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Trench Group GmbH
Candidates need a degree or ongoing studies in mechanical, electrical, industrial or mechatronics engineering, plus solid Python coding and machine learning experience. Trench Group GmbH also asks for a GitHub profile submitted with the resume.
Python, TensorFlow, PyTorch, scikit-learn, Azure Machine Learning, Pinecone
Litmus Automation: Litmus provides an Industrial Edge Data Platform used by manufacturers worldwide to turn machine data into reliable, analytics‑ready information.
8+ YOELitmus Automation needs a candidate with a BS or MS in electrical, industrial or computer engineering and 8+ years in manufacturing or industrial technology. Technical sales experience, IIoT knowledge and skills in Python, APIs, cloud platforms and databases are strong assets.
Python, JavaScript, Azure, AWS, GCP, Cloudera
Litmus Automation: Litmus provides an Industrial Edge Data Platform used by manufacturers worldwide to turn machine data into reliable, analytics‑ready information.
Candidates need experience in manufacturing or industrial automation, IoT or analytics, plus familiarity with networking, Linux, databases and cloud platforms. Coding ability in Python or JavaScript, customer-facing experience and a self-starting, problem-solving approach are also required.
Litmus Edge, Litmus Edge Manager, Kubernetes, Docker, Linux, Azure
RAVL
RAVL needs candidates with deep experience building ML or data platforms at scale, strong Azure and Databricks skills, MLOps tooling experience and strong backend engineering in Python, Scala or Java. Experience with distributed systems and enterprise integrations such as identity, security and observability is also required.
Azure Databricks, MLflow, Kubernetes
RAVL
Candidates need strong Databricks and Spark experience, experience building ML pipelines, and proficiency in Python. Cloud experience (Azure preferred) and familiarity with CI/CD and automation are also needed.
Databricks, Spark, Python, MLflow, Azure
RAVL
Candidates need strong experience building data pipelines with tools like Spark, Airflow or dbt, plus proficiency in SQL and Python, Java or Scala. Hands-on cloud data experience on AWS, Azure or GCP, knowledge of warehousing and lakehouse architectures, and CI/CD and governance practices are also expected.
Spark, Airflow, dbt, Kafka, Snowflake, Redshift
Ericsson
5+ YOEBaccalauréat en informatique ou domaine connexe; maîtrise un atout; 5 à 8 ans d'expérience sénior; 10 ans et plus pour le niveau expert; Expérience des zones d'atterrissage sur AWS, Azure ou GCP
Terraform, Docker, Kubernetes, Helm, Flux, Apache Airflow
Nexaminds: Nexaminds is a cutting-edge AI and Cloud Transformation company at the forefront of technological innovation.
Candidates need strong Python or JavaScript/TypeScript experience, hands-on LangChain and LangGraph work, RAG and vector database experience, and Docker, Kubernetes and cloud deployment skills. Experience moving AI projects into production is also required.
LangChain, LangGraph, LangSmith, Docker, Kubernetes, Pinecone
Future Secure AI
7+ YOECandidates need a bachelor's degree in a computer science or related field, 7 years of software development experience, and strong TypeScript skills. Knowledge of AI concepts, secure scalable APIs and cloud platforms (Azure, AWS, GCP) is also required.
Python, Attention to detail, Regulatory compliance, Computer science, Software development, Natural language processing
Waterworth
Muniworth needs candidates enrolled in a Computer Science or related program with ML and AI coursework and some practical experience with PyTorch, TensorFlow or Hugging Face. Candidates should think critically about model performance and bias, and communicate well in a team setting.
PyTorch, TensorFlow, Hugging Face, Azure AI Foundry
Citi
10+ YOECandidates need 10 or more years of engineering experience, including team leadership, strong hands-on Java skills, and proven AI and machine learning delivery. Python with frameworks like PyTorch or LangChain, LLM experience, Docker and Kubernetes are also required.
Java, Python, TensorFlow, PyTorch, LangChain, Hugging Face
SE Health
15+ YOECandidates need 15+ years of technology and data leadership, including senior executive accountability. They must have deployed machine learning or Generative AI in production, managed budgets, and know health data standards and privacy laws such as PHIPA and PIPEDA.
Azure, AWS, Google Cloud
CAMSO
10+ YOECandidates need a degree in computer science, information systems or data analytics, plus 10+ years in IT with 5+ years in BI and data architecture. They must be fluent in French and English and have experience with cloud data platforms, data governance, PowerBI and AI tooling.
Azure Data Lake, Databricks, Unity Catalog, Collibra, PowerBI, Dataiku
Nebius
5+ YOECandidates need a bachelor's degree or equivalent experience, 5+ years of customer-facing technical pre-sales, 5+ years of infrastructure as code, 5+ years of Kubernetes, and 5 years of Python for cloud automation. GPU and ML framework experience is a bonus.
Kubernetes, Slurm, Kubeflow, TensorFlow, PyTorch
Scotiabank
3+ YOECandidates need a bachelor's degree in a technical field or equivalent experience, plus 3+ years of professional software engineering experience. They should have strong Python, Java or Scala skills, cloud platform and Kubernetes experience, and working knowledge of MLOps and machine learning concepts.
Docker, Kubernetes, Terraform, MLflow, Kubeflow, Airflow
Apartment List
5+ YOECandidates need 5+ years of professional software engineering experience, including backend or full-stack work, and skill in a backend language such as TypeScript, Python, Go or Ruby. They also need cloud experience (GCP preferred), comfort with machine learning concepts, and strong communication skills.
Vertex AI, Chalk, MLflow, Kubeflow
Keyrus Canada
7+ YOECandidates need 7+ years designing AWS cloud architectures, plus hands-on skills with networking, databases, Docker, Kubernetes and CI/CD. Strong communication with technical and non-technical audiences is essential.
AWS, Docker, Kubernetes, Amazon Bedrock, Amazon SageMaker, CI/CD pipelines
Deloitte
2+ YOECandidates need 2+ years of IT operations or cloud support experience, basic knowledge of one major cloud platform, and foundational Windows, Linux and networking skills. A diploma or degree in a related field, or equivalent practical experience, is also expected.
ServiceNow, Microsoft Hyper-V, Dynatrace, Splunk, Azure Monitor, Amazon CloudWatch
Allstate
Candidates need hands-on machine learning and statistical modelling experience, ideally in P&C insurance or financial services. Strong Python and SQL skills, Azure Machine Learning experience and clear communication with business stakeholders are required.
Python, SQL, Azure Machine Learning, SAS
20 companies