We are seeking a highly skilled and experienced Lead AI Engineer to lead the design, development, and deployment of advanced AI solutions across our enterprise. The ideal candidate will have a deep understanding of AI/ML algorithms, scalable systems, and data engineering best practices.

Responsibilities

- Design and develop production-grade AI and machine learning models for real-world applications (e.g., recommendation engines, NLP, computer vision, forecasting).
- Lead model lifecycle management from experimentation and prototyping to deployment and monitoring.
- Collaborate with cross-functional teams (product, data engineering, MLOps, and business) to define AI-driven features and services.
- Perform feature engineering, data wrangling, and exploratory data analysis on large-scale structured and unstructured datasets.
- Build and maintain scalable AI infrastructure using cloud services (AWS, Azure, GCP) and MLOps best practices.
- Mentor junior AI/ML engineers, guiding them in model development, evaluation, and deployment.
- Continuously improve model performance by leveraging new research, retraining on new data, and optimizing pipelines.
- Stay current with the latest developments in AI, machine learning, and deep learning through research, conferences, and publications

Requirements

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- Bachelor s or Master s degree in Computer Science,



Data Science, Machine Learning or related field.
- 14+ years of IT experience with a minimum of 6+ years of AI/ML
- Experience in AI/ML engineering, particularly with building LLM-based applications and prompt-driven architectures.
- Solid understanding of Retrieval-Augmented Generation (RAG) patterns and vector databases (especially Qdrant).
- Hands-on experience in deploying and managing containerized services in AWS ECS and using CloudWatch for logs and diagnostics.
- Familiarity with AWS Bedrock and working with foundation models through its managed services.
- Experience working with AWS RDS (MySQL or MariaDB) for structured data storage and integration with AI workflows.
- Practical experience with LLM fine-tuning techniques, including full fine-tuning, instruction tuning, and parameter-efficient methods like LoRA or QLoRA.
- Solid understanding of recent AI advancements such as multi-agent systems, AI assistants, and orchestration frameworks.
- Proficiency in Python and experience working directly with LLM APIs (e.g., OpenAI, Anthropic, or similar).
- Comfortable working in a React frontend environment and integrating backend APIs.
- Experience with CI/CD pipelines and infrastructure as code (e.g., Terraform, AWS CDK)

📌 Lead AI Engineer (Ahmedabad)
🏢 ELF Beauty
📍 Ahmedabad