AI Engineer Pass

Role Overview

Apply for AI Engineer Pass for Roles with companies seeking a passionate and hands-on AI Engineer to help build and scale intelligent features directly into our product. In this fast-paced, high-impact environment, you will play a key role in developing machine learning pipelines, fine-tuning models, and deploying them seamlessly.

Key Responsibilities

• Design, train, and deploy machine learning and deep learning models (NLP, vision, or tabular).
• Collaborate with product and engineering teams to build AI-driven features end-to-end.
• Build and maintain data pipelines and model training infrastructure.
• Monitor and evaluate model performance in production environments.
• Research and implement state-of-the-art techniques to improve model outcomes.
• Optimize models for performance, scalability, and real-time inference.
• Ensure reproducibility, traceability, and version control of model experiments.

What They Look For

Skills:

• Strong foundation in machine learning and deep learning algorithms.
• Proficiency in Python and ML libraries like PyTorch, TensorFlow, and Scikit-learn.
• Experience with model deployment and serving including REST APIs, ONNX, and TorchScript.
• Familiarity with data handling tools such as Pandas and NumPy, and workflow tools like MLflow and Airflow.
• Strong problem-solving skills and an iterative, experiment-driven mindset.

Qualifications

• Required Experience: 3–10 years
• Bonus Points: Exposure to LLMs, embeddings, vector databases (e.g., FAISS, Pinecone), MLOps or DevOps workflows, GPT-like models, retrieval-augmented generation (RAG), multimodal systems, cloud platforms (AWS, GCP, or Azure), and streaming data or real-time systems.

What They Offer

• High ownership and the chance to shape AI-first product experiences.
• Fast-paced learning and exposure to the entire product lifecycle.
• A collaborative team environment with room to grow and lead.
• Opportunities to work on cutting-edge ML applications with real user impact.