AI & ML Engineer (Contract)

April 26

RevOpsforce

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A revenue operations workforce management firm.

revenue

2 - 10

Description

• As an AI & ML Engineer at RevOpsforce, you will play a pivotal role in transforming our clients' revenue operations through the application of cutting-edge artificial intelligence and machine learning techniques. You will collaborate with our interdisciplinary team of experts to design, develop, and deploy AI-powered solutions that enable data-driven decision-making and process optimization.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field; advanced degree preferred. • 5+ years of professional experience in AI and ML engineering, with a proven track record of designing, developing, and deploying successful AI solutions. • Strong expertise in machine learning algorithms, deep learning frameworks (such as TensorFlow or PyTorch), and natural language processing (NLP). • Proficiency in programming languages such as Python, along with experience in relevant libraries and tools for data manipulation and model development. • Solid understanding of data preprocessing, feature engineering, and model evaluation techniques. • Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and deploying AI models at scale. • Excellent problem-solving skills and the ability to translate business requirements into technical solutions. • Strong communication skills to collaborate effectively with cross-functional teams and clients. • Proven ability to work on multiple projects simultaneously and deliver high-quality results within project deadlines.

Benefits

• Project-based work: Apply your RevOps expertise to various client projects, with engagements lasting multiple months. • Flexible schedule: Maintain a healthy work-life balance with a schedule ranging from 10 - 40 hours per week. Projects may not be consecutive, allowing you to structure your workweek as needed. This provides you with the freedom to pursue other interests or professional development during gaps between projects. • Continuous learning: Network with other top-tier RevOps professionals, fostering a collaborative environment for skill development and staying current in the industry.