Job Type: Full Time
Job Location: Hybrid (U.S. or India), Remote
Experience: 4–8 years
About the Role:
Ascend InfoTech is seeking a Machine Learning Engineer to build scalable ML pipelines and
deploy models into production environments. This is an opportunity to bring cutting-edge
innovation into real-world applications for enterprise clients.
Key Responsibilities:
- Build and optimize end-to-end machine learning workflows.
- Deploy, monitor, and manage ML models in production (MLOps).
- Collaborate with Data Scientists to industrialize research models.
- Leverage cloud-native tools to scale AI solutions.
- Ensure performance, accuracy, and compliance of ML systems.
Requirements:
- Strong programming skills in Python and experience with ML libraries (TensorFlow, PyTorch, scikit-learn).
- Familiarity with ML pipeline tools (e.g., MLflow, Airflow, SageMaker).
- Solid understanding of model versioning, reproducibility, and CI/CD.
- Experience working in production-grade environments on AWS, Azure, or GCP.
Preferred:
- Knowledge of data lake architectures and frameworks like Databricks.
- Experience with containerization (Docker, Kubernetes).
Apply Now:
Submit your resume on our Careers Page or email us at careers@ascendinfotech.com.