We are looking for an 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. The ideal candidate should have strong experience with LLMs, generative AI, and prompt-based architectures.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job Description
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.
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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
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Education
- Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or related field
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