI apps in production • Experience with agentic frameworks and workflow orchestration • Strong grasp of RAG, embeddings, and vector databases • Experience with Azure AI Foundry / Azure OpenAI or equivalent platforms • Understanding of AI evaluation, observability, and responsible AI • Strong communication and collaboration skills 📩 Interested? Send your resume to nimna.judy@wizr.ai or DM me directly. Please share your current CTC, expected CTC, and notice period #Hiring #AIEngineer #GenAI #LLM #RAG #AgenticAI #MCP #AzureOpenAI #Python #BangaloreJobs #opentowork #HybridJobs #Immediatejoiner

📍 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

Ready to make an impact at scale? JPMorganChase is seeking a Lead Software Engineer Agentic AI Solutions , Java or Python to join our Corporate Technology Data Strategy & Architecture team in Bengaluru. In this role, you will Drive significant business impact and tackle a diverse array of challenges that span multiple technologies and applications. Required:- Hands-on experience building and shipping LLM-based applications and agentic systems with tool use, memory, and multi-step reasoning in production environments Advanced proficiency in one or more programming languages, particularly Python and/or Java Deep experience with large-scale data processing, microservices, API design, and event streaming (Kafka) Experience with LLM orchestration frameworks . Hands-on experience with model serving infrastructure or managed endpoints (AWS Bedrock, Azure OpenAI) Apply here: https://lnkd.in/e7iFchpf #JPMorganChase #JPMC #Hiring #JoinOurTeam #BengaluruJobs #SoftwareEngineering #Java #Python #AgenticAI

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

If you’re driven by large-scale problems, love building platforms that empower innovation, and want to make a direct impact in a cutting-edge AdTech environment, we’d love to hear from you! At PubMatic, data operates at an incredible global scale, and we’re looking for a Senior ML Platform Engineer to help us build the next generation of machine learning infrastructure that powers trillions of ad impressions daily. In this role, you’ll design and scale the frameworks that drive ML experimentation, training, and production across petabyte-scale datasets. You’ll collaborate with talented Data Scientists, ML Engineers, and Product teams to bring innovative AI solutions from concept to reality — accelerating experimentation, enhancing efficiency, and influencing how AI shapes the AdTech ecosystem. We are looking for 5–10 years of experience working with big data and distributed systems. Strong skills in Python/Scala/Java and experience with ML Ops, CI/CD, and data workflows. A passion for applied AI/ML and turning research concepts into real-world impact. 💡Key Highlights: ▪️ Building scalable ML/AI platforms and data pipelines using distributed systems (Spark, Hadoop, Kafka, Snowflake). ▪️ Enabling experimentation, observability, and ML Ops using modern frameworks (Airflow, MLflow, Triton, Kubernetes, etc.). ▪️ Empowering teams with reusable components, APIs, and SDKs to drive applied AI use cases such as forecasting, benchmarking, and reinforcement learning. ▪️ Exploring emerging technologies in Generative AI, RAG systems, and GPU-accelerated computing. 📍Location: Pune, India 🎓Education: Bachelor’s or master's in computer science, Data Engineering, or related field 🔗 Apply here: https://lnkd.in/d7wWcTnX hashtag #MachineLearning hashtag #MLOps hashtag #DataEngineering hashtag #AdTech hashtag #AI hashtag #PubMatic hashtag #Hiring

📍 Location: Bengaluru, India | 💼 Experience: 3–10 Years | 🎓 Education: B.Tech / BE (MBA a plus) We are looking for a hybrid Product Owner, Data Lead, and AI Builder to own our field-facing digital transformation end-to-end. If you can talk strategy with CXOs, build GenAI prototypes hands-on, and drive tech adoption with ground sales teams, this role is for you. Key Responsibilities Digital Products: Own field-facing web/mobile platforms to drive sales-force productivity. GenAI & Innovation: Build and deploy practical GenAI/LLM solutions, RAG pipelines, and agentic automations. BI & Analytics: Deliver real-time executive dashboards (Power BI/Tableau) and retail KPIs. Delivery & Governance: Manage Agile sprints with vendor/dev teams while ensuring customer master data quality and platform reliability. What You Bring Track Record: 3–10 years across Product Management, Business Analysis, BI, or Digital Transformation (Retail/SFA preferred). Tech Skills: Python, GenAI/LLMs, RAG, SQL, Data Modeling, Cloud (AWS), REST APIs. Delivery & Leadership: Agile/Scrum delivery, vendor management, and top-notch stakeholder communication. Why Apply? Direct business impact on a pan-India platform used daily. Put real AI into production—not just POCs or slide decks. Direct visibility with executive leadership. 📩 Interested? Apply Link below #Hiring #DigitalTransformation #ProductManager #GenAI #RetailTech #DataAnalytics Joeprakash Nathaman Harini Venkatesh Krishnapriya Manojkumar

