The Role
Supports AI initiatives through research, framework evaluation, dataset preparation, model training experiments, hyperparameter tuning, and evaluation. Documents technical risks and feasibility findings while contributing to responsible AI practices, knowledge sharing, and collaborative development using Python, PyTorch or TensorFlow, Git, Jupyter, and Linux.
Summary Generated by Built In
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 strong 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,
• 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 science, Engineering, or a related field
Required Years and Area of Professional Experience : 0–1 years of professional experience (on technologies)
Critical Professional Related Technical/Computer Skills :
· Ability to research and evaluate AI tools and frameworks for feasibility and applicability
· Skills in experimenting with models, running training loops, and analyzing results
· Ability to document technical findings, risks, and recommendations
Capacity to stay updated with AI trends and contribute to team knowledge sharing
Ethics & Compliance : This position requires full commitment to fostering the highest standards while promoting an ethical and compliant culture. Integrity, honesty, respectful treatment of others, and willingness to speak up when misconduct or concerning behaviours are evident are essential.
Required Years and Area of Professional Experience : 0–1 years of professional experience (on technologies)
Critical Professional Related Technical/Computer Skills :
- Internship or
academic project involving AI/ML, NLP, or LLMs
- Exposure
to open-source AI libraries like Hugging Face Transformers
- Professional competencies :
Python, PyTorch or TensorFlow, LLMs, AI model training workflows, Git, Jupyter Notebooks, and Linux CLI - Knowledge, Skills & Abilities
· Ability to research and evaluate AI tools and frameworks for feasibility and applicability
· Skills in experimenting with models, running training loops, and analyzing results
· Ability to document technical findings, risks, and recommendations
Capacity to stay updated with AI trends and contribute to team knowledge sharing
Ethics & Compliance : This position requires full commitment to fostering the highest standards while promoting an ethical and compliant culture. Integrity, honesty, respectful treatment of others, and willingness to speak up when misconduct or concerning behaviours are evident are essential.
Skills Required
- Bachelor's degree in computer science, engineering, or a related field
- 0-1 years of professional experience with relevant technologies
- Internship or academic project involving AI/ML, NLP, or LLMs
- Exposure to open-source AI libraries such as Hugging Face Transformers
- Professional competency in Python, PyTorch or TensorFlow, LLMs, AI model training workflows, Git, Jupyter Notebooks, and Linux CLI
- Knowledge of supervised and unsupervised learning, neural networks, and NLP
- Ability to research and evaluate AI tools and frameworks for feasibility and applicability
- Ability to experiment with models, run training loops, and analyze results
- Ability to document technical findings, risks, and recommendations
- Capacity to stay updated with AI trends and contribute to team knowledge sharing
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The Company
What We Do
SKO Systems is a global software technology provider founded in 2007. It develops innovative software products, IT applications, and tailored solutions for hospitality, travel, logistics, and security. Its work includes custom software development, systems integration, project management, and ongoing support, helping organizations simplify operations, modernize processes, and improve customer and guest experiences across multiple industries with long-term value.
