Sr. AI/ML Engineer

Dailoqa; Dadri; On-site; INR 2,000,000 - 4,000,000; Full time

Job summary

Dailoqa is hiring for an experienced MLOps/AI engineer to work on scalable LLM-based AI agents and RAG systems in a fast-paced startup environment.

You will deploy models, optimize ML pipelines, and collaborate with data scientists to deliver customer-focused AI solutions using Python, PyTorch, LangChain, and cloud platforms.

Qualifications

• Bachelor's degree in CS, Software Eng or related field.
• 5–8 years of experience in MLOps, DevOps, or related roles.
• Strong programming experience with Python-based DL frameworks (PyTorch, JAX, TensorFlow).
• Familiar with ML concepts and cloud platforms (AWS, Azure, GCP) and IaC tools like Terraform.

Responsibilities

• Develop scalable multi-modal LL model-based AI agents and RAG workflows.
• Research NLP solutions and apply ML to real-world problems.
• Deploy, monitor, and retrain models in production.
• Collaborate with data scientists to review and optimize ML code.

Skills

MLOps

Python

DevOps

NLP

Education

Bachelor's degree in Computer Science or related field

Tools

PyTorch

LangChain

LlamaIndex

FastAPI

Docker

Terraform

Azure

Postgres

SQLAlchemy

Alembic

Job description

• Agentic AI Development: Work on building scalable multi-modal Large Language Model (LLM) based AI agents, leveraging frameworks such as LangGraph, Microsoft Autogen, or Crewai.
  
• AI Research and Innovation: Research and build innovative solutions to relevant AI problems, including Retrieval-Augmented Generation (RAG), semantic search, knowledge representation, tool usage, fine-tuning, and reasoning in LLMs.
  
• Technical Expertise: Proficiency in a technology stack that includes Python, LlamaIndex / LangChain, PyTorch, HuggingFace, FastAPI, Postgres, SQLAlchemy, Alembic, OpenAI, Docker, Azure, Typescript, and React.
  
• LLM and NLP Experience: Hands-on experience working with LLMs, RAG architectures, Natural Language Processing (NLP), or applying Machine Learning to solve real-world problems.
  
• Dataset Development: Strong track record of building datasets for training and/or evaluating machine learning models.
  
• Customer Focus: Enjoy diving deep into the domain, understanding the problem, and focusing on delivering value to the customer.
  
• Adaptability: Thrive in a fast-paced environment and are excited about joining an early-stage venture.
  
• Model Deployment and Management: Automate model deployment, monitoring, and retraining processes.
  
• Collaboration and Optimization: Collaborate with data scientists to review, refactor, and optimize machine learning code.
  
• Version Control and Governance: Implement version control and governance for models and data.
  

Required Qualifications:

• Bachelor's degree in computer science, Software Engineering, or a related field
  
• 5-8 years of experience in MLOps, DevOps, or related roles
  
• Have strong programming experience and familiarity with Python based deep learning frameworks like Pytorch, JAX, Tensorflow
  
• Have strong familiarity and knowledge of machine learning concepts
  
• Proficiency in cloud platforms (AWS, Azure, or GCP) and infrastructure-as-code tools like Terraform
  

Desired Skills:

• Experience with experiment tracking and model versioning tools.
  
• You have experience with technology stack: Python, LlamaIndex / LangChain, PyTorch, HuggingFace, FastAPI, Postgres, SQL Alchemy, Alembic, OpenAI, Docker, Azure, Typescript, React.
  
• Knowledge of data pipeline orchestration tools like Apache Airflow or Prefect
  
• Familiarity with software testing and test automation practices
  
• Understanding of ethical considerations in machine learning deployments
  
• Strong problem-solving skills and ability to work in a fast-paced environment