Prepare for Your Turing Interview with Real Experiences!
View interviews
AmbitionBox
Search
Jobs
- Reviews
- Salaries
- Interview Questions
- About Company
- Benefits
- Jobs
- Office Photos
- Community
Premium Employer
i
This company page is being actively managed by
Turing Team. If you also belong to the team, you
can get access from
here
Turing
Work with us 
Compare
All Filters
7194 Turing Jobs
ML Ops Engineer
Turing
posted 3+ weeks ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
Job Responsibilities:
- Architect and establish cloud infrastructure and data workflows to facilitate the deployment of large-scale machine learning models in production environments.
- Define and promote best practices for MLOps to ensure high standards of quality, consistency, and automation across the organization.
- Innovate and implement continuous integration and delivery (CI/CD) pipelines, enabling swift iteration and deployment of ML models and systems.
- Collaborate with cross-functional teams to identify, create, and integrate tools and services optimally supporting ML processes, from training and tuning to inference.
- Keep abreast of emerging technologies and propose integration strategies to enhance ML system performance, maintainability, and reliability.
- Contribute to ML systems security, traceability, versioning, and automate the deployment of proof-of-concept projects to production.
Job Requirements:
- Minimum of 3 years of experience in building and deploying end-to-end machine learning projects in a similar role as an ML Ops Engineer, ML Platform Engineer, or ML Engineer.
- Proficient knowledge of popular machine learning frameworks, including PyTorch, Tensorflow, and associated technologies.
- Profound software engineering skills, with a strong command of Python and cloud computing environments.
- Solid understanding of cloud security principles and compliance standards within platforms such as AWS and GCP.
- Expertise in scalable database systems and proficient experience in developing CI/CD pipelines in cloud-based architectures.
- Proven experience in containerization technologies and orchestration tools like Kubernetes and Terraform.
- Demonstrated ability to develop custom API integrations and familiarity with data orchestration frameworks.
- Autonomous and innovative problem-solving skills, with the ability to lead, impactful initiatives in a dynamic and uncertain landscape.
Employment Type: Full Time, Permanent
Read full job description
What people at Turing are saying
What Turing employees are saying about work life
based on 217 employees
Flexible timing
Monday to Friday
No travel
Night Shift
Turing Benefits
Work From Home 
Team Outings 
Soft Skill Training 
Job Training 
Education Assistance 
Compare Turing with
Netmeds.com
Compare
Toothsi
Compare
Tracxn
Compare
Zolo
Compare
Flipkart Health+
Compare
Impact Guru
Compare
Milkbasket
Compare
HungerBox
Compare
FoodPanda
Compare
KreditBee
Compare
Weddingz.in
Compare
RentoMojo
Compare
Upwork
Compare
Yaantra
Compare
Amber
Compare
Mfine
Compare
MyGlamm
Compare
Filo
Compare
StoreKing
Compare
Trell
Compare
ML Ops Engineer
3-5 Yrs
Remote
Python, Cloud Computing, Automation Testing +6 more
Senior Fullstack Engineer - Frontend Heavy
5-7 Yrs
Remote
Computer Science, Python, SQL +7 more
Senior Fullstack Engineer - Backend Heavy
5-7 Yrs
Remote
Computer Science, Python, SQL +7 more
Technical Content Writer (2-6 yrs)
2-6 Yrs
Artificial Intelligence, Technical Writing, JIRA
Full-Stack JS/TS Developer
2-3 Yrs
Remote
Medical Coding, Computer Science, Backend +5 more
Full-Stack Developer
2-3 Yrs
Remote
Medical Coding, Computer Science, Backend +5 more
Fullstack Engineer
2-6 Yrs
Remote
Computer Science, Python, Computer Networking +6 more
Python Developer
0-5 Yrs
Remote
Medical Coding, Computer Science, Data Analysis +5 more
Fullstack Engineer
2-6 Yrs
Remote
Computer Science, Python, Computer Networking +6 more
FullStack Developer
2-3 Yrs
Remote
Computer Science, Python, Computer Networking +6 more
Share an Interview