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If you are a Machine Learning Operations (MLOps) Engineer looking for excitement, challenge and stability in your work, then you would be glad to come across this page.

We are an IT Solutions Integrator/Consulting Firm helping our clients hire the right professional for an exciting long-term project. Here are a few details.

Check if you are up for maximizing your earning/growth potential, leveraging our Disruptive Talent Solution.
Role:Machine Learning Operations (MLOps) Engineer/Practitioner
Location: Hyderabad
Work Mode: Hybrid
Relevent Experience: 3-8 Years
Type: Contract to Hire
RequirementsJob Summary

We are looking for an experienced MLOps Practitioner to join our Canada Post project. The ideal candidate should have strong hands-on experience in machine learning operations, model lifecycle management, and AWS-based ML platforms.

Key Responsibilities

- Design and implement MLOps processes for machine learning model development and deployment.

- Work on model training, evaluation, retraining, and monitoring.





- Perform feature engineering and support end-to-end ML workflows.

- Work with core Machine Learning frameworks and tools.

- Build and maintain scalable ML pipelines and model lifecycle processes.

- Utilize AWS Sage Maker Unified Studio for ML development and operational workflows.

- Monitor model performance and implement model retraining strategies when required.

Required Skills

- Strong hands-on experience in MLOps.

- Experience with:
- Model Training & Evaluation

- Feature Engineering

- Model Retraining

- Model Monitoring

- Core ML Frameworks

- Strong experience with AWS Sage Maker Unified Studio.

Positive to Have

- Experience with Terraform.

- Strong understanding of AWS Infrastructure.

- Experience with AWS services related to ML/AI workloads.

- Knowledge of cloud-based MLOps architecture and best practices.

Candidate Profile

- Strong MLOps hands-on experience with an understanding of the complete ML lifecycle.

- Ability to work independently in a project environment.

- Strong troubleshooting and problem-solving skills.

- L35-level candidates are preferred.

Interested candidates can apply with their updated resume mentioning relevant MLOps and AWS Sage Maker experience.

BenefitsVisit us at . Alignity Solutions is an Equal Opportunity Employer, M/F/V/D.
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📌 Machine Learning Operations 3 - 8 Yrs (India)
🏢 Alignity Solutions
📍 India