
AI Model Developer
2 days ago
We are seeking a skilled and innovative Machine Learning Engineer to design, develop, and deploy scalable machine learning models that solve complex business problems. You will work closely with data scientists, software engineers, and product teams to transform data-driven insights into production-ready solutions.
Key Responsibilities- Model Development & Deployment: Design, build, train, and fine-tune machine learning models.
- Data Processing & Feature Engineering: Clean, preprocess, and transform structured and unstructured data. Implement feature selection, extraction, and dimensionality reduction techniques.
- Algorithm Optimization: Evaluate model performance using appropriate metrics and improve accuracy, efficiency, and scalability.
- Integration & Automation: Collaborate with engineering teams to integrate AI models into applications and services. Automate pipelines for model retraining and deployment.
- Research & Innovation: Stay updated with the latest advancements in AI/ML, NLP, and computer vision. Experiment with new algorithms, architectures, and frameworks.
- Education: Bachelor's or Master's in Computer Science, Data Science, AI, or related field.
- Technical Skills: Strong programming skills in Python (NumPy, Pandas, Scikit-learn). Proficiency in deep learning frameworks (TensorFlow, PyTorch, Keras).
- Soft Skills: Strong problem-solving and analytical skills. Effective communication for cross-functional collaboration. Ability to work independently and in agile teams.
- Experience with transformer architectures (e.g., BERT, GPT, LLaMA). Familiarity with LangChain, Vector Databases, and Generative AI. Exposure to reinforcement learning and time series forecasting.
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