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.