As a Trainee AI Engineer at
SKO Systems, you will involve supporting the strategic and technical
implementation of AI initiatives. The position blends research, experimentation.
and operational execution across AI technologies, with a robust emphasis on LLM
frameworks and responsible AI practices.

Essential Functions / Deliverables

Understand
and Execute AI Directions from Leadership

• Attend and document AI-related
meetings and initiative briefings.

• Follow technical instructions and
break down objectives into research or coding tasks.

• Seek clarification proactively to
ensure alignment with expectations.

Research AI
Technologies & Frameworks (LLMs, PyTorch, etc.)

• Study and summarize capabilities of
Large Language Models (LLMs) like GPT, BERT, LLaMA, etc.

• Explore open-source AI frameworks
such as PyTorch, TensorFlow, and Hugging Face Transformers.

• Compare tools based on use-case fit,
performance, and ease of integration.

Support in
AI Model Training & Experimentation

• Assist in preparing/collecting
datasets, preprocessing (cleaning/transforming raw datasets)



and setting up
training pipelines using Python and PyTorch.

• Run basic training experiments and
log results for analysis.

• Help with hyperparameter tuning and
model evaluation under guidance.

• Utilize version control systems like
Git to manage code changes collaboratively.

Contribute
to Risk & Feasibility Assessments

• Document technical challenges,
limitations, and potential risks in AI implementation.

• Research alternatives or workarounds
for identified issues.

• Maintain a risk log and update it
based on findings and feedback.

Continuous
Learning & Knowledge Sharing

• Complete internal or external AI
training modules (e.g., Coursera, Fast.ai, Hugging Face courses).
• Stay updated with latest AI research
papers, GitHub projects, and tech blogs,
Share
learnings with the team through short presentations or documentation

Requirements
Education: Bachelor’s degree in
computer scie

📌 AI Engineer (Pune)
🏢 SKO Systems India
📍 Pune