Senior AI Engineer

Job Title- Senior AI Engineer

Department- IT

Reports to- VP Software Development

Location- Remote

Who we are-

Elevate Aviation Group, established in 2003, provides air transportation, travel consultancy, aircraft acquisitions and aircraft management services to some of the most recognized names in business, sports, entertainment, government, and higher education. Elevate Aviation Group’s wholly owned subsidiaries, Private Jet Services, Elevate Jet, and Elevate MRO share a mission to provide aircraft owners and flyers unsurpassed service, safety, and counsel. Whether clients require charter flights, large group travel, aircraft management services, aircraft maintenance or aircraft acquisition services, Elevate Aviation Group delivers highly personalized solutions to meet each client’s unique needs 24 hours a day, 365 days of the year to any destination.

Summary of Position-

We are seeking a highly skilled Senior AI Engineer to develop and implement AI and machine learning solutions using a combination of external and proprietary data sources. This role will leverage AWS tools and services to build scalable, secure, and efficient data-driven systems that support business decision-making, optimize operations, and foster innovation across the organization.

Essential Duties & Responsibilities-

• Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability
• Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of our aviation systems.
• Contribute to the technical vision and the long term roadmap of foundational AI systems
• Foster productive cross-functional communication with our teams, actively proposing AI-driven enhancements for novel product features
• Engage in in-depth technical exploration of diverse machine learning solutions, technology stacks, and infrastructure to drive innovation and optimisation
• Develop monitoring, alerting, and diagnostics systems to ensure high-quality product delivery.
• Ensure data privacy, security, and compliance by following industry best practices for access control and encryption.
• Effectively communicate insights and model outcomes to both technical and non-technical stakeholders using visualization tools.

Knowledge, Skills & Abilities-

Required:

• Strong expertise in Python, R, or other data science programming languages, with hands-on AWS integration experience.
• Experience with machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn on AWS.
• Proficiency in AWS data storage and compute services (e.g., S3, RDS, EMR).
• Deep understanding of AWS security, compliance, and data privacy best practices.

Preferred:

• Experience deploying models using AWS SageMaker Pipelines or MLOps on AWS.
• Knowledge of AWS AI services (e.g., Comprehend, Rekognition, Translate).
• Familiarity with big data technologies on AWS (e.g., Elastic MapReduce, Glue, Athena).

Education & Experience-

• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field (PhD is a plus).
• 5+ years of experience in data science, AI, or machine learning, with practical AWS infrastructure experience.

Schedule & Travel-

•  Normal business hours are expected.
•  Travel not anticipated.

Miscellaneous-

• FLSA Status- Full Time exempt
• Lifting requirements- Up to 20lbs.