GenAI/ML Engineer

Department:

Reports To:

Location:

Role Summary:

AI/ML & Generative AI Developer

Key Responsibilities:

• Design, develop, and deploy AI/ML models and

  Generative AI applications

  for diverse enterprise use cases.
• Implement, fine-tune, and integrate

  Large Language Models (LLMs)

  using frameworks like

  LangChain

  ,

  LlamaIndex

  , and

  RAG pipelines

  .
• Build

  Agentic AI systems

  with multi-step reasoning and autonomous decision-making capabilities.
• Create

  secure and scalable data ingestion pipelines

  for structured and unstructured data, enabling

  indexing

  ,

  vector search

  , and

  advanced retrieval

  .
• Collaborate with cross-functional teams (Data Engineers, Product Managers, Architects) to operationalize AI solutions.
• Build

  CI/CD pipelines

  for ML/GenAI workflows and support end-to-end MLOps practices.
• Leverage

  Azure

  and

  Databricks

  for training, serving, and monitoring AI models at scale.

Required Qualifications & Skills (Mandatory):

• 4+ years of hands-on experience in

  AI/ML development

  , including

  Generative AI applications

  .
• Expertise in

  RAG

  ,

  LLMs

  , and

  Agentic AI

  implementations.
• Strong knowledge of

  LangChain

  ,

  LlamaIndex

  , or similar LLM orchestration frameworks.
• Proficient in

  Python

  and key ML/DL libraries:

  TensorFlow

  ,

  PyTorch

  ,

  Scikit-learn

  .
• Solid foundation in

  Deep Learning

  ,

  Natural Language Processing (NLP)

  , and

  Transformer-based architectures

  .
• Experience in building

  data ingestion, indexing, and retrieval pipelines

  for real-world enterprise scenarios.
• Hands-on experience with

  Azure

  cloud services and

  Databricks

  .
• Proven experience designing

  CI/CD pipelines

  and working with

  MLOps tools

  like MLflow, DVC, or Kubeflow.

Soft Skills:

• Strong problem-solving and critical thinking ability.
• Excellent communication skills, with the ability to explain complex AI concepts to non-technical stakeholders.
• Strong collaboration and teamwork in agile, cross-functional environments.
• Growth mindset with curiosity to explore and learn emerging technologies.

Preferred Qualifications:

• Familiarity with

  vector databases

  : FAISS, Pinecone, Weaviate.
• Experience with

  AutoGPT

  ,

  CrewAI

  , or similar

  agent frameworks

  .
• Exposure to

  Azure OpenAI

  ,

  Cognitive Search

  , or

  Databricks ML

  tools.
• Understanding of

  AI security

  ,

  responsible AI

  , and

  model governance

  .

Key Relationships:

• Internal: Data Scientists, Data Engineers, DevOps Engineers, Product Managers, Solution Architects.
• External: AI/ML platform vendors, cloud service providers (Microsoft Azure), third-party data providers.

How to Apply:

If you meet the above qualifications and are excited about this opportunity, please send your updated resume to nivetha.s@eminds.ai

Best regards,

Nivetha S

Senior Talent Engineer

nivetha.s@eminds.ai