AI & ML Model Development

AI & ML Model Development:

      •     Execute PoCs and MVPs for AI and ML projects, focusing on practical implementation.

      •     Develop and refine ML models, including supervised and unsupervised learning algorithms.

      •     Build and deploy GenAI solutions, such as Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) systems, and chatbots.

      •     Collaborate with AI Engineers to integrate models into enterprise applications.

Data Handling & Preprocessing:

      •     Collect, clean, and preprocess data to ensure quality inputs for model training.

      •     Conduct exploratory data analysis (EDA) to uncover insights and inform model development.

      •     Work with Data Engineers to ensure smooth data pipelines and infrastructure.

Model Evaluation & Optimization:

      •     Evaluate model performance using appropriate metrics and fine-tune algorithms for optimal results.

Technical Skills:

      •     Proficient in Python and SQL for data manipulation and model development.

      •     Familiarity with ML frameworks and libraries such as scikit-learn, TensorFlow, or PyTorch.

      •     Experience with data visualization tools (e.g., Matplotlib, Seaborn) and EDA techniques.

      •     Basic understanding of MLOps tools like MLflow, Airflow, or similar is an advantage.

      •     Exposure to cloud platforms (Azure, AWS, GCP) for AI/ML model deployment is a plus.

SKILLS

• Gen AI
• Lang chain
• Llama
• Working experience with Text, Multi Model, and images