# Machine Learning Engineer (Remote – Full-Time)

## Role Overview
Anikaay Integration is looking for a skilled Machine Learning Engineer to join our growing engineering team, effective 21/07/2026. If you are passionate about building, deploying, and scaling machine learning models in production environments, we would love to hear from you. You will work on solving complex real-world problems by leveraging the latest in AI/ML technology.

## Key Responsibilities
* Design, build, and deploy production-ready machine learning models.
* Develop automated data pipelines and feature engineering workflows.
* Optimize ML models for performance, scalability, and latency.
* Collaborate with data scientists and software engineers to integrate models into core products.
* Implement MLOps best practices, including versioning, testing, and CI/CD for models.
* Continuously monitor and improve model performance in production.

## Required Qualifications
* Proficiency in Python and familiarity with key ML libraries (scikit-learn, TensorFlow, PyTorch).
* Solid understanding of machine learning algorithms, statistics, and mathematics.
* Experience with cloud platforms (AWS, GCP, or Azure) for model deployment.
* Hands-on experience with SQL and data handling.
* Strong software engineering fundamentals (Data structures, algorithms, version control).
* Ability to work effectively in a fully remote, distributed team.

## Preferred Skills
* Experience with ML frameworks like MLflow, Kubeflow, or similar MLOps tools.
* Knowledge of big data technologies (Spark, Kafka).
* Experience with containerization (Docker, Kubernetes).

## Recruitment Notice
**Client ID: 492PLKM | Job ID: 283ZTRW**
**Mandatory:** Include these IDs in your application. Please do not contact us via phone or WhatsApp. Applications must be submitted through our official link. Resumes sent via email will not be accepted. We do not charge any recruitment or registration fees.

Apply Now