About RevOpsforce:

RevOpsforce is a revenue operations workforce management firm supporting clients to unlock revenue potential through solutions that better align people, processes, data, and technology. We empower organizations with cutting-edge revenue operations management systems, seamlessly aligning sales, marketing, and customer service teams to unlock increased revenue and elevate overall company value. Whether their focus is on enhancing existing revenue generation, streamlining operations through specialized services, refining data management, or optimizing marketing and sales processes, we are their partner for agile and strategic growth support.

Our Expert Network is composed of the highest skilled and certified professionals in revenue operations. We leverage this network to solve our clients’ most complex operational challenges.

Type: Contract - Expert Network

Job 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.

Responsibilities:

• Work closely with cross-functional teams to identify and understand clients' revenue operations challenges that can be addressed using AI and ML technologies.
• Design, develop, and implement AI and ML models that generate actionable insights, predictions, and recommendations to drive revenue growth and operational efficiency.
• Collect, preprocess, and analyze large and complex datasets to extract meaningful patterns and insights that inform AI model development.
• Collaborate with data engineers to ensure seamless data integration and availability for model training and deployment.
• Optimize and fine-tune AI and ML models to ensure accuracy, reliability, and scalability in real-world scenarios.
• Stay up-to-date with the latest advancements in AI and ML technologies and apply them to enhance our solution offerings.
• Participate in code reviews, knowledge sharing, and mentoring to promote best practices within the AI and ML team.

Qualifications:

• 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.

The Expert Network at RevOpsforce 

The new world of work is empowering, where the freedom to work on your terms has never been more attainable. Embrace the flexibility to choose where, when, and how you work, all within the evolving landscape of the gig economy and dynamic employee-employer relationships. At RevOpsforce, our commitment lies in crafting agile working arrangements that open doors to a wealth of contract opportunities, now easily accessible to you.

What to Expect:

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.

Who We're Looking For:

The Expert Network seeks passionate RevOps professionals with:

• Strong experience in revenue operations functions
• A desire to contribute to impactful projects
• A commitment to staying current in the RevOps landscape
• A preference for a self-directed, project-based work style

Join the Movement:

The RevOpsforce Expert Network allows you to:

• Contribute to the success of our clients through strategic RevOps initiatives.
• Maintain work-life balance with a flexible schedule you control.
• Continuously develop your skills through collaboration with a skilled community.
• Be at the forefront of the evolving RevOps landscape.
• Curate your workload: The project-based nature, with potential gaps between engagements, allows you to manage your time effectively and pursue other opportunities or personal interests.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

www.revopsforce.com