Machine Learning Engineer-Remote

Machine Learning Engineer

About Us: We are a Harvard University spinout redefining the landscape of artificial intelligence. Our CEO, a renowned innovator with two successful $10B+ company exits, leads a team of world-class AI experts and visionaries. We are at the forefront of developing cutting-edge SaaS solutions that revolutionize how businesses leverage AI. Our work is driven by creativity, ambition, and a relentless pursuit of innovation.

The Role: We are seeking an experienced Machine Learning Engineer with expertise in deploying and optimizing machine learning models, particularly in production environments. As a key member of our engineering team, you will be responsible for designing and implementing scalable ML solutions that drive our AI-powered SaaS products. Your work as a Machine Learning Engineer will directly influence the real-world application of AI technologies, helping shape the future of businesses across various industries.

Key Responsibilities:

• Design, build, and deploy scalable machine learning systems and pipelines.
• Optimize model performance and ensure seamless integration into production environments.
• Collaborate with data scientists and cross-functional teams to implement machine learning algorithms.
• Maintain and enhance our existing ML infrastructure to support continuous delivery and automation.
• Identify and troubleshoot issues in model accuracy, scalability, and performance.
• Contribute to the development of new AI-driven features for our SaaS products.
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Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, AI, or a related field (or equivalent experience).
• 3+ years of experience in designing and deploying machine learning models in production environments.
• Strong proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Experience with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes).
• Familiarity with data processing tools (e.g., Spark, Pandas) and version control (Git).
• Excellent problem-solving and communication skills.
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Why Join Us?

• Work alongside AI pioneers and industry leaders.
• Access to state-of-the-art research facilities and resources.
• Competitive salary, equity packages, and comprehensive benefits.
• Flexible work arrangements and a focus on work-life balance.
• Opportunity to shape the future of AI and make a global impact.
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If you are passionate about AI and want to be part of a groundbreaking team, we invite you to apply for the Machine Learning Engineer position today!