Über
Design and Develop AI/ML Solutions
Develop and implement models for advanced use cases, such as natural language processing, classification, and recommendation systems
Apply state-of-the-art machine learning techniques, including large language models (LLMs), generative AI, focusing on performance optimization and scalability
Optimize Infrastructure and Pipelines
Design scalable training pipelines and inference systems to handle large-scale data processing
Develop and optimize data storage and retrieval systems, such as vector databases, to ensure fast and reliable performance
Software Development and Integration
Collaborate with the AI Lab and cross‑functional teams to integrate machine learning models into existing systems while contributing to end‑to‑end platforms that combine AI capabilities with intuitive user experiences
Implement best practices in DevOps, including CI/CD, containerization, and cloud deployment
Monitor and Improve Model Performance
Build monitoring tools and evaluation frameworks to track machine learning models in production, ensuring sustained quality, accuracy, compliance, performance, and scalability
Collaborate with teams to troubleshoot and resolve performance issues, optimizing for latency and efficiency
Contribute to Innovation
Support the development of AI-driven automation tools and decision-making systems
Participate in exploring and piloting emerging technologies to enhance the Lab’s capabilities
Who You Are
Hands-on experience in designing, deploying, and maintaining production-grade machine learning systems
Proven ability to work with both structured and unstructured data in large-scale environments
Strong problem-solving and analytical thinking abilities
Excellent communication and collaboration skills to work with cross-functional teams
Ability to manage competing priorities and deliver high-quality work within deadlines
Mentor team members and contribute to the knowledge-sharing culture within the Lab
Education
Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field (Master’s preferred)
Experience
3+ years of experience in machine learning engineering or software development
Required Skills
Machine Learning and AI:
Experience with LLMs, NLP, generative AI, and advanced deep learning techniques
Proficiency in PyTorch, TensorFlow, and distributed training frameworks
Infrastructure and Pipelines:
Knowledge of scalable data pipelines, inference systems, and cloud computing platforms (e.g., AWS, Google Cloud, Azure)
Familiarity with vector databases, ETL pipelines, and real-time processing systems
Programming and Development:
Proficiency in Python, and experience with Java and C++ for building production-grade systems
Experience with software development practices such as version control (Git), containerization (Docker), and API design
Data Processing and Analysis:
Expertise in feature engineering, ETL processes, and handling large-scale datasets
Strong command of SQL and tools for data manipulation and analysis
Preferred Skills
Familiarity with monitoring tools such as Prometheus, MLflow, and OpenTelemetry
Experience in deploying AI systems with Terraform, Kubernetes, or similar DevOps tools
Exposure to SaaS platform development or intelligent recommendation systems
Where You'll Be ****This is a remote position, with travel to the temporary company headquarters in Ft Worth, TX, 1 week every 4-6 weeks for team collaboration. Once our new plant in Jacksonville, FL is open (in 1-2 years), you'll travel there 1 week every 4-6 weeks. Benefits Otto Aerospace provides a robust benefits package that includes competitive salaries, subsidized medical, dental, and vision coverage, 401(k) opportunities, paid short term disability, voluntary long-term disability and additional term life, with 15 paid days off, 13 paid company holidays, and paid sick leave. Depending on seniority and role, some roles qualify for potential bonuses and stock options. Otto Aerospace is an Equal Opportunity Employer We are committed to diversity, equity, and inclusion in every aspect of our hiring process. All applicants will be considered for employment regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability. We believe that a diverse team brings fresh perspectives, innovative ideas, and greater success. The more inclusive we are, the stronger we become. Applicants must be legally authorized to work in the U.S.
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Sprachkenntnisse
- English
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