About Modulai

Modulai is an opinionated, no-bullshit AI partner. We turn AI into real business impact — no fluff, just results.

Our mission is simple: solve real business problems with machine learning and AI.

We work across diverse projects — with global enterprises, early-stage startups, and our own in-house products. Our team is deeply collaborative, and we believe in learning through doing, sharing knowledge, and constantly pushing the boundaries of what ML can achieve.

Senior Machine Learning Engineer @ Modulai

As a Senior ML Engineer, you’ll play a key role in building state-of-the-art ML systems — and shaping the direction of projects from day one. You’ll collaborate with clients, mentor peers, and lead the development of ML/AI-based solutions from ideation through deployment.

This is a hands-on role focused on solving real business problems using smart engineering. You’ll either own delivery end-to-end or grow as a technical expert in a specific area of machine learning.

While ML is our foundation, AI engineering — particularly agentic systems — is an increasingly important area of focus at Modulai.

What You’ll Do

- Own end-to-end ML/AI project delivery (from ideation and discovery to deployment)

- Mentor and inspire peers within and across teams

- Collaborate closely with clients and internal stakeholders to define and execute solutions

- Perform data exploration, preprocessing, and feature engineering

- Develop and validate robust ML models for real-world use cases

- Design scalable data pipelines and infrastructure

- Contribute to Modulai’s internal knowledge base and strategic development

We strive to enable ourselves to grow in the direction we want - for some people this means getting deeper into the technical details while for others it means growing leadership skills.

What We’re Looking For

- MSc or PhD in a quantitative field (e.g., Computer Science, Mathematics, Physics)

- 5+ years of hands-on experience leading end-to-end ML projects/products

- Deep technical expertise in Python and modern ML/AI libraries (e.g.,

- PyTorch/TensorFlow, Transformers, LangChain, LangGraph)

- Strong understanding of ML infrastructure: deployment, monitoring, debugging, optimization

- Experience with distributed data tools (e.g., Spark, Dask, PySpark, Apache Beam)

- Excellent communication skills (written, verbal, presentations)

- Collaborative mindset: humble, curious, and eager to learn and share

- Ability to explain technical concepts clearly to engineers and non-engineers alike

Nice-to-Have

- Experience with GenAI and agentic software development

- Familiarity with vector databases (e.g., Pinecone, ElasticSearch, Redis)

- CI/CD, Kubernetes, and MLOps tooling

- Background in consulting or client-facing environments

- Product experience from idea to MVP and monetization

Why Join Modulai?

At Modulai, you won’t be the only expert in the room. Join a team of senior ML engineers who challenge and inspire each other. Whether you want to deepen your technical expertise or evolve as a leader, Modulai offers both an Individual Contributor Track and a Management Track.

- Work alongside other senior engineers in a high-caliber ML environment

- Lead meaningful projects without losing your hands-on technical edge

- Be part of a culture built on knowledge sharing, transparency, and mutual respect

- Stay close to the code—even as you grow in leadership

- Exposure to a wide variety of challenges, clients, and tech stacks

Additional Details

- You must be eligible to work in Sweden (we do not currently offer visa sponsorship)

- Weekly presence at our Stockholm or Gothenburg office is expected

- We welcome applicants from across Europe, but relocation to Sweden is expected over time

Interested?

We’d love to hear from you. Apply today and let’s build the future of ML together.