Sr. AI/ML Engineer

Dailoqa Solutions India; Dadri; On-site; INR 2,400,000 - 4,000,000; Full time

Job summary

Dailoqa Solutions India is seeking an experienced MLOps/DevOps engineer to join its early-stage venture in India. You will work on agentic AI development, RAG-based research, and scalable multi-modal LLMs using PyTorch, LangChain, and LangGraph.

The role emphasizes collaboration with data scientists, deployment automation, and governance for models and data. The ideal candidate has 5–8 years in MLOps/DevOps, strong Python, cloud proficiency (AWS/Azure/GCP), and hands-on experience with Docker,

Qualifications

• Bachelor’s degree in computer science, software engineering, or related field.
• 5–8 years of experience in MLOps, DevOps, or related roles.
• Strong programming experience with Python and DL frameworks (PyTorch/JAX/TensorFlow).
• Cloud proficiency (AWS/Azure/GCP) and IaC tooling like Terraform.

Responsibilities

• Agentic AI development for scalable multi-modal LLM-based agents.
• AI research and innovation in RAG, semantic search, knowledge representation.
• Deploy, monitor, and retrain models; optimize ML code with data scientists.
• Collaborate on data pipelines and governance for models and data.
• Build datasets for training and evaluation of ML models.

Skills

Python programming

DL frameworks

MLOps

Cloud platforms

Terraform

LangChain/LlamaIndex

Docker

Postgres/SQLAlchemy

OpenAI tools

Education

Bachelor's degree in CS/Software Eng

Tools

PyTorch

JAX

TensorFlow

FastAPI

Postgres

SQLAlchemy

Alembic

OpenAI

Docker

Azure

Job description

Key Responsibilities:

• 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:

• Bachelors 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