Software Engineer - Python Programming

As a Tech Anchor, you will be leading the development of end-to-end solutions with a focus on full-stack development and deploying machine learning models in cloud environments. Your expertise in Python, ML Ops, and Google Cloud Platform (GCP) will play a crucial role in this position. Key Responsibilities: - Lead the development of scalable applications using a full-stack development approach. - Implement and manage ML Ops pipelines for seamless deployment and monitoring of machine learning models. - Design, develop, and deploy end-to-end solutions utilizing GCP services. - Collaborate with cross-functional teams to ensure technical excellence and project success. - Provide technical guidance and mentorship to junior developers. Mandatory Skills: - Strong proficiency in Python with a focus on ML and data handling. - Expertise in ML Ops, including deployment, monitoring, and scaling of machine learning models. - Hands-on experience with GCP services such as AI Platform, Cloud Functions, and BigQuery. - Experience in full-stack development with front-end and back-end technologies. - Strong problem-solving and leadership skills. Preferred Qualifications: - Experience in DevOps practices and CI/CD pipelines. - Knowledge of containerization tools like Docker and Kubernetes. - Familiarity with Agile/Scrum methodologies. If you are passionate about leading technical projects and building innovative solutions in a fast-paced environment, we look forward to connecting with you. As a Tech Anchor, you will be leading the development of end-to-end solutions with a focus on full-stack development and deploying machine learning models in cloud environments. Your expertise in Python, ML Ops, and Google Cloud Platform (GCP) will play a crucial role in this position. Key Responsibilities: - Lead the development of scalable applications using a full-stack development approach. - Implement and manage ML Ops pipelines for seamless deployment and monitoring of machine learning models. - Design, develop, and deploy end-to-end solutions utilizing GCP services. - Collaborate with cross-functional teams to ensure technical excellence and project success. - Provide technical guidance and mentorship to junior developers. Mandatory Skills: - Strong proficiency in Python with a focus on ML and data handling. - Expertise in ML Ops, including deployment, monitoring, and scaling of machine learning models. - Hands-on experience with GCP services such as AI Platform, Cloud Functions, and BigQuery. - Experience in full-stack development with front-end and back-end technologies. - Strong problem-solving and leadership skills. Preferred Qualifications: - Experience in DevOps practices and CI/CD pipelines. - Knowledge of containerization tools like Docker and Kubernetes. - Familiarity with Agile/Scrum methodologies. If you are passionate about leading technical projects and building innovative solutions in a fast-paced environment, we look forward to connecting with you.