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AI Factory Engineer - DevOps/MLOps
DevOps/MLOps engineer in BSC's AI Factory, building the operational backbone for production AI: CI/CD pipelines, monitoring/observability, IaC automation, model registries, and release management for ML and GenAI services. Core stack includes Docker/Kubernetes, IaC, and MLOps tooling such as MLflow, Kubeflow, Airflow, and ArgoCD.
AI Factory DevOps Engineer (MLOps)
DevOps/MLOps engineer at the Barcelona Supercomputing Center who takes AI services from experiment to production: designing CI/CD pipelines, automating infrastructure, monitoring systems, and managing model registries while working with AI, platform, and security teams.
Head of R&D
We are seeking a hands-on Head of R&D to lead our Software Engineering, Product, and Data Science teams. This role will be responsible for accelerating product delivery, strengthening technical execution, and ensuring…
Security Software Engineer, Security & Trust
Whats the opportunity: As a Security Software Engineer on our Security & Trust team, you'll build the systems that help mature Aura's security and compliance commitments. You'll partner with our Security Assurance…
Python Machine Learning Data Engineer
Permanent, full-time hybrid data engineer at an established Quebec technology company, building data infrastructure and applying MLOps to support analytics and machine learning alongside data scientists. Core stack: Python, SQL, major cloud platforms, and large-scale data processing tools.
Data Engineer
Permanent, full-time Data Engineer (hybrid, Montréal) at a data-driven technology company, hired via Kelly Services/Motion Recruitment. You'll build data and ML infrastructure with data scientists — ~40% Python, plus SQL, MLOps, and cloud/big-data processing. $70,000–$100,000; no visa sponsorship available.


Senior Data Engineer, AI Platform
Senior Data Engineer building and scaling Zip's Data & AI Platform using cloud data platforms (Snowflake, Databricks), Python, SQL, Kafka, and vector search/RAG to power analytics, ML, and GenAI workloads for a Buy Now, Pay Later company.
Senior Software Engineer, ML Workflows - Weights & Biases
Senior Software Engineer to design and evolve core ML workflow systems (Artifacts, Registry, Automations, Launch) for Weights & Biases, working across Go/Python/TypeScript and cloud infrastructure to scale AI development platforms.
Data Scientist
The Data Scientist will develop and manage machine learning models for wholesale power and gas market applications, including price forecasting and trading algorithms. The role involves the full ML lifecycle, leveraging deep learning and cloud technologies to support the Commodities team in the ERCOT and PJM markets.
Senior Data Platform & AI Lead
Hybrid consulting role (80% travel) based in Washington, D.C., leading enterprise data platform modernization and AI enablement for clients in federal/defense environments. Centers on cloud data platforms (Snowflake, Databricks, AWS/Azure/GCP), MLOps/LLM integration, governance, and DoD-compliant architecture; requires active Secret clearance and U.S. citizenship.
Sr. Solutions Architect - ML/LLM Ops
Bachelor’s, Master’s degree preferably in computer science, engineering, information systems, data science, or a related field. A combination of education, training, and experience may be considered in lieu of a…
AI/ML Engineering Lead
Leads one or more AI/ML prototyping teams delivering GenAI pilots (including Google Gemini-based solutions) for a U.S. Customs and Border Protection program, acting as the primary technical contact for government stakeholders. Day-to-day: set GenAI technical direction (RAG, agents, evaluation), run code/design reviews and Agile delivery, and mentor engineers. Mostly remote with ~1 day/week on-site
Senior ML/AI Engineer
Senior ML/AI Engineer at a healthcare startup building the ML/AI systems and real-time decision platform that guide specialty care for joint, back, and muscle conditions. Day to day: taking predictive and GenAI models from prototype to production on Databricks and AWS — deployment, retraining, monitoring, and streaming integrations.
Artificial Intelligence Engineer
Contract AI engineer who independently designs and delivers production-grade AI/ML solutions end to end — LLM apps, RAG and agentic/multi-agent systems — with Python/Django and FastAPI backends, MLOps on cloud (Azure/AWS), working closely with US business and tech teams across time zones.
Site Reliability Engineer (SRE) with MLOPS and GPU support
SRE providing production support for AI/ML platform operations on GCP with GPU infrastructure: incident triage, root cause analysis, change execution, patching, monitoring, and BCP for mission-critical systems, plus automation of routine support tasks. Requires 24x7 shift/on-call availability.
Senior Data Engineer - Advertising
Senior Data Engineer (100% remote) building scalable data pipelines and infrastructure to power ML and generative AI models for a global marketing/creative technology client. Works with Python, SQL, and cloud platforms (AWS/GCP/Azure), integrating marketing data like GA4, ad platforms, CRMs, and CDPs.

Software Engineer, ML Platform
Build and scale Gusto’s ML/AI platform, designing MLOps pipelines, feature stores, and deployment frameworks to enable reliable, scalable AI services for internal teams.
AI Developer Test Management
Join our Team Location: Ottawa, ONT At this time, Ericsson Canada Inc. does not provide immigration assistance/sponsorship now or in the future for this position. About this opportunity: Join our RP Test Management…
Senior Data Engineer (US)
Senior Data Engineer at Code and Theory, a digital-first creative agency in New York. Leads data pipeline and infrastructure workstreams using Python, SQL, and cloud platforms (AWS/GCP/Azure), integrates marketing data (GA4, CRMs, CDPs), supports ML engineering, mentors others, and applies AI-enabled workflows. $120k-$160k.

AI/ML Engineer
Build and deploy AI/ML models that personalize banking experiences for millions of users using financial and behavioral data, working with transformers and deep learning in a hybrid fintech environment.