Model Deployment

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2 jobs found

11d ago

AI Engineer

Booz Allen Hamilton Arlington, VA

Arlington, VA

11d ago

$78k - $176k/yr Full time AI Ai Ml Artificial Intelligence

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Job Description

AI Engineer on Booz Allen Hamilton's Global Defense team responsible for training, testing, deploying, and maintaining ML models, with exposure to next generation tooling such as LLMs, RAG pipelines, and AI agents.

Responsibilities

Train, test, deploy, and maintain models that learn from data.
Apply suitable ML algorithms and technologies to mission-critical solutions.
Collaborate with senior architects, platform leads, and business stakeholders to deliver solutions across enterprise and mission environments.
Engage with next-generation tooling such as LLMs, RAG pipelines, and AI agents while contributing to high-impact efforts requiring both technical skill and strategic insight.
Help clients navigate the landscape of ML algorithms, tools, and frameworks.
Collaborate with the team to address real-world challenges.
Define ML strategy for Global Defense.

Requirements

2+ years of experience in machine learning engineering within software engineering or data engineering roles.
Experience building AI-enabled features or prototypes using LLMs, embeddings, or third-party APIs including OpenAI or Anthropic.
Experience with prompt engineering concepts and using LLM SDKs or frameworks such as LangChain or LlamaIndex.
Experience with application containerization, CI/CD deployments, and Python.
Experience with cloud platforms including AWS, Azure, or GCP and their AI or ML services.
Experience with a vector database or search framework such as OpenSearch or Weaviate.
Experience developing backend services and building or consuming RESTful APIs.
Ability to follow code review practices, document work, and maintain clean, reusable code.
Secret clearance.
Bachelor’s degree.

Technologies

Python
Docker
Git
AWS, Azure, GCP
OpenAI, Anthropic
LangChain, LlamaIndex
Ollama, Weaviate, OpenSearch
Cursor, Cline, Windsurf, Claude Code, LLMs

Benefits

Health benefits
Life insurance
Disability benefits
Financial benefits
Retirement benefits
Paid leave
Professional development
Tuition assistance
Work-life programs
Dependent care

Clearance

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.

Compensation

Salary at Booz Allen is determined by location, education, knowledge, skills, competencies, experience, contract affordability, and organizational requirements.
Projected compensation range: USD 77,600.00 to 176,000.00 per year.
The displayed estimate represents the typical salary range and is one component of the total compensation package.
This posting will close within 90 days from the Posting Date.

Identity Statement

Identity verification will leverage advanced biometrics and AI; you are expected to be on camera during interviews and assessments. Booz Allen may take your picture to verify identity and prevent fraud.

Candidate AI Usage Policy

AI is part of daily work at Booz Allen, and use of AI or other tools to assist with responses during interviews is prohibited unless explicit permission is provided.

Work Model

Remote: Occasional in-person work at Booz Allen or customer facilities may be required.
Hybrid: Frequent work from a Booz Allen facility; may also involve customer facilities.
Onsite: Work primarily at a Booz Allen office or customer facility, collaborating with colleagues and customers.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, veteran status, or any other status protected by applicable law.

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1mo ago

Staff Machine Learning Engineer, Energy & Charging

Tesla Palo Alto, CA

Palo Alto, CA

1mo ago Closed

$100k - $270k/yr Full time Analytics Artificial Intelligence Data Analysis

This position is no longer accepting applications (closed Jun 29, 2026).

Job Description

Tesla is seeking a Staff Machine Learning Engineer to help shape predictive life models and ML workflows for its Energy and Charging products. This onsite role in Palo Alto involves working with some of the largest real-time data streams from testing, manufacturing, and fleet operations to enable prognostics and data-driven design actions across complex systems.

Responsibilities

Develop, train, and deploy predictive and control models that capture physical degradation, usage patterns, and overall system performance
Create robust, flexible automated tools to support advanced analyses of real-time fleet data
Design scalable and reliable data pipelines to productionize and monitor both new and existing models
Translate complex business requirements and research findings into actionable data-driven insights and solutions
Conduct ongoing research in AI/ML with a focus on physics-informed AI to rapidly test and prototype new ideas

Requirements

Strong production-quality Python coding skills, experience with major deep learning frameworks, and solid software engineering practices
Practical experience with C to integrate with firmware and drive projects toward shipped products
Expertise in handling and optimizing large datasets, data pipelines, and AI models
Solid understanding of linear algebra, probabilistic theory, numerical optimization, and deep learning with hands-on implementation
General knowledge of physics and engineering principles

Technologies

Python
C
Major deep learning frameworks

Benefits

Medical plans with multiple options and zero payroll deduction
Family-building, fertility, adoption, and surrogacy benefits
Dental and vision plans with zero paycheck contribution options
Company-paid Health Savings Account (HSA) contributions when enrolled in high-deductible plans
Healthcare and Dependent Care FSAs
401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits
Company-paid Basic Life and AD&D insurance
Short-term and long-term disability coverage
Employee Assistance Program
Sick and vacation time, paid holidays, and flexible time for salaried employees
Back-up childcare and parenting support resources
Voluntary benefits including critical illness, hospital indemnity, accident, and pet insurance
Weight loss and tobacco cessation programs, Tesla Babies program, and commuter benefits
Employee discounts and perks program

What to Expect

Tesla aims to build predictive life models for charging and energy products by leveraging large-scale, real-time data from test facilities, manufacturing, and fleet operations. You will develop machine learning models that enable prognostics and guide targeted design actions, with influence reaching millions of Tesla customers.

Expected Compensation

The salary range is $100,000 to $270,000 per year, plus potential cash and stock awards and benefits. Pay offered may vary based on location, experience, and skills. The overall compensation package may include additional elements, which will be detailed with an offer of employment.

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Model Deployment Data Jobs

AI Engineer

Staff Machine Learning Engineer, Energy & Charging

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