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Senior AI / ML Developer - LLM / NLP

Senior AI / ML Developer - LLM / NLP

TagLynk Careers Pvt LtdBangalore
12 days ago
Job description

Responsibilities :

  • Design, develop, and implement machine learning models and algorithms.
  • Create new models from scratch based on business requirements and data.
  • Train, fine-tune, and evaluate machine learning models to ensure optimal performance.
  • Deploy machine learning models into production environments.
  • Measure and analyze the performance of machine learning models using metrics such as accuracy, precision, recall, F1 score, and ROC-AUC etc, and iteratively optimize models to meet business objectives.
  • Conduct performance benchmarking and testing for deployed models, ensuring reliability and scalability in production environments.
  • Collaborate with cross-functional teams to understand business needs and provide AI / ML solutions.
  • Optimize and improve the performance of existing models.
  • Conduct research to identify new methodologies for applying AI / ML within the organization.
  • Mentor junior engineers and provide technical guidance.
  • Stay updated with the latest advancements in AI / ML technologies and methodologies

Requirements :

  • Machine Learning : Strong understanding of supervised, unsupervised, and reinforcement learning techniques.
  • Model Development : Experience in developing machine learning models from scratch, including data preprocessing, feature engineering, and model selection.
  • Deep Learning : Proficiency with deep learning frameworks such as Tensorflow, PyTorch, or Keras.
  • Natural Language Processing and generation : Experience with NLP techniques and tools, including large language models (LLMs) like GPT, BERT, Llama, etc.
  • Programming : Proficiency in Python and familiarity with other languages such as Java or C++ is a plus.
  • Tools and Libraries : Experience with ML libraries and tools such as Scikit-learn, Pandas, NumPy, and SciPy.
  • Cloud Platforms : Experience with cloud-based ML platforms such as AWS SageMaker, Google Cloud AI, or Azure ML.
  • MLOps : Knowledge of MLOps practices for model versioning, monitoring, and continuous integration / continuous
  • deployment (CI / CD).

  • Visualization : Proficiency with data visualization tools such as Matplotlib, Seaborn, or Tableau.
  • Hugging Face : Familiarity with Hugging Face's ecosystem, including the Transformers library for pre-trained models, the datasets library for handling and processing datasets, and the Model Hub for sharing and discovering models.
  • Prefers folks from Tier 1 colleges.
  • (ref : hirist.tech)

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