Llm Programmer

HR54

FULL-TIME

MOHALI

2-4 YEARS

**Key Responsibilities**:

- Research, develop, and fine-tune large language models (e.g., GPT, BERT, T5) to solve complex NLP tasks, such as text generation, sentiment analysis, question answering, and more.
- Experiment with different model architectures, hyper parameters, and training techniques to optimize model performance and efficiency.
- Collaborate with cross-functional teams to understand business requirements and translate them into actionable solutions using LLMs.
- Preprocess and curate large datasets for training and evaluation, ensuring data quality, integrity, and relevance to the task at hand.
- Train, validate, and evaluate LLMs on benchmark datasets and real-world data, using appropriate metrics and evaluation techniques.- Monitor and analyze model performance and behavior in production, identifying and addressing any issues or anomalies as they arise.
- Stay updated on the latest advancements in NLP and LLM research, and incorporate new techniques and technologies into our models and workflows.
- Mentor junior team members, share best practices, and contribute to the overall knowledge sharing and learning culture within the organization.

**Requirements**:

- Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related field.
- 2-4 years of experience in machine learning, deep learning, and natural language processing.
- Proficiency in programming languages such as Python, TensorFlow, PyTorch, or similar.
- Hands-on experience with large language models, such as GPT, BERT, T5, etc., and their associated libraries and frameworks.
- Strong understanding of machine learning concepts, algorithms, and methodologies, particularly in the context of NLP.
- Experience with data preprocessing, feature engineering, and model evaluation techniques.
- Familiarity with cloud platforms and distributed computing environments (e.g., AWS, Azure, Google Cloud).
- Excellent problem-solving skills, analytical thinking, and attention to detail.
- Strong communication and collaboration skills, with the ability to work effectively in a team environment.
- Ability to manage multiple projects and priorities in a fast-paced, dynamic environment.
- Passion for learning and staying updated with emerging trends and technologies in machine learning and NLP.

**Preferred Qualifications**:

- Experience deploying and maintaining large language models in production environments.
- Knowledge of transformer architectures and attention mechanisms.
- Experience with model fine-tuning, transfer learning, and domain adaptation techniques.
- Contributions to open-source projects or participation in NLP-related competitions/hackathons.
- Advanced degree in Computer Science, Engineering or related field