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, 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
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
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