Embedded software engineer [h1.location_city]
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Embedded software engineer • springfield il
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Description & Requirements The Senior AI Software Engineer will design, develop, and implement machine learning solutions, support AI initiatives for our federal agency client, and contribut...[show_more][last_updated.last_updated_variable_days]
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Senior AI / ML Software Engineer
MaximusSpringfield, IL, US[job_card.variable_days_ago]
[job_preview.job_type]
- [job_card.permanent]
- [job_card.temporary]
[job_card.job_description]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 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. 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. 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 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
Description & Requirements
The Senior AI Software Engineer will design, develop, and implement machine learning solutions, support AI initiatives for our federal agency client, and contribute to innovative projects.
Position is fully remote.
Candidates in the Washington DC area are preferred.
The selected candidate must be able to obtain and wait for the completion of an interim federal background investigation prior to starting employment.
Maximus will provide guidance and facilitate the necessary administrative steps required for this process, which typically takes approximately 3-4 months.
Essential Duties and 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.
Job-Specific Essential Duties and Responsibilities :
improve system performance and development efficiency.
Minimum Requirements
Job-Specific Minimum Requirements :
Degrees in Mathematics, Artificial Intelligence, Data Science, or related fields are also acceptable.
Preferred Skills and Qualifications :
#techjobs #clearance #veteranspage
EEO Statement
Maximus is an equal opportunity employer.
We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics.
Pay Transparency
Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment.
Annual salary is just one component of Maximus's total compensation package.
Other rewards may include short- and long-term incentives as well as program-specific awards.
Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off.
Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience.
An applicant's salary history will not be used in determining compensation.
Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances.
Accommodations
Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment.
If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at applicantaccom@maximus.com.
Minimum Salary
160,000.00
Maximum Salary
170,000.00