Mlops Platform

Job Description - MLOps Platform - Full Stack Developer (MER0003DAP)
Job Summary:
We are looking for a skilled Full Stack Developer with 3 to 7 years of experience to join our team. The ideal candidate will have expertise in Python, React.js, FastAPI, TypeScript, Kubernetes, and Google Cloud Platform (GCP). This role involves developing and maintaining web applications, building and optimizing MLops platforms, and ensuring scalable and efficient solutions across the technology stack.
Key Responsibilities: Full Stack Development:
- Design, develop, and maintain both frontend and backend components of web applications.
- Build user interfaces using React.js and TypeScript, ensuring a responsive and intuitive user experience.
- Develop backend services and APIs using Python and FastAPI, focusing on performance and scalability.MLops Platform Development:
- Contribute to the development and enhancement of MLops platforms for machine learning model deployment, monitoring, and management.
- Integrate machine learning models and workflows into web applications and cloud environments.
- Optimize MLops pipelines and ensure seamless interaction between data, models, and applications.Cloud and Kubernetes Management:
- Deploy, manage, and scale applications using Kubernetes on Google Cloud Platform (GCP).
- Utilize GCP services to build and maintain scalable cloud infrastructure and services.
- Implement best practices for containerization, orchestration, and cloud resource management.Collaboration and Innovation:
- Work closely with cross-functional teams, including data scientists, engineers, and product managers, to understand requirements and deliver effective solutions.
- Participate in code reviews, contribute to architectural discussions, and ensure adherence to coding standards and best practices.
- Stay current with emerging technologies and industry trends, recommending and implementing improvements.Documentation and Support:
- Document code, processes, and architectural decisions for future reference and knowledge sharing.
- Provide technical support and troubleshoot issues related to web applications, MLops platforms, and cloud infrastructure.Qualifications: Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent experience.3 to 7 years of experience in full stack development with a strong focus on Python, React.js, FastAPI, and TypeScript.Experience in developing and maintaining MLops platforms, including model deployment and monitoring.Proficiency with Kubernetes for container orchestration and management.Hands-on experience with Google Cloud Platform (GCP) services and infrastructure.Strong understanding of web application development, cloud computing, and DevOps practices.Excellent problem-solving skills, with the ability to address complex technical challenges.Strong communication skills and the ability to work effectively in a collaborative team environment.Preferred Qualifications: Experience with additional cloud providers (e.g., AWS, Azure).Familiarity with other frontend frameworks or libraries.Knowledge of additional backend technologies or databases.Experience with security best practices and performance optimization techniques.OrganizationMercedes-Benz Research and Development India Private Limited
Primary LocationIndia-Karnataka-Bangalore
Work LocationsBrigade Tech Gardens, Katha No. 119, Kundalahalli Village, K.R. Puram Hobli, Ward No. 85, Bangalore 560037

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