Machine Learning Engineer at BrainRocket
May no longer be active — verify on the employer site
At a glance
- Company
- BrainRocket
- Location
- Belgrade, Serbia
- Work arrangement
- On-site
- Employment type
- Full-time
- Experience
- 2–5 years
- Working hours
- 40 hours
- Visa sponsorship
- Offered, according to the listing
- Posted
- Added to The Stack
✨ The Stack take on this BrainRocket job
- 🏢 BrainRocket has 19 jobs here, 15 with visa sponsorship see all
Updated 2026-11-05, from our data and official sources.
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About the role
Responsibilities:
- Work on-site in the Belgrade office (relocation support available).
- Design, develop, train and fine-tune ML and deep learning models for gaming and CRM use cases.
- Build, test and maintain reliable, scalable data pipelines and feature stores (SQL, Spark, Airflow or equivalents).
- Collaborate with the Head of AI and product/engineering teams to turn prototypes into production systems.
- Implement MLOps best practices: CI/CD for models, containerisation, deployment, monitoring and model lifecycle management.
- Document experiments and present technical findings clearly to both technical and non-technical stakeholders.
Requirements:
- 3+ years in machine learning, applied AI, or data engineering with strong Python skills.
- Hands-on experience with PyTorch or TensorFlow and deploying models to production.
- Practical experience with data engineering tools (SQL, Spark, Airflow) and cloud platforms (AWS/GCP/Azure).
- Proven ability to design and operate CI/CD pipelines and production ML workflows.
- Strong problem-solving skills, autonomy, and good English communication.
- Nice-to-have: experience with Docker, Kubernetes, MLflow or W&B, transformers/LLMs (Hugging Face), and iGaming domain exposure.
Responsibilities
Develop, train, and fine-tune machine learning and deep learning models while building scalable data pipelines. Collaborate with cross-functional teams to deploy production-ready AI solutions and implement MLOps practices.
Requirements
Requires at least 3 years of experience in machine learning or data engineering with strong proficiency in Python and ML frameworks. Candidates must have hands-on experience with cloud platforms and expertise in deploying models to production environments.
Key skills
- Python — in 1200 other listings on The Stack
- PyTorch — in 92 other listings on The Stack
- TensorFlow — in 55 other listings on The Stack
- SQL — in 545 other listings on The Stack
- Spark — in 54 other listings on The Stack
- Airflow — in 95 other listings on The Stack
- AWS — in 802 other listings on The Stack
- GCP — in 169 other listings on The Stack
- Azure
- Machine learning
- Deep learning
- Data engineering
- MLOps
- CI/CD
- Transformers
- LLMs
Relocation terms mentioned in this listing
- relocation support
Quoted from the listing's text; confirm the details with BrainRocket.
On The Stack (as of 2026-11-05)
Frequently asked questions about BrainRocket
Is this Machine Learning Engineer role still open?
It was posted on 2026-04-02. Listings more than 30 days old may no longer be active, so check BrainRocket's site before applying.
Does BrainRocket offer visa sponsorship?
This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on BrainRocket's site.
Where is this role located?
The listing gives the location as Belgrade, Serbia. It is marked on-site.
What skills does this role ask for?
The listing names: Python, PyTorch, TensorFlow, SQL, Spark, Airflow, AWS, GCP, Azure, Machine learning, Deep learning, Data engineering, MLOps, CI/CD, Transformers, LLMs.