AI Engineer

Overview

We are seeking a dynamic and innovative AI Engineer to join our forward-thinking technology team. In this role, you will leverage cutting-edge machine learning frameworks, statistical modeling, and big data systems to develop, evaluate, and deploy advanced AI models. Your expertise will drive the creation of scalable AI solutions that transform complex data into actionable insights, enabling smarter decision-making across various business functions. This position offers an exciting opportunity to work with state-of-the-art cloud services, natural language processing, generative AI, and large-scale data analytics to shape the future of intelligent systems.

Duties

• Design, develop, and implement machine learning and AI models using frameworks such as TensorFlow and other machine learning tools.
• Conduct statistical analysis and modeling to support research initiatives and predictive analytics projects.
• Build and optimize big data systems utilizing Hadoop, Spark, and ETL processes for efficient data ingestion and processing.
• Develop scalable AI solutions leveraging cloud-based machine learning services on platforms like AWS.
• Collaborate with data engineers to design robust database architectures and SQL databases for storing and retrieving large datasets.
• Evaluate model performance through rigorous testing, validation, and deployment strategies to ensure accuracy and scalability.
• Implement natural language processing techniques for applications involving text analysis, chatbots, or language understanding.
• Utilize statistical analysis tools such as SAS or R to extract insights from complex datasets for research purposes.
• Integrate AI models into production environments ensuring seamless deployment, monitoring, and maintenance.
• Engage in data mining activities using Talend or similar tools to uncover hidden patterns that inform strategic decisions.

Skills

• Proficiency in programming languages including Python, Java, C, VBA, Bash (Unix shell), with a focus on AI/ML development.
• Extensive experience with machine learning frameworks such as TensorFlow, Spark MLlib, and other related tools.
• Strong knowledge of big data systems including Hadoop ecosystems and Spark implementation for large-scale data processing.
• Hands-on experience with cloud-based machine learning services on AWS or similar platforms for scalable AI solutions.
• Expertise in statistical modeling techniques and statistical analysis tools like SAS or R for research-driven insights.
• Familiarity with database design principles and SQL databases for efficient data storage and retrieval.
• Knowledge of natural language processing (NLP) techniques for language understanding applications.
• Experience in model training, evaluation, deployment, and ongoing monitoring within production environments.
• Ability to work with unstructured data sources such as linked data or generative AI models for innovative applications.
• Skills in data analytics, data mining using Talend or comparable tools to support comprehensive analysis efforts.

Join us to be at the forefront of artificial intelligence innovation! Your expertise will help shape intelligent systems that empower businesses through scalable solutions driven by advanced analytics and machine learning techniques—making a real impact every day!

Pay: $150,000.00 - $200,000.00 per year

Benefits

• Flexible schedule
• Relocation assistance

Work Location: Hybrid remote in San Francisco, CA 94107