Job Description

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