📍 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

🚀 Want to shape the future of AI at ABB and work with cutting-edge technologies? Join us! We’re looking for a Senior Global Data & AI Specialist to join our Data & AI Platforms team at ABB — and this is an incredibly exciting time to become part of our journey! 🔥 This role combines global technology leadership with hands-on engineering. You’ll split your time between two exciting areas: 🌐 50% — Building the future of our Data & AI Platforms You’ll help define and establish global standards, blueprints and best practices for all users of our Snowflake and Azure platforms, including: 🤖 AI Governance and Agent-to-Agent communication 🔌 MCP Server architecture and integrations ⚙️ MLOps, AIOps and production-ready AI practices 📐 Reusable architecture patterns, engineering standards and scalable AI solutions 🚀 50% — Building real AI/ML solutions You’ll work hands-on with projects that turn innovative ideas into real business value, developing and deploying solutions using: 🧠 Machine Learning and predictive analytics ⚡ Generative AI, LLMs, RAG and AI agents ☁️ Microsoft Foundry and Azure AI/ML ❄️ Snowflake Cortex AI and Snowpark ML 🐍 Python, SQL and modern MLOps practices What makes this opportunity special? You won’t just consume technology — you’ll help define how AI is built, governed and operated across global enterprise platforms, while continuing to develop solutions yourself. If you’re passionate about AI/ML engineering, enjoy working with the latest technologies and want to make an impact beyond individual projects, this is your chance to help shape the future of enterprise AI at ABB! 🌍 📍 Possible locations: 🇮🇳 Bangalore, India — https://lnkd.in/dNCtNkdG 🇵🇱 Krakow, Poland — https://lnkd.in/dYYe2MCi 🇧🇷 São Paulo, Brazil — https://lnkd.in/dMMpcpMm 🇧🇦 Sarajevo, Bosnia and Herzegovina Know someone who would thrive in this role? Share this opportunity with them! #ABB #DataAndAI #MachineLearning #AgenticAI #AIGovernance #MLOps #AIOps #MCP #GenerativeAI #AzureAI #Snowflake #Hiring

📍 Location: Kolkata 💼 Experience: Evaluation & Diagnostics Experience: 2+ years of proven experience creating evaluation test cases, running diagnostics, and guiding customers to auditable, secure and reliable AI. Engineering & Implementation: 7+ years in software engineering and custom project implementation, preferably in regulated environments. 🔹The Opportunity : As the capability lead, you will dedicate the core of your efforts to designing and building our evaluation and observability infrastructure on Arize AX. This includes setting up agent tracing, golden evaluation datasets, LLM-as-judge frameworks, and automated regression gates in CI/CD pipelines so no agent ships without verified performance. Beyond technical architecture, you will define the end-to-end evaluation strategy aligned with OWASP Top 10 standards for LLM applications, maintain auditable ADLC work instructions, and mentor engineering talent to build a self-sufficient Evaluation & Diagnostic capability within our India Capability Center (ICC). 🔹What We Are Looking For : The ideal leader brings over seven years of software engineering and project delivery experience, paired with at least two years of specialized work in AI evaluation, tracing, and diagnostics. Strong fundamentals in Python, APIs, automated testing, and CI/CD are essential, along with hands-on mastery of observability tools such as Arize AX, Arize Phoenix, LangSmith, Langfuse, Ragas, DeepEval, promptfoo, or TruLens. Candidates with experience in AI red-teaming tools like Garak and PyRIT, PII detection, and Amazon Bedrock Model Evaluation and Guardrails will be strongly positioned for this role. 🔹What Sets You Apart : Because our software operates in mission-critical laboratory settings, autonomous systems must align with GxP and 21 CFR Part 11 traceability standards. The strongest candidates will have tangible examples of production systems they have built, such as golden-dataset evaluation suites, custom red-teaming test harnesses, or CI/CD gating frameworks that customers relied on to sign off on AI deployments. Experience scaling engineering capabilities in global delivery centers and working within highly regulated life-sciences environments will make you stand out immediately. If you are a quality-driven AI leader passionate about proving that agents are safe, reliable, and compliant, we would love to connect. Drop me a direct message or share your resume to explore this opportunity. Interested candidates can share their profiles at:📧 rima.bhattacharya@labvantage.com and the subject line for your email will be - your name_Evaluation & Diagnostic AI Lead #Hiring #AIEvaluation #AIObservability #GenerativeAI #AIAgents #ArizeAX #LangSmith #LLMSecurity #LabVantage #TechCareers #AILeadership

Want to use ML and GenAI to protect millions of Amazon transactions every day? On BRP, you'll own fraud detection models end-to-end, from defining the problem through to running them in production, in real time, using terabytes of data. You'll need: a PhD or master's degree, 3+ years building ML models for business problems, publications at top-tier venues or patents, and strong Python, Java, or C++ skills. 🔗 Apply: https://lnkd.in/gr73-MaJ DM me or share this with someone who'd be a good fit! 🙌 #Hiring #AppliedScientist #MachineLearning #FraudDetection #GenAI #AmazonJobs

The role focuses on building agentic AI products for the US and UAE healthcare markets, across revenue cycle management, risk adjustment and healthcare interoperability. Strong Python and backend engineering skills are essential, along with hands-on experience taking AI systems into production. Experience with RCM, RAF/HCC or FHIR/HL7 integrations would be a big plus. You’ll work closely with the clinical and product teams and take ownership from architecture through deployment. DM me with your CV and a little about what you’ve built. If someone comes to mind, I’d appreciate an introduction. Email me at: rishav@docstribe.com #Hiring #Gurgaon #HealthcareAI DocsTribe AI Akash Manu Srivastava