Join HireFlex Global as an ML Ops Engineer! Work remotely, earn ₹20,00,000 per annum, and apply your expertise in Azure, Python, and machine learning. Apply by October 12, 2024.
HireFlex Global Hiring ML Ops Engineer | Remote Position
ML Ops Engineer Job at HireFlex Global (Remote)
| Position | ML Ops Engineer (Remote) |
|---|---|
| Company | HireFlex Global |
| Location | Work from home (Remote) |
| Start Date | Immediate |
| CTC (Annual) | ₹20,00,000 |
| Experience Required | 3-5 years |
| Application Deadline | October 12, 2024 |
| Number of Openings | 3 |
| Job Type | Full-time (Remote) |
| Skills Required | Machine Learning, Microsoft Azure, Python |
About the ML Ops Engineer Role at HireFlex Global
HireFlex Global is offering a fully remote position for an experienced ML Ops Engineer to help streamline machine learning (ML) operations across various projects. In this role, you will collaborate with data scientists to transition proof-of-concept (POC) models into reliable production systems, ensuring smooth integration, robust deployment, and efficient model maintenance.
The ideal candidate will have strong experience in ML pipelines, cloud services like Azure, and expertise in CI/CD workflows, with a focus on building and maintaining scalable, secure machine learning infrastructure.
Key Responsibilities:
- Build and optimize ML pipelines for efficient data ingestion, preprocessing, and feature engineering.
- Develop and manage machine learning workflows using Azure and Azure ML.
- Implement mechanisms to detect data drift and maintain model accuracy.
- Use cloud services like Azure and container tools like Docker to support ML workflows.
- Ensure smooth model deployment into production environments with minimal downtime.
- Design and implement MLOps frameworks and best practices for model lifecycle management.
- Collaborate with data scientists to transition POC projects into scalable systems.
- Oversee deployment, monitoring, and maintenance of machine learning models in production.
- Focus on CI/CD processes to streamline continuous integration and deployment.
Required Skills and Qualifications
- Machine Learning: Strong background in ML, with experience building and managing pipelines.
- Cloud Platforms: Expertise in Microsoft Azure and Azure ML.
- Programming: Proficiency in Python.
- Experience: A minimum of 3 years in relevant roles, with a preference for candidates with 5 years of experience.
- Education: BTech/MS/MTech in Computer Science, Mathematics, or a related field.
Additional Requirements
- Experience: A background in recruiting a team of 100 people is preferred.
- Team Management: Proven experience in managing teams is advantageous.
Salary and Benefits
- Annual CTC: ₹20,00,000 per annum.
- Perks: 5-day work week, health insurance.
About HireFlex Global
HireFlex Global is a leading provider of AI and data science services, bringing together cutting-edge technologies to solve complex business problems. With a focus on leveraging AI and ML, the company is at the forefront of innovation in various industries.
Q&A: Common Questions About the ML Ops Engineer Role at HireFlex Global
1. What is the salary for the ML Ops Engineer position at HireFlex Global?
The annual CTC for the remote ML Ops Engineer position is ₹20,00,000.
2. Is this a fully remote position?
Yes, this is a fully remote position, allowing you to work from home or any location of your choice.
3. What are the core skills required for this role?
The key skills include proficiency in Machine Learning, Microsoft Azure, and Python.
4. What are the responsibilities of an ML Ops Engineer at HireFlex Global?
Your responsibilities will include building ML pipelines, deploying models on Azure, ensuring data accuracy, and maintaining CI/CD pipelines for continuous model deployment.
5. Is there a preference for any specific educational background?
A degree in Computer Science, Mathematics, or related fields such as BTech, MS, or MTech is preferred.
6. What experience level is required for this role?
Candidates should have 3 to 5 years of experience in ML Ops or related fields. A strong understanding of MLOps frameworks and cloud technologies is essential.
7. What tools and platforms will I work with in this role?
You will work with Azure ML, Python, Docker, and CI/CD pipelines to manage ML models in production.
8. What is the deadline to apply for this position?
You need to apply by October 12, 2024.
9. How many openings are available for the ML Ops Engineer position?
There are 3 open positions available for this role.
10. What are the benefits offered by HireFlex Global?
The benefits include a 5-day work week, health insurance, and the flexibility to work remotely.
How to Apply for the ML Ops Engineer Job at HireFlex Global
Ready to take on a challenging and rewarding role as an ML Ops Engineer? Apply today and join HireFlex Global’s remote team to build and manage advanced machine learning operations.
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ML Ops Engineer – Remote – Apply by Oct. 12th
ML Ops Engineer (Remote) at HireFlex Global