AI / Machine Learning Software Engineer

Talanto; Warszawa; Hybrid; PLN 232,000 - 290,000; Full time

Benefits offered by this job

Competitive remuneration

Long-term cooperation

Remote recruitment

Job summary

Talanto is seeking an experienced AI/ML Software Engineer to join a technology project focused on designing, developing, and productionizing AI and Machine Learning solutions.

This role combines strong software engineering with practical ML expertise, building scalable applications and taking AI solutions into production. You will work on ML lifecycle, data processing, API development, and cloud deployments in a remote, full-time, B2B setting.

Qualifications

• Hands-on experience with Machine Learning and building ML-based solutions.
• Experience with ML frameworks such as PyTorch, TensorFlow and/or scikit-learn.
• Experience deploying and integrating ML models into production applications.
• Good understanding of software engineering principles, clean code, testing and application architecture.
• Experience developing REST APIs / backend services.
• Knowledge of Docker and containerized applications.
• Experience with Kubernetes.
• Knowledge of MLOps concepts and tools, including model deployment, monitoring and CI/CD.
• Experience with at least one major cloud platform (AWS, Azure or GCP).
• Experience working with SQL and data-processing technologies.
• Familiarity with Git and CI/CD.
• Very good command of English.

Responsibilities

• Designing and developing AI and Machine Learning solutions for production environments.
• Building scalable software components and services integrating ML models.
• Developing and maintaining applications and APIs using Python.
• Implementing the complete ML lifecycle: data preparation, model development, evaluation, deployment and monitoring.
• Productionizing Machine Learning models and integrating them with existing systems.
• Developing MLOps pipelines for training, deployment and monitoring.
• Working with large datasets and data-processing frameworks.
• Containerizing and deploying AI/ML applications using Docker and Kubernetes.
• Working with cloud environments and cloud-native services.
• Ensuring code quality through testing, code reviews and software engineering best practices.
• Monitoring model and application performance in production.
• Collaborating with Data Scientists, Data Engineers, Software Engineers and other technical stakeholders.

Skills

Machine Learning

Python

PyTorch

TensorFlow

scikit-learn

REST APIs

Docker

Kubernetes

SQL

Git

CI/CD

English

Cloud platforms

Tools

Docker

Kubernetes

Job description

20,800 – 26,000 PLN

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Currently, we are looking for an experienced AI / Machine Learning Software Engineer to join a technology project focused on designing, developing, and productionizing AI and Machine Learning solutions.

The role combines strong software engineering skills with practical Machine Learning expertise. We are looking for someone who can not only develop ML models but also build reliable, scalable applications and services around them and bring AI solutions into production.

Project information

Remuneration: 150 PLN net +VAT/h

Location: 100% remote

Employment type: B2B

Working model: Full-time

Recruitment process: Remote

Your responsibilities

Designing and developing AI and Machine Learning solutions for production environments

Building scalable software components and services integrating ML models

Developing and maintaining applications and APIs using Python

Implementing the complete ML lifecycle: data preparation, model development, evaluation, deployment and monitoring

Productionizing Machine Learning models and integrating them with existing systems

Developing MLOps pipelines for training, deployment and monitoring

Working with large datasets and data-processing frameworks

Containerizing and deploying AI/ML applications using Docker and Kubernetes

Working with cloud environments and cloud-native services

Ensuring code quality through testing, code reviews and software engineering best practices

Monitoring model and application performance in production

Collaborating with Data Scientists, Data Engineers, Software Engineers and other technical stakeholders

Requirements

Hands-on experience with Machine Learning and building ML-based solutions

Experience with ML frameworks such as PyTorch, TensorFlow and/or scikit-learn

Experience deploying and integrating ML models into production applications

Good understanding of software engineering principles, clean code, testing and application architecture

Experience developing REST APIs / backend services

Knowledge of Docker and containerized applications

Experience with Kubernetes

Knowledge of MLOps concepts and tools, including model deployment, monitoring and CI/CD

Experience with at least one major cloud platform (AWS, Azure or GCP)

Experience working with SQL and data-processing technologies

Familiarity with Git and CI/CD

Very good command of English

Nice to have

Experience with Spark / PySpark

Experience with Cloudera

Knowledge of Apache Iceberg

Experience with distributed data processing and large-scale datasets

Experience with Generative AI / LLMs, RAG or AI agents

We offer:

Competitive B2B remuneration

Long-term cooperation in an international technology project

Opportunity to work on advanced AI and Machine Learning solutions

Participation in projects using modern cloud and MLOps technologies

Cooperation with experienced Data Science, ML and Software Engineering teams

Opportunity to develop expertise in production-grade AI/ML systems

Remote recruitment process