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,
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 Skilled 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
· Knowledge of AI
fundamentals, including supervised/unsupervised learning, neural networks, and
NLP
· 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.
📌 AI Engineer (Pune)
🏢 Important Group
📍 Pune
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