Technical Lead for Cloud and MLOps Solutions
1 week ago
We are seeking a skilled Technical Lead to join our team at Pan Asia HR Solution in Bangalore, India. This role involves collaborating with cross-functional teams to deliver high-quality, scalable, and secure software solutions.
Job DescriptionThe ideal candidate will have strong technical expertise in cloud platforms, MLOps pipelines, distributed system design, and full-stack development. The successful applicant will also have experience in leading teams and mentoring junior engineers.
This is an excellent opportunity to work on cutting-edge technologies and contribute to the growth of our company.
Key Responsibilities:- Cloud Expertise: Design and deploy applications on cloud platforms such as AWS or GCP.
- MLOps Integration: Collaborate with data scientists to implement and deploy machine learning models into production environments.
- System Design and Architecture: Design modular, scalable, and efficient system architectures.
- Full-Stack Development: Build and maintain backend systems using Python and Java, and develop responsive and user-friendly interfaces using modern frontend frameworks like React.js, Angular, or Vue.js.
The estimated salary for this role is ₹15 lakhs - ₹20 lakhs per annum, based on industry standards and considering the location.
Required Skills and Qualifications:- Programming Languages: Proficiency in Python and Java for backend development.
- Frontend Development: Hands-on experience with modern UI frameworks (e.g., React.js, Angular, Vue.js).
- System Design: Strong understanding of microservices, distributed systems, and RESTful APIs.
- Cloud Expertise: Experience with AWS or GCP services (e.g., EC2, S3, Lambda, GCP Compute Engine).
- MLOps Knowledge: Familiarity with tools like MLflow, Feast, Kubeflow, or other machine learning platforms.
- DevOps Skills: Proficiency in CI/CD tools (e.g., Jenkins, GitLab CI/CD) and container orchestration (e.g., Kubernetes).
- Databases: Experience with SQL (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra).
- Version Control: Expertise with Git and collaboration workflows.
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