Canada

(

remote

)

for this position

Position overview

Must have:

AWS, Azure, DevOps, GCP, Kubernetes, Linux, Machine Learning, Python, Terraform

Employment type:

B2B

Operating mode:

Remote

Location:

Canada

About deepsense.ai

At deepsense.ai, you won’t just build AI solutions – you’ll shape how companies around the world use them.

By joining us, you’ll:

• Work with partners like OpenAI, NVIDIA, Anyscale, LangChain, Crusoe, and ElevenLabs. Explore and- the newest tech: LLMs & RAG, MLOps, Edge Solutions, Computer Vision, Predictive Analytics.
• Tackle challenges in software & tech, pharma & healthcare, manufacturing, retail, telecoms & media.
• Contribute to open-source projects – just take a look at our latest solution, ragbits, an agentic RAG framework with over 1.6k stars on GitHub.

And the best part of working at deepsense.ai?

• Spread your wings with clear career paths, technical or leadership.
• Collaborate with 100+ AI experts with 15+ years of applied AI experience, as well as PhD-level researchers with academic backgrounds.
• Tap into domain expertise and knowledge sharing whenever you need it.

What we believe in?

• Team Strength – sharing and exchanging knowledge is key to our daily work
• Accountability – we take responsibility for the tasks entrusted to us so that ultimately the client receives the best possible quality
• Balance – we value work-life balance
• Commitment – we want you to be fully part of the team
• Openness – we don’t want you to be locked into one solution, we want to look for alternatives, explore new possibilities

Responsibilities

• designing, developing, and maintaining data pipelines (ETL/ ELTs).
• working with a variety of data sources (such as: streaming data, batch-data, data from production systems, data from ML models).
• ensuring the stability and performance of data pipelines, including monitoring and troubleshooting.
• collaborating with Data Scientists, Software Engineers, and other specialists to implement data-driven solutions.
• analyzing new potential data sources and integrating them to existing pipelines.
• assist DevOps/MLops in configuring system infrastructure in “Infrastructure as a Code” manner (including deployment of your code solution).
• assist ML engineers in deploying ML models to production environments.

You must have

• interest in the AI/ML area.
• good knowledge of Python and SQL.
• experience with any of the major SQL databases (PostgreSQL preferred).
• experience with cloud computing platforms (Azure/GCP/AWS).
• experience with containerization technologies (Docker/Kubernetes).
• experience with ETL and Big Data elements (Spark, Kafka, etc.).
• basic experience in DevOps (Terraform/CloudFormation/Pulumi).
• ability to work in a team and a proactive approach to problem-solving.
• experience with data-wrangling libraries such as Pandas or Polars.

You may have

• experience with Google BigQuery, Redshift/Glue/S3/Lambda/Athena.
• familiarity with Snowflake, Databricks.
• qny experience with data integration or orchestration platforms, such as: Airbyte, Fivetran, Airflow, Dagster, etc.
• experience with machine learning.

We offer

• opportunity to work on cutting-edge AI projects with a diverse range of clients and industries, driving solutions from development to production,
• collaborative and supportive work environment, where you can grow and learn from a team of talented professionals,
• an opportunity to participate in conferences and workshops around the world,
• an opportunity to participate in Tech Talks (internal training and seminar sessions),
• flexible working hours and remote work options.

We Offer

Impactful AI projects

• Tackle industry-grade challenges: from LLMs for drug discovery to GenAI on edge devices, AI voicebots, and open-source initiatives with global reach.
• Collaborate directly with our partners for early access to tools before public release, testing in production, and bringing know-how from AI leaders into our projects.
• Contribute to open-source initiatives like ragbits (1.6k+ stars on GitHub), adopted and appreciated by the ML community.

Growth & Knowledge Sharing

• Join AI specialists who share expertise through Tech Talks, workshops, and internal trainings.
• Present your work at conferences, run experiments, and stay ahead of the curve.
• Choose your own career path and get support for your development.

Flexibility & Culture

• Work fully remote, from one of our two offices (Warsaw, Bydgoszcz), or from coworking spaces in Poznań, Łódź, Wrocław, and Gdańsk.
• Enjoy flexible working hours.
• Benefit from a culture that prevents burnout and supports balance in daily work.
• Start with onboarding – from day one you are matched with a buddy.
• Get high-end equipment (laptops, dual monitors, pro peripherals).
• Access a premium AI development suite: OpenAI ChatGPT, Claude, Gemini Advanced, GitHub Copilot, Cursor AI IDE, Claude Code, NotebookLM, plus the latest emerging AI tools to support your daily work.
• Work in agile teams with fast decision-making and space to try out your ideas.

Basic Benefits

• Get private medical care and a Multisport card.
• Use our company library, attend onsite English lessons, and benefit from a dedicated training budget.
• Join free team lunches and enjoy fresh fruit & snacks.
• Take part in team-building activities and holiday celebrations.