Posted on: 27/11/2025
Description :
Responsibilities :
- Design, develop, and implement AI models and algorithms to solve real-world problems.
- Collaborate with cross-functional teams to understand business requirements and translate
them into technical solutions.
- Conduct data analysis and preprocessing to ensure high-quality input for AI models.
- Train, test, and validate AI models to ensure accuracy and performance.
- Deploy AI models into production environments and monitor their performance.
- Continuously improve AI models by incorporating new data and feedback.
- Stay up-to-date with the latest advancements in AI and machine learning technologies.
- Document AI models, processes, and results for knowledge sharing and future reference.
- Participate in code reviews and provide constructive feedback to peers.
Requirements :
- Strong understanding of machine learning algorithms, deep learning frameworks, and
statistical methods.
- Experience with LLMs (GPT-4, Llama-2)
- Experience with NLP and RAG(Retrieval-Augmented Generation)
- Proficiency in programming languages such as Python, R, or Java.
- Experience with machine learning libraries and frameworks such as TensorFlow, Keras,
PyTorch, or Scikit-learn.
- Familiarity with data preprocessing, feature engineering, and data visualization techniques.
- Familiarity with vector databases such as Pinecone and ChromaDB
- Knowledge of cloud platforms such as AWS, Google Cloud, or Azure.
- Experience with version control systems like Git.
- Strong problem-solving skills and attention to detail.
- Excellent communication and collaboration skills
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