Dechen Openings - Artificial Intelligence Specialist - Chennai!

Dechen Consulting; Puducherry, Chennai District; Hybrid; INR 2,500,000 - 4,000,000; Full time

Job summary

Dechen is seeking an AI Specialist to build AI use cases from requirements through production: data access, grounding, model or agent, integration, release and handover. Expect three or more use cases over the initial term, with an AI engineer pairing on each one and sign-off by the client.

Proposals detailing baseline, target, cost, and success criteria must be written before starting.

Qualifications

• 5+ years hands-on in AI with at least 1 year in GCP.
• Experience building AI use cases from requirements through to production.
• Ability to write proposals outlining baseline, target, costs and success measures.

Responsibilities

• Build assigned AI use cases from agreed requirements through to production.
• Ensure data access, grounding, model/agent, integration and release.
• Write the test sets and scoring methods; document and monitor accuracy, latency and cost.

Skills

AI/ML

Python

GCP

Education

Any Bachelor's degree

Tools

GCP

Job description

Company: Dechen

Role: Artificial Intelligence Specialist

Years of experience required: Overall 5+ years hands-on in AI and at least 1 year in GCP

Location: Chennai - Sholinganallur

Work Mode: Hybrid - 4 days in a week

Position Description:

Build assigned AI use cases from agreed requirement through to production: data access, grounding, model or agent, integration, release and handover. Expect three or more use cases over the initial term rather than one large programme. An AI engineer pairs with you on each one and holds the sign-off; accuracy thresholds and release approval rest with client, and you build and produce the supporting evidence. Write a short proposal before building starts: the current baseline, the target, what it will cost, what has to be true before release, and what gets measured afterwards. Agree those numbers with the requesting team and the paired engineer. Choose the simplest design that will hold up in production rules, a query or a small model where those will do. Build the test set and scoring method for each use case, keep them in version control next to the code, and run them before every release. Report accuracy, latency and cost honestly, including where the system fails. A use case that is not ready should be reported as not ready. After release, watch for drift, cost and unexpected use, and fix what the monitoring shows. Build ingestion, retrieval, agent scaffolding and deployment steps so the next use case starts from working parts rather than a blank repository, and use the shared test harness rather than a separate arrangement per project.

Experience Required:

Overall 5+ years hands-on in AI and at least 1 year in GCP

Skills Required:

• AI/ML
• Python
• GCP

Education Required: Any Bachelors' degree

LOOKING FOR IMMEDIATE TO 15 DAYS NOTICE CANDIDATES ONLY.