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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

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