GrowExx - MLOps Engineer - AWS Cloud Services

3 weeks ago

Anywhere in IndiaMultiple Locations, IN GROWBY EXX SERVICES PRIVATE LIMITED Full time

Growexx is looking for smart and passionate ML-Ops Engineer, who will play a critical role in designing, implementing, and maintaining the infrastructure and tools necessary for efficient machine learning (ML) operations.

Key Responsibilities:

- Design and implement cloud solutions, build ML-Ops on AWS cloud.

- Review cloud-based ML frameworks & models, run the code refactoring & optimization for scale, containerization, deployment, versioning, model monitoring and resource management.

- Data science models testing, validation and tests automation in cloud

- ML workflow load testing for real-case requests and responses and set up a scalable solution for an ML workflow.

- Build continuous development and deployment pipelines orchestration.

- Set up a model & data quality monitoring and send alerts to stakeholders when model performances are drifted.

- Touch code at every level - from the UI, backend microservices, database, big data processing, operations, to CD/CI automation.

- Collaborate closely with data science teams to define requirements, discuss solutions, and develop high quality deliverables for our customers.

- Take ownership for the quality of the code.

Key Skills:

- Hands-on expertise with AWS Cloud Platform.

- In-depth knowledge of AWS services, including but not limited to EC2, S3, RDS, Lambda, IAM, VPC, and CloudWatch.

- Experience in creating effective CI/CD pipelines.

- Familiarity with containerization and orchestration tools, such as Docker and Kubernetes.

- Proficient in scripting and programming languages such as Python, Bash, or PowerShell.

- Experience with version control systems (e.g., Git).

- Excellent troubleshooting skills.

- Familiarity with managing ML Ops platforms.

- Understanding of machine learning concepts and practices, including model retraining, deployment, and monitoring.

Education and Experience:

- Bachelor's or Master's degree in computer science, Data Science, or a related field.

- 5+ years of proven experience in creating CI/CD pipelines and working with AWS Cloud.

- Understanding of machine learning concepts and ML-Ops.

Analytical and Personal skills:

- Must have good logical reasoning and analytical skills

- Good Communication skills in English - both written and verbal

- Demonstrate Ownership and Accountability of their work

- Attention to details

(ref:hirist.tech)

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