Senior Natural Language Processing Engineer

4 days ago

Gurgaon, Haryana, India beBeeMachineLearning Full time ₹ 1,04,000 - ₹ 1,30,878

Machine Learning Engineer (NLP/Python)

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We are seeking an experienced Machine Learning Engineer with expertise in natural language processing and Python to design, develop, and deploy end-to-end AI models. This role requires proficiency in frameworks like TensorFlow and PyTorch, as well as experience with cloud-based AI solutions to solve complex business problems.

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  • Design, develop, and deploy AI/ML models for real-world applications using NLP techniques such as Word2Vec, BERT, transformers, and LLMs.
  • Work with deep learning algorithms to solve complex business problems.
  • Develop end-to-end ML pipelines, including data preprocessing, feature engineering, model training, and deployment.
  • Optimize model performance using hyperparameter tuning and model evaluation techniques.
  • Implement AI-driven solutions using TensorFlow, PyTorch, Scikit-learn, OpenAI APIs, Hugging Face, and similar frameworks.
  • Work with structured and unstructured data, performing data wrangling, transformation, and feature extraction.
  • Deploy models in cloud environments (AWS, Azure, or GCP) using SageMaker, Vertex AI, or Azure ML.
  • Collaborate with cross-functional teams to integrate AI models into production systems.
  • Ensure scalability, performance, and efficiency of AI/ML solutions.
  • Stay updated with emerging AI trends and technologies to drive innovation.
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Required Skills and Qualifications

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  • Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
  • Strong experience in machine learning, deep learning, NLP, and AI model development.
  • Proficiency in Python, TensorFlow, PyTorch, and Scikit-learn.
  • Expertise in NLP techniques (Word2Vec, BERT, transformers, LLMs, text classification).
  • Hands-on experience with computer vision (CNNs, OpenCV, YOLO, custom object detection models) is a plus.
  • Solid understanding of ML model deployment and MLOps (Docker, Kubernetes, CI/CD for ML models).
  • Experience in working with cloud platforms (AWS, Azure, GCP) for AI/ML model deployment.
  • Strong knowledge of SQL, NoSQL databases, and big data processing tools (PySpark, Databricks, Hadoop, Kafka, etc.).
  • Familiarity with API development using Django, Flask, or FastAPI for AI solutions.
  • Strong problem-solving, analytical, and communication skills.
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