ML Engineer Nearshore

1 week ago

Mississauga, Ontario, Canada BayOne Solutions Full time $120,000 - $140,000 per year

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).

Strong 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) .

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