Senior AI Engineer

Role Overview

As a Senior AI Lead, you will be responsible for designing and deploying advanced AI systems, mentoring teams, and aligning AI initiatives with business goals. You will work closely with cross-functional stakeholders to deliver impactful, data-driven solutions.

Key Responsibilities

• Lead the design, development, and deployment of AI/ML models at scale
• Define and execute AI strategy aligned with business objectives
• Architect end-to-end AI systems (data pipelines, model training, deployment)
• Collaborate with product, engineering, and business teams to identify AI opportunities
• Mentor and manage a team of data scientists and ML engineers
• Ensure best practices in MLOps, model monitoring, and lifecycle management
• Drive innovation in areas like Generative AI, NLP, and advanced analytics

Required Skills & Experience

• 4 years of experience, with 2 years in AI/ML roles
• Strong expertise in Machine Learning, Deep Learning, and AI frameworks
• Proficiency in Python and libraries such as TensorFlow, PyTorch, or Hugging Face
• Experience with NLP, Computer Vision, or Generative AI (LLMs, RAG, fine-tuning)
• Hands-on experience with cloud platforms (AWS/GCP/Azure)
• Strong understanding of MLOps, CI/CD, and model deployment
• Experience designing scalable data and AI architectures
• Solid understanding of data engineering concepts and tools

Preferred Qualifications

• Experience with vector databases (e.g., FAISS, Pinecone)
• Familiarity with big data tools like Spark
• Knowledge of AI ethics, governance, and data privacy regulations
• Prior experience in leading and scaling AI teams