Machine Learning Infrastructure Engineer

the company is a division within NEXER GROUP - a custom software development company. We started in Poland in 2017 and are now a team of over 140 people. We have the opportunity to work with world-renowned brands from Scandinavia, the UK, and Western Europe. Our goal is to grow stronger, in competence rather than in numbers. If you like what we do, check out our offer, maybe we will have the pleasure of meeting you! 😊  

We are looking for a

Machine Learning Infrastructure Engineer to join a highly advanced drug discovery platform team working at the intersection of machine learning, large-scale data systems, and computational science. The team builds the core infrastructure that enables AI-driven drug design — processing massive biological and chemical datasets and running large-scale model training on high-performance computing systems.

The mission is to transform cutting-edge research models into reliable, scalable, production-grade systems that directly support the discovery of new medicines. This is a highly impactful environment where engineering excellence meets real-world scientific innovation in the life sciences domain.

 

We offer a choice of employment form: B2B or Employment Contract 

• UoP: 23 000 – 25 000 PLN gross/month

• B2B: 170 – 190 PLN net/hour + VAT
  
  

Responsibilities:

• Build and scale infrastructure for deploying ML models (e.g. GNNs, Transformers) in chemistry and structural biology domains;

• Productionize research-grade models into robust, scalable, and maintainable systems;

• Design and maintain cloud-native data architectures (BigQuery / Snowflake) for large-scale molecular datasets;

• Develop and orchestrate ML pipelines using tools such as Argo Workflows or Prefect;

• Implement and optimize distributed training and inference workflows using Ray / Anyscale;

• Contribute to development and deployment of predictive models within a computational drug discovery platform;

• Design and maintain LLM-based agentic systems supporting automated drug design workflows;

• Collaborate closely with ML infrastructure and research teams to ensure alignment between scientific needs and engineering standards.

 

You might be the perfect match if you are/have:

• 5+ years of professional experience in Machine Learning Engineering, Data Engineering, or ML Infrastructure roles;

• Strong proficiency in Python and its scientific ecosystem (NumPy, Pandas, PyTorch);

• Proven experience building and operating production-grade ML systems in cloud environments;

• Solid understanding of MLOps practices, including model registries, feature stores, CI/CD for ML, and deployment patterns;

• Hands-on experience with workflow orchestration tools such as Argo Workflows or Prefect;

• Strong experience with cloud data warehouses (BigQuery or Snowflake), including performance tuning and complex SQL optimization;

• Experience working in cloud-native environments (preferably GCP) and Kubernetes-based infrastructure;

• Familiarity with AI-assisted development workflows / coding agents used in production environments;

• Ability to communicate effectively with both engineering teams and scientific/research stakeholders.
  

Moreover, we appreciate skills in these areas:

• Background in cheminformatics (e.g. RDKit, molecular featurization) or computational biology;

• Experience with distributed computing frameworks such as Ray / Anyscale;

• Knowledge of agentic AI systems and LLM-based automation workflows;

• Experience in scientific, research-driven or high-performance ML environments.

By joining us, you gain the following: 

• Opportunity to work on exciting, international projects in cutting-edge industries like Automotive, Biotech, IoT; 

• Possibility to develop in cloud technologies;

• Becoming part of a team that believes that the next step to a promising future is to put your heart into it and make it happen; 

• Respect for your private life so you don't have to work overtime or on weekends; 

• Team Events budget to socialize outside of work; 

• Company Events to celebrate smaller and bigger successes (Summer Party, Programmer's Day, and trips abroad – so far we've been in South Africa, Are, and Barcelona). 

Perks and benefits: 

• Fully remote work or in our office in Wrocław; 

• Benefits such as Luxmed, Multisport, and life insurance in Nationale Nederlanden; 

• Attractive referral system (9,5k for senior, 6k for mid, 2,5k for junior); 

• Personal Training Budget with additional paid hours; 

• Passion Day - an extra day off for your hobby to spend as you please; 

• Flexible working hours with no micro-management approach. Our core hours are 9-15, the rest of the working time is up to you; 

• We provide high-quality work equipment + 2 additional monitors and accessories. 

  
  

   

If you apply for this position and match our expectations, then: 

1) You will be invited to an HR Screening with our IT Recruiter. 

2) You will have a technical interview. 

3) You will meet with a client. 

Submit your application online in one easy step! Apply now! 

 

You will earn:

• UoP: 14 100 – 16 600 PLN gross/month

• B2B: 100 – 130 PLN net/hour + VAT