AI/ML Engineer

2 weeks ago

Chennai, India YesOrYes Full time

Experience : 2-8 Years

Location: Chennai

Job Description:

We are seeking a passionate and hands-on
AI/ML Engineer

with 2 to 8 years of experience to join our cutting-edge
Generative AI

developement initiatives. The ideal candidate will have strong expertise in building
Agentic AI ,

Multimodal RAG applications

,
Fine tuning and Prompt Engineering

with practical experience in vector databases, embeddings, and model integrations.

Key Responsibilities:

  • Design, build, and deploy
    Multimodal RAG architectures

for enterprise AI use cases.
- Work with
embedding models

,
chunking strategies

, and
vector databases

(e.g., VertexAI, PGVector, Pinecone, Milvus, Qdrant).
- Integrate
LLMs

such as
Gemini 2.5, Gemma 3 , or LLaMA 4

into GenAI pipelines.
- Implement
CI/CD pipelines

and support
MLOps/LLMOps

frameworks.
- Collaborate with cross-functional teams for scalable deployment on
GCP

or
AWS

cloud platforms.
- Perform continuous evaluation and optimization of GenAI models for performance, relevance, and cost efficiency.

Required Skills:

  • 1–2 years of experience in
    AI/ML development

with a focus on GenAI or RAG systems
- Strong hands-on experience with:
- Vector databases

(e.g., VertexAI, FAISS, PGVector, Pinecone, Milvus)
- Text/image/audio chunking

,
embedding generation

, and
vector search
- Multimodal input handling

and retrieval strategies
- Familiarity with
GCP /Vertex AI

or
AWS Bedrock

platforms is an added advantage
- Experience working with LLMs like
Gemini

,
Gemma

,
LLaMA 4

, or similar
- Knowledge of
CI/CD pipelines

,
MLflow

,
LangChain

, or other LLMOps tools

Preferred Qualifications:

  • Bachelor's or Master's degree in Computer Science, AIML, Data Science, or a related field
  • Certification in GCP/AWS/ML preferred
  • Open-source contributions or published projects in GenAI or RAG , Agentic AI domains

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