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 with the latest advancements 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, and 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: Flexible working hours and remote work options.
• Reimbursed private medical care (Medicover) and Multisport card.
• Leader’s support: Work with true enthusiasts and professionals who will support you along the way.
• Technology focus: Expertise in Python, JavaScript, React Native, IoT, Machine Learning, .Net, DevOps, and Blockchain.
• Growth review: Annual discussions for skill development and a personal development plan.
• Events: Internal webinars, celebrations, conferences, meetups.
• Workation: Team trips for work and social integration.

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