Machine Learning Engineer | Mid-Senior | Threat Intelligence | Poland remote

The world’s most advanced VPN, and a whole lot more. If you’re a curious problem-solver who carves their own path, join the team behind Threat Protection Pro, the NordLynx protocol, and the fastest VPN on the planet—tools that put privacy, security, and control back in people’s hands.Your impact? Helping millions take back control of their online security, privacy, and data. Main ResponsibilitiesDesign & implement machine learning models in production;Create infrastructure for data ingestion, cleaning, and transformation;Ensure scalability, reliability, and performance of deployed models & infrastructure;Work closely with cross-functional teams to integrate machine learning solutions into products and services;Document model development processes, experiments, and results for future reference and reproducibility.Core RequirementsDegree in Computer Science, Engineering, Mathematics, or a related field or equivalent work experience;2+ years of experience working as Machine Learning Engineer;Proven experience in Data Engineering, Software Development, DevOps, Machine Learning or a related field;Strong understanding and proficiency in Python programming language;Proven track record of deploying machine learning models in production environments with containerization and orchestration using Docker, Kubernetes, MLflow, etc.;Experience with machine learning frameworks and libraries like TensorFlow, PyTorch, HuggingFace, etc.;Experience with AWS services - RDS, Lambda, EC2, S3, EMR, SageMaker, etc.;Experience with version control systems and CI/CD pipelines;Experience developing scalable APIs;Familiarity with big data technologies like Hadoop, Spark, etc.;Good understanding of Computer Science fundamentals (algorithms, data structures, distributed computing, operating systems);Understanding of Machine Learning fundamentals;Strong problem-solving skills and ability to analyze complex problems, troubleshoot issues, and develop practical solutions;Ability to communicate problems and solutions with people from different technical backgrounds;Attention to detail, and ability to work independently and collaboratively in a fast-paced environment;Excellent verbal and written communication skills in English.Salary RangeGross Salary 17600 - 29900 PLN/Month.What We OfferInnovate with industry leadersWork alongside global experts to build world-leading cybersecurity tools, impacting millions of users around the world.Learn & growBoost your skills via our extensive training programs (online and offline) & other resources. Benefit from mentorship and career-switch opportunities to grow within the company. Hybrid workEnjoy the flexibility with 3 office days and working from home for the remaining 2.Work from anywhereRecharge with a change of scenery – choose work from any location when you feel a need to power your creativity and drive. Physical well-beingFuel your active lifestyle with online workouts led by our Physical Well-Being experts. Mental & emotional healthNurture your mind with free psychologist consultations, dedicated mental health events, and premium access to top-rated wellness apps like Calm, Headspace, and Mindletic.Premium healthcareReceive private health insurance giving you peace of mind for your health needs.Extra days offEnjoy additional vacation days off as you grow with us. Plus, get extra days for sick leave, special occasions, or parenting needs.Joyful moments – special treatsCelebrate life’s big moments with special gifts from us on your birthday, anniversary, and other major events, such as weddings or the arrival of a new family member. Company events & team-buildingExperience iconic Nord Security celebrations, team-buildings, and knowledge-sharing events, nurturing bonds that fuel our success.WorkationEmbark on a legendary company getaway abroad, filled with exciting activities, live concerts, engaging workshops, and epic time together.Kindly refer to our Privacy Notice for Recruitment Candidates for comprehensive information regarding our data handling procedures throughout recruitment processes: https://bit.ly/40GWyjLOriginally posted on Himalayas

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