MLOps Engineer - Python/SQL/Cloud (6-15 yrs)

Are you passionate about working in an organization that offers cutting edge analytics solutions. We have an exciting opportunity for a ML ops Engineer with a minimum of 6 years of experience to join our dynamic team across PAN iIndia.

Location : PAN India

Your Future Employer :

Our client is a leading operations management and analytics company that provides data-driven, action-oriented solutions to business problems through statistical data mining, cutting edge analytics techniques. Specialized in complex risk minimization methods, advanced marketing, pricing and CRM strategies, internal cost analysis, and cost and resource optimization

Responsibilities :

- 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

Requirements :

- 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 to have : Experience with Google Analytics data, PySpark

- Experience with version control tools such as MLFlow, DVC, Pachyderm etc.

What's in it for you :

- Opportunity to work in a collaborative and inclusive environment that values your unique perspective

- Competitive compensation package with benefits and opportunities for professional development

Disclaimer :

Crescendo Global specializes in Senior to C-level niche recruitment. We are passionate about empowering job seekers and employers with an engaging memorable job search and leadership hiring experience. Crescendo Global does not discriminate on the basis of race, religion, color, origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Note :

We receive a lot of applications on a daily basis so it becomes a bit difficult for us to get back to each candidate. Please assume that your profile has not been shortlisted in case you don't hear back from us in 1 week. Your patience is highly appreciated.