18 часов назад
Senior AI/ML Engineer (Generative AI)
120 000 - 150 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior AI/ML Engineer (Generative AI): Designing, developing, and deploying production-grade machine learning, GenAI, and Agentic AI solutions across business domains with an accent on scalable cloud-native systems, MLOps, and responsible AI. Focus on building RAG and agentic workflows, operationalizing end-to-end AI/ML pipelines, and evaluating emerging AI technologies for enterprise adoption.
Location: Remote in Minnesota, United States
Salary: $120,000–$150,000 per year
Company
supports organizational initiatives through an AI Center of Excellence and cross-functional technology teams.
What you will do
- Design, develop, and deploy production-grade machine learning models for diverse business use cases.
- Build and operationalize Generative AI and Agentic AI solutions, including Retrieval-Augmented Generation workflows.
- Design, maintain, and optimize end-to-end AI/ML pipelines covering data ingestion, training, evaluation, deployment, and monitoring.
- Integrate cloud-native and third-party AI SaaS solutions and ensure that systems are scalable, dependable, secure, and cost-effective.
- Evaluate emerging technologies such as Model Context Protocol, Agent-to-Agent protocols, and low-code AI platforms.
- Partner with data scientists, architects, product managers, business stakeholders, and technical teams while mentoring teams adopting AI.
Requirements
- 5+ years of experience designing and deploying ML/AI solutions, or 8+ years of software engineering experience including 3+ years in AI/ML.
- Bachelor’s degree in computer science, information technology, engineering, or a related field, or equivalent experience and education.
- Proficiency in Python and common ML/AI libraries such as TensorFlow, PyTorch, and scikit-learn.
- Experience with cloud platforms and services including AWS SageMaker, Lambda, ECS, S3, and IAM.
- Knowledge of data engineering, SQL, feature engineering, MLOps, CI/CD for ML, model monitoring, versioning, Docker, and orchestration tools.
- Proven experience with LLMs, prompt engineering, vector databases, RAG, and fine-tuning.
Nice to have
- Master’s or PhD in a related technical field.
- Hands-on experience with Agentic AI frameworks.
- Open-source AI/ML contributions, published research, or cloud-provider AI/ML certifications.
- Experience in highly regulated industries such as healthcare or finance.
Culture & Benefits
- Regular, full-time employment with medical, dental, vision, life, disability, accident, and critical illness benefits.
- Well-being, legal, identity theft, and pet benefits are available to eligible employees.
- Retirement plans, paid time off, holidays, leave, and incentive plans are offered to eligible employees.
- Average schedule of 40 hours per week with no domestic travel required.
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