We are seeking a Tech Anchor with strong expertise in Python, ML Ops, and Google Cloud Platform (GCP) to lead the development of end-to-end solutions. This role requires hands-on experience in both front-end and back-end development, along with a strong focus on deploying machine learning models in cloud environments.
Key Responsibilities
Lead the development of scalable applications with a focus on full-stack development.
Implement and manage ML Ops pipelines for seamless deployment and monitoring of machine learning models.
Design, develop, and deploy end-to-end solutions using GCP services.
Collaborate with cross-functional teams to drive 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)
ML Ops expertise : Deployment, monitoring, and scaling of machine learning models
GCP : Hands-on experience with GCP services (e.g., AI Platform, Cloud Functions, BigQuery, etc.)
Full Stack Development: Hands-on experience 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're passionate about leading technical projects and building innovative solutions in a fast-paced environment, we'd love to connect with you!
(ref:hirist.tech)
How strong is your resume?
Upload your resume and get feedback from our expert to help land this job
How strong is your resume?
Upload your resume and get feedback from our expert to help land this job