Senior Machine Learning Engineer

Role Overview:We are seeking a highly experienced Senior Machine Learning Engineer with a strong engineering foundation and deep expertise in building, deploying, and scaling Machine Learning and Generative AI solutions in production environments.The ideal candidate will have 5+ years of experience across the complete ML lifecycle, from data acquisition and model development to MLOps, deployment, monitoring, and business impact measurement. The candidate should have demonstrated success in delivering commercial AI products and building production-grade AI applications leveraging modern LLMs and Generative AI frameworks.Key Responsibilities:Machine Learning & Data ScienceDesign, develop, and deploy end-to-end ML solutions at scale.Build and optimize predictive models, recommendation systems, NLP solutions, and deep learning applications.Drive the complete data science lifecycle:Problem formulationData explorationFeature engineeringModel trainingEvaluationProduction deploymentMonitoring and retrainingGenerative AIBuild enterprise-grade GenAI applications using:OpenAIAzure OpenAIAnthropic ClaudeLlamaMistralGeminiDesign and implement:RAG architecturesAgentic AI systemsMulti-agent frameworksPrompt engineering strategiesFine-tuning pipelinesKey Responsibilities:Design, build, deploy, and monitor production-grade ML solutionsDevelop AI/ML applications using modern ML and GenAI frameworksBuild and optimize end-to-end ML pipelinesCollaborate with Product and Engineering teams to deliver business impactDrive best practices in MLOps, model governance, and scalabilityPreferred Skills:Python, SQL, SparkML/DL frameworks (PyTorch, TensorFlow, Scikit-learn)LLMs, RAG, Agentic AIDocker, Kubernetes, Cloud Platforms (AWS/Azure/GCP)MLOps and model deployment