AI Engineer

C3iHub, IIT Kanpur; Kanpur; On-site; INR 900,000 - 1,400,000; Full time

Job summary

C3iHub, IIT Kanpur is seeking an AI Engineer with 2+ years of experience to develop, deploy, and research AI/ML solutions for real-world applications in Kanpur.

You will design and deploy end-to-end AI pipelines, evaluate models, and read research papers to inspire new approaches. The role involves collaboration with multiple teams to deliver production-ready AI services using Python and modern ML frameworks.

Qualifications

• 2+ years of relevant professional experience in AI/ML or a related domain.
• Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, Electronics, or a related field.
• Demonstrated experience with at least one end-to-end AI/ML project.
• Research publications, patents, open-source contributions, or significant AI/ML projects are a plus.

Responsibilities

• Design, develop, train, evaluate, and deploy AI/ML models and solutions.
• Build end-to-end AI pipelines from data preparation and experimentation to deployment and monitoring.
• Research and evaluate new AI/ML models, algorithms, architectures, and emerging technologies.
• Read and implement ideas from research papers and technical publications.
• Develop PoCs and prototypes to validate new AI/ML approaches.
• Benchmark models and approaches and optimize for accuracy, performance, scalability, and efficiency.
• Develop production-ready AI services and APIs using Python and relevant frameworks.
• Collaborate with engineering and domain teams to integrate AI solutions into products and platforms.
• Contribute to technical reports, research publications, patents, and internal R&D initiatives

Skills

Python

ML/Deep Learning

PyTorch/TensorFlow

AI/ML models

Model evaluation

Gen AI / LLMs

Git / Linux / Docker

REST APIs

Education

2+ years AI/ML experience

Bachelor's or Master's in CS/AI/DS

Tools

TensorFlow

PyTorch

scikit-learn

Docker

REST APIs

Cloud/GPU environments

Job description

About the Role

We are looking for an AI Engineer with 2+ years of experience to develop, deploy, and research AI/ML solutions for real-world applications. The role involves a combination of AI engineering, experimentation, applied research, and technology development.

Experience:

2+ Years

Employment Type:

Full-time

Location:

Kanpur

Key Responsibilities

• Design, develop, train, evaluate, and deploy AI/ML models and solutions.
• Build end-to-end AI pipelines from data preparation and experimentation to deployment and monitoring.
• Research and evaluate new AI/ML models, algorithms, architectures, and emerging technologies.
• Read and implement ideas from research papers and technical publications.
• Develop PoCs and prototypes to validate new AI/ML approaches.
• Benchmark models and approaches and optimize for accuracy, performance, scalability, and efficiency.
• Develop production-ready AI services and APIs using Python and relevant frameworks.
• Collaborate with engineering and domain teams to integrate AI solutions into products and platforms.
• Contribute to technical reports, research publications, patents, and internal R&D initiatives, where applicable.

Required Skills

• Strong proficiency in Python and good software engineering fundamentals.
• Strong understanding of Machine Learning and Deep Learning concepts.
• Hands‑on experience with PyTorch, TensorFlow, scikit-learn, or equivalent frameworks.
• Experience in developing and deploying AI/ML models.
• Understanding of model evaluation, experimentation, and optimization.
• Familiarity with Generative AI, LLMs, Transformers, RAG, embeddings, or AI agents is desirable.
• Familiarity with Git, Linux, Docker, REST APIs, and cloud/GPU environments is preferred.
• Ability to read, understand, and implement research papers.
• Strong analytical, problem-solving, and research skills.

Qualifications

• Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, Electronics, or a related field.
• 2+ years of relevant professional experience in AI/ML or a related domain.
• Demonstrated experience with at least one end‑to‑end AI/ML project.
• Research publications, patents, open-source contributions, or significant AI/ML projects are a plus.