AI Applications Engineer (Req ID: 2024-11)

Description

Company Overview:

About SS8 Networks: As a leader in Lawful and Location Intelligence, SS8 helps make societies safer. Our commitment is to extract, analyze, and visualize the critical intelligence that gives law enforcement, intelligence agencies, and emergency services the real-time insights that help save lives. Our high-performance, flexible, and future-proof solutions also enable mobile network operators to achieve regulatory compliance with minimum disruption, time, and cost. SS8 is trusted by the largest government agencies, communications providers, and systems integrators globally. 

Position: AI Applications Engineer

Location: onsite Milpitas, California (Hybrid)/remote in the United States

Job Description: 

SS8 is seeking a motivated Entry-Level AI Applications Engineer to join our team and help drive innovation in AI-powered intelligence systems. As an AI Applications Engineer, you will work on integrating and optimizing open-source Large Language Models (LLMs) into our suite of intelligence solutions. You will contribute to developing AI-driven features that enhance data analysis, pattern recognition, and actionable intelligence for our clients. This entry-level position is ideal for recent graduates or individuals with a passion for applying AI technologies to solve real-world challenges in intelligence and cybersecurity.

Key Responsibilities:

LLM Integration and Optimization

• Implement and fine-tune open-source Large Language Models for SS8's applications.
• Work with senior engineers to design scalable APIs and pipelines for LLM-based features.
• Optimize models for performance in resource-constrained environments.

AI-Driven Solutions Development

• Build AI-powered tools for data classification, natural language understanding, and predictive analytics.
• Collaborate with product teams to translate business requirements into technical solutions.

Data Engineering and Preprocessing

• Work with diverse datasets to prepare input for model training and inference. Use RAG frameworks to make advanced chat interfaces available to customers
• Assist in automating data pipelines to ensure data quality and availability.

Testing and Deployment

• Test, validate, and monitor the performance of deployed AI solutions.
• Debug and address issues in real-time deployments to ensure reliability.

Collaboration and Learning

• Partner with cross-functional teams, including software engineers, data scientists, and product managers.
• Stay current with the latest advancements in open-source LLMs and share insights with the team.

Experience: 

• Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
• Proficiency in Python and familiarity with AI/ML frameworks such as TensorFlow or PyTorch.
• Experience working with open-source LLMs (e.g., Hugging Face Transformers, OpenLLM, GPT models).
• Basic understanding of RESTful APIs and containerization (e.g., Docker, Kubernetes).
• Knowledge of data preprocessing and manipulation using libraries like Pandas and NumPy.
• Strong analytical and problem-solving abilities. 
• Excellent communication and teamwork skills. 
• Eagerness to learn and adapt to rapidly evolving technologies.

 Required Skills and Educational Background:

Educational Background: Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.

Technical Skills:

• Proficiency in Python and familiarity with AI/ML frameworks such as TensorFlow or PyTorch.
• Experience working with open-source LLMs (e.g., Hugging Face Transformers, OpenLLM, GPT models).
• Basic understanding of RESTful APIs and containerization (e.g., Docker, Kubernetes).
• Knowledge of data preprocessing and manipulation using libraries like Pandas and NumPy.

Soft Skills:

• Strong analytical and problem-solving abilities.
• Excellent communication and teamwork skills.
• Eagerness to learn and adapt to rapidly evolving technologies.

Preferred Qualifications:

• Familiarity with cybersecurity and intelligence applications.
• Exposure to cloud platforms like AWS, Azure, or Google Cloud.
• Experience contributing to or using open-source AI/ML projects.
• Understanding of MLOps practices and version control tools (e.g., Git).

Annual Base Pay Range (USD): $75,000 - $105,000

The successful candidate’s starting base pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The expected annual pay range for this role may be modified based on market conditions.

SS8 Networks Inc. is an Affirmative Action and Equal Opportunity Employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.