AI / ML Full Stack Engineer

Title : AI / ML Full Stack Engineer

Duration : 9 Months - Long Term

Location : Washington, DC 20433

Hybrid Onsite : 4 Days per week onsite from Day1

Role and responsibilities :

• Developing AI models : Building and fine-tuning machine learning models, including specialized ones like large language models (LLMs), to solve development challenges.
• Engineering cloud applications : Designing and building cloud-native data and AI tools and ensuring they are scalable, secure, and performant. Client frequently uses cloud platforms like Azure, GCP, or AWS.
• Building user interfaces : Developing the front-end user experience, including interactive data and knowledge dashboards.
• Managing data infrastructure : Handling large, complex datasets, including data sourcing, cleaning, and preparation for model training.
• Implementing best practices : Coordinating the technical work of data teams by conducting code reviews , implementing MLOps strategies, and ensuring ethical AI use
• Working with stakeholders : Collaborating with internal teams and external partners to gather requirements and present AI-driven solutions.

Required skills and qualifications :

To succeed in this position, you need a strong technical foundation and experience with both the AI and software development lifecycles.

"Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of - Minority / Gender / Disability / Religion / LGBTQI / Age / Veterans."