Senior AI / ML Engineer - NLP / Deep Learning

Key Responsibilities

• Design, develop, and deploy AI / ML models for real-world applications
• Apply NLP, deep learning, and traditional machine learning algorithms to solve complex business problems
• Build end-to-end machine learning pipelines, including data preprocessing, feature engineering, model training, and deployment
• Optimize model performance through hyperparameter tuning and rigorous evaluation techniques
• Develop AI solutions using TensorFlow, PyTorch, Scikit-learn, OpenAI APIs, Hugging Face, and similar frameworks
• Work with structured and unstructured data for wrangling, transformation, and feature extraction
• Deploy models on cloud platforms such as AWS, Azure, or GCP using SageMaker, Vertex AI, or Azure ML
• Collaborate with software engineers, data scientists, and product teams to integrate AI models into production
• Ensure model scalability, performance, and efficiency in real-time environments
• Stay informed on emerging trends in AI and apply innovative techniques to improve solutions

Required Qualifications

Preferred Qualifications

Skills Required

Aws, Azure, Gcp, Azure ML, Sql, Nosql, Pyspark