AppOmni · 17 hours ago
Senior AI Engineer
United States
Full-time
Remote
Senior Level
$143K/yr - $196K/yr
5+ years exp
Maximize your interview chancesCloud ManagementCloud Security
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Responsibilities
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 the backend necessary to handle the AI pipeline: this will include the specific AI code and other Python code as needed.
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.
Qualification
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Required
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.
Preferred
Problem-solving and critical thinking, ability to analyze complex problems, identify potential issues, and develop innovative solutions.
Experience in security engineering or threat detection.
Experience with Apache Airflow.
Experience with DataBase and DataWarehouse (PostGres, BigQuery).
Strong self-management skills, able to prioritize tasks and manage time effectively.
A proactive approach to work and the ability to take initiative.
Thrives on solving challenging, multifaceted problems.
Experience with GCP tools such as VertexAI, DataFlow, BigQuery, and DataProc.
Benefits
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
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
Monthly wellness benefit reimbursement
Company
AppOmni
AppOmni SaaS security helps security and IT teams protect and monitor their entire SaaS environment, from each vendor to every end-user.
201-500 employees
Funding
Current Stage
Growth StageTotal Funding
$123MKey Investors
The Syndicate GroupCisco InvestmentsThoma Bravo
2022-12-14Series C
2022-08-09Series Unknown
2022-06-06Series C· $70M
Leadership Team
Brian Soby
CTO and Co-Founder
Neill Occhiogrosso
Chief Operating Officer
Recent News
2024-11-08
AppOmni and Cisco Partner to Extend SaaS Security with End-to-End Zero Trust From Endpoint to the Application
2024-11-07
Company data provided by crunchbase
