Senior AI/ML Engineer- NLP/Python

Responsibilities:

• Design, develop, and deploy AI/ML models for real-world applications.
• Work with NLP, deep learning, and traditional ML algorithms.
• Develop end-to-end ML pipelines.
• Optimize model performance using hyperparameter tuning.
• Implement AI-driven solutions using TensorFlow, PyTorch, Scikit-learn, and other frameworks.
• Work with structured and unstructured data, performing data wrangling and feature extraction.
• Deploy models in cloud environments (AWS, Azure, or GCP) using tools like SageMaker or Vertex AI.
• Collaborate with cross-functional teams to integrate AI models into production.
• Ensure scalability, performance, and efficiency of AI/ML solutions.
• Stay updated with emerging AI trends and technologies.

Required Skills:

• Strong experience in machine learning, deep learning, NLP, and AI model development.
• Proficiency in Python, TensorFlow, PyTorch, Scikit-learn, and OpenAI GPT models.
• Expertise in NLP techniques (Word2Vec, BERT, transformers, LLMs).
• Hands-on experience with computer vision (CNNs, OpenCV, YOLO).
• Solid understanding of ML model deployment and MLOps (Docker, Kubernetes).
• Experience with cloud platforms (AWS, Azure, GCP) for AI/ML model deployment.
• Strong knowledge of SQL, NoSQL databases, and big data processing tools (PySpark, Databricks).
• Familiarity with API development using Django, Flask, or FastAPI.

Preferred Skills:

• Experience with AI-powered chatbots and OpenAI API integration.
• Exposure to LLMs (GPT, LLaMA, Falcon, etc.) and generative AI models.