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Dailoqa
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Dadri · On-site · 5-8 Yrs · Oct 5
1 open role0 posted in 7d1 in 30d
Hiring: Engineering
Job description
Overview
Key Responsibilities:
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.
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
- 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
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Job application FAQ
Last updated 7 October 2026
- How do I apply for Sr. AI/ML Engineer at Dailoqa?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Dailoqa may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Sr. AI/ML Engineer role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Sr. AI/ML Engineer remote or on-site in Dadri, Uttar Pradesh?
- This listing is marked on_site with location Dadri, Uttar Pradesh. Confirm details on the job description before applying.
- What skills matter for this Sr. AI/ML Engineer role at Dailoqa?
- This is a senior Sr. AI/ML Engineer role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.