AI/ML Engineer
Dailoqa is seeking an experienced AI/ML Engineer to build innovative agentic AI solutions for the financial services sector. You will lead development tasks ranging from LLM fine-tuning and RAG implementation to managing infrastructure and deployment pipelines. The role requires strong expertise in Python, deep learning frameworks, and cloud-native MLOps practices. You will work closely with founding members to shape product strategy and optimize complex AI models.
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Experience
4-8 years
Function
Engineering
Work mode
Onsite, India
Company
Tier 2
What you will work on
Dailoqa is seeking an experienced AI/ML Engineer to build innovative agentic AI solutions for the financial services sector. You will lead development tasks ranging from LLM fine-tuning and RAG implementation to managing infrastructure and deployment pipelines. The role requires strong expertise in Python, deep learning frameworks, and cloud-native MLOps practices. You will work closely with founding members to shape product strategy and optimize complex AI models.
TAL's take
Solid mid-tier fintech role with clear technical requirements and defined scope, though brand status is unknown.
Very clear JD defining stack, project types (agentic AI, RAG), and expectations for a senior engineer.
Must haves
- 4-8 years experience in MLOps or DevOps
- Strong programming expertise in Python
- Familiarity with deep learning frameworks (PyTorch, JAX, or TensorFlow)
- Experience with AWS, Azure, or GCP
- Infrastructure-as-code experience with Terraform
- Experience with experiment tracking and model versioning tools
Tools and skills
Nice to have: langgraph, microsoft autogen, crewai, huggingface, apache airflow, prefect.
About the company
Unfamiliar company, default mid-tier.