Senior AI Engineer

Key Responsibilities

• Design and develop machine learning and deep learning models
• Build and deploy AI solutions in production environments
• Work on use cases like:
  • NLP (chatbots, LLMs)
  • Computer Vision
  • Recommendation systems
  • Predictive analytics
• Develop and optimize data pipelines for ML workflows
• Fine-tune and deploy Large Language Models (LLMs)
• Integrate AI models into applications via APIs
• Monitor model performance and improve accuracy over time
• Ensure scalability, security, and efficiency of AI systems
• Collaborate with data scientists, engineers, and product teams
• Mentor junior engineers and lead AI initiatives

Core Technical Skills

• Programming: Python (mandatory), Java/Scala (optional)
• Machine Learning & Deep Learning:
  • Supervised/Unsupervised Learning
  • Neural Networks, CNNs, RNNs, Transformers
• Frameworks & Libraries:
  • TensorFlow, PyTorch, Scikit-learn
• NLP & LLMs:
  • Hugging Face Transformers
  • Prompt Engineering
  • Fine-tuning & embeddings
• Data Engineering:
  • Pandas, NumPy, Spark
• MLOps:
  • CI/CD for ML
  • Model versioning & monitoring