Chief Machine Learning Engineer

1 week ago


meerut, India beBeeArtificialIntelligence Full time

About this roleDevelop and implement large-scale machine learning pipelines, services, and platforms using modern cloud and DevOps practices.ResponsibilitiesIntegrate generative AI models into business applications.Design and develop autonomous and semi-autonomous AI agents using agentic frameworks.Collaborate with cross-functional stakeholders to translate business needs into AI-driven solutions.Lead code reviews, guide junior engineers, and ensure best practices in model development and deployment.Evaluate new tools, frameworks, and approaches to maintain a cutting-edge AI ecosystem.Qualifications8–10 years of hands-on experience in machine learning, deep learning, and AI engineering.Prior experience in architecting AI/ML systems, including solution design, model lifecycle management, and scalability considerations.Required SkillsStrong expertise in: Python, TensorFlow / PyTorch.Model training, optimization, and evaluation.Data engineering concepts & ML pipeline automation.Deep understanding of GenAI, including LLMs, prompt engineering, fine-tuning, embeddings, vector DBs, and RAG.Hands-on experience with agentic AI frameworks (LangChain, AutoGen, LlamaIndex).Cloud experience (AWS, Azure, or GCP) with MLOps tools such as SageMaker, Vertex AI, MLflow, Kubeflow.Strong problem-solving abilities with the ability to convert business challenges into AI-based solutions.



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