ML Platform Engineer

ML Platform Engineer

Experience: 10+ years
Salary : Upto INR 45,00,000 / year
Preferred Notice Period: Within 30 Days
Shift: 3:00PM to 12:00AM IST
Opportunity Type: Remote
Placement Type: Contractual
Contract Duration: Full-Time, Indefinite Period

(*Note: This is a requirement for one of Uplers' Partners)

What do you need for this opportunity
Must have skills required :
automation, Cloud, Data Engineering, DevOps, Software Engineering, Machine Learning, System Design

Our Hiring Partner is Looking for:
ML Platform Engineer who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you.

Role Overview Description

• 10+ years of professional experience in building applications using cloud services. Prior experience in building Machine Learning platforms using cloud services.
• Cloud expertise: Deep knowledge of cloud platforms like AWS, Google Cloud Platform, or Azure, including their machine learning and data services (Azure preferred).
• DevOps skills: Experience with CI/CD pipelines, infrastructure as code, and containerization technologies like Docker and Kubernetes.
• Machine learning knowledge: Understanding of ML workflows, model training, and deployment processes.
• Data engineering: Familiarity with data pipelines, ETL processes, and data storage solutions.
• Software engineering: Strong programming skills, particularly in languages commonly used in ML like Python.
• System design: Ability to architect scalable, reliable systems that integrate various services.
• Automation: Expertise in automating workflows and processes across the ML lifecycle.
• Security and compliance: Knowledge of best practices for securing ML pipelines and ensuring regulatory compliance.
• Monitoring and logging: Experience setting up monitoring and logging for ML systems.
• Collaboration: Ability to work with data scientists, software engineers, and other stakeholders.

Roles & responsibilities

• Evaluate and select appropriate cloud services for each stage of the ML lifecycle
• Design and implement the overall architecture of the MLOps platform
• Set up automated pipelines for data preparation, model training, and deployment
• Implement version control for code, data, and models
• Ensure the platform is scalable, secure, and compliant with relevant regulations
• Provide tools and interfaces for data scientists to easily leverage the platform
• Continuously optimize the platform for performance and cost-efficiency
• This role is crucial in bridging the gap between data science and operations, enabling organizations to efficiently develop, deploy, and maintain machine learning models at scale.

How to apply for this opportunity

1. Register or login on our portal
2. Click 'Apply,' upload your resume and fill in the required details.
3. Post this click Apply Now' to submit your application.
4. Get matched and crack a quick interview with our hiring partner.
5. Land your global dream job and get your exciting career started!

About Our Hiring Partner:
The company is at the forefront of AGI infrastructure, solving the human intelligence bottleneck and empowering enterprises to harness the power of generative AItransforming complex data into actionable insights. From custom AI products to end-to-end deployment, our solutions and experts are dedicated to driving innovation and efficiency. Trusted by 1000+ companies including OpenAI, Google, and Meta. Join us in the AGI era and accelerate how businesses operate.

About Uplers:
Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. You will also be assigned to a dedicated Talent Success Coach during the engagement.

(Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well).

So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!