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Information Technology 🏢 Full Time ⭐️ Terverifikasi

Senior AI/ML Engineer

InventoTech Solutions
San Francisco
Estimasi Gaji
USD 160.000 – USD 220.000
Live Update
20 Mei 2026
Batas Akhir
20 Mei 2027

Deskripsi Pekerjaan

<p>Are you a visionary Senior AI/ML Engineer ready to revolutionize industries with cutting-edge artificial intelligence? InventoTech Solutions is seeking an exceptional individual to join our dynamic team in the heart of San Francisco. At InventoTech, we're not just building products; we're crafting intelligent solutions that redefine possibilities.</p><p>As a Senior AI/ML Engineer, you will be instrumental in designing, developing, and deploying scalable machine learning models and AI-powered applications that solve complex real-world problems. You'll work alongside brilliant minds in a collaborative environment, leveraging the latest technologies to push the boundaries of what AI can achieve. If you're passionate about innovation, thrive on challenging projects, and aspire to make a significant impact, your journey starts here.</p><p>Join us and be part of a culture that fosters creativity, continuous learning, and groundbreaking achievements. InventoTech Solutions offers a vibrant workplace, competitive compensation, and unparalleled opportunities for professional growth. Elevate your career and contribute to a future powered by intelligent technology.</p>

Tanggung Jawab

  • &lt;ul&gt;&lt;li&gt;Architect, design, develop, and deploy robust, scalable, and high-performance machine learning models and AI systems.&lt;/li&gt;&lt;li&gt;Lead the end-to-end lifecycle of AI/ML projects, from research and prototyping to production deployment and monitoring.&lt;/li&gt;&lt;li&gt;Collaborate with cross-functional teams (data scientists, software engineers, product managers) to integrate AI solutions into core products.&lt;/li&gt;&lt;li&gt;Evaluate and implement state-of-the-art AI/ML techniques, frameworks, and tools to optimize model performance and efficiency.&lt;/li&gt;&lt;li&gt;Mentor junior engineers, foster best practices, and contribute to the growth of our AI/ML engineering capabilities.&lt;/li&gt;&lt;li&gt;Conduct rigorous experimentation, analysis, and validation to ensure model accuracy, reliability, and fairness.&lt;/li&gt;&lt;li&gt;Optimize existing machine learning pipelines for performance, scalability, and cost-effectiveness.&lt;/li&gt;&lt;li&gt;Stay abreast of emerging trends and advancements in AI, machine learning, and related fields to drive continuous innovation.&lt;/li&gt;&lt;/ul&gt;

Kualifikasi

  • &lt;ul&gt;&lt;li&gt;Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.&lt;/li&gt;&lt;li&gt;5+ years of hands-on experience in developing and deploying AI/ML models in a production environment.&lt;/li&gt;&lt;li&gt;Proficiency in Python and strong experience with AI/ML frameworks such as TensorFlow, PyTorch, or JAX.&lt;/li&gt;&lt;li&gt;Solid understanding of machine learning algorithms, deep learning architectures, and statistical modeling.&lt;/li&gt;&lt;li&gt;Experience with cloud platforms (AWS, GCP, Azure) and MLOps practices for model deployment, monitoring, and scaling.&lt;/li&gt;&lt;li&gt;Strong problem-solving skills and the ability to translate complex business challenges into AI/ML solutions.&lt;/li&gt;&lt;li&gt;Excellent communication and collaboration skills, with a proven track record of working effectively in cross-functional teams.&lt;/li&gt;&lt;li&gt;Experience with large-scale data processing technologies (e.g., Spark, Hadoop) is a plus.&lt;/li&gt;&lt;/ul&gt;

Keahlian yang Dibutuhkan

AI Machine Learning Deep Learning Python TensorFlow PyTorch JAX MLOps AWS GCP Azure Data Science Artificial Intelligence ML Engineering Scikit-learn Docker Kubernetes Spark

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