Technical Lead for Cloud and MLOps Solutions

1 week ago


Bengaluru, Karnataka, India Pan Asia HR Solution Full time

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 Description

The 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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