Live opening · Posted 8 days ago

AI/ML Engineer – Generative AI & Automation

StarZen · Gurugram, Haryana, India (On-site)
Linkedin No
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At a glance

The key details from the original listing.

Posted 8 days ago
CompanyStarZen
LocationGurugram, Haryana, India (On-site)
Salary3.5M INR/yr - 4.5M INR/yr + Bonus
Work modeNo
SkillsPython
SourceLinkedin
ListedPosted 8 days ago

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About the role

Description supplied by the original job listing.

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.

Work arrangement
No

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