Location
Gurgaon | India
Job description
Job description: ML Engineer
Job Location: Gurgaon (Hybrid)
Shift Timing: 12:30PM IST – 10:30 PM IST
Experience: 5-7 years
Skills/ Qualifications Required - Relevant experience in ML Engineering/ ML Ops role with an end-to-end understanding of ML based project's solution designing, 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, along with an in-depth knowledge of Machine Learning concepts
- Hands-on experience in working on AWS cloud stack
- Working experience Sagemaker, EC2, S3, EMR, Lambda Functions, Cloudwatch, etc.
- At least 2 year of experience in orchestrating ML Jobs on Airflow, Step Functions, Model registry etc.
- Knowledge of Jenkins for CI/CD tool
- Good communication skills
- Experience with version control tools such as MLFlow, DVC, Pachyderm etc.
- Good to have: Experience with Google Analytics data, PySpark
- Bachelor's degree from Tier I/II colleges preferred (Post Graduation – Good to have, not mandatory)
Job Responsibilities - Actively own & manage client deliverables.
- Collaborate with data scientists, data engineers, and other MLOps Engineers to solve complex problems and create unique solutions for MLOps
- Create ML prototypes, design ML systems, research, and implement ML algorithms, and develop machine learning applications in accordance with client needs.
- Should have implementation experience of model evaluation and model + data validation tools/ techniques such as schema validation, valuation metrics etc.
- Responsible for developing and deploying CI/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
- 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
Can work hands-on independently
Job tags
Salary
