AI / ML Lead Engineer

About the job

Role : AI / ML Lead Engineer Position Type : Full-Time Contract (40hrs / week) Contract Duration : 6 Months Work Schedule : 8 hours / day (Mon-Fri) Location : 100% Remote We are looking for a highly experienced AI / ML Lead Engineer to lead the design, development, and deployment of enterprise-grade AI solutions. This role is hands-on and leadership-focused, covering the full AI / ML lifecycle while mentoring engineers and collaborating with cross-functional teams. Key Responsibilities • Design and deploy production-grade AI / ML models , including LLM-based solutions. • Lead the end-to-end model lifecycle : experimentation, deployment, monitoring, and optimization. • Build LLM applications , prompt-driven systems, and RAG architectures using vector databases (Qdrant). • Perform feature engineering, data analysis , and model optimization on large datasets. • Architect scalable AI solutions using cloud platforms (AWS / Azure / GCP) and MLOps best practices. • Collaborate with Product, Data, and MLOps teams to deliver AI-driven features. • Mentor junior engineers and guide AI / ML best practices. Required Skills & Experience • 14+ years of IT experience , including 6+ years in AI / ML engineering • Strong experience with LLMs, generative AI, and prompt-based architectures • Hands-on experience with RAG patterns and vector databases (Qdrant preferred) • Experience with AWS (ECS, Bedrock, CloudWatch, RDS) • Strong Python skills and experience with LLM APIs (OpenAI, Anthropic, etc.) • Familiarity with fine-tuning techniques (LoRA, QLoRA, instruction tuning) • Experience with CI / CD and Infrastructure as Code (Terraform / AWS CDK) • Comfortable integrating AI services with React-based frontends Education • Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning , or related field

Requirements

• AI
• ML
• Python
• AWS
• Azure
• GCP

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning

Preferred Technologies

• AI
• ML
• Python
• AWS
• Azure
• GCP