Machine Learning Engineer

Job Title: Machine Learning Engineer

About the Role:

Infostack is hiring a skilled Machine Learning Engineer with 2+ years of experience in creating and deploying machine learning models. The role involves leveraging cutting-edge ML algorithms to solve complex business problems.

Responsibilities:

- Build, train, and deploy ML models using frameworks like TensorFlow, PyTorch, and Scikit-learn.

- Develop and maintain scalable ETL pipelines for data preprocessing and transformation.

- Optimize machine learning workflows for large-scale data processing.

- Collaborate with teams to integrate ML capabilities into cloud-based services.

- Monitor and improve model performance in production environments.

Requirements:

- Expertise in Python and machine learning frameworks.

- Strong understanding of ML and deep learning algorithms.

- Experience with ETL pipelines and data engineering tools like Apache Spark.

- Proficiency with MLOps tools such as MLflow or DVC.

- Familiarity with cloud platforms (AWS, GCP, Azure).

- Strong English Communication skills.

Nice to have:

- Knowledge of containerization tools like Docker and orchestration with Kubernetes.

- Experience working with structured and unstructured datasets.

Job Timing:

05:00 PM to 02:00 AM (Remote)

Job Type: Full-time

Work Location: Remote