Overview

PDF was recognized by Forbes as one of America's Best Small Employers for 2023. This ranking highlights only 300 companies out of 10,000 that were considered in the Forbes nationwide analysis and PDF solutions ranked 55! The results are based on an employee satisfaction survey as well as a social listening analysis of employee feedback conducted by a Forbes research firm.

If you possess deep expertise in both AI/ML and large-scale data engineering, and you find excitement in architecting transformative analytics solutions, then this is your call. We're seeking a seasoned professional to lead our AI/ML initiatives within the context of big data, pushing the boundaries of predictive analytics and data-driven insights.

Responsibilities

• Architect Large-Scale AI/ML Solutions: Design scalable, robust AI/ML pipelines, integrating distributed computing frameworks (Spark, etc.) for efficient big data processing and model training.
• Champion Model Optimization & Deployment: Drive performance tuning, model selection, and create seamless deployment strategies for production environments, ensuring real-time insights.
• Oversee Data Infrastructure: Collaborate with data engineers to architect big data systems that support AI/ML workloads, ensure data quality, and guide optimization for model requirements.
• Lead Research & Innovation: Initiate and oversee research into promising new AI/ML techniques or libraries specifically relevant to large-scale data challenges.
• Mentor & Guide: Provide technical leadership, mentor junior colleagues, and establish best practices across the analytics team.

Qualifications

• Advanced Degree & Experience: MS/Ph.D. in Computer Science, Data Science, or a related field. 10 years of proven experience designing and implementing AI/ML solutions within big data environments.
• Big Data Mastery: Expertise in Spark, Hadoop Ecosystem, cloud-based big data technologies, and distributed computing principles.
• Deep AI/ML Fluency: Extensive knowledge of supervised/unsupervised learning, deep learning frameworks (TensorFlow, PyTorch, etc.), NLP, or other specialized AI/ML domains.
• Strategic Thinker: Ability to translate business objectives into AI/ML project roadmaps, identify potential ROI, and evaluate technologies strategically.
• Exceptional Communication & Leadership: Proven ability to communicate complex technical concepts to a variety of stakeholders, inspire collaboration, and lead teams towards a unified vision.

Why You Should Apply:

• Make History in Analytics: Shape the forefront of big data analytics, influencing how industries leverage AI/ML to solve unprecedented challenges.
• Realize the Full Potential of AI/ML: Apply your skills to complex, real-world datasets, where models can have a true, tangible impact on business success.
• Lead a Team of Innovators: Collaborate with brilliant data scientists, engineers, and industry experts united in driving cutting-edge solutions.

Pay Range