AI Engineer

Job not on LinkedIn

🕒 September 10

🗽 New York – Remote

🗽 New York – Remote

💵 $65.3k - $117.6k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 24%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Open for 62 days.
• Jobs at this company usually fill in 34 days.
• Reposted once.

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LTHC

WebsiteLinkedInAll Job Openings

2 - 10 employees

Founded 2016

🧘 Wellness

⚽ Sports

👥 B2C

Wellness • Sports • B2C

LTHC é a empresa que detém a Academia LIFT e pretende adquirir ou desenvolver outros espaços no mesmo âmbito. Foca‑se na experiência do cliente — conforto, interação com o espaço e objetivos pessoais — para atletas, praticantes ocasionais e profissionais, apoiando metas de bem‑estar físico, psicológico e desempenho competitivo. Opera como um espaço de fitness/treino com ênfase em culturismo, exercício e saúde.

📋 Description

• Develop artificial intelligence and machine learning solutions to solve business problems and improve member health outcomes • Develop LLM and generative AI applications, machine learning models, NLP solutions, optimization and mathematical programming, and recommendation systems • Build and refine data pipelines for feature engineering and ML model input • Collaborate with data engineering teams to acquire, clean, and prepare training data • Support model evaluation, testing, and performance monitoring in pre-production environments • Develop and optimize AI models on cloud-based ML platforms such as Databricks • Collaborate with CI/CD and ML Operations engineers on model deployment and monitoring • Participate in peer code reviews and follow AI software development best practices • Develop and refine prompt engineering techniques for LLM and generative AI interactions • Contribute to reproducible, scalable, and maintainable AI/ML model lifecycles • Translate business objectives into AI/ML formulations and measurable success criteria • Optimize and fine-tune models for performance, explainability, and efficiency • Integrate AI models with enterprise applications, APIs, and data pipelines • Lead discovery and solutioning for high-impact AI opportunities • Design and implement scalable AI architectures integrated with enterprise systems • Lead LLM and generative AI initiatives aligned with business needs • Mentor junior team members and foster engineering excellence • Recommend best practices for AI model governance, versioning, and compliance • Engage leadership and cross-functional teams to align AI strategies with business goals • Maintain member privacy, comply with corporate policies and Code of Conduct, attend reliably, and perform other assigned functions

🎯 Requirements

• Bachelor's degree required; in lieu of a degree, six (6) years of relevant experience required • Prior professional, co-op, or internship experience developing AI/ML solutions, or relevant coursework • Basic understanding of fundamental ML concepts, algorithms, and statistical techniques • Basic experience working with databases, SQL, and data manipulation • Strong problem-solving skills and willingness to learn • Level II: Hands-on professional experience developing ML models for real-world applications • Level II: Intermediate proficiency with cloud-based ML platforms such as Databricks, AWS SageMaker, or Azure ML • Level II: Intermediate knowledge of model performance monitoring and optimization techniques • Level II: Experience with large-scale data pipelines and distributed computing frameworks such as Spark • Level II: Familiarity with CI/CD and ML Ops/LLM Ops principles • Level II: Experience with large language models and generative AI technologies • Level II: Ability to present technical concepts to technical and non-technical stakeholders • Level III: Significant professional experience and knowledge in AI/ML engineering, with a track record of developing models at scale • Level III: Advanced proficiency in AI/ML model architecture, optimization, and explainability techniques • Level III: Advanced experience integrating AI solutions with business applications and APIs • Level III: Extensive experience with LLMs and generative AI in production environments • Level III: Advanced understanding of AI model lifecycle management, governance, and operationalization • Level III: Leadership experience mentoring and guiding AI engineering best practices • Level III: Ability to engage with executives and business leaders to drive AI strategy • Ability to orally communicate • Must be able to travel across the enterprise • Ability to work in a home office for continuous periods of time for business continuity

🏖️ Benefits

• Group health and/or dental insurance • Retirement plan • Wellness program • Paid time away from work • Paid holidays • Possible remote work, decided case-by-case

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