Job Description

Job Title: AI Engineer (Fresher)

Location: On-site (India)

Experience Level: 0-1 years

Employment Type: Full-time, On-site

About Us:

We are a technology-driven organization specializing in AI integration, rendering workflows, high-performance compute environments, and advanced solutions for architectural, 3D, and AEC firms. We help enterprises adopt and operationalize AI tools within real production ecosystems. To support our expanding operations, we are hiring an on-site AI Engineer who is ready to learn, contribute, and grow in a fast-paced environment.

Role Overview:

The AI Engineer (Fresher) will work on-site with our engineering and solutions teams to assist in building, integrating, and optimizing AI models and automation pipelines. The role involves hands-on work with data preparation, model deployment, workflow scripting, and collaboration with infrastructure teams to ensure high-performance and secure AI operations.

Key Responsibilities:

Support the development, training, and evaluation of machine learning and deep learning models. Assist in integrating AI models into our internal tools, client workflows, and on-premise environment. Work with senior engineers to deploy AI solutions on local servers, workstations, and GPU systems. Participate in data preprocessing, feature engineering, and model performance tuning. Write and maintain Python scripts, utilities, and automation tools. Research and test emerging AI tools and frameworks relevant to rendering, AEC, and enterprise use cases. Document implementation steps, model results, deployment instructions, and workflow improvements. Collaborate on-site with internal teams for rapid iteration and hands-on troubleshooting.
Required Skills & Qualifications:

Bachelor's degree in Computer Science, Engineering, Mathematics, or related discipline. Understanding of machine learning principles, algorithms, and workflows. Basic working familiarity with PyTorch, TensorFlow, or Keras. Strong Python programming skills and experience with ML libraries (NumPy, Pandas, Scikit-learn). Good understanding of data structures, model evaluation metrics, and training pipelines. Willingness to work on-site daily and collaborate in a hands-on engineering environment. Strong communication, curiosity, and problem-solving abilities.
Preferred (Good to Have):

Experience with LLMs, vector databases, RAG pipelines, or prompt engineering. Exposure to computer vision or NLP projects. Familiarity with Git, Linux environments, and GPU-based training workflows. Understanding of on-premise AI deployment, workstation optimization, or HPC systems. Participation in AI/ML research projects, hackathons, or Kaggle competitions.
What We Offer:

Hands-on exposure to advanced AI and high-performance computing infrastructure. Mentorship from senior engineers and domain experts. Clear learning paths and accelerated career growth opportunities. Real-world AI implementation experience across AEC, 3D, rendering, and enterprise verticals. Competitive compensation and structured professional development.
Job Type: Full-time

Pay: ₹20,000.00 - ₹25,000.00 per month

Benefits:

Flexible schedule
Work Location: In person