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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.

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Role:Machine Learning Operations (MLOps) Engineer/Practitioner

Location: Hyderabad

Work Mode: Hybrid

Relevent Experience: 3-8 Years

Type: Contract to Hire

Requirements

Job 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 SageMaker 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

- Robust experience with AWS SageMaker Unified Studio.

Good 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 SageMaker experience.

Benefits

Visit us at http://alignity.io/careers. Alignity Solutions is an Equal Opportunity Employer, M/F/V/D.

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📌 Machine Learning Operations 3 - 8 Yrs (Hyderabad)
🏢 Alignity Solutions
📍 Hyderabad