Atlys New recruitment Drive for Machine Learning Intern | freshers must Apply Internship NEW

Responsibilities:

• Train and finetune models for image quality detection and enhancement tasks
• Run structured experiments – compare different architectures, track what works and document why
• Prepare and validate labeled datasets for structured field extraction (names, dates, numbers and more)
• Write scripts to automate repetitive data processing tasks so you’re not doing the same thing twice
• ⁠Document your training procedures and results clearly

Ideal Candidate:

• Good Python skills – you can write clean, working scripts without hand-holding
• Familiarity with PyTorch and/or TensorFlow – you’ve trained models before, whether for coursework, competitions, or personal projects
• Understanding of computer vision fundamentals – image processing, augmentation and common architectures (YOLO, U-Net, ResNet, etc.)
• ⁠Attention to detail – data work can be tedious and mistakes propagate fast, you need to care about getting it right
• ⁠Familiarity with Hugging Face Transformers and model hubs
• Curiosity about the LLM/VLM space and willingness to learn finetuning techniques (LoRA, QLoRA, etc.)

Desired Skills:

• Strong analytical and problem-solving skills
• Team-player with the ability to work effectively and efficiently with other
• Be a self-starter and possess strong sense of self-motivation
• Experience using telemetry and metrics to drive operational excellence

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