Senior ML Intergration Engineer

Key Responsibilities

• Model Integration: Deploy and integrate machine learning models into production environments.
• Pipeline Development: Develop and manage end-to-end ML pipelines for data processing, model training, and deployment.
• Performance Optimization: Monitor and optimize the performance of ML models in production.
• Collaboration: Work with data scientists and engineers to align model requirements and ensure effective integration.
• Automation: Implement CI/CD practices for ML models and automate deployment workflows.
• Troubleshooting: Diagnose and resolve issues related to ML model performance and integration.
• Documentation: Maintain documentation for integration processes, model configurations, and performance metrics.

Qualifications

• Education: Bachelor’s degree in Computer Science, Data Science, Machine Learning, Engineering, or a related field.
• Experience: 5+ years of experience in machine learning engineering with a focus on integrating ML models into production.
• Technical Skills: Proficiency in Python, and experience with ML frameworks like TensorFlow or PyTorch.
• ML Integration: Experience deploying and maintaining ML models in production environments.
• Cloud Platforms: Familiarity with cloud platforms such as AWS, Google Cloud, or Azure.
• Data Pipelines: Experience with developing and managing ML pipelines.
• Problem-Solving: Strong problem-solving skills with the ability to troubleshoot ML model issues. 

• Education: Master’s or Ph.D. in Computer Science, Data Science, Machine Learning, Engineering, or a related field.
• Experience: 7+ years of ML engineering experience with a proven track record in production environments.
• Advanced Skills: Expertise in ML frameworks, with experience in ML Ops tools and performance tuning.
• Cloud Platforms: Advanced knowledge of cloud ML services (e.g., AWS SageMaker, Google AI Platform).
• Certifications: Relevant ML or cloud certifications (e.g., AWS Certified Machine Learning Specialty).
• Industry Experience: Experience in the aerospace or technology sectors is highly desirable.

• This position may include access to technology and/or software source code that is subject to U.S. export controls. To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158,  or be eligible to obtain the required authorizations from the U.S. Department of State. 

Benefits

• Health Insurance: Comprehensive medical, dental, and vision coverage.
• Retirement Plans: Access to a 401(k) plan.
• Paid Time Off: Generous vacation days, personal days, and holidays to ensure you have time to recharge.
• Professional Development: Opportunities for ongoing training, workshops, and courses to advance your skills and career growth.
• Team Building Activities: Regular social events, team outings, and company-sponsored activities to foster a positive work environment.
• Diverse and Inclusive Culture: A commitment to diversity and inclusion, with initiatives to support a welcoming and equitable work environment.