Senior Ai Engineer

Summary

Join AppOmni as a Senior AI Engineer and play a key role in shaping our AI strategy. This impactful role involves collaborating with various teams to implement AI applications across our platform. You will focus on data exploration, analysis, and building scalable AI models using various tools and technologies. Responsibilities include designing and developing models, building data pipelines, selecting algorithms, identifying patterns, and integrating AI models into existing systems. The ideal candidate possesses extensive experience in machine learning, strong programming skills in Python, and experience with cloud computing platforms. AppOmni offers a flexible, remote-first work environment and a comprehensive benefits package.

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

Responsibilities

• Design and develop models using 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, including the specific AI code and other Python code as needed
• Build data pipelines to handle large datasets, ensuring data is processed and ready for model training and collaborating in the platform data pipeline
• Select and implement the right algorithm for the problem and data at hand
• Identify patterns and correlations using data modeling and evaluation skills to predict properties of new instances
• Research and develop data-driven solutions to address complex business problems
• Analyze and interpret data to gain insights
• Clean, preprocess, and extract features, handling missing values, normalizing data, and selecting the most relevant features
• Evaluate and test models and generated content, developing metrics to assess performance, including subjective and objective measurables
• Implement Generative AI (LLM) where applicable, including choosing models, defining prompts, and examples
• Integrate Machine Learning and generative AI models into existing systems
• Translate stakeholder requirements into technical solutions

Preferred Qualifications

• 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

• Remote work
• 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
• Monthly wellness benefit reimbursement
• Stock Options
• Base Salary: $142,800.00 - $196,350.00 USD