AI Engineer – GCP

This is a fully remote position, open to applicants in Poland.

📋 Description

• Oversee the creation, implementation, and validation of Machine Learning solutions, ensuring they align with project goals.

• Direct the design of AI solution architectures that fulfill intricate business objectives and promote innovation.

• Investigate, test, and select the most suitable tools and technologies, as well as AI solutions, to satisfy business needs.

• Lead and mentor cross-disciplinary teams, fostering collaboration and aiding in the development of individual skills.

• Comprehend client requirements and translate business challenges into data science tasks.

• Design and supervise the execution of data pipelines and workflows, establishing standards for data integrity and security.

• Collaborate with Data Engineering and Software Engineering teams to plan and manage the development of AI applications.

• Clearly and concisely present findings and recommendations to stakeholders.

• Prioritize and manage tasks within an Agile/Scrum environment, ensuring timely delivery.

⛳️ Requirements

• Over 6 years of professional experience in designing and implementing scalable AI solutions (Machine Learning, Predictive Modeling, Optimization, NLP, LLM, Computer Vision, GenAI).

• Proven track record in leading end-to-end Machine Learning projects and managing cross-functional teams.

• Expertise in developing ML algorithms from inception to production deployment.

• Strong programming capabilities in Python: adept at writing clean code, OOP design, and extensive knowledge of ML libraries (Scikit-Learn, PyTorch/Tensorflow).

• Demonstrated experience in deploying solutions within cloud environments - GCP.

• Background in collecting, analyzing, and monitoring LLM usage data, including token consumption, forecasting, anomaly detection, and optimization of AI workloads.

• Knowledgeable in applying LLMs (semantic search, prompt engineering, multimodal embeddings, RAG).

• High proficiency in English (C1 level).

• Outstanding communication skills and consulting experience with direct client interaction.

• Experience with SQL and NoSQL databases (MongoDB, Snowflake, Databricks).

• Familiarity with CI/CD principles (GitHub and GitHub Actions).

• Acquainted with MLOps practices, Kubernetes, and Docker.

• Bachelor's or Master’s degree in Computer Science, Data Science, Mathematics, Physics, or a related field.

• Experience with Big Data technologies such as Spark, Hadoop, and Kafka is an advantage.

🏝️ Benefits

• Work within a supportive team of passionate AI & Big Data enthusiasts.

• Collaborate with top-tier global enterprises and innovative startups on international projects.

• Enjoy flexible work options, allowing for remote work or from modern offices and coworking spaces.

• Accelerate your career growth through defined paths, knowledge-sharing opportunities, language classes, and sponsored training or conferences, including a partnership with Databricks that provides industry-leading training materials and certifications.

• Choose your preferred mode of cooperation: B2B or a contract of mandate, with the benefit of 20 fully paid vacation days.

• Engage in team-building activities and utilize the integration budget.

• Celebrate work anniversaries, birthdays, and other milestones.

• Access medical and sports packages, eye care, and well-being support services, including psychotherapy and coaching.

• Receive complete work equipment for optimal productivity, including a laptop and other necessary devices.

• With our support, enhance your personal brand by speaking at conferences, writing for our blog, or participating in meetups.

• Experience a seamless onboarding process with a dedicated buddy, and embark on your journey in our friendly, supportive, and autonomous culture.