AI Model Developer

1 day ago

Mohali, Punjab, India beBeeMachineLearning Full time ₹ 20,00,000 - ₹ 30,00,000
AI/ML Engineer Opportunity

We seek a highly skilled and experienced AI/ML engineer to contribute to our growing AI team.

Key Responsibilities:
  • Design, build, and deploy advanced machine learning models for applications like forecasting, anomaly detection, clustering, trend analysis, and pattern recognition.
  • Develop and optimize generative AI solutions using models such as GPT-3.5/4/5, LLaMA 2, Falcon, Gemini, and apply prompt engineering best practices.
  • Create and maintain basic Retrieval-Augmented Generation pipelines.
  • Process and analyze both structured and unstructured data from diverse sources.
  • Implement, test, and deploy machine learning models using FastAPI, Flask, Docker, and similar frameworks.
  • Conduct data preprocessing, feature engineering, and statistical analysis to prepare datasets for modeling.
  • Collaborate with cross-functional teams to integrate models into production systems hosted on AWS (EC2, S3, ECR).
  • Evaluate model performance using standard metrics and iterate on improvements.
Required Skills and Qualifications:
  • 4+ years of hands-on experience in AI/ML and Data Science with a strong grasp of open-source ML/DL tools.
  • Proficient in Python and data science libraries such as NumPy, SciPy, Scikit-learn, Matplotlib, and CUDA for GPU computing.
  • Strong experience in at least one of the following: Time Series Analysis, Standard Machine Learning Algorithms, Deep Learning Architectures, GenAI models, and prompt engineering techniques.
  • Working knowledge of cloud platforms, preferably AWS.
  • Familiarity with containerization and model deployment (Docker, FastAPI, Flask).
  • Solid understanding of statistics, model validation techniques, and evaluation metrics.
Preferred Expertise:
  • Proficiency with object detection frameworks such as YOLO, Detectron, TFOD, ideally in a distributed computing environment.
  • Deep knowledge of deep learning architectures like CNN, RNN, Transformers (LSTM, ResNet, etc.).
  • Experience with NLP models and frameworks, including BERT, ELMo, GPT-2, XLNet, T5, CRFs, and ONNX.
Additional Qualities:
  • Strong analytical and problem-solving skills.
  • Ability to communicate technical concepts effectively.
  • Proactive decision-making and a strong sense of ownership.

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