Senior AI/ML Engineer

This is a fully remote position, open to applicants in Minnesota.

📋 Description

• Design, develop, and implement production-quality traditional machine learning models, encompassing regression, classification, clustering, and recommendation systems.

• Create, construct, and operationalize Generative AI and Agentic AI solutions, including Retrieval Augmented Generation, to enhance user experiences and streamline workflows.

• Design, maintain, and optimize comprehensive AI/ML pipelines that cover data ingestion, training, evaluation, deployment, and monitoring within cloud infrastructure.

• Integrate cloud-native and third-party AI SaaS solutions effectively.

• Ensure that AI/ML solutions are scalable, reliable, secure, and cost-efficient.

• Develop reusable components, frameworks, and best practices for AI development.

• Assess emerging AI technologies, Agentic AI protocols, and third-party low-code platforms.

• Address business challenges using innovative techniques and creative thinking.

• Collaborate with data scientists, architects, product managers, business stakeholders, and technical teams.

• Provide technical support and mentorship to enterprise technical teams.

• Empower other teams to incorporate AI into their products.

• Perform additional duties as assigned.

⛳️ Requirements

• A Bachelor's degree in computer science, information technology, engineering, or a related field is required; equivalent related experience and/or education may be considered upon evaluation.

• A minimum of 5 years of experience in designing and deploying ML/AI solutions in real-world settings.

• Alternatively, 8 years of software development/engineering experience, including at least 3 years of AI/ML experience.

• Demonstrable experience with Generative AI tools and technologies, including LLMs, prompt engineering, vector databases, RAG, and fine-tuning.

• Familiarity with machine learning algorithms, deep learning frameworks, cloud AI, Generative AI, and emerging Agentic AI technologies.

• Proficient in AWS, Azure, or GCP for scalable AI/ML development.

• Understanding of responsible AI principles, bias mitigation, and ethical deployment.

• Knowledge of MLOps best practices, including ML CI/CD, model monitoring, and versioning.

• Proficient in Python and popular ML/AI libraries such as TensorFlow, PyTorch, and scikit-learn.

• Strong grasp of data engineering, SQL, and feature engineering.

• Direct experience with AWS SageMaker, Lambda, ECS, S3, and IAM.

• Familiarity with Docker and orchestration tools like Airflow and Kubeflow.

• Experience with Git, Jira, and Confluence.

• Ability to develop robust, scalable, and efficient AI/ML solutions in cloud-native environments.

• Capability to translate ambiguous business problems into actionable technical ML/AI tasks.

• Skill in communicating complex concepts to both technical and non-technical stakeholders.

• Willingness to learn and adapt to evolving AI technologies.

• Preferred: Master's or PhD degree, experience with agentic AI frameworks, contributions to open-source projects or published research, cloud AI/ML certifications, and experience in regulated industries.

🏝️ Benefits

• Comprehensive medical, dental, vision, life, and disability benefits.

• Coverage for accident, critical illness, and hospital benefits.

• Well-being benefits to support a healthy lifestyle.

• Legal assistance benefits.

• Identity theft protection services.

• Pet-related benefits.

• Retirement savings plan.

• Paid time off and holiday leave.

• Additional leave benefits.

• Incentive plans available for eligible employees.