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
