Ashok Nagar Delhi Delhi Senior data engineer – python & sql Jobs – 130 Open Jobs Today

4177083-Senior Manager
EXL Service —Gurugram, Haryana
- Full-time
- Azure
- SQL
- AWS
Senior Data Engineer
Anaplan —Gurugram, Haryana
- Email
- Computer Science
- DevOps
- SQL
Quick apply

Other jobs to consider

Find your next job by exploring related positions.

Global AI/ML Engineer Manager
Boston Consulting Group —Gurugram, Haryana
Take full ownership of the features and projects you work on, delivering high-quality solutions independently. Experience with LLM monitoring and observability.
Senior Software Engineer- Data Analyst
BOLD LLC —Noida, Uttar Pradesh
You will also be responsible for developing standardized metrics and reporting for the organization that keep us informed, and are the fingers on the pulse of…

I want to receive the latest job alerts for senior data engineer – python & sql in ashok nagar delhi delhi

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

Explore jobs in more locations

senior data engineer – python & sql jobs near ashok nagar delhi delhi

Data Engineer jobs in Ahmedabad, Gujarat

Data Engineer jobs in Kolkata, West Bengal

Engineer, Junior Engineer Civil jobs in Himachal Pradesh

Estimation Engineer jobs in Pune, Maharashtra

Data Engineer jobs in Lig Colony, Indore, Madhya Pradesh

Data Engineer jobs in Nashik, Maharashtra

4177083-Senior Manager

EXL Service -
Gurugram, Haryana

Apply Now

Job details

Full-time

Qualifications

CI/CD
Azure
SQL
AWS
Bachelor's degree
Continuous integration
APIs
Communication skills
Python

Full job description

Job Description: Job description: Senior ML Ops Engineer Experience: 4-6 years Job Location: Gurgaon (Hybrid) Shift Timing: 1:00PM IST – 10:30 PM IST Skills/ Qualifications Required: Relevant experience in ML Engineering/ ML Ops role with an end-to-end understanding of ML based project’s solution design & architecture, development, implementation & deployment Should fulfill all the standard MLOps level 2 requirements for CI/CD + CT pipeline automation Strong grasp & hands on experience with production ready scalable code using SQL (advance) and Python Hands-on experience in working on any of the of cloud stacks: AWS/ Azure/ GCP Good communication skills Can work hands-on independently. Bachelor’s degree from Tier I/II colleges preferred Job Responsibilities Actively own & manage client deliverables. Design solution architectures and pipelines for ML applications. Create ML prototypes, design ML systems, develop automated ML application pipelines (across data collection, processing, cleaning, transformation etc. aspects) under the constraints of scalability, correctness, and maintainability. Implement model evaluation and model + data validation tools/ techniques such as schema validation, evaluation metrics etc. Develop and deploy fCI/CD based automated ML application pipelines (collection, processing, cleaning, transformation etc.) along with the CT component for continuous feedback loop for re-training. Strong skills in Feature store setup, Pipeline Integration, Automated triggering, Model Continuous Delivery, Model Serving (via APIs) & Model Monitoring Responsible for productionizing and making the models available as APIs / micro services. Promote a practice of unifying system development (Dev) and system operations (Ops) Ensure output’s thorough quality check & provide analytics driven insights and next steps. To perform statistical analysis and fine-tune models using test results. Understand data and different platforms used by the client. Actively contribute towards problem solving & mentor juniors in the team

Apply Now

Refine Your Search

senior data engineer – python & sql jobs in ashok nagar delhi delhi

4177083-Senior Manager

Senior Data Engineer

Other jobs to consider

I want to receive the latest job alerts for senior data engineer – python & sql in ashok nagar delhi delhi

Related Searches

Explore jobs in more locations

Jobseeker tools

Employer Tools

Browse

Stay Connected