AI Software Engineer

AI Software Engineer Location: Bangalore Job Type: Full Time Experience Level: Senior About the Role: We are seeking a talented AI Software Engineer to join our team and help develop innovative AI-driven solutions. You will be responsible for designing, implementing, and optimizing AI models, integrating them into software applications, and working closely with data scientists and engineers to build scalable AI-powered products. Key Responsibilities: · Design, develop, and deploy AI and machine learning models for real-world applications. · Work with large datasets to train and fine-tune models, ensuring high accuracy and efficiency. · Build and optimize deep learning architectures using frameworks like TensorFlow, PyTorch, or Scikit-learn. · Develop and maintain AI-driven software applications, integrating models into production environments. · Collaborate with cross-functional teams, including data scientists, software engineers, and product managers. · Optimize AI models for performance, scalability, and deployment on cloud platforms (AWS, Azure, GCP). · Implement MLOps best practices for model versioning, deployment, and monitoring. · Stay up-to-date with the latest AI research, tools, and techniques to continuously improve AI capabilities. Requirements Required Qualifications: · Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, or a related field. · Strong programming skills in Python, Java · Experience with AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or Keras. · Knowledge of NLP, Computer Vision, or Reinforcement Learning is a plus. · Hands-on experience with cloud computing (AWS, GCP, Azure) for AI model deployment. · Familiarity with data structures, algorithms, and software development best practices. · Experience with containerization (Docker, Kubernetes) and APIs for model integration. · Strong problem-solving skills and the ability to work in a fast-paced environment. · Experience with LLMs (Large Language Models), Generative AI, or AI-powered automation. · Understanding of AI ethics, bias mitigation, and responsible AI practices. · Knowledge of big data technologies like Hadoop, Spark, or Kafka. Benefits • Work with cutting-edge technologies and a talented team. • Competitive salary and benefits package. • Flexible work environment with growth opportunities. • Access to professional development and learning resources.