AI Software Engineer

Aptus Data LAbs

Karnataka

Company Social Links


Apply for this job

Submit Application

About Aptus Data LAbs

Job Description

As an AI Software Engineer based in Bangalore, you will play a crucial role in developing innovative AI-driven solutions. Your responsibilities will include designing, implementing, and optimizing AI models, integrating them into software applications, and collaborating 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. - Utilize 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 updated with the latest AI research, tools, and techniques to enhance AI capabilities. Required Qualifications: - Bachelors or Masters degree in Computer Science, AI, Machine Learning, or related field. - Strong programming skills in Python and 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 ability to thrive in a fast-paced environment. - Experience with LLMs, 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. - Enjoy a flexible work environment with growth opportunities. - Access to professional development and learning resources.,