Applied Researcher – LLMs

Requirements:

• Master's degree or PhD in Computer Science, Engineering, Mathematics, or a related field.
• Proven experience in machine learning, with a strong emphasis on NLP and LLMs.
• Proficiency in programming languages such as Python and C++ and frameworks like PyTorch, TensorFlow, or similar.
• Solid understanding of machine learning algorithms, model architecture, training techniques, and building performant inference pipelines.
• Experience with data preprocessing, feature engineering, model evaluation metrics, and large-scale data processing framework like SPARK.
• Excellent analytical and problem-solving skills.
• Strong communication and collaboration skills.

What you'll be doing:

• Design, develop, and deploy advanced machine learning algorithms, with a focus on NLP/LLM.
• Work closely with cross-functional teams to integrate machine learning solutions into our products and platforms.
• Conduct research on the latest technologies and methodologies in NLP and LLMs.
• Collaborate with data engineers and scientists to preprocess, clean, and structure large datasets for model training and evaluation.
• Implement best practices in model development, validation, testing, and deployment.
• Stay abreast of industry trends and advancements in AI, machine learning, and NLP.

Perks and Benefits:

• An opportunity to work on cutting-edge research in NLP and deep learning.
• A collaborative and supportive work environment where innovation and creativity are encouraged.
• Access to state-of-the-art resources and tools to support your research and development work.
• A culture that values diversity, inclusion, and professional growth.
• Competitive compensation and benefits package.