Sr ML & AI Engineer

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    "description": "<h2>What's the role?</h2>\n<p> </p>As a \n<strong>Senior ML & AI Engineer</strong>, you play a key role in designing, building, and deploying machine learning and AI solutions that operate at scale. You contribute across the full lifecycle — from problem definition and model development to deployment and continuous improvement — while collaborating with cross‑functional teams to deliver reliable, high‑quality outcomes.Your work directly supports HERE’s mission to deliver intelligent, data‑driven location services used by customers worldwide. \n<strong>Key responsibilities include:</strong>\n<p> </p>\n<ul>\n <li><p>Deploy ML models into production environments</p></li>\n <li><p>Build scalable ML infrastructure and APIs</p></li>\n <li><p>Implement MLOps practices including model monitoring, retraining, and versioning</p></li>\n <li><p>Optimize model performance, latency, and scalability</p></li>\n <li><p>Design, develop, and optimize machine learning models for real-world applications</p></li>\n <li><p>Implement supervised, unsupervised, and deep learning algorithms</p></li>\n <li><p>Build pipelines for data preprocessing, feature engineering, model training, and evaluation</p></li>\n <li><p>Work with large datasets to develop predictive and generative models</p></li>\n</ul>\n<h2>Who are you?</h2>\n<p> </p>You are a collaborative engineer with strong problem‑solving skills and a passion for building practical AI solutions. You bring experience translating business or product needs into effective machine learning systems and enjoy working in a diverse, global environment. \n<ul>\n <li>Bachelor’s or Master’s degree in <strong>Computer Science, Machine Learning, AI, Data Science, or related field</strong></li>\n <li><strong>4+ years</strong> experience in machine learning engineering or AI development</li>\n <li>Strong programming skills in <strong>Python and Advance Sql.</strong></li>\n <li>Experience with ML frameworks such as:TensorFlow PyTorch,Scikit-learn.</li>\n <li>Experience with <strong>data processing and distributed computing</strong></li>\n <li>Experience deploying models using <strong>Docker, Kubernetes or terroform.</strong></li>\n <li><strong>Experience working with AWS services.</strong></li>\n <li>Solid understanding of: Machine learning algorithms, Deep learning, Model evaluation and optimization,Data structures and algorithms</li>\n</ul>\n<ul>\n <li><h3>What Do We Offer?</h3>\n  <ul>\n   <li>A collaborative and inclusive work environment</li>\n   <li>Opportunities to work on meaningful, real‑world problems at global scale</li>\n   <li>Continuous learning and professional growth through challenging projects</li>\n   <li>Flexible working arrangements supporting work‑life balance</li>\n   <li>Competitive compensation and benefits aligned with local market practices</li>\n  </ul> HERE is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, age, gender identity, sexual orientation, marital status, parental status, religion, sex, national origin, disability, veteran status, and other legally protected characteristics.</li>\n</ul>\n<h2>Who are we?</h2>\n<p> </p>HERE Technologies is a location data and technology platform company. We empower our customers to achieve better outcomes – from helping a city manage its infrastructure or a business optimize its assets to guiding drivers safely to their destinations.At HERE, we take it upon ourselves to be the change we wish to see. We create solutions that fuel innovation, provide opportunity, and foster inclusion to improve people’s lives. If you are inspired by an open world and driven to create positive change, join us. Learn more about us on our https://www.youtube.com/@HERETechnologies. Learn more about us on our YouTube Channel.\n<p> </p>\n<p> </p>\n<p></p>\n<p> </p>\n<p> </p>\n<strong>About the team:</strong>You will be part of a global engineering team focused on building scalable Machine Learning and AI solutions that power HERE’s next‑generation location platform. The team works closely with product, data, and platform partners to translate complex problems into impactful, production‑ready systems.\n<p> </p>",
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