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.
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, Cloud Watch, RDS) Strong Python skills and experience with LLM APIs (Open AI, Anthropic, etc.) Familiarity with fine-tuning techniques (Lo RA, QLo RA, 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
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, Cloud Watch, RDS) Strong Python skills and experience with LLM APIs (Open AI, Anthropic, etc.) Familiarity with fine-tuning techniques (Lo RA, QLo RA, 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
Apply for this Position
Ready to join ? Click the button below to submit your application.
Submit Application