KOCHI · FULLTIME
Sr AI/ML Engineer

Milestone Technologies
Kochi · onsite · Posted 4d ago
Sourced from
Undisclosed6–11 yrsfulltimeKochi
Your match
?
Sign in to see your match score, skill gaps & tailored resume.
Section · 01
About this role
Role summary
Implements and tests assigned capabilities across feature suites, including RAG pipeline integration and prompt tuning; delivers GraphRAG-based dynamic query generation, graph-aware retrieval, and knowledge-graph schema evolution support; delivers full orchestration integration for the platforms orchestration component.
Key responsibilities
- Develop feature logic for assigned capabilities within assigned feature suites
- Design and tune prompts and RAG pipeline integrations
- Validate sprint-level acceptance criteria against the golden dataset baseline
- Coordinate with the AI Architect and Backend Engineer on design and integration questions
- Build GraphRAG-based dynamic query generation to replace template-based SPARQL querying
- Deliver graph-aware retrieval agent cards
- Support knowledge-graph schema evolution
- Coordinate with the KG validation workstream on schema and validation questions
- Deliver full orchestration integration with the platforms cookbook-based orchestration component
- Integrate the RAG-layer retrieval pipeline to inform agent selection, routing and response generation
- Document the upgrade path to fine-tuning (documentation only, not an implementation, in this phase)
- Expand the golden dataset and semantic grounding
- Maintain question-and-answer baseline categorization
Required skills & experience
- 6+ years AI engineering experience with strong Python fundamentals
- Hands-on RAG pipeline and prompt-engineering experience
- LLM application development experience
- Comfortable validating work against a capped, governed golden dataset rather than open-ended tuning
- 3+ years RAG / GraphRAG implementation experience
- Vector store integration experience
- Familiarity with SPARQL and graph-aware retrieval
- Strong Python skills
- 3+ years RAG implementation and orchestration integration experience
- Vector store / retrieval pipeline integration experience
- Comfortable scoping a fine-tuning upgrade path as a design recommendation rather than an implementation
- 3+ years NLP / semantic engineering experience
- Ontology mapping and semantic disambiguation experience
- Experience building or validating golden Q&A datasets for grounding LLM systems
Preferred qualifications
- Experience on a regulated or enterprise AI product
- Familiarity with LangGraph or comparable agent frameworks
- Direct experience replacing a template-based SPARQL approach with GraphRAG
- Experience coordinating with a separate KG validation team
- Experience with cookbook-style orchestration frameworks
- Experience writing forward-looking technical design documents (vs. shipping code) when scope calls for it
- Experience working within a per-sprint expansion cap rather than open-ended dataset growth
- Pharma/manufacturing terminology disambiguation experience
Education
B.Tech/MCA in Computer Science, AI/ML, or a related field, or equivalent practical experience.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Let the agent run this one for you.
Tailored resume, auto-apply, and referral lookup — in under 2 minutes.
Section · 02
Skills
CapRetrieval Augmented GenerationschemaontologyorchestrationTechnical designml engineerNatural Language ProcessingVectorintegrationsMappingLarge Language Models (LLMs)semanticPythonManufacturingApplication DevelopmentPharmaArtificial IntelligenceMachine Learning
Section · Company
About Milestone Technologies

Milestone Technologies
IT Services & Consulting
1001-5000
employees
1997
29 years old
Fremont, California
United States
About
An IT services firm focusing on enhancing technology frameworks and enabling digital transformation for diverse industries like tech, media, and healthcare.
Industries
IT Services & Consulting
Employee ratings
103 reviews
4.0/ 5
Culture
4.1
Career growth
3.4
Work-life
4.2
Employees rate it well for
Work Life Balance12Senior Management10Work Culture7Job Security6Salary5
Find them on