Llm Programmer - Mohali, Punjab, India - Antier Solutions

Antier Solutions

Verified Company

Mohali, Punjab, India

2 weeks ago

Posted by:

Deepika Kaur

beBee Recuiter

HR54

FULL-TIME

MOHALI
2-4 YEARS

Key Responsibilities:

Research, develop, and finetune 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 crossfunctional 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 realworld 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.
24 years of experience in machine learning, deep learning, and natural language processing.
Proficiency in programming languages such as Python, TensorFlow, PyTorch, or similar.
Handson 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 problemsolving 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 fastpaced, 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 finetuning, transfer learning, and domain adaptation techniques.
Contributions to opensource projects or participation in NLPrelated competitions/hackathons.
Advanced degree in Computer Science, Engineering or related field

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