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Maximus · 3 days ago

Senior AI/ML Software Engineer

United States

Full-time

Remote

Senior Level

$160K/yr - $170K/yr

7+ years exp

Maximus is a company focused on providing innovative solutions for federal agencies, and they are seeking a Senior AI/ML Software Engineer. This role involves designing and implementing machine learning solutions, collaborating with teams to enhance product functionality, and maintaining knowledge of the AI technology landscape.

Business Process Automation (BPA)ConsultingEducationGovernmentGovTechHealth CareInformation Technology

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

Lead, develop, collaborate, and advance the applied and responsible use of AI, ML, mathematical, and data science solutions throughout the enterprise by finding the right fit of tools, technologies, methodologies, processes, and automation to enable effective and efficient solutions for each unique situation. Lead the use of applied mathematical analyses to provide solutions

Lead efforts across the enterprise to support the creation of solutions and real mission outcomes, emphasizing and teaching the ability to flex and demonstrate initiative when dealing with ambiguous and fast-paced situations

Act as technical translator and role model for effectively articulating and translating technical needs, solutions, outputs, and impacts to all levels, regardless of technical proficiency, in a respectful, collaborative, and situationally appropriate manner

Maintain deep, current knowledge of the AI technology landscape and emerging developments, evaluating their applicability for use in production/operational environments

Lead the creation, curation, and promotion of playbooks, best practices, lessons learned, and firm intellectual capital

Design, develop, and deploy (AI) Machine Learning, Deep Learning models that support business objectives and enhance product functionality

Demonstrated knowledge in designing, building, testing, and deploying machine models

Collaborate with software engineers and data scientists to integrate trained models into production environments and ensure scalable performance

Proficient in using Python, have good working knowledge of R, and other programming languages to develop data pipelines, preprocessing routines to clean up data, and model automation workflows as needed

Apply knowledge of data structures, algorithms, and statistics to ensure model accuracy, efficiency, and reliability

Work with large language models (LLMs) such as ChatGPT, Gemini, or Meta LLMs, including OpenAI API integration and prompt optimization

Preferably to have worked with LangChain family of products, MCP, and other integration technologies with databases and other knowledge artifacts

Implement and maintain MLOps practices for continuous training, deployment, and monitoring of AI models

Evaluate and adopt emerging AI tools, frameworks, and methodologies to improve system performance and development efficiency

Collaborate cross-functionally to identify opportunities for AI applications and translate business requirements into technical solutions

Document system design, model performance, and process workflows to support transparency, reproducibility, and future improvements

Qualification

Machine LearningDeep LearningPythonMLOpsData StructuresAlgorithmsStatisticsLarge Language ModelsRPyTorchTensorFlowAWS CertificationGoogle Cloud CertificationMicrosoft Azure CertificationCommunication SkillsTime Management

Required

The selected candidate must be able to obtain and wait for the completion of an interim federal background investigation prior to starting employment

Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience

A bachelor's degree in computer science is strongly preferred; however, additional years of directly related professional experience may be considered in lieu of a degree

Degrees in Mathematics, Artificial Intelligence, Data Science, or related fields are also acceptable

10+ years of professional software engineering experience, with proficiency in one or more programming languages such as Java, Python, or R

2+ years of current hands-on experience in areas such as data mining, machine learning, deep learning (neural networks), data structures, algorithms, statistics, and AI model training

Practical experience working with Python, PyTorch, TensorFlow, and related frameworks and libraries

Experience with at least one large language model (LLM) platform such as ChatGPT, Gemini, or Meta LLMs, with a solid understanding of OpenAI APIs and their integration

Strong verbal and written communication skills

Demonstrated success in client support

Ability to interface with all levels of management

Ability to perform complex tasks with minimal supervision and guidance

Excellent time management, scheduling and organizational skills

Ability to work well independently or in a team setting

Candidates must meet requirements to obtain and maintain a federal background investigation clearance

To be eligible for the federal background clearance, candidates must be a US Citizen or a Legal Permanent Resident (Green Card status) for at least three (3) years

Preferred

Preferred certifications include AWS Certified Machine Learning - Specialty, Google Cloud Professional Machine Learning Engineer, Microsoft Certified: Azure AI Engineer Associate, TensorFlow Developer Certificate, or IBM Machine Learning Professional Certificate