Easy Apply
Easy Apply
As a Junior AI/ML Engineer, you will work on generative AI applications, traditional ML projects, and MLOps, under the mentorship of senior engineers.
Build the Next Generation of AI Products with TensorOps
TensorOps is an applied machine learning and artificial intelligence studio helping organizations worldwide plan, design, train, and deploy production-grade ML systems. Our clients range from NASDAQ-listed enterprises to seed-stage startups. Projects span from small proofs-of-concept to multi-year strategic initiatives.
What We’re Working On:
- Generative AI applications: Chatbots and Agents
- Traditional Machine Learning: Time Series Forecasting, AdTech, Computer Vision, etc.
- MLOps: Improving ML pipelines at scale
Core Stack:
As we work with many clients, our stack varies, but we often use:
- Python APIs: FastAPI
- Containerization: Docker, Kubernetes
- Model Training & Serving: LightGBM, CatBoost, PyTorch, HuggingFace
- Data Engineering: Pandas, Polars
- LLM Frameworks: LangChain, LangGraph
- Observability: MLFlow, Langfuse
- Cloud Platforms: AWS, GCP
- Search: Elasticsearch, OpenSearch, Solr
The Role:
We’re looking for a Junior Machine Learning Engineer to help us deliver projects rapidly. You’ll report to and be mentored by a senior team member. This is a hands-on role from day one, working on real projects that make a tangible impact.
Preferred Qualifications:
- BSc in Computer Science, Software Engineering or equivalent
- MSc in Computer Science, Data Science, AI or equivalent
Required Skills:
- Solid software engineering fundamentals (OOP, Git, concurrency, parallelism)
- Proficiency in Python
- Understanding of LLM system design (RAG, agents, etc.)
- Knowledge of ML system design (pipelines, training/inference techniques)
- Excellent English communication skills
Nice to Have:
- Experience in non-academic projects (jobs, internships or similar)
- Previous LLM projects (academic or otherwise)
- Exposure to AI features in cloud platforms (Sagemaker, Bedrock, Vertex AI)
- Experience working in large codebases
Why TensorOps?
- Fully remote (legal residence in Portugal required)
- Real-world projects, rapid feedback loops, and measurable impact
- Mentorship from engineers who have shipped ML systems at scale
- Competitive compensation and growth opportunities - your growth will be based on ownership and performance rather than periodic reviews (which we still do)
Compensation & Perks:
- Yearly salary: €30,000-35,000
- Travel expenses allowance
- Urban Sports Club membership
- Free Professional Certifications
Top Skills
AWS
Catboost
Docker
Elasticsearch
Fastapi
GCP
Huggingface
Kubernetes
Langchain
Langfuse
Langgraph
Lightgbm
Mlflow
Opensearch
Pandas
Polars
Python
PyTorch
Solr
Similar Jobs
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
The Instructional Systems Designer develops engaging learning solutions aligned with business needs, leveraging adult learning principles and modern instructional design methodologies.
Top Skills:
Adobe SuiteArticulateCamtasiaMS OfficeVyond
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
The District Manager engages dealers, promotes GM software and subscriptions, builds relationships, conducts training, and drives sales in the assigned territory.
Top Skills:
MS OfficeMobile App Troubleshooting
Food • Retail • Sales • Manufacturing
The Region Execution Lead oversees broker teams to ensure effective retail execution. Responsibilities include communication, training brokers, and performance measurement while fostering strong broker relationships.
Top Skills:
ExcelMs Office (OutlookPowerpoint)Word
What you need to know about the Toronto Tech Scene
Although home to some of the biggest names in tech, including Google, Microsoft and Amazon, Toronto has established itself as one of the largest startup ecosystems in the world. And with over 2,000 startups — more than 30 percent of the country's total startups — Toronto continues to attract new businesses. Be it helping entrepreneurs manage their finances, simplifying business operations by automating payroll or assisting pharmaceutical companies in launching new drugs, the city's tech scene is just getting started.
