Job Opportunities API

🌍 Hello World! We are The Codest - International Tech Software Company with tech hubs in Poland delivering global IT solutions and projects. Our core values lie in “Customers and People First” approach that prioritises the needs of our customers and a collaborative environment for our employees, enabling us to deliver exceptional products and services. Our expertise centers on web development, cloud engineering, DevOps and quality. After many years of developing our own product - Yieldbird, which was honored as a laureate of the prestigious Top25 Deloitte awards, we arrived at our mission: to help tech companies build impactful product and scale their IT teams through boosting IT delivery performance. Through our extensive experience with product development challenges, we have become experts in building digital products and scaling IT teams. But our journey does not end here - we want to continue our growth. If you’re goal-driven and looking for new opportunities, join our team! What awaits you is an enriching and collaborative environment that fosters your growth at every step. Project description: Our client is one of the largest e-commerce platforms in Europe, used by millions of users every day. The company connects sellers - from small businesses to global brands - with customers, offering a vast product selection, fast delivery, and a well-crafted shopping experience. The role: Ensure that the contractor team delivers high-quality ML Scoring solutions (e.g., click and conversion predictions) for Sponsored Offers on schedule, maintaining responsibility for the team's technical output and project milestones. Manage the training scope for deep learning models, including feature space definition and model lifecycle standards. Orchestrate the transition of scoring responsibilities from existing teams in cooperation with backend and product stakeholders. Provide expert insight to future roadmaps for the ML scope of Sponsored Offers. Specific skills and tools Machine Learning & Analytics: deep learning architectures, model training pipelines, feature engineering, model calibration, A/B testing, offline and online evaluation. Platforms & Infrastructure: Google Cloud Platform (Vertex AI, BigQuery, Cloud Storage), workflow orchestration, model artifact lifecycle management. Languages & Data: Python, Pytorch/Tensorflow, SQL, distributed data processing concepts (Dask/Spark). Leadership: team building, stakeholder communication, roadmap execution, and cross-functional delivery governance. 8+ years of experience in Machine Learning or Data Science roles in production environments. 2+ years of direct people management experience. Proven track record in leading end-to-end model training initiatives for business use cases. Strong practical expertise in the full model lifecycle: data preparation, feature engineering, training, evaluation, calibration, and controlled rollout. Hands-on proficiency in Python and SQL, with strong understanding of ML/deep learning frameworks (e.g., pytorch or tensorflow) and scalable data processing workflows. Experience operating ML workloads in cloud environments, preferably GCP (Vertex AI, BigQuery, Cloud Storage). Proven ability to drive cross-functional execution across ML, serving, and product domains, ensuring strategic alignment and performance visibility for Director-level stakeholders. Strong decision-making based on business impact metrics (revenue, GMV, conversion) and experimentation results. English level min. B2. Nice to have: Experience in AdTech, marketplace ranking, or recommendation systems at scale. Familiarity with model artifact repositories, CI/CD for ML, experiment tracking frameworks, and feature store integrations Exposure to online inference environments and cooperation with platform teams maintaining such services. Experience with developing pCTR/pCVR-like models. O