Senior AI Developer

Role Overview: You will be responsible for the implementation and validation of AI-powered solutions using Python, REST APIs, and in-house developed AI frameworks. Your role will involve contributing to the development of AI pipelines, collaborating across domains to integrate AI/LLM capabilities, and optimizing agent behavior for safety, efficiency, and explainability. Key Responsibilities: - Implement and validate AI-powered solutions with modular, reusable components - Contribute to the development of AI pipelines for data ingestion, model deployment, and monitoring - Collaborate across domains to integrate AI/LLM capabilities for various use cases - Optimize agent behavior for safety, efficiency, and explainability Qualifications: - Any Bachelors or Masters degree - 3-4 years of hands-on experience in AI model development, deployment, and optimization - Strong command of Python and libraries - Deep understanding of machine learning algorithms, model training workflows, and deep learning architectures (CNN, RNN, Transformers) - Experience with data wrangling, preprocessing, and feature engineering - Skilled in developing and integrating models via APIs (Flask, FastAPI) and containerization using Docker - Proficiency in model evaluation metrics, hyperparameter tuning, and performance analysis - Experience with Git and collaborative code development workflows - Strong analytical mindset and ability to troubleshoot complex model behaviors Additional Information: The company prefers candidates with experience working with Large Language Models (LLMs), Generative AI, or prompt engineering. Familiarity with cloud AI platforms, knowledge of MLOps practices (CI/CD for ML, model monitoring, and retraining pipelines), exposure to computer vision, or NLP-based AI systems would be advantageous. Role Overview: You will be responsible for the implementation and validation of AI-powered solutions using Python, REST APIs, and in-house developed AI frameworks. Your role will involve contributing to the development of AI pipelines, collaborating across domains to integrate AI/LLM capabilities, and optimizing agent behavior for safety, efficiency, and explainability. Key Responsibilities: - Implement and validate AI-powered solutions with modular, reusable components - Contribute to the development of AI pipelines for data ingestion, model deployment, and monitoring - Collaborate across domains to integrate AI/LLM capabilities for various use cases - Optimize agent behavior for safety, efficiency, and explainability Qualifications: - Any Bachelors or Masters degree - 3-4 years of hands-on experience in AI model development, deployment, and optimization - Strong command of Python and libraries - Deep understanding of machine learning algorithms, model training workflows, and deep learning architectures (CNN, RNN, Transformers) - Experience with data wrangling, preprocessing, and feature engineering - Skilled in developing and integrating models via APIs (Flask, FastAPI) and containerization using Docker - Proficiency in model evaluation metrics, hyperparameter tuning, and performance analysis - Experience with Git and collaborative code development workflows - Strong analytical mindset and ability to troubleshoot complex model behaviors Additional Information: The company prefers candidates with experience working with Large Language Models (LLMs), Generative AI, or prompt engineering. Familiarity with cloud AI platforms, knowledge of MLOps practices (CI/CD for ML, model monitoring, and retraining pipelines), exposure to computer vision, or NLP-based AI systems would be advantageous.