Hire Top MLOps Engineers to Scale Your Machine Learning Pipeline
Looking to scale your machine learning workflows?
Hire pre-vetted MLOps engineers who specialize in deploying, automating, and maintaining ML models in production, fast and efficiently.
Hire A Top MLOps Engineer!
Work with these top MLOPs engineers from India and Latin America.
Our skilled MLOPs developers bring innovation, expertise, and a commitment to excellence to every task.
$25/hr
Yashwanth ( 5+ Years )
Software developer with 5+ years of experience in Power BI and SQL Server. Skilled in building robust solutions and delivering insights that drive business growth.
Key Skills:
Power BI, SQL, SQL Server, Snowflake
$25/hr
Irfan ( 4+ Years )
Power BI and SQL Server expert with 4+ years of experience creating dynamic dashboards from large datasets. Proficient in ETL, DAX, and automating data refresh with PowerShell and Task Scheduler.
Key Skills:
Power BI, SQL Server, SSRS, Power BI reporting
$25/hr
Pandluru ( 4+ Years )
Mobile Application Developer with 8+ years of experience in Software Development, Application Maintenance, Support, and Project Execution.
Key Skills:
Power BI, Data Modelling, Data Visualization
$40/hr
Varun ( 7+ Years )
Seasoned Data Scientist with 7 years of experience in advanced analytics, machine learning, time series forecasting, Python, SQL, and MLOps.
Key Skills:
Linux (Alpine), AWS, Python, Shell scripting
$40/hr
Sarath ( 6 Years )
Senior Machine Learning Engineer with 6 years of experience in MLOPs, AI, Data Science and computer vision.
Key Skills:
Python, Machine learning, Computer vision, NLP, LLMs
$35/hr
Rahul ( 4+ Years )
Results-driven data scientist, machine learning engineer and full-stack web developer with 4+ years of experience in the field.
Key Skills:
Django, Flask, Advanced Python, Machine Learning, Mathematical modeling
Why Smart Brands Choose eDev to Hire MLOps Engineers
How to Hire MLOps Engineers
Tell us your requirements
Get a list of matched candidates
Shortlist candidate profiles
Participate in the vetting process if interested
Onboard selected candidates within a day
Begin working with the candidate
Tell us your requirements
Get a list of matched candidates
Shortlist candidate profiles
Participate in the vetting process if interested
Onboard selected candidates within a day
Begin working with the candidate
Scale your team up or down based on the progress of your project and the performance of the MLOps Engineer.
Explore More Roles / Skills
Frequently asked Questions
What is a machine learning operations engineer?
A machine learning operations (MLOps) engineer bridges the gap between data science and IT by ensuring ML models are deployed, monitored, and maintained efficiently in production environments.
Are MLOps and ML engineers the same?
Not exactly. A machine learning engineer focuses on building models, while an MLOps engineer ensures those models are deployed, scalable, and integrated into real-world applications. However, many developers today bring expertise in both machine learning and MLOps, making them highly valuable for end-to-end AI solutions.
What skills are needed for MLOps?
Key skills for MLOps engineers include cloud platforms (AWS, Azure, GCP), CI/CD pipelines, Docker, Kubernetes, Python, and machine learning fundamentals.
Is MLOps the future?
Yes. With growing AI adoption, MLOps has become essential for scaling and managing machine learning workflows, making MLOps engineers vital to modern AI infrastructure.
Are MLOps engineers in demand?
Absolutely. As businesses scale AI initiatives, demand for skilled MLOps engineers is rising rapidly across industries like healthcare, finance, e-commerce, and more.
What is the future of a machine learning engineer?
Machine learning engineers have a promising future, especially when paired with MLOps expertise. The ability to both develop and operationalize models is becoming a core requirement in data-driven organizations.
What is the role of an MLOps Engineer in a machine learning project?
An MLOps engineer manages the lifecycle of ML models, ensuring smooth deployment, versioning, monitoring, performance tracking, and rollback mechanisms when needed.
How much does it cost to hire an MLOps Engineer?
Rates vary based on experience and location. At eDev, you can hire qualified MLOps engineers starting at $35/hour, offering a cost-effective way to scale your ML efforts.
How quickly can I onboard an MLOps Engineer for my project?
With eDev’s curated talent pool, you can hire and onboard a remote MLOps engineer in as little as 7 days.
How do you evaluate and vet the technical skills of your MLOps Engineers?
Our vetting process includes technical interviews, practical assignments, and assessments in Python, cloud platforms, CI/CD, and machine learning workflows to ensure only the best MLOps engineers are recommended.
Can I hire an MLOps Engineer to audit and improve my current ML pipeline?
Yes. eDev’s senior MLOps engineers can evaluate your existing pipeline, identify bottlenecks, and optimize for better performance, scalability, and cost-efficiency.
