Machine Learning Intern

Description:

We are leaders in digital banking products which are built to high standards for Pakistan and international markets. Learn and grow with industry leading professionals, motivated teams, and local and international clients.

Other reasons why you’ll want to join:

• We’re a mix of experienced and young team members who are talented, dynamic and creative

• Exposure to most recent frameworks and technologies

• Excellent work atmosphere

• Products we build are enterprise level and made for large clients

• Competitive HR and benefits

Key Responsibilities:

• Collaborate with the R&D team to design, implement, and optimize Deep Learning models for Computer Vision tasks, such as object detection, image classification, segmentation, and facial recognition.

• Assist in the development and fine-tuning of Large Language Models (LLMs) for tasks including text generation, natural language understanding, summarization, and language translation.

• Conduct comprehensive literature reviews of the latest research papers in Deep Learning, Computer Vision, and LLMs, identifying new methods and emerging trends.

• Analyze and critique research papers, proposing how new techniques could be applied or adapted to ongoing projects.

• Work on implementing novel algorithms and architectures from recent research papers to test their applicability and performance on real-world datasets.

• Experiment with model architectures, hyperparameter tuning, and novel loss functions to enhance model performance and scalability.

• Participate in data collection, preprocessing, and augmentation processes to support training and evaluation of models.

• Document experimental results, including challenges faced and lessons learned, and contribute to internal technical reports and presentations.

• Stay current with state-of-the-art advancements and actively suggest ideas for future research directions.

Required Qualifications:

• Currently pursuing or recently completed a degree in Computer Science, Data Science, Electrical Engineering, Mathematics, or a related field.

• Strong understanding of Deep Learning concepts and familiarity with neural network architectures, particularly in Computer Vision and LLMs.

• Proficiency in Python and experience with ML libraries and frameworks such as TensorFlow, PyTorch, or Keras.

• Familiarity with LLM architectures like transformers, GPT, BERT, and their applications in NLP tasks.

• Knowledge of Computer Vision libraries such as OpenCV, Scikit-image, or PIL.

• Ability to read, understand, and critique academic research papers and apply findings to practical projects.

• Strong analytical and problem-solving skills, with a passion for research and innovation.

• Good communication skills for documenting research findings and collaborating with team members.