Data Scientist - NLP/LLM

Job Description

We are looking for an experienced Data Scientist / AI Developer with a strong foundation in classical machine learning, deep learning, natural language processing (NLP), and generative AI.

You will be responsible for designing and implementing AI models, including fine-tuning large language models (LLMs), and developing innovative solutions to solve complex problems in a variety of domains.

Key Responsibilities : .

• Develop and implement machine learning models and deep learning algorithms for various use cases.
• Work on NLP projects involving text classification, language modelling, entity recognition, and sentiment analysis.
• Leverage generative AI techniques to create innovative solutions and models for content generation, summarization, and translation tasks.
• Fine-tune large language models (LLMs) to optimize performance for specific tasks or applications.
• Collaborate with cross-functional teams to design AI-driven solutions that address business problems.
• Analyse large-scale datasets, perform data pre-processing, feature engineering, and model evaluation.
• Stay updated with the latest advancements in AI, ML, NLP, and LLMs to continuously improve models and methodologies.
• Present findings and insights to stakeholders in a clear and actionable manner.
• Build and maintain end-to-end machine learning pipelines for scalable deployment.
  
  

Required Skills

• Strong expertise in supervised and unsupervised machine learning techniques.
• Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
• Solid experience in Natural Language Processing (NLP), including tokenization, embeddings, and sequence modelling.
• Hands-on experience with generative AI models and their practical applications.
• Proven ability to fine-tune large language models (LLMs) for specific tasks.
• Strong programming skills in Python and familiarity with libraries like Scikit-learn, NumPy, and pandas.
• Experience in handling large datasets and working with databases (SQL, NoSQL).
• Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization tools (Docker, Kubernetes).
• Deep expertise in computer vision, including techniques for object detection, image segmentation, image classification, and feature extraction.
• Strong problem-solving skills, analytical thinking, and attention to detail.
  
  

Preferred Skills

• Proven experience in fine-tuning LLMs (like llama series, mistral) for specific tasks and optimizing their performance.
• Expertise in computer vision techniques, including object detection, image segmentation, and classification.
• Proficiency with YOLO algorithms and other state-of-the-art computer vision models.
• Hands-on experience in building and deploying models in real-time applications or production environments.
  
  

Qualifications

• 3+ years of relevant experience in AI, ML, NLP, or related fields.
• Bachelors or Masters degree in Computer Science, Statistics, or a related discipline.
  
  

(ref:hirist.tech)