Senior Machine Learning Engineer

November 25

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intive

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Artificial Intelligence • Automotive • Financial Services

intive is a company that crafts digital experiences through smart solutions for complex problems. With a presence in 14 countries and over 2,000 employees, intive offers technologically advanced solutions tailored for personalized experiences. The company specializes in a variety of areas including Artificial Intelligence, Cloud, Design, Embedded Software, Web & Mobile Solutions, and Quality Assurance. They have expertise in industries such as Automotive & Mobility, Commerce, Financial Services, Healthcare & Life Sciences, and Media & Communication. Intive is recognized for its ability to blend different ecosystem parts to create seamless experiences, and it has received 13 design awards for its work.

1001 - 5000 employees

Founded 2003

🤖 Artificial Intelligence

📋 Description

• Designing, developing, and maintaining end-to-end machine learning solutions — from data ingestion and feature engineering to training, evaluation, and production deployment. • Building scalable ML infrastructure and data pipelines to support real-time and batch inference at scale. • Collaborating with product managers, data scientists, and software engineers to integrate ML models into customer-facing applications. • Applying best practices in MLOps to ensure reliability, reproducibility, and monitoring of ML systems in production. • Leveraging cloud platforms (primarily AWS) and IaC tools (e.g. Terraform) to deploy and manage ML infrastructure. • Working with modern ML tooling such as feature stores, model registries, orchestration frameworks (e.g. Airflow), and vector databases. • Exploring and applying advanced techniques including LLMs, embeddings, and recommendation systems to solve real-world business problems. • Mentoring team members and contributing to the improvement of engineering and ML practices across the organization.

🎯 Requirements

• Proven experience working across the entire ML lifecycle: data pipelines, model training, and serving • Strong programming skills in Python or Golang • Hands-on experience with ML infrastructure components such as feature stores, model registries and vector databases (e.g. Weaviate, Pinecone) • Experience with Model inference in real-time and batch settings • Knowledge of Cloud platforms (especially AWS) • Experience with Infrastructure as code tools like Terraform • Knowledge of ML platforms like SageMaker, Orchestration frameworks (e.g. Airflow) and Big data systems (e.g. Databricks) • Familiarity with LLMs, embedding-based retrieval, and recommendation systems is a plus • Comfortable collaborating with cross-functional teams to ship ML-powered product features.

🏖️ Benefits

• Remote Work, Flexibility & Balance – Hybrid work. You are welcome but not required at our offices. • flexible benefits (pyszne.pl vouchers, mobile phone, data subscription by modem or cash benefit). • You choose your contract type (UoP or B2B). • Performance management – regular partnership meetings between each employee and his manager. • You can create a career path based on your goals. • We provide training, mentoring, and support to help you along the way. • Training & Mentorship – Learning and Development is a big part of our company culture. • access to a training budget, language classes, internal courses, and training. • Chapters – you will join a community of intivers sharing the same professional profile. • Culture & Connection – We cultivate connections within teams, across functions, and up and down the org chart. • bonding events for our employees and their children. • strong CSR. • Medicover + More Smile Package, Multisport, Group Insurance, Sport Subsidy.