Forward Deployed Engineer, Data, ML & AI

Job not on LinkedIn

🔥 0 minutes ago

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Carbon60

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

🏥 Healthcare

📦 Logistics

💰 Private Equity Round on 2019-01

Consulting • Healthcare • Logistics

Carbon60 is a leading Canadian managed cloud services provider that specializes in simplifying cloud management for various organizations. They offer an extensive range of services including managed private, public, and edge clouds, cloud backup and disaster recovery, cloud security, and migration services. Carbon60 is recognized for its expertise in managing complex performance, security, and compliance requirements across multiple sectors including financial services, healthcare, public, and technology sectors. Their cloud solutions are designed to be secure, compliant, and optimized, offering 24x7x365 support with a focus on delivering high-quality, reliable, and flexible cloud-based solutions to empower their clients' cloud journey.

📋 Description

• Deploy directly into customer environments to understand domain logic, data pipelines, and architectural constraints • Own end-to-end delivery from data discovery and schema design through pipeline deployment and model integration • Partner with client business leaders to evaluate legacy technology estates • Refactor legacy data setups into modern lakehouses, event-driven streaming systems, and scalable vector/graph databases • Apply Spec-Driven Development using Generative AI tools • Write structured specifications for data models, API schemas, transformations, and evaluation metrics • Architect and deploy GenAI workflows, RAG pipelines, and autonomous AI agents • Establish evaluation frameworks for model accuracy, latency, and hallucination control • Build, deploy, and maintain ML training and inference pipelines • Ensure CI/CD for models and data workflows • Design and audit production code across data-centric languages and frameworks • Establish reusable agentic development patterns, MLOps practices, data reliability frameworks, and SDD methodologies • Elevate customer teams through enablement and knowledge transfer

🎯 Requirements

• 10+ years of experience as a Principal Data Engineer, Lead ML Engineer, or Enterprise Data Architect building and scaling distributed data and ML platforms • Strong executive presence and communication skills for working with technical teams and business stakeholders under pressure • Mastery of distributed computing, including AWS Glue, Apache Spark, and Databricks • Experience with modern data warehouses including Redshift and Snowflake • Experience with data modeling tools such as dbt and data orchestration tools such as Airflow • Hands-on experience fine-tuning, evaluating, and deploying LLMs, embedding models, and vector stores • Advanced proficiency in Python and complex SQL • Fluency in at least two additional languages such as Scala, Go, Rust, or TypeScript • Experience using natural language and structured specifications with Claude Code, Cursor, or Copilot to generate data pipelines, schemas, and API adapters • Hands-on experience with AWS or Azure cloud-native data services • Experience with Docker, Kubernetes, and Terraform • Willingness to travel occasionally to customer sites • Preferred: prior experience in Forward Deployed Engineer, Data Architect, or technical consulting/professional services roles • Preferred: experience migrating legacy on-premise data warehouses or Hadoop estates to modern cloud lakehouses • Preferred: understanding of data governance, HIPAA, SOC2, GDPR, and privacy-preserving machine learning

🏖️ Benefits

• Competitive compensation package • Retirement Savings Matching Program (RRSP) • Access to the latest tech • Partnership with Perkopolis Discounts • Remote first work environment • Flexible work hours & location • Paid parental leave options • Employer paid health & dental premiums • GreenShield+ Counselling Mental Health • $500 in Health Care Spending Account annually • Peer recognition rewards