Location: 100% remote

Employee Location: India

Role: Machine Learning

Job Type: Full-Time

Working hours: India hours primarily (with overlap with US time zones for internal/customer interactions)

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About Us:

prezent.ai is a presentation productivity platform designed for enterprise teams. Our unique AI-powered platform enhances team presentation productivity by combining audience empathy, business acumen, and beautiful design. With our platform, individuals can now create well-structured, hyper-personalized, and company-branded presentations in a fraction of the time it used to take. Teams can standardize content, instantly distribute presentations, and improve team communication. To learn more, please visit https://www.prezent.ai/.

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Founded in 2021 by Rajat Mishra, a former senior tech executive turned entrepreneur with a vision to automate presentations and democratize excellent business communication. We believe in providing everyone with a fair chance to bring their ideas to life. Our platform simplifies and automates various communication-related challenges within enterprises. We have a $20M Series A funding from Greycroft and supported by WestWave Capital and Emergent Ventures.

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Job Description:

We are seeking a skilled and motivated Machine Learning Engineer with experience in developing and deploying machine learning models within a SaaS environment. The ideal candidate will have a strong background in machine learning algorithms, data analysis, and software development, along with the ability to work collaboratively with cross-functional teams to deliver high-quality, scalable solutions.

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Key Responsibilities:

• Design, develop, and deploy machine learning models and algorithms to solve business problems and enhance our SaaS products.
• Experience working with Multi-modal LLMs like Claude, Gemini, Llama
  Collaborate with data scientists, software engineers, and product managers to integrate machine learning solutions into our platform.
• Analyze and preprocess large datasets to extract meaningful features and insights.
• Optimize and maintain machine learning models to ensure high performance and scalability.
• Conduct experiments and perform rigorous testing to validate model accuracy and effectiveness.
• Stay up-to-date with the latest advancements in machine learning and AI technologies, and apply them to improve our products.
• Document processes, models, and workflows for effective knowledge sharing and future reference.

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Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field.
• Proven experience as a Machine Learning Engineer or similar role, preferably in a SaaS environment.
• Strong programming skills in Python with a focus on machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Proficiency in data analysis and manipulation using tools such as pandas, NumPy, and SQL.
• Familiarity with version control systems (e.g., Git) and collaborative development workflows.
• Excellent problem-solving skills and the ability to work independently as well as part of a team.
• Strong communication skills, both written and verbal, with the ability to explain complex concepts to non-technical stakeholders.

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Preferred Qualifications:

• Experience with Fine-tuning Open Source Large Language Models
• Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and deploying machine learning models in a cloud environment.