Experienced Machine Learning Engineer

1 week ago


bareilly, India beBeeMachine Full time

Job Title: Experienced Machine Learning EngineerWe are seeking an experienced machine learning engineer to join our team. As a senior data scientist, you will be responsible for building, deploying, and optimizing AI/ML models to solve complex business problems.Key Responsibilities:Develop, fine-tune, and deploy Generative AI models (LLMs, diffusion models, transformers) with expertise in PyTorch, TensorFlow, or Keras.Design and implement RAG pipelines using vector databases, embeddings, and retrieval frameworks like LangChain, LlamaIndex, Haystack, FAISS, Pinecone, Milvus, Chroma.Build, train, and optimize deep learning models for NLP, computer vision, and multimodal tasks, including CNNs, RNNs, attention models, and other architectures.Create scalable end-to-end ML pipelines for production environments using Docker, Kubernetes, AWS, Azure, GCP, and MLOps tools.Conduct data preprocessing, feature engineering, and experimentation to evaluate model performance with appropriate metrics and optimize for accuracy, latency, and efficiency.Collaborate with cross-functional teams to integrate AI solutions into applications and enhance existing systems.Research emerging GenAI and DL techniques to improve and maintain high-quality AI products.Requirements & Qualifications:Strong proficiency in Python and experience with popular ML frameworks like PyTorch, TensorFlow, Keras, and Scikit-learn.Solid understanding of LLMs, embeddings, transformers, and prompt engineering with hands-on experience in developing and fine-tuning LLMs.Experience with cloud platforms (AWS, Azure, GCP) and containerization tools like Docker, Kubernetes, and container orchestration services.Hands-on experience with data handling, NLP, and model deployment with knowledge of various libraries, tools, and APIs for data processing, manipulation, and visualization.Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or related fields.



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