Senior Software Engineer, Machine Learning/AI

As a Senior Software Engineer, Machine Learning / AI at Resource Data, you will play a pivotal role in interacting directly with clients to understand their business needs and develop customized AI solutions that drive real value.

Your work will involve translating complex problems into practical AI applications, ensuring that our clients not only keep up but stay ahead in their markets.

This role specifically will partner with the team to provide thought leadership and evangelism for Resource Data's Machine Learning / AI consulting practice.

Key Responsibilities Consult with clients to identify their business needs and potential AI solutions Design, develop, and deploy AI models and frameworks Work closely with project managers and technical teams to deliver high-quality solutions Stay updated with AI trends and advancements to provide innovative solutions Prepare and deliver presentations to clients on proposed solutions and their expected impact Basic Qualifications Bachelor’s or master’s degree in computer science, Artificial Intelligence, Data Science, or a closely related field (or equivalent experience) Proven experience in AI or machine learning project implementation Strong programming skills in Python, R, or similar languages Proven track record in consulting, advising, or working directly with clients on technology-driven projects Excellent verbal and written communication skills with the ability to explain complex AI concepts to non-expert stakeholders Preferred Qualifications Experience programming in C#, .

NET Frameworks, and SQL Server Understanding of neural networks, natural language processing, and computer vision Hands-on experience with cloud services and machine learning platforms such as Microsoft Azure, AWS, and Google Cloud.

Familiarity with cloud infrastructure, PaaS, and IaaS environments Knowledge of Azure Machine Learning, Azure Cognitive Services, and building and deploying models on Azure Experience with AWS Sagemaker, AWS Lambda, and AWS EC2 for deploying AI solutions Experience integrating and leveraging the OpenAI API to enhance business applications and workflows #LI-Hybrid About Us For more than 37 years, we’ve designed and built innovative technology solutions for our clients most complex challenges.

We work on diverse projects spanning different industries, tech stacks, and systems. Forming strong partnerships with our clients is a cornerstone of our success.

As a result, we’ve expanded to 5 locations and more than 200 employees. We Believe in Team We come from diverse backgrounds, not just IT, and have a wide range of interests.

This diversity brings unique perspectives and insights to our work. You’ll always find support from coworkers no matter their role or location.

We believe in working together, pooling our ideas and expertise to achieve amazing results. Together, let’s conquer challenges and grow our skills all while enjoying our work.

It’s About Balance Work-life balance isn’t a catch phrase, it’s a core value we live every day. Say goodbye to overtime, long hours, and constant travel.

Our culture is built around focusing on what truly matters to you. Whether it’s investing quality time with family, achieving personal fitness goals, dominating your favorite game, or embarking on that dream safari, we support your outside interests.

Join us and discover a more fulfilling and enjoyable way to work. Resource Data is an Equal Opportunity Employer and welcomes any qualified individuals authorized to work for ANY employer in the U.

S. Please note : Resource Data will not provide immigration-related support or sponsor employment authorization for this position .

Immigration related support includes documentation needed for any international student curricular, optional practical training (OPT), or exchange programs.

Visas that require sponsorship include any employment authorization documents that require immigration support from an employer.

Resource Data is not accepting candidates from third-party agencies at this time. The following states are not approved for remote payroll at this time : New York, California, New Jersey, Kentucky, Maine, Montana, New Hampshire, New Mexico, Vermont. Powered by JazzHR