AI/ML Engineer (or Senior Data Scientist/AI Engineer)

Posted on June 24, 2025

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Job Description

  • AI/ML Engineer (or Senior Data Scientist/AI Engineer)
  • Years of Exp: 3-5yrs
  • Job Responsibilities
  • ? Develop, train, optimize, and deploy ML/Deep Learning/Generative AI models.
  • ? Build end-to-end pipelines for model development, training, and deployment.
  • ? Optimize model inference for production usage, ensuring scalability and efficiency.
  • ? Collaborate with stakeholders to define business problems and design AI solutions.
  • ? Write high-quality, maintainable code following best engineering practices.
  • Required Qualifications, Capabilities, And Skills
  • ? Bachelors or Master�s degree in Data Science, ML, or AI.
  • ? 3-5 years of experience working as a Data Scientist or AI/ML Engineer.
  • ? Expertise in NLP, Transformers, Large Language Models (LLMs), and the Hugging Face library.
  • ? Experience optimizing LLM training and inference performance.
  • ? Proficiency in at least one deep learning framework (PyTorch, TensorFlow, Keras).
  • ? Strong programming skills in Python, with experience in ML frameworks such as scikit-learn.
  • ? Experience with deploying ML models in production and working with cloud-based AI solutions (AWS, GCP, Azure).
  • ? Strong understanding of ML operations (MLOps), including CI/CD for ML workflows.
  • ? Ability to document technical solutions and communicate effectively with stakeholders.
  • Note:
  • ? Marked in Bold are must-have skills.

Required Skills

? bachelors or master�s degree in data science ml or ai. ? 3-5 years of experience working as a data scientist or ai/ml engineer. ? expertise in nlp transformers large language models (llms) and the hugging face library. ? experience optimizing llm training and inference performance. ? proficiency in at least one deep learning framework (pytorch tensorflow keras). ? strong programming skills in python with experience in ml frameworks such as scikit-learn.