Solve complex
problems
Apply your skills to challenges involving data, models, infrastructure and integration. Connect technical decisions with the business needs behind them.
Career at Zentavor
Build your next
Build your next
career chapter
in AI & data
Join Zentavor to apply your expertise to complex business challenges. We’re looking for experienced AI and data professionals who bring technical depth, a practical approach to problem-solving and a commitment to quality
Machine learning · Data engineering · Data modeling · Language AI
Your next step
in AI & data
4 core roles
Priority areas for hiring
Mid-level +
Experienced professionals
English B2+
Clear project communication
Working at Zentavor
Your expertise.
Your expertise.
Real business applications.
Zentavor develops AI and data solutions for enterprise clients and connects experienced specialists with client teams through dedicated talent engagements.
Depending on the opportunity, you may contribute to a Zentavor delivery team or work as an embedded specialist within a client’s engineering organization.
Our focus is practical: building systems that work in production and help businesses improve how they operate.
Solve complex
Bring depth
to the team
Contribute specialist knowledge, discuss technical trade-offs and work with people who understand the demands of enterprise delivery.
Work across the AI
and data lifecycle
Explore opportunities spanning data foundations, machine learning and language AI, with responsibilities shaped by each project.
Machine Learning Engineer
Build machine learning solutions that connect experimentation with reliable production systems.
Your contribution
- Develop, evaluate and improve models for business use cases
- Prepare data and build reproducible training and evaluation workflows
- Integrate models into applications and services
- Support deployment, monitoring and ongoing model improvement
Relevant expertise
- Python
- SQL
- pandas
- NumPy
- scikit-learn
- Jupyter / JupyterLab
- Git
- Azure / AWS
- PySpark
- FastAPI
- Pydantic
- Docker
- MLflow / MLOps tools
- PyTorch / TensorFlow
- Kubernetes
- Azure DevOps
- CI/CD pipelines
Data Engineer
Build the data pipelines and platforms that support analytics, machine learning and everyday business operations.
Your contribution
- Develop and maintain batch and streaming data pipelines
- Integrate data from multiple business systems and sources
- Build reliable data foundations for analytics and AI
- Improve data quality, pipeline observability and platform performance
Relevant expertise
- AWS
- Azure
- Apache Spark / PySpark
- Kafka / Amazon MSK / Confluent
- Amazon S3
- Delta Lake / Apache Iceberg
- dbt
- Apache Airflow
- Great Expectations
- Terraform
- Amazon Redshift / Athena
- Microsoft Power Platform / Dataverse
- SAP
- Datadog / Amazon CloudWatch
- GitHub Actions
- Amazon Timestream
Data Modeler
Turn complex business requirements into clear, consistent data structures that teams can use and maintain.
Your contribution
- Translate business concepts into conceptual, logical and physical data models
- Define entities, relationships and modeling standards
- Collaborate with engineering and business teams to align data structures with their intended use
- Maintain model documentation and support changes as requirements evolve
Relevant expertise
- ER/Studio / similar tools
- SQL
- Azure
- Database technologies
- Conceptual / logical / physical data modeling
- Python
- PySpark
NLP / LLM Engineer
Build language AI applications that make enterprise information more accessible and support useful automation.
Your contribution
- Develop applications using large language models and NLP techniques
- Build retrieval and RAG workflows for enterprise knowledge
- Design agent workflows, tool integrations and application APIs
- Evaluate output quality and improve reliability, observability and performance
Relevant expertise
- Python
- SQL
- Git
- OpenAI API
- LangChain
- LlamaIndex
- Pinecone / Weaviate / Chroma
- OpenAI embeddings / Sentence Transformers
- Hugging Face Transformers
- Prompt engineering
- RAG
- FastAPI
- Pydantic
- Docker
- Azure / AWS
- pandas
- NumPy
- spaCy
- REST API design
- Streaming / async patterns
- CI/CD pipelines
- LangSmith
- Weights & Biases
- Arize
- LoRA / QLoRA
- Agent frameworks
- Function calling
Other data-related opportunities
Your expertise may not fit neatly into one title. If you have a strong background in data or AI, send us your CV and tell us where you can contribute. We’re interested in relevant experience beyond the priority roles listed above.
Share your profile
A strong match
What we’re looking for
Mid-level and above
Hands-on professional experience in your area of expertise, with the ability to explain your decisions and take responsibility for your work.
English at B2 level or above
The ability to discuss technical topics, communicate with colleagues and clients, and work with project documentation in English.
Relevant technical depth
Experience with the technologies and engineering practices relevant to your specialization. The specific stack depends on the opportunity.
A practical approach
An understanding of how technical work supports a business objective, alongside clear communication and careful attention to quality.
Let’s talk
Your next role
Your next role
could start here
Interested in one of our priority areas? Send your application to our talent team
Don’t see an exact match? Use Open application — [Your name] and tell us about your specialization
What to include
- Your current CV
- The role or area you’re interested in
- Your current location
- Your gross compensation expectations, including the currency and whether the amount is annual, monthly or hourly
- An optional short introduction about your experience and the work you’d like to do next
Suggested email subjectApplication — [Role] — [Your name]