AI Engineer

Job Description: As a Python Developer with strong experience in Gen AI workloads, your role will involve designing, developing, and optimizing Python-based AI/ML applications. You will have practical exposure to Generative AI models such as LLMs, transformers, and diffusion models. Your responsibilities will include building, fine-tuning, and deploying Generative AI solutions using modern frameworks. Additionally, you will integrate AI models with cloud platforms like GCP, AWS, or Azure and develop scalable APIs and microservices supporting AI workloads. Collaboration with data scientists, ML engineers, and product teams to deliver end-to-end solutions will be a key aspect of your role. You should also be familiar with MLOps pipelines, model deployment, and monitoring, ensuring compliance with data privacy and responsible AI guidelines. Key Responsibilities: - Design, develop, and optimize Python-based AI/ML applications - Build, fine-tune, and deploy Generative AI solutions using modern frameworks - Integrate AI models with cloud platforms and managed AI services - Develop scalable APIs and microservices supporting AI workloads - Collaborate with data scientists, ML engineers, and product teams to deliver end-to-end solutions - Implement CI/CD pipelines ensuring code quality, testing, and security - Monitor and optimize performance, reliability, and cost of cloud AI deployments - Ensure compliance with data privacy, security, and responsible AI guidelines Qualification Required: - Strong hands-on experience in Python development for Gen AI workloads - Practical exposure to Generative AI models (LLMs, transformers, diffusion models) - Experience working with cloud native AI services on GCP/AWS/Azure - Understanding of privacy-preserving ML techniques and responsible AI practices - Familiarity with MLOps pipelines, model deployment, and monitoring - Ability to design scalable, production-ready AI solutions The additional details of the company were not included in the provided job description. Job Description: As a Python Developer with strong experience in Gen AI workloads, your role will involve designing, developing, and optimizing Python-based AI/ML applications. You will have practical exposure to Generative AI models such as LLMs, transformers, and diffusion models. Your responsibilities will include building, fine-tuning, and deploying Generative AI solutions using modern frameworks. Additionally, you will integrate AI models with cloud platforms like GCP, AWS, or Azure and develop scalable APIs and microservices supporting AI workloads. Collaboration with data scientists, ML engineers, and product teams to deliver end-to-end solutions will be a key aspect of your role. You should also be familiar with MLOps pipelines, model deployment, and monitoring, ensuring compliance with data privacy and responsible AI guidelines. Key Responsibilities: - Design, develop, and optimize Python-based AI/ML applications - Build, fine-tune, and deploy Generative AI solutions using modern frameworks - Integrate AI models with cloud platforms and managed AI services - Develop scalable APIs and microservices supporting AI workloads - Collaborate with data scientists, ML engineers, and product teams to deliver end-to-end solutions - Implement CI/CD pipelines ensuring code quality, testing, and security - Monitor and optimize performance, reliability, and cost of cloud AI deployments - Ensure compliance with data privacy, security, and responsible AI guidelines Qualification Required: - Strong hands-on experience in Python development for Gen AI workloads - Practical exposure to Generative AI models (LLMs, transformers, diffusion models) - Experience working with cloud native AI services on GCP/AWS/Azure - Understanding of privacy-preserving ML techniques and responsible AI practices - Familiarity with MLOps pipelines, model deployment, and monitoring - Ability to design scalable, production-ready AI solutions The additional details of the company were not included in the provided job description.