Senior AI Engineer

3 hours ago

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AppOmni

WebsiteLinkedInAll Job Openings

Cloud Security • SaaS Security • SaaS Compliance • SSPM • SaaS Security Management

51 - 200 employees

☁️ SaaS

🔒 Cybersecurity

🏢 Enterprise

💰 Series C on 2022-12

Description

•We are seeking a talented and motivated Senior AI Engineer to join our team and play a key role in the company’s AI strategy. •Your contributions will focus on data exploration, data science, data analytics, and backend code. •Design and develop models: Use tools like Langchain, Scipy, Pandas, scitkit-learn, PySpark, TensorFlow, Keras, and PyTorch to create scalable models that drive automation and insights. •Build data pipelines: Handle large datasets to ensure data is processed and ready for model training and collaborate in the platform data pipeline. •Select and implement algorithms: Choose the right algorithm for the problem and data at hand. •Identifying patterns and correlations: Use data modeling and evaluation skills to predict properties of new instances. •Research and develop solutions: Use data-driven solutions to address complex business problems. •Analyze and interpret data: Assess and interpret data to gain insights. •Clean, preprocess, and extract features: Learn how to handle missing values, normalize data, and select the most relevant features. •Evaluate and test: Develop metrics to assess the performance of models and generated content, including subjective and objective measurables. •GenerativeAI: Implement GenAI (LLM) where applicable including choosing models, defining prompt, and examples. •Integration with applications: Integrate Machine Learning and generative AI models into existing systems. •Translate stakeholder requirements into technical solutions: Understand the requirements of stakeholders and translate them into technical solutions.

Requirements

•At least 5 years of experience in new product development, ideally with a background in Software Engineering. •At least 3 years of experience in Machine Learning. •Strong programming skills: Proficiency in coding Python for production implementation, including coding best practices, testing, and performance considerations, with a deep understanding of libraries like Pandas, PySpark, TensorFlow, PyTorch, Keras, and Langchain. •Degree in a relevant field such as Engineering, Computer Science, Data Science, Machine Learning, or a related quantitative discipline. •Experience in data exploration and data science in large data sets. •Experience using a variety of machine learning algorithms in large data sets. •Experience implementing Generative AI. •Experience in security engineering or another complex domain. •Excellent communication and collaboration skills to work effectively with Product, Engineering, Field, and other cross-functional teams. •Experience in Cloud computing: Experience with cloud platforms like AWS, Azure, or GCP for model training and deployment. •Usage of Software engineering practices: Version control, code review, and software design principles.

Benefits

•Base Salary: The annual base salary compensation range in the U.S. for this role is: $142,800.00 - $196,350.00 USD. •Stock Options: Our vision is to not just grow as a company but to grow together. •Benefits: The many benefits of employment with AppOmni include working remotely, new hire home office / computer equipment stipend, generous paid time off, paid company holidays, paid floating holidays, paid parental leave, paid sick time and paid family leave for applicable states, health insurance - medical, dental, and vision with HSA option, LifeWorks Employee Assistance Program, company-provided life insurance, AD&D, STD/LTD and additional supplemental life insurance options, 401(k) and Roth retirement saving accounts, and a monthly wellness benefit reimbursement.