Senior Machine Learning Engineer II

3 days ago

Charlotte, NC, USA +2 moreSenior

Base Salary

$150k - $226k/yr

Responsibilities

Design, develop, and productionize machine learning solutions for document understanding, search and Q&A, generative AI, and virtual agents.
Develop and maintain Python backend services for AI-driven applications.
Design and implement APIs integrating AI models and services.
Serve as a machine learning specialist and subject matter expert while collaborating with product managers, engineers, and other stakeholders.
Manage the full ML model lifecycle, including problem definition, data exploration, feature engineering, training, validation, and deployment.
Participate in code reviews, testing, and quality assurance.
Troubleshoot AI model, integration, deployment, and backend-service issues.
Implement telemetry, A/B testing, statistical validation, and automated testing for ML solutions.
Document and communicate development processes, system designs, and architectural decisions.
Protect healthcare data and adhere to HIPAA requirements.

Bachelor’s or master’s degree in computer science, machine learning, or a related quantitative field.
At least 6 years of industry experience focused on developing and deploying machine learning solutions.
Strong knowledge of object-oriented programming, design patterns, efficient algorithms, and quality software development.
Strong Python proficiency and familiarity with machine learning libraries such as PyTorch.
Knowledge of statistical machine learning and artificial intelligence for NLP, speech, RAG, virtual agents, or document processing.
Familiarity with AWS or Azure cloud platforms.
Familiarity with OpenAI GPT, Anthropic Claude, Google Gemma, or similar generative AI services, including prompt development and fine-tuning.
Experience with microservices or an API-based application paradigm.
Strong problem-solving, logical thinking, attention to detail, collaboration, written communication, customer focus, innovation, product quality, and test engineering capabilities.

Hybrid work arrangement requiring 3 days in an office in NYC, Denver, CO, or the Charlotte, NC area.