AI/ML Engineer – Generative AI & Automation

StarZen – AI/ML & Automation Engineer

Location: Remote

Experience: 3+ Years

About the Role

StarZen is looking for an AI/ML & Automation Engineer who can build and deploy AI, machine learning, Generative AI, and automation solutions for enterprise applications.

Key Responsibilities

• Develop and implement ML, NLP, Computer Vision, and GenAI solutions.
• Build RAG pipelines, including data ingestion, embeddings, retrieval, and grounded responses.
• Develop AI agents with appropriate guardrails, approvals, and human oversight.
• Integrate AI/ML models with APIs, applications, databases, and business workflows.
• Work on prompt engineering, model evaluation, monitoring, and testing.
• Build and deploy AI services using APIs and containers.
• Monitor production AI solutions and continuously improve their accuracy, performance, cost, and reliability.
• Follow best practices for AI security, privacy, responsible AI, and data protection.

Required Skills

• 3+ years of experience in ML Engineering, AI Engineering, or Intelligent Automation.
• Strong hands-on experience with Python and APIs.
• Experience with LLMs, Generative AI, RAG, AI Agents, and Vector Databases.
• Knowledge of ML lifecycle, deployment, monitoring, and data pipelines.
• Experience with software development practices including Git, testing, and version control.
• Understanding of Responsible AI, security, privacy, and human-in-the-loop processes.
• Ability to work with enterprise-level applications and complex business requirements.

Education

• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.
• Relevant AI/ML, cloud, or technology certifications are an advantage.

Soft Skills

• Strong problem-solving and analytical skills.
• Good stakeholder communication.
• Ownership and accountability.
• Ability to deliver solutions within quality, performance, cost, and security requirements.
• Comfortable using enterprise AI tools such as GitHub Copilot, Microsoft Copilot, or similar tools, with appropriate human validation.