Key Responsibilities:

- Design, develop, and maintain ETL/ELT pipelines for structured and unstructured data.

- Implement scalable data architectures using cloud platforms (AWS, GCP, Azure).

- Develop and optimize machine learning pipelines for training, validation, and deployment.

- Work closely with data scientists to productionize ML models using MLflow, TensorFlow, PyTorch, or Scikit-learn.

- Implement MLOps best practices, including CI/CD pipelines for model deployment and monitoring.

- Optimize data storage and retrieval using data lakes, warehouses (Snowflake, Redshift, BigQuery), and NoSQL databases.

- Develop real-time data streaming solutions using Kafka, Kinesis, or Apache Flink.

- Ensure data quality, governance, and compliance with industry standards.

- Automate workflows using Airflow, Prefect, or Dagster.

- Monitor model performance and ensure retraining pipelines are in place.

Required Skills & Qualifications:

- 3-7 years of experience in Data Engineering, ML Engineering, or a related field.





- Strong programming skills in Python and SQL (experience with Scala or Java is a plus).

- Hands-on experience with big data processing frameworks (Spark, Hadoop, Dask).

- Expertise in machine learning frameworks (TensorFlow, PyTorch, Scikit-learn).

- Experience with containerization (Docker, Kubernetes) for model deployment.

- Familiarity with feature engineering, feature stores, and vector databases (Feast, Pinecone).

- Robust understanding of data pipelines, batch & streaming data processing.

- Knowledge of MLOps tools (Kubeflow, MLflow, Sagemaker, Vertex AI).

- Proficiency in cloud services such as AWS (S3, Lambda, SageMaker), GCP (BigQuery, Vertex AI), or Azure (Synapse, ML Studio).

- Experience with monitoring and logging tools (Prometheus, Grafana, ELK Stack).

Nice to Have:

- Experience working in Retail, Finance, Healthcare, or E-commerce domains.

- Exposure to A/B testing, recommendation systems, or NLP applications.

- Understanding of data privacy regulations (GDPR, CCPA).

📌 ML Engineer Nearshore (Mississauga)
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📍 Mississauga