About the role
5+ years of hands-on Machine Learning Engineering, MLOps, or AI Engineering experience within enterprise production environments. Extensive experience designing and deploying Databricks Lakehouse solutions using Delta Lake, Unity Catalog, MLflow, Databricks SQL, Workflows, and Delta Live Tables. Strong programming expertise in Python, PySpark, Pandas, NumPy, and modern software engineering best practices. Experience building, training, deploying, and monitoring machine learning models using PyTorch, TensorFlow, scikit-learn, XGBoost, or similar ML frameworks. Proven experience implementing end-to-end MLOps pipelines including experiment tracking, model registry, automated retraining, model deployment, and production monitoring. Hands-on experience developing Generative AI (GenAI) and Large Language Model (LLM) solutions, including RAG architectures, prompt engineering, LangChain, LlamaIndex, or Databricks Mosaic AI. Experience implementing Vector Search, embeddings, semantic search, and AI retrieval pipelines using Databricks or similar vector database technologies. Strong understanding of Apache Spark internals, distributed computing, performance tuning, partitioning, memory management, and large-scale data processing. Experience with cloud platforms including AWS, Azure, or Google Cloud Platform, supporting enterprise AI and machine learning workloads. Experience implementing CI/CD pipelines, GitHub Actions, Azure DevOps, Databricks Asset Bundles, and modern DevOps automation practices. Hands-on experience with Docker, Kubernetes, Terraform, or Pulumi supporting Infrastructure-as-Code and scalable AI platform deployments. Experience working with Delta Lake optimization, Unity Catalog governance, data lineage, access controls, and enterprise data governance practices. Strong experience monitoring model performance, model drift, data quality, observability, and production SLAs using tools such as Prometheus, Grafana, or Databricks Lakehouse Monitoring. Demonstrated ability to collaborate with Data Scientists and Data Engineers to productionize AI and machine learning solutions while conducting code reviews, architecture reviews, and technical mentoring. Experience supporting modern AI ecosystems including Feature Store, Databricks Model Serving, Kafka, Spark Structured Streaming, Lakehouse Architecture, and responsible AI or ML governance practices.
,
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About Myticas Consulting
Myticas Consulting is a proven industry-leading IT Staffing and Recruitment organization, with active locations in major North American cities such as Ottawa Ontario, Chicago Illinois, and Atlanta Georgia.
Our large team of IT recruitment and sales professionals have over 50+ years of combined experience providing the highest quality of Telecommunication Engineering, ERP and IT Software Development resources, to both Public and Private sector enterprise level environments.
Here at Myticas, we strive to continually provide unmatched quality of IT resources, that prove to stand the test of time, and go above and beyond all project expectations and deliverables.
The "motto" at Myticas is not only to work with you, but to understand what success really looks like for your organization, and to deliver the IT staffing needs that matter most to increasing both the functionality and efficiency of your environment.
With our evolving expertise in Telecom, ERP, DW/BI and EAI resources, and a guaranteed replacement program for all our partners, the defined win-win scenario has never been presented in a more simple manner.
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About the role
5+ years of hands-on Machine Learning Engineering, MLOps, or AI Engineering experience within enterprise production environments. Extensive experience designing and deploying Databricks Lakehouse solutions using Delta Lake, Unity Catalog, MLflow, Databricks SQL, Workflows, and Delta Live Tables. Strong programming expertise in Python, PySpark, Pandas, NumPy, and modern software engineering best practices. Experience building, training, deploying, and monitoring machine learning models using PyTorch, TensorFlow, scikit-learn, XGBoost, or similar ML frameworks. Proven experience implementing end-to-end MLOps pipelines including experiment tracking, model registry, automated retraining, model deployment, and production monitoring. Hands-on experience developing Generative AI (GenAI) and Large Language Model (LLM) solutions, including RAG architectures, prompt engineering, LangChain, LlamaIndex, or Databricks Mosaic AI. Experience implementing Vector Search, embeddings, semantic search, and AI retrieval pipelines using Databricks or similar vector database technologies. Strong understanding of Apache Spark internals, distributed computing, performance tuning, partitioning, memory management, and large-scale data processing. Experience with cloud platforms including AWS, Azure, or Google Cloud Platform, supporting enterprise AI and machine learning workloads. Experience implementing CI/CD pipelines, GitHub Actions, Azure DevOps, Databricks Asset Bundles, and modern DevOps automation practices. Hands-on experience with Docker, Kubernetes, Terraform, or Pulumi supporting Infrastructure-as-Code and scalable AI platform deployments. Experience working with Delta Lake optimization, Unity Catalog governance, data lineage, access controls, and enterprise data governance practices. Strong experience monitoring model performance, model drift, data quality, observability, and production SLAs using tools such as Prometheus, Grafana, or Databricks Lakehouse Monitoring. Demonstrated ability to collaborate with Data Scientists and Data Engineers to productionize AI and machine learning solutions while conducting code reviews, architecture reviews, and technical mentoring. Experience supporting modern AI ecosystems including Feature Store, Databricks Model Serving, Kafka, Spark Structured Streaming, Lakehouse Architecture, and responsible AI or ML governance practices.
,
Not the right fit? Search for Databricks ML & AI Engineer jobs in Canada
About Myticas Consulting
Myticas Consulting is a proven industry-leading IT Staffing and Recruitment organization, with active locations in major North American cities such as Ottawa Ontario, Chicago Illinois, and Atlanta Georgia.
Our large team of IT recruitment and sales professionals have over 50+ years of combined experience providing the highest quality of Telecommunication Engineering, ERP and IT Software Development resources, to both Public and Private sector enterprise level environments.
Here at Myticas, we strive to continually provide unmatched quality of IT resources, that prove to stand the test of time, and go above and beyond all project expectations and deliverables.
The "motto" at Myticas is not only to work with you, but to understand what success really looks like for your organization, and to deliver the IT staffing needs that matter most to increasing both the functionality and efficiency of your environment.
With our evolving expertise in Telecom, ERP, DW/BI and EAI resources, and a guaranteed replacement program for all our partners, the defined win-win scenario has never been presented in a more simple manner.