Machine Learning Engineer

Hi there! 

We are STX Next, a global IT consulting company specializing in customer-focused software services. Join a group of 500 professionals dedicated to helping customers build outstanding products. Leveraging the latest advancements in the field, and a passion for innovation, we're shaping the future of technology one project at a time.

Are you the NEXT one? 

Type of contract

A B2B contract for your flexibility and competitive compensation package

Location

A remote work model encouraging work-life balance.

Job description

At STX Next, we build ML solutions that go into real production use: from classical tabular modelling, through vision computing and predictive maintenance, to ML systems enhanced with LLMs. We’re looking for an ML Engineer who can handle the entire process — from data work and modelling to deployment. We work in a remote-only model, in a team of experienced engineers where autonomy, technical reliability, and responsible decision-making matter.

Responsibilities

• Building ML models: classification, regression, clustering, tabular ML.

• Working with data: preparation, analysis, feature engineering, validation.

• Projects involving vision computing, predictive maintenance, and time series.

• Implementing models as APIs and integrating them with client systems.

• Designing ML architectures end-to-end.

• 10–20% research — as needed, but the job is primarily delivery.

• Opportunity to expand into LLM/RAG, if desired.

Requirements

• Production-level Python (clean code, typing, tests, solid architecture).

• At least one commercially deployed ML project.

• Strong knowledge of:- Pandas, Numpy,- scikit-learn, - at least one DL framework (PyTorch or TensorFlow).

• Ability to run the full ML lifecycle:  Data analysis → Modelling → Deployment → Monitoring basic metrics.

• SQL knowledge sufficient for analytics and basic transformations.

• Basic familiarity with cloud (AWS/GCP/Azure).
  Nice to have:

• Experience with CV or time series forecasting.

• Basic MLOps (Docker, MLflow, Airflow, DVC).

• Basic LLM/RAG knowledge.

• Vector databases, HF, Wandb.
  This role is for you if:

• You work independently and close projects reliably.

• You can design ML architectures.

• You’re not afraid to ask questions or consult when needed.

• You prefer building models that reach production instead of sitting in “experiments”.

• You choose pragmatic solutions over unnecessary complexity.

Benefits

Work-life Balance

We are open to discussing individual needs. Set up working hours and limited remote work scheduled with your team and manager, in a way that works for both sides.

Reimbursed private medical care (Medicover) and Multisport

We care about the health and well-being of our colleagues. Choose a sports card and dedicated medical care for yourself and your relatives.

Leader’s support

Work with true enthusiasts and professionals who will support you along the way. You can count on leaders and experts who are willing to share their knowledge so that you too can join their ranks someday.

Technology focus

Python and JavaScript are not our only strengths, we are also very good at React Native, IoT, Machine Learning, .Net, DevOps and Blockchain.

Growth review

Junior, Regular or Senior? Every year we have a chance to discuss acquired skills and prepare a development plan for upcoming months.

Events

Attend exciting internal webinars, celebrate special days with us, and join us at conferences and meetups as a listener or speaker!

Workation

Team trips where you have a chance as a team not only to work together, but also integrate f2f